postgraduate Diploma In Management
postgraduate program with Fintech and Data Science & AI specialisation
Leading online postgraduate program with 2 specialisations
Fintech
AI & Data Science
Excel in Fintech, Artificial Intelligence and Data Science
Learn the nuances of Fintech, Artificial Intelligence and Data Science with an advanced online postgraduate diploma program created with BIMTECH. The two-year program involves over 2400 hours of extensive hands-on training delivered by top-tier faculty. This program will help you master every aspect of fintech, artificial intelligence and data science through a practice-based approach. Explore the latest industry tools and best practices of the expansive financial sector and prepare to become a leading fintech and data science professional.
BIMTECH Alumni Status
Earn your diploma from one of the best Indian business schools, BIMTECH and become part of a 60-year-old legacy. The BIMTECH alumni status will confer a host of networking benefits and make you the top choice for potential employers.
One-of-a-kind Specialisation
Powered by Imarticus Learning, this unique new-age curriculum offers in-depth fintech, artificial intelligence and data science knowledge delivered by an experienced faculty. You will learn the intricacies of big data processing and its solutions, blockchain and NBFCs.
Industry Partnerships
Using materials supported by our research, expertise, and technology partners like HSBC, JP Morgan, Citi Bank, Capgemini, and others, you can keep up with the most current methods and developments in the fintech, artificial intelligence and data science industries.
Dedicated Career Support
Imarticus career services include resume development, profile enhancement, interview preparation workshops and one-on-one career counselling to prepare you for a new-age industry. Accelerate your progress with your mentor and prepare for a fulfilling data science, artificial intelligence and fintech career.
Live Learning
Our live instructor-led sessions enable you to understand crucial data science, artificial intelligence and fintech concepts with the help of experts in the field. Gain access to your course on the LMS, get assessed in real-time and work on industry-specific projects to apply what you have learned.
Mentorship and Networking
Your mentor will assist you during the program to help you reach the best learning outcomes. Expand your professional network and interact with BIMTECH alumni by participating in networking events and job fairs held exclusively for our learners.
Management Information Systems
Marketing Management - I
Organisational Behaviour
Quantitative Techniques
Business Economics
Financial and Managerial Accounting
Data Analytics
Human Resource Management
Information System Strategy
Operations Management
Emerging Technologies
Research Methodology
Global Business Environment
Strategic Management
Enterprise Risk Management
Soft Skills
Financial Markets 1
Financial Markets 2
Introduction to FinTech
FinTech in Banking and Finance
Blockchain and Applications
Fundamentals of Financial Markets
Fintech in BFSI
Blockchain & its Applications
Cryptocurrencies
Cloud Computing
Robotic Process Automation
Machine Learning in FinTech
Fundamentals of Cryptocurrencies
Cloud Computing & RPA
Role of ML in Fintech
Corporate Social Responsibility
Entrepreneurship Management
How much does a PGDM Fintech professional make?
Average annual salary in Fintech is INR 5 lakhs.
Digital transformation managers are primarily responsible for leading and strategising the organisation's digital transformation path. They ensure that the right IT infrastructure is acquired and deployed on-site, IT procurement is done, and digital reform is stable.
In order to drive business growth, they create products by combining unconventional thinking with customer empathy and unconventional techniques. They integrate new technology with best practices in fintech products
They are employees who specialise in marketing a company's specific products or services. They specialise in product-related branding activities. It's their duty to ensure branding is consistent so that the product can be easily identified.
Blockchain project managers oversee all decentralised ledger projects and serve as a liaison between developers and clients. They ensure that developers understand the project's goal and that customers' expectations are met.
Digital transformation managers are primarily responsible for leading and strategising the organisation's digital transformation path. They ensure that the right IT infrastructure is acquired and deployed on-site, IT procurement is done, and digital reform is stable.
In order to drive business growth, they create products by combining unconventional thinking with customer empathy and unconventional techniques. They integrate new technology with best practices in fintech products
They are employees who specialise in marketing a company's specific products or services. They specialise in product-related branding activities. It's their duty to ensure branding is consistent so that the product can be easily identified.
Blockchain project managers oversee all decentralised ledger projects and serve as a liaison between developers and clients. They ensure that developers understand the project's goal and that customers' expectations are met.
Digital transformation managers are primarily responsible for leading and strategising the organisation's digital transformation path. They ensure that the right IT infrastructure is acquired and deployed on-site, IT procurement is done, and digital reform is stable.
In order to drive business growth, they create products by combining unconventional thinking with customer empathy and unconventional techniques. They integrate new technology with best practices in fintech products
They are employees who specialise in marketing a company's specific products or services. They specialise in product-related branding activities. It's their duty to ensure branding is consistent so that the product can be easily identified.
Blockchain project managers oversee all decentralised ledger projects and serve as a liaison between developers and clients. They ensure that developers understand the project's goal and that customers' expectations are met.
RPA Manager is in charge of leading the company's Robotic Process Automation efforts. The RPA Manager will define, implement, and manage RPA delivery strategies, collaborating with business units to develop and understand their business processes and deliver automated business solutions.
Compliance Officers are in chargeof ensuring that all corporate processes and procedures abide by the laws. He ensures that company operations comply with internal standards, in addition to the law.
A process automation lead developer's primary responsibilities include designing, developing, and implementing software, or bots, to work alongside humans to improve business process efficiency.
They help businesses gain a better understanding of their target customers. They have extensive knowledge and experience observing the intended customer. They identify problems and use their creativity to improve the product or service.
RPA Manager is in charge of leading the company's Robotic Process Automation efforts. The RPA Manager will define, implement, and manage RPA delivery strategies, collaborating with business units to develop and understand their business processes and deliver automated business solutions.
Compliance Officers are in chargeof ensuring that all corporate processes and procedures abide by the laws. He ensures that company operations comply with internal standards, in addition to the law.
A process automation lead developer's primary responsibilities include designing, developing, and implementing software, or bots, to work alongside humans to improve business process efficiency.
They help businesses gain a better understanding of their target customers. They have extensive knowledge and experience observing the intended customer. They identify problems and use their creativity to improve the product or service.
