BBA (Gen AI) Powered by KPMG - Bennett University
Source: https://www.bennett.edu.in/programs/bba-gen-ai-kpmg
Archived: 2026-04-23 17:27
BBA (Gen AI) Powered by KPMG - Bennett University
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BBA (Gen AI) Powered by KPMG
About
BBA (Gen AI) Powered by KPMG
The BBA (Gen AI) for Business program at Bennett University is a future-ready, industry-integrated undergraduate degree designed to bridge the gap between business education and emerging AI-driven enterprise needs. Co-designed and co-delivered with KPMG, one of the world’s leading Big Four professional services firms, the program equips students with practical Generative AI capabilities, strategic thinking, and business decision-making skills demanded by today’s digital economy.
Duration
3 Years
Credits
125
Start Date
July 2026
Curriculum Highlights
The program is structured to introduce students to foundational and advanced concepts of Generative AI, while embedding AI applications across core business functions such as strategy, analytics, decision-making, and innovation
Courses Delivered by KPMG
Foundations of Generative AI
Prompt Engineering for Business
Advanced Prompt Engineering & Introduction to RAG
Data Analysis & Visualization using AI
Strategic Applications of Generative AI in Business
Evaluating Business Impact of Generative AI
Minors:
Students may opt for cross-disciplinary minors as per the university norms, enabling them to complement Generative AI with areas such as:
Marketing
Finance
Entrepreneurship
Operations
HR
Honours:
High-performing students may opt for an Honours pathway, which typically requires:
completion of additional advanced coursework beyond the standard credit requirement
in depth, research orientation, and applied learning
advanced electives, applied projects, or research-based components
Open Electives:
Students can choose open electives across schools, allowing them to:
build interdisciplinary capabilities
explore liberal arts, technology, or management subjects
strengthen communication, ethics, and leadership skills
Projects:
Students undertake industry-focused capstone projects designed by KPMG, which:
simulate real client engagements using anonymised datasets
work on real-world business problem statements sourced from KPMG’s project repository
outcome-based and competency-based evaluation
focus on critical thinking, data interpretation, collaboration and communication
Internships:
A mandatory 6–8 weeks summer internship is part of the BBA Generative AI Program at Bennett University. It enables students to apply classroom learning to real-world business challenges.
For detailed curriculum, click here
Why BBA (Gen AI) Powered by KPMG from Bennett University
Industry-integrated curriculum co-created with KPMG professionals
Learning directly from KPMG practitioners through real business use cases
Strong focus on applied Gen AI, prompt engineering, and business impact
Experiential learning through case studies, simulations, and capstone projects
Certificate of completion from KPMG upon successful completion of KPMG-delivered modules
Strong alignment with NEP 2020 recommendations on industry–academia collaboration
Eligibility Criteria
Passed class XII standard from any recognised education board with minimum of 60% marks (Best of 3 subjects) and English as compulsory subject;
OR
IB Board with minimum score of 24 credits, 3 Higher level and 3 standard level subjects.
BBA (Gen AI) Powered by KPMG Program Fee
Get complete details of the BBA (Gen AI) Powered by KPMG program fee, including tuition, hostel, and other applicable charges.
Click here for details.
Program Objectives
To provide students with a strong foundation in business administration integrated with Generative Artificial Intelligence concepts for informed managerial decision-making.
To develop conceptual understanding and practical awareness of Generative AI tools, models, and applications relevant to business and organisational contexts.
To enhance analytical thinking, problem-solving, and innovation skills through experiential learning, case studies, and industry-supported projects.
To familiarise students with ethical, legal, and governance aspects of Generative AI, ensuring responsible and sustainable adoption in business practices.
To prepare graduates for employment, entrepreneurship, and higher education by fostering professional competence, adaptability, and lifelong learning orientation in AI-enabled business environments.
Learning Outcomes
After completing the BBA Generative AI program, graduates will be able to:
understand foundational and advanced concepts of Generative AI and its business relevance
apply prompt engineering techniques for real-world business problem solving
use AI tools for data analysis, visualization, and insights generation
evaluate business impact, risks, and ethical considerations of AI adoption
design AI-enabled business strategies across functions and industries
demonstrate industry readiness through case-based learning and simulations
In addition, the students will develop the following skills:
Generative AI literacy for business users
Prompt engineering & AI workflow design
Data-driven decision-making
Business analytics & visualization
Strategic thinking & consulting mindset
Ethical AI awareness and governance basics
Communication, presentation, and client-facing skills
Career Pathways
AI-Enabled Business Roles
AI Business Analyst | Gen AI Executive | Business Intelligence Associate
Management & Consulting
Management Trainee | Consulting Associate | Digital Transformation Analyst
Marketing & Customer Intelligence
Marketing Analytics Executive | Customer Insights Analyst | AI-Powered CRM Executive
Finance, Risk & Compliance
Finance Analytics Executive | AI Risk & Governance Associate | Compliance & Audit Support
Operations & Process Automation
Operations Analyst | Process Automation Executive | AI Operations Associate
Entrepreneurship & Innovation
AI-Driven Entrepreneur | Start-up Analyst | Innovation & Product Associate
Higher Education & Professional Growth
MBA / PGDM (Analytics, AI, Digital Strategy)
M.Sc. / Master’s in AI, Business Analytics, or Data Science
Professional Certifications in Generative AI, AI Governance, and Digital Consulting
Faculty
Prof. (Dr.) Niraj Mankad
Dean, School of Management
Dr. Sangeeta Shukla
Ph.D. – SGBAU, Amravati
Dr. Nidhi Sinha
Ph.D. – JIIT, Noida
Dr. Pradeep Kumar Mohanty
Ph.D. - Anna University, Chennai
Dr. Sumit Mishra
Ph.D. - IIT Roorkee
Dr. Shruti Ashok
Ph.D. - FMS, Delhi University
Dr. Nishant Singh
Ph.D. - IIT