RPA Manager is in charge of leading the company's Robotic Process Automation efforts. The RPA Manager will define, implement, and manage RPA delivery strategies, collaborating with business units to develop and understand their business processes and deliver automated business solutions.
Compliance Officers are in chargeof ensuring that all corporate processes and procedures abide by the laws. He ensures that company operations comply with internal standards, in addition to the law.
A process automation lead developer's primary responsibilities include designing, developing, and implementing software, or bots, to work alongside humans to improve business process efficiency.
They help businesses gain a better understanding of their target customers. They have extensive knowledge and experience observing the intended customer. They identify problems and use their creativity to improve the product or service.
Digital transformation managers are primarily responsible for leading and strategising the organisation's digital transformation path. They ensure that the right IT infrastructure is acquired and deployed on-site, IT procurement is done, and digital reform is stable.
In order to drive business growth, they create products by combining unconventional thinking with customer empathy and unconventional techniques. They integrate new technology with best practices in fintech products
They are employees who specialise in marketing a company's specific products or services. They specialise in product-related branding activities. It's their duty to ensure branding is consistent so that the product can be easily identified.
Blockchain project managers oversee all decentralised ledger projects and serve as a liaison between developers and clients. They ensure that developers understand the project's goal and that customers' expectations are met.
RPA Manager is in charge of leading the company's Robotic Process Automation efforts. The RPA Manager will define, implement, and manage RPA delivery strategies, collaborating with business units to develop and understand their business processes and deliver automated business solutions.
Compliance Officers are in chargeof ensuring that all corporate processes and procedures abide by the laws. He ensures that company operations comply with internal standards, in addition to the law.
A process automation lead developer's primary responsibilities include designing, developing, and implementing software, or bots, to work alongside humans to improve business process efficiency.
They help businesses gain a better understanding of their target customers. They have extensive knowledge and experience observing the intended customer. They identify problems and use their creativity to improve the product or service.
Digital transformation managers are primarily responsible for leading and strategising the organisation's digital transformation path. They ensure that the right IT infrastructure is acquired and deployed on-site, IT procurement is done, and digital reform is stable.
In order to drive business growth, they create products by combining unconventional thinking with customer empathy and unconventional techniques. They integrate new technology with best practices in fintech products
They are employees who specialise in marketing a company's specific products or services. They specialise in product-related branding activities. It's their duty to ensure branding is consistent so that the product can be easily identified.
Blockchain project managers oversee all decentralised ledger projects and serve as a liaison between developers and clients. They ensure that developers understand the project's goal and that customers' expectations are met.
RPA Manager is in charge of leading the company's Robotic Process Automation efforts. The RPA Manager will define, implement, and manage RPA delivery strategies, collaborating with business units to develop and understand their business processes and deliver automated business solutions.
Compliance Officers are in chargeof ensuring that all corporate processes and procedures abide by the laws. He ensures that company operations comply with internal standards, in addition to the law.
A process automation lead developer's primary responsibilities include designing, developing, and implementing software, or bots, to work alongside humans to improve business process efficiency.
They help businesses gain a better understanding of their target customers. They have extensive knowledge and experience observing the intended customer. They identify problems and use their creativity to improve the product or service.
Digital transformation managers are primarily responsible for leading and strategising the organisation's digital transformation path. They ensure that the right IT infrastructure is acquired and deployed on-site, IT procurement is done, and digital reform is stable.
In order to drive business growth, they create products by combining unconventional thinking with customer empathy and unconventional techniques. They integrate new technology with best practices in fintech products
They are employees who specialise in marketing a company's specific products or services. They specialise in product-related branding activities. It's their duty to ensure branding is consistent so that the product can be easily identified.
Blockchain project managers oversee all decentralised ledger projects and serve as a liaison between developers and clients. They ensure that developers understand the project's goal and that customers' expectations are met.
RPA Manager is in charge of leading the company's Robotic Process Automation efforts. The RPA Manager will define, implement, and manage RPA delivery strategies, collaborating with business units to develop and understand their business processes and deliver automated business solutions.
Compliance Officers are in chargeof ensuring that all corporate processes and procedures abide by the laws. He ensures that company operations comply with internal standards, in addition to the law.
A process automation lead developer's primary responsibilities include designing, developing, and implementing software, or bots, to work alongside humans to improve business process efficiency.
They help businesses gain a better understanding of their target customers. They have extensive knowledge and experience observing the intended customer. They identify problems and use their creativity to improve the product or service.
Digital transformation managers are primarily responsible for leading and strategising the organisation's digital transformation path. They ensure that the right IT infrastructure is acquired and deployed on-site, IT procurement is done, and digital reform is stable.
In order to drive business growth, they create products by combining unconventional thinking with customer empathy and unconventional techniques. They integrate new technology with best practices in fintech products
They are employees who specialise in marketing a company's specific products or services. They specialise in product-related branding activities. It's their duty to ensure branding is consistent so that the product can be easily identified.
Blockchain project managers oversee all decentralised ledger projects and serve as a liaison between developers and clients. They ensure that developers understand the project's goal and that customers' expectations are met.
RPA Manager is in charge of leading the company's Robotic Process Automation efforts. The RPA Manager will define, implement, and manage RPA delivery strategies, collaborating with business units to develop and understand their business processes and deliver automated business solutions.
Compliance Officers are in chargeof ensuring that all corporate processes and procedures abide by the laws. He ensures that company operations comply with internal standards, in addition to the law.
A process automation lead developer's primary responsibilities include designing, developing, and implementing software, or bots, to work alongside humans to improve business process efficiency.
They help businesses gain a better understanding of their target customers. They have extensive knowledge and experience observing the intended customer. They identify problems and use their creativity to improve the product or service.
Digital transformation managers are primarily responsible for leading and strategising the organisation's digital transformation path. They ensure that the right IT infrastructure is acquired and deployed on-site, IT procurement is done, and digital reform is stable.
In order to drive business growth, they create products by combining unconventional thinking with customer empathy and unconventional techniques. They integrate new technology with best practices in fintech products
They are employees who specialise in marketing a company's specific products or services. They specialise in product-related branding activities. It's their duty to ensure branding is consistent so that the product can be easily identified.
Blockchain project managers oversee all decentralised ledger projects and serve as a liaison between developers and clients. They ensure that developers understand the project's goal and that customers' expectations are met.
RPA Manager is in charge of leading the company's Robotic Process Automation efforts. The RPA Manager will define, implement, and manage RPA delivery strategies, collaborating with business units to develop and understand their business processes and deliver automated business solutions.
Compliance Officers are in chargeof ensuring that all corporate processes and procedures abide by the laws. He ensures that company operations comply with internal standards, in addition to the law.
A process automation lead developer's primary responsibilities include designing, developing, and implementing software, or bots, to work alongside humans to improve business process efficiency.
They help businesses gain a better understanding of their target customers. They have extensive knowledge and experience observing the intended customer. They identify problems and use their creativity to improve the product or service.
Digital transformation managers are primarily responsible for leading and strategising the organisation's digital transformation path. They ensure that the right IT infrastructure is acquired and deployed on-site, IT procurement is done, and digital reform is stable.
In order to drive business growth, they create products by combining unconventional thinking with customer empathy and unconventional techniques. They integrate new technology with best practices in fintech products
They are employees who specialise in marketing a company's specific products or services. They specialise in product-related branding activities. It's their duty to ensure branding is consistent so that the product can be easily identified.
Blockchain project managers oversee all decentralised ledger projects and serve as a liaison between developers and clients. They ensure that developers understand the project's goal and that customers' expectations are met.
RPA Manager is in charge of leading the company's Robotic Process Automation efforts. The RPA Manager will define, implement, and manage RPA delivery strategies, collaborating with business units to develop and understand their business processes and deliver automated business solutions.
Compliance Officers are in chargeof ensuring that all corporate processes and procedures abide by the laws. He ensures that company operations comply with internal standards, in addition to the law.
A process automation lead developer's primary responsibilities include designing, developing, and implementing software, or bots, to work alongside humans to improve business process efficiency.
They help businesses gain a better understanding of their target customers. They have extensive knowledge and experience observing the intended customer. They identify problems and use their creativity to improve the product or service.
How much does a PGDM Artificial Intelligence & Data Science professional make?
Average annual salary in Fintech is INR 9 lakhs.
Data scientists are analytical professionals that use their knowledge of social science and technology to identify patterns and manage data. A data scientist is a specialist responsible for gathering, analysing and interpreting vast amounts of data.
Business analysts analyse historical and recent business data with the main objective of enhancing organisational decision-making processes. These adaptable employees operate in both the business and IT sectors to close the gap and boost productivity.
A data analyst is responsible for collecting, organising, and running statistical analyses on a sizable database. They learn how to use data to address issues and find solutions.
Successful data science consultants must possess a wide range of skills, including domain knowledge, business acumen, analytical thinking, problem-solving, teamwork, and communication skills. A data science consultant's primary responsibility is to design data-based challenges and determine how to use machine learning to address them.
The Machine Learning Architect is responsible for designing and developing machine learning solutions that solve complex business problems. Machine learning architects use real-time data analysis to automate processes and boost productivity across all business domains, laying the groundwork for useful AI that transitions from reactive to predictive.
Social media analysts mine vast amounts of social data for insights that can both show ROI and drive strategy. Continually evaluating a brand's owned data, campaign and content performance, and social listening data, a social media analyst turns this information into effective business advice.
Customer relationship management analysts use CRM software to analyse customer data and offer suggestions for sales, marketing, and customer support efforts. They can work for businesses or consultancies.
The research data analyst collects and analyses data from various databases and sources, performs statistical and/or mathematical programming, creates reports and visual representations, develops and/or maintains databases, and offers consultation, technical assistance, and coordination to a variety of clinical/biomedical investigators or other research faculty.
Some responsibilities of a predictive analytics expert are to define competitive product characteristics, positioning, packaging and pricing across multiple solutions and to manage predictive analytics analysts as people managers.
The Data Visualisation Specialist is in charge of creating and editing visual content including maps, charts, and graphs. He is alsoresponsible for transforming data sets, and quantitative and qualitative analysis into compelling visuals.
A predictive modeller draws order and context from the chaos of large datasets. In a business setting, data can be used to gather intelligence on products, customers and competitors.
Data scientists are analytical professionals that use their knowledge of social science and technology to identify patterns and manage data. A data scientist is a specialist responsible for gathering, analysing and interpreting vast amounts of data.
Business analysts analyse historical and recent business data with the main objective of enhancing organisational decision-making processes. These adaptable employees operate in both the business and IT sectors to close the gap and boost productivity.
A data analyst is responsible for collecting, organising, and running statistical analyses on a sizable database. They learn how to use data to address issues and find solutions.
Successful data science consultants must possess a wide range of skills, including domain knowledge, business acumen, analytical thinking, problem-solving, teamwork, and communication skills. A data science consultant's primary responsibility is to design data-based challenges and determine how to use machine learning to address them.
The Machine Learning Architect is responsible for designing and developing machine learning solutions that solve complex business problems. Machine learning architects use real-time data analysis to automate processes and boost productivity across all business domains, laying the groundwork for useful AI that transitions from reactive to predictive.
Social media analysts mine vast amounts of social data for insights that can both show ROI and drive strategy. Continually evaluating a brand's owned data, campaign and content performance, and social listening data, a social media analyst turns this information into effective business advice.
Customer relationship management analysts use CRM software to analyse customer data and offer suggestions for sales, marketing, and customer support efforts. They can work for businesses or consultancies.
The research data analyst collects and analyses data from various databases and sources, performs statistical and/or mathematical programming, creates reports and visual representations, develops and/or maintains databases, and offers consultation, technical assistance, and coordination to a variety of clinical/biomedical investigators or other research faculty.
Some responsibilities of a predictive analytics expert are to define competitive product characteristics, positioning, packaging and pricing across multiple solutions and to manage predictive analytics analysts as people managers.
The Data Visualisation Specialist is in charge of creating and editing visual content including maps, charts, and graphs. He is alsoresponsible for transforming data sets, and quantitative and qualitative analysis into compelling visuals.
A predictive modeller draws order and context from the chaos of large datasets. In a business setting, data can be used to gather intelligence on products, customers and competitors.
Data scientists are analytical professionals that use their knowledge of social science and technology to identify patterns and manage data. A data scientist is a specialist responsible for gathering, analysing and interpreting vast amounts of data.
Business analysts analyse historical and recent business data with the main objective of enhancing organisational decision-making processes. These adaptable employees operate in both the business and IT sectors to close the gap and boost productivity.
A data analyst is responsible for collecting, organising, and running statistical analyses on a sizable database. They learn how to use data to address issues and find solutions.
Successful data science consultants must possess a wide range of skills, including domain knowledge, business acumen, analytical thinking, problem-solving, teamwork, and communication skills. A data science consultant's primary responsibility is to design data-based challenges and determine how to use machine learning to address them.
The Machine Learning Architect is responsible for designing and developing machine learning solutions that solve complex business problems. Machine learning architects use real-time data analysis to automate processes and boost productivity across all business domains, laying the groundwork for useful AI that transitions from reactive to predictive.
Social media analysts mine vast amounts of social data for insights that can both show ROI and drive strategy. Continually evaluating a brand's owned data, campaign and content performance, and social listening data, a social media analyst turns this information into effective business advice.
Customer relationship management analysts use CRM software to analyse customer data and offer suggestions for sales, marketing, and customer support efforts. They can work for businesses or consultancies.
The research data analyst collects and analyses data from various databases and sources, performs statistical and/or mathematical programming, creates reports and visual representations, develops and/or maintains databases, and offers consultation, technical assistance, and coordination to a variety of clinical/biomedical investigators or other research faculty.
Some responsibilities of a predictive analytics expert are to define competitive product characteristics, positioning, packaging and pricing across multiple solutions and to manage predictive analytics analysts as people managers.
The Data Visualisation Specialist is in charge of creating and editing visual content including maps, charts, and graphs. He is alsoresponsible for transforming data sets, and quantitative and qualitative analysis into compelling visuals.
A predictive modeller draws order and context from the chaos of large datasets. In a business setting, data can be used to gather intelligence on products, customers and competitors.
A predictive modeller draws order and context from the chaos of large datasets. In a business setting, data can be used to gather intelligence on products, customers and competitors.
The Data Visualisation Specialist is in charge of creating and editing visual content including maps, charts, and graphs. He is alsoresponsible for transforming data sets, and quantitative and qualitative analysis into compelling visuals.
Some responsibilities of a predictive analytics expert are to define competitive product characteristics, positioning, packaging and pricing across multiple solutions and to manage predictive analytics analysts as people managers.
The research data analyst collects and analyses data from various databases and sources, performs statistical and/or mathematical programming, creates reports and visual representations, develops and/or maintains databases, and offers consultation, technical assistance, and coordination to a variety of clinical/biomedical investigators or other research faculty.
Customer relationship management analysts use CRM software to analyse customer data and offer suggestions for sales, marketing, and customer support efforts. They can work for businesses or consultancies.
Social media analysts mine vast amounts of social data for insights that can both show ROI and drive strategy. Continually evaluating a brand's owned data, campaign and content performance, and social listening data, a social media analyst turns this information into effective business advice.
The Machine Learning Architect is responsible for designing and developing machine learning solutions that solve complex business problems. Machine learning architects use real-time data analysis to automate processes and boost productivity across all business domains, laying the groundwork for useful AI that transitions from reactive to predictive.
Successful data science consultants must possess a wide range of skills, including domain knowledge, business acumen, analytical thinking, problem-solving, teamwork, and communication skills. A data science consultant's primary responsibility is to design data-based challenges and determine how to use machine learning to address them.
A data analyst is responsible for collecting, organising, and running statistical analyses on a sizable database. They learn how to use data to address issues and find solutions.
Business analysts analyse historical and recent business data with the main objective of enhancing organisational decision-making processes. These adaptable employees operate in both the business and IT sectors to close the gap and boost productivity.
Data scientists are analytical professionals that use their knowledge of social science and technology to identify patterns and manage data. A data scientist is a specialist responsible for gathering, analysing and interpreting vast amounts of data.
A predictive modeller draws order and context from the chaos of large datasets. In a business setting, data can be used to gather intelligence on products, customers and competitors.
The Data Visualisation Specialist is in charge of creating and editing visual content including maps, charts, and graphs. He is alsoresponsible for transforming data sets, and quantitative and qualitative analysis into compelling visuals.
Some responsibilities of a predictive analytics expert are to define competitive product characteristics, positioning, packaging and pricing across multiple solutions and to manage predictive analytics analysts as people managers.
The research data analyst collects and analyses data from various databases and sources, performs statistical and/or mathematical programming, creates reports and visual representations, develops and/or maintains databases, and offers consultation, technical assistance, and coordination to a variety of clinical/biomedical investigators or other research faculty.
Customer relationship management analysts use CRM software to analyse customer data and offer suggestions for sales, marketing, and customer support efforts. They can work for businesses or consultancies.
Social media analysts mine vast amounts of social data for insights that can both show ROI and drive strategy. Continually evaluating a brand's owned data, campaign and content performance, and social listening data, a social media analyst turns this information into effective business advice.
The Machine Learning Architect is responsible for designing and developing machine learning solutions that solve complex business problems. Machine learning architects use real-time data analysis to automate processes and boost productivity across all business domains, laying the groundwork for useful AI that transitions from reactive to predictive.
Successful data science consultants must possess a wide range of skills, including domain knowledge, business acumen, analytical thinking, problem-solving, teamwork, and communication skills. A data science consultant's primary responsibility is to design data-based challenges and determine how to use machine learning to address them.
A data analyst is responsible for collecting, organising, and running statistical analyses on a sizable database. They learn how to use data to address issues and find solutions.
Business analysts analyse historical and recent business data with the main objective of enhancing organisational decision-making processes. These adaptable employees operate in both the business and IT sectors to close the gap and boost productivity.
Data scientists are analytical professionals that use their knowledge of social science and technology to identify patterns and manage data. A data scientist is a specialist responsible for gathering, analysing and interpreting vast amounts of data.
A predictive modeller draws order and context from the chaos of large datasets. In a business setting, data can be used to gather intelligence on products, customers and competitors.
The Data Visualisation Specialist is in charge of creating and editing visual content including maps, charts, and graphs. He is alsoresponsible for transforming data sets, and quantitative and qualitative analysis into compelling visuals.
Some responsibilities of a predictive analytics expert are to define competitive product characteristics, positioning, packaging and pricing across multiple solutions and to manage predictive analytics analysts as people managers.
The research data analyst collects and analyses data from various databases and sources, performs statistical and/or mathematical programming, creates reports and visual representations, develops and/or maintains databases, and offers consultation, technical assistance, and coordination to a variety of clinical/biomedical investigators or other research faculty.
Customer relationship management analysts use CRM software to analyse customer data and offer suggestions for sales, marketing, and customer support efforts. They can work for businesses or consultancies.
Social media analysts mine vast amounts of social data for insights that can both show ROI and drive strategy. Continually evaluating a brand's owned data, campaign and content performance, and social listening data, a social media analyst turns this information into effective business advice.
The Machine Learning Architect is responsible for designing and developing machine learning solutions that solve complex business problems. Machine learning architects use real-time data analysis to automate processes and boost productivity across all business domains, laying the groundwork for useful AI that transitions from reactive to predictive.
Successful data science consultants must possess a wide range of skills, including domain knowledge, business acumen, analytical thinking, problem-solving, teamwork, and communication skills. A data science consultant's primary responsibility is to design data-based challenges and determine how to use machine learning to address them.
A data analyst is responsible for collecting, organising, and running statistical analyses on a sizable database. They learn how to use data to address issues and find solutions.
Business analysts analyse historical and recent business data with the main objective of enhancing organisational decision-making processes. These adaptable employees operate in both the business and IT sectors to close the gap and boost productivity.
Data scientists are analytical professionals that use their knowledge of social science and technology to identify patterns and manage data. A data scientist is a specialist responsible for gathering, analysing and interpreting vast amounts of data.
A predictive modeller draws order and context from the chaos of large datasets. In a business setting, data can be used to gather intelligence on products, customers and competitors.
The Data Visualisation Specialist is in charge of creating and editing visual content including maps, charts, and graphs. He is alsoresponsible for transforming data sets, and quantitative and qualitative analysis into compelling visuals.
Some responsibilities of a predictive analytics expert are to define competitive product characteristics, positioning, packaging and pricing across multiple solutions and to manage predictive analytics analysts as people managers.
The research data analyst collects and analyses data from various databases and sources, performs statistical and/or mathematical programming, creates reports and visual representations, develops and/or maintains databases, and offers consultation, technical assistance, and coordination to a variety of clinical/biomedical investigators or other research faculty.
Customer relationship management analysts use CRM software to analyse customer data and offer suggestions for sales, marketing, and customer support efforts. They can work for businesses or consultancies.
Social media analysts mine vast amounts of social data for insights that can both show ROI and drive strategy. Continually evaluating a brand's owned data, campaign and content performance, and social listening data, a social media analyst turns this information into effective business advice.
The Machine Learning Architect is responsible for designing and developing machine learning solutions that solve complex business problems. Machine learning architects use real-time data analysis to automate processes and boost productivity across all business domains, laying the groundwork for useful AI that transitions from reactive to predictive.
Successful data science consultants must possess a wide range of skills, including domain knowledge, business acumen, analytical thinking, problem-solving, teamwork, and communication skills. A data science consultant's primary responsibility is to design data-based challenges and determine how to use machine learning to address them.
A data analyst is responsible for collecting, organising, and running statistical analyses on a sizable database. They learn how to use data to address issues and find solutions.
Business analysts analyse historical and recent business data with the main objective of enhancing organisational decision-making processes. These adaptable employees operate in both the business and IT sectors to close the gap and boost productivity.
Data scientists are analytical professionals that use their knowledge of social science and technology to identify patterns and manage data. A data scientist is a specialist responsible for gathering, analysing and interpreting vast amounts of data.
A predictive modeller draws order and context from the chaos of large datasets. In a business setting, data can be used to gather intelligence on products, customers and competitors.
The Data Visualisation Specialist is in charge of creating and editing visual content including maps, charts, and graphs. He is alsoresponsible for transforming data sets, and quantitative and qualitative analysis into compelling visuals.
Some responsibilities of a predictive analytics expert are to define competitive product characteristics, positioning, packaging and pricing across multiple solutions and to manage predictive analytics analysts as people managers.
The research data analyst collects and analyses data from various databases and sources, performs statistical and/or mathematical programming, creates reports and visual representations, develops and/or maintains databases, and offers consultation, technical assistance, and coordination to a variety of clinical/biomedical investigators or other research faculty.
Customer relationship management analysts use CRM software to analyse customer data and offer suggestions for sales, marketing, and customer support efforts. They can work for businesses or consultancies.
Social media analysts mine vast amounts of social data for insights that can both show ROI and drive strategy. Continually evaluating a brand's owned data, campaign and content performance, and social listening data, a social media analyst turns this information into effective business advice.
The Machine Learning Architect is responsible for designing and developing machine learning solutions that solve complex business problems. Machine learning architects use real-time data analysis to automate processes and boost productivity across all business domains, laying the groundwork for useful AI that transitions from reactive to predictive.
Successful data science consultants must possess a wide range of skills, including domain knowledge, business acumen, analytical thinking, problem-solving, teamwork, and communication skills. A data science consultant's primary responsibility is to design data-based challenges and determine how to use machine learning to address them.
A data analyst is responsible for collecting, organising, and running statistical analyses on a sizable database. They learn how to use data to address issues and find solutions.
Business analysts analyse historical and recent business data with the main objective of enhancing organisational decision-making processes. These adaptable employees operate in both the business and IT sectors to close the gap and boost productivity.
Data scientists are analytical professionals that use their knowledge of social science and technology to identify patterns and manage data. A data scientist is a specialist responsible for gathering, analysing and interpreting vast amounts of data.
A predictive modeller draws order and context from the chaos of large datasets. In a business setting, data can be used to gather intelligence on products, customers and competitors.
The Data Visualisation Specialist is in charge of creating and editing visual content including maps, charts, and graphs. He is alsoresponsible for transforming data sets, and quantitative and qualitative analysis into compelling visuals.
Some responsibilities of a predictive analytics expert are to define competitive product characteristics, positioning, packaging and pricing across multiple solutions and to manage predictive analytics analysts as people managers.
The research data analyst collects and analyses data from various databases and sources, performs statistical and/or mathematical programming, creates reports and visual representations, develops and/or maintains databases, and offers consultation, technical assistance, and coordination to a variety of clinical/biomedical investigators or other research faculty.
Customer relationship management analysts use CRM software to analyse customer data and offer suggestions for sales, marketing, and customer support efforts. They can work for businesses or consultancies.
Social media analysts mine vast amounts of social data for insights that can both show ROI and drive strategy. Continually evaluating a brand's owned data, campaign and content performance, and social listening data, a social media analyst turns this information into effective business advice.
The Machine Learning Architect is responsible for designing and developing machine learning solutions that solve complex business problems. Machine learning architects use real-time data analysis to automate processes and boost productivity across all business domains, laying the groundwork for useful AI that transitions from reactive to predictive.
Successful data science consultants must possess a wide range of skills, including domain knowledge, business acumen, analytical thinking, problem-solving, teamwork, and communication skills. A data science consultant's primary responsibility is to design data-based challenges and determine how to use machine learning to address them.
A data analyst is responsible for collecting, organising, and running statistical analyses on a sizable database. They learn how to use data to address issues and find solutions.
Business analysts analyse historical and recent business data with the main objective of enhancing organisational decision-making processes. These adaptable employees operate in both the business and IT sectors to close the gap and boost productivity.
Data scientists are analytical professionals that use their knowledge of social science and technology to identify patterns and manage data. A data scientist is a specialist responsible for gathering, analysing and interpreting vast amounts of data.
A predictive modeller draws order and context from the chaos of large datasets. In a business setting, data can be used to gather intelligence on products, customers and competitors.
The Data Visualisation Specialist is in charge of creating and editing visual content including maps, charts, and graphs. He is alsoresponsible for transforming data sets, and quantitative and qualitative analysis into compelling visuals.
Some responsibilities of a predictive analytics expert are to define competitive product characteristics, positioning, packaging and pricing across multiple solutions and to manage predictive analytics analysts as people managers.
The research data analyst collects and analyses data from various databases and sources, performs statistical and/or mathematical programming, creates reports and visual representations, develops and/or maintains databases, and offers consultation, technical assistance, and coordination to a variety of clinical/biomedical investigators or other research faculty.
Customer relationship management analysts use CRM software to analyse customer data and offer suggestions for sales, marketing, and customer support efforts. They can work for businesses or consultancies.
Social media analysts mine vast amounts of social data for insights that can both show ROI and drive strategy. Continually evaluating a brand's owned data, campaign and content performance, and social listening data, a social media analyst turns this information into effective business advice.
The Machine Learning Architect is responsible for designing and developing machine learning solutions that solve complex business problems. Machine learning architects use real-time data analysis to automate processes and boost productivity across all business domains, laying the groundwork for useful AI that transitions from reactive to predictive.
Successful data science consultants must possess a wide range of skills, including domain knowledge, business acumen, analytical thinking, problem-solving, teamwork, and communication skills. A data science consultant's primary responsibility is to design data-based challenges and determine how to use machine learning to address them.
A data analyst is responsible for collecting, organising, and running statistical analyses on a sizable database. They learn how to use data to address issues and find solutions.
Business analysts analyse historical and recent business data with the main objective of enhancing organisational decision-making processes. These adaptable employees operate in both the business and IT sectors to close the gap and boost productivity.
Data scientists are analytical professionals that use their knowledge of social science and technology to identify patterns and manage data. A data scientist is a specialist responsible for gathering, analysing and interpreting vast amounts of data.
A predictive modeller draws order and context from the chaos of large datasets. In a business setting, data can be used to gather intelligence on products, customers and competitors.
The Data Visualisation Specialist is in charge of creating and editing visual content including maps, charts, and graphs. He is alsoresponsible for transforming data sets, and quantitative and qualitative analysis into compelling visuals.
Some responsibilities of a predictive analytics expert are to define competitive product characteristics, positioning, packaging and pricing across multiple solutions and to manage predictive analytics analysts as people managers.
The research data analyst collects and analyses data from various databases and sources, performs statistical and/or mathematical programming, creates reports and visual representations, develops and/or maintains databases, and offers consultation, technical assistance, and coordination to a variety of clinical/biomedical investigators or other research faculty.
Customer relationship management analysts use CRM software to analyse customer data and offer suggestions for sales, marketing, and customer support efforts. They can work for businesses or consultancies.
Social media analysts mine vast amounts of social data for insights that can both show ROI and drive strategy. Continually evaluating a brand's owned data, campaign and content performance, and social listening data, a social media analyst turns this information into effective business advice.
The Machine Learning Architect is responsible for designing and developing machine learning solutions that solve complex business problems. Machine learning architects use real-time data analysis to automate processes and boost productivity across all business domains, laying the groundwork for useful AI that transitions from reactive to predictive.
Successful data science consultants must possess a wide range of skills, including domain knowledge, business acumen, analytical thinking, problem-solving, teamwork, and communication skills. A data science consultant's primary responsibility is to design data-based challenges and determine how to use machine learning to address them.
A data analyst is responsible for collecting, organising, and running statistical analyses on a sizable database. They learn how to use data to address issues and find solutions.
Business analysts analyse historical and recent business data with the main objective of enhancing organisational decision-making processes. These adaptable employees operate in both the business and IT sectors to close the gap and boost productivity.
Data scientists are analytical professionals that use their knowledge of social science and technology to identify patterns and manage data. A data scientist is a specialist responsible for gathering, analysing and interpreting vast amounts of data.
A predictive modeller draws order and context from the chaos of large datasets. In a business setting, data can be used to gather intelligence on products, customers and competitors.
The Data Visualisation Specialist is in charge of creating and editing visual content including maps, charts, and graphs. He is alsoresponsible for transforming data sets, and quantitative and qualitative analysis into compelling visuals.
Some responsibilities of a predictive analytics expert are to define competitive product characteristics, positioning, packaging and pricing across multiple solutions and to manage predictive analytics analysts as people managers.
The research data analyst collects and analyses data from various databases and sources, performs statistical and/or mathematical programming, creates reports and visual representations, develops and/or maintains databases, and offers consultation, technical assistance, and coordination to a variety of clinical/biomedical investigators or other research faculty.
Customer relationship management analysts use CRM software to analyse customer data and offer suggestions for sales, marketing, and customer support efforts. They can work for businesses or consultancies.
Social media analysts mine vast amounts of social data for insights that can both show ROI and drive strategy. Continually evaluating a brand's owned data, campaign and content performance, and social listening data, a social media analyst turns this information into effective business advice.
The Machine Learning Architect is responsible for designing and developing machine learning solutions that solve complex business problems. Machine learning architects use real-time data analysis to automate processes and boost productivity across all business domains, laying the groundwork for useful AI that transitions from reactive to predictive.
Successful data science consultants must possess a wide range of skills, including domain knowledge, business acumen, analytical thinking, problem-solving, teamwork, and communication skills. A data science consultant's primary responsibility is to design data-based challenges and determine how to use machine learning to address them.
A data analyst is responsible for collecting, organising, and running statistical analyses on a sizable database. They learn how to use data to address issues and find solutions.
Business analysts analyse historical and recent business data with the main objective of enhancing organisational decision-making processes. These adaptable employees operate in both the business and IT sectors to close the gap and boost productivity.
Data scientists are analytical professionals that use their knowledge of social science and technology to identify patterns and manage data. A data scientist is a specialist responsible for gathering, analysing and interpreting vast amounts of data.
The Centre for Online Studies (COOLS), a division of BIMTECH, works to advance higher education both inside and outside of India by combining online teaching, learning, and research. To create better future professionals, it imparts the best theoretical knowledge, analytical abilities, and technical capabilities to its learners.
We're delighted to be collaborating with India's leading edtech institution to provide learners with the skills they need to succeed in the real world. You will soon find that the online PGDM curriculum is thoroughly designed to give best-in-class le...See More
A practicing Academician with 35 years of Industry experience in IT Services leading world class organization such as IBM and Tata Group. Last assignment was Asia Pacific Services Delivery head of IBM supervising IT for 17 IBM countries across 5 tim...See More
We're thrilled to be collaborating with a renowned institution like BIMTECH to teach the skill sets that learners will need once they enter the workforce. Cutting-edge technologies are revolutionising the globe, and th...See More
Prof. Dhruva Chak is an MA in Political Science from Lucknow University and a PGDBA from the Indian Institute of Management, Ahmedabad, with a specialization in Marketing and Personnel and over 45 years of experience in Industry, Consultancy and Teaching. He has an excellent track record of nurturing start – ups and successfully launching consumer products and services which have stood the test of time He has held Top Management positions, including heading the Hyderabad – based GATI Ltd. Having headed concurrently both the Marketing & Business Communication Areas...See More
Dr. Sahay’s teaching and research interests are in the area of Strategic Management, M&A, Strategic Alliance & JV, Innovation, Entrepreneurship, Sustainability and CSR. He has been a Turnaround Manager, Corporate Entrepreneur, Researcher, Educator and an Institution Builder. In his earlier assignment as Chairman & Managing Director, SIL, he played the lead role not only in turnaround of the company but in creating new products and processes for national and international markets. He has continue to serve both corporate as well as academic institution boards. He ha...See More
Dr Meena Bhatia has over 22 years of experience which includes both corporate and academic experience. She has taught at post graduate management programmes of BIMTECH, IIFT, Bombay Stock Exchange Institute and many other B Schools in NCR. Besides this she has also taught at University of Bradford, UK. Her research interest and contribution include topics covering value relevance, disclosures and financial reporting. She has presented her research work at internationally acclaimed institutions such as, Harvard University (Boston USA), University of London, IIM (Ah...See More
Currently a Professor in the area of Marketing he is also the Chair of the Fellow Program in Management at BIMTECH. He has also looked after the Examinations and Admissions during his 12 years at the Institute. Teaching Marketing management for the last 32 years in a uniquely enjoyable way is his passion. He also teaches CRM and Services Marketing. More than a dozen research scholars have obtained their PhDs under his guidance. He has worked on several funded research projects and was the Director of the Management Department of a State University earlier. Author ...See More
Dr. Ajoy K. Dey is a Professor of Decision Sciences & Operations Management. Besides Operations and Supply Chain Management, his areas of expertise include Curriculum Development and Student Engagement. As thesis chair or committee member he has helped five scholars to complete doctorate. He is the Editor of the South Asian Journal of Business & Management Cases – an SCOPUS indexed, UGC Care listed SAGE Publication. Dr. Dey is on the EAB of Emerald Emerging Market Case Studies and Journal of Entrepreneurship in Emerging Economies. He is the Guest Editor of two res...See More
A practicing Academician with 35 years of Industry experience in IT Services leading world class organization such as IBM and Tata Group. Last assignment was Asia Pacific Services Delivery head of IBM supervising IT for 17 IBM countries across 5 time zones. Published 12 academic books and taught over 10000 students as Visiting Professor at leading B schools like IIM Lucknow , IIM Indore, SP Jain Global Management School Singapore and Dubai, FMS Delhi University, IMT Ghazaibad, XLRI Jamshedpur ,IMI Delhi amongst others. Managed mega IT Transformation Consulting an...See More
Dr. Manosi Chaudhuri is Professor and Head, Organizational Behaviour and Human Resource Management at Birla Institute of Management Technology, Greater Noida. A dual gold medallist during her Masters in Psychology and D. Phil. as a UGC Senior Research Fellow in the Department of Psychology from University of Allahabad, her research interests include Occupational Stress and Health, Employee Engagement, Management of Organizational Change and Organization Development. Prior to joining BIMTECH, as a Research Officer at G B Pant Social Science Institute, Allahabad, sh...See More
Prof. Dhruva Chak is an MA in Political Science from Lucknow University and a PGDBA from the Indian Institute of Management, Ahmedabad, with a specialization in Marketing and Personnel and over 45 years of experience in Industry, Consultancy and Teaching. He has an excellent track record of nurturing start – ups and successfully launching consumer products and services which have stood the test of time He has held Top Management positions, including heading the Hyderabad – based GATI Ltd. Having headed concurrently both the Marketing & Business Communication Areas...See More
Dr. Sahay’s teaching and research interests are in the area of Strategic Management, M&A, Strategic Alliance & JV, Innovation, Entrepreneurship, Sustainability and CSR. He has been a Turnaround Manager, Corporate Entrepreneur, Researcher, Educator and an Institution Builder. In his earlier assignment as Chairman & Managing Director, SIL, he played the lead role not only in turnaround of the company but in creating new products and processes for national and international markets. He has continue to serve both corporate as well as academic institution boards. He ha...See More
Prof Arunaditya Sahay
Professor of Strategic Management
Dr. Sahay’s teaching and research interests are in the area of Strategic Management, M&A, Strategic Alliance & JV, Innovation, Entrepreneurship, Sustainability and CSR. He has been a Turnaround Manager, Corporate Entrepreneur, Researcher, Educator and an Institution Builder. In his earlier assignmen...See More
Dr Meena Bhatia
Associate Professor of Finance
Dr Meena Bhatia has over 22 years of experience which includes both corporate and academic experience. She has taught at post graduate management programmes of BIMTECH, IIFT, Bombay Stock Exchange Institute and many other B Schools in NCR. Besides this she has also taught at University of Bradford, ...See More
Prof Arvind Shukla
Professor of Marketing.
Currently a Professor in the area of Marketing he is also the Chair of the Fellow Program in Management at BIMTECH. He has also looked after the Examinations and Admissions during his 12 years at the Institute. Teaching Marketing management for the last 32 years in a uniquely enjoyable way is his pa...See More
Dr. Ajoy K. Dey
Professor of Operations & Decision Science
Dr. Ajoy K. Dey is a Professor of Decision Sciences & Operations Management. Besides Operations and Supply Chain Management, his areas of expertise include Curriculum Development and Student Engagement. As thesis chair or committee member he has helped five scholars to complete doctorate. He is the ...See More
Sanjiva Shankar Dubey
Professor of Operations, Decision Science & IT
A practicing Academician with 35 years of Industry experience in IT Services leading world class organization such as IBM and Tata Group. Last assignment was Asia Pacific Services Delivery head of IBM supervising IT for 17 IBM countries across 5 time zones. Published 12 academic books and taught ov...See More
Dr. Manosi Chaudhuri
Organizational Behaviour & Human Resources
Dr. Manosi Chaudhuri is Professor and Head, Organizational Behaviour and Human Resource Management at Birla Institute of Management Technology, Greater Noida. A dual gold medallist during her Masters in Psychology and D. Phil. as a UGC Senior Research Fellow in the Department of Psychology from Univ...See More
Prof Dhruva Chak
Professor of Marketing
Prof. Dhruva Chak is an MA in Political Science from Lucknow University and a PGDBA from the Indian Institute of Management, Ahmedabad, with a specialization in Marketing and Personnel and over 45 years of experience in Industry, Consultancy and Teaching. He has an excellent track record of nurturin...See More
Program Fee
₹ 2,75,000
(Inclusive of all taxes)
Full Fees
EMI Options
Registration Fees
₹ 15,000
Base Fee
₹ 260,000
Bachelor’s Degree with 50% marks in any discipline under 10+2+3 pattern
As part of the admissions process, applicants are expected to attempt a quick 60 min entrance test which covers Verbal Reasoning, Quantitative Aptitude, Logical Reasoning and Data Interpretation.
Yes, as per UGC circular dated 2nd September 2022, an online degree is equivalent to an offline degree and has the same weightage. Click here to know more.
BIMTECH is granted category 1 graded autonomy by AICTE. It is also accredited by NAAC and NBA and is a member of AACSB.
This program will enable learners to gain exposure to managerial function in different sectors and domains. Learning from one of the best faculty in the world, learners will gain exposure to leading problems in a business context and the necessary tools & frameworks to solve them.
The industry of data science had previously (2020) faced a large shortage of skilled professionals which has increased in large numbers this year (2021). Industries of energy, pharmacology, healthcare, media, retail, e-commerce, etc. are creating a large number of job opportunities in the field with average potential salaries going from 10 lakhs to even 14 lakhs per year.
Fintech has emerged as one of the next big shifts in this rapidly evolving industry of today. With an estimated size of $150 billion by 2025 at a CAGR of ~25%, Fintech is expected to be the next big employer with roles ranging from blockchain strategist, design thinking specialist, or project manager to C-Suite executives such as Chief Information and Security Officer, Chief Product Officer or CEO.
With 10+ years in the education space, Imarticus has been a pioneer in enabling career transition and equipping the industry highly-skilling workforce. Imarticus has been at the forefront of training the workforce needed by the Industry by enabling more than 50,000+ career transitions. The teaching methodology adopted by Imarticus Learning includes immersive live lectures, hybrid learning modules, industry-focused seminars, capstone projects, guest lectures, and soft skills training among other unique methods to prepare students for the Industry of tomorrow.
This PGDM (Online) program is a 2-year program with live-interactive sessions with faculty on weekends.
There is no difference between an online and a traditional degree when you pursue an MBA/PGDM course from Imarticus. Our management programs are created with top business schools to offer learners the best MBA/PGDM education.
Both the online PGDM and the MBA are postgraduate programs with equal legal standing in terms of applying for government employment or enrolling in PhD programs. To read more about their equivalence please read this notice.
While traditional MBAs will require a CAT score, it is not needed while applying for the online PGDM program from BIMTECH.
PGDMs offer a more in-depth and practical approach to management learning as compared to an MBA. Employers in India often prefer professionals with a PGDM over an MBA as they have a better understanding of industry trends and are highly-skilled.
No, you cannot pursue two different degree programs at the same time.
Yes, we do. Please contact our counselors for more information.
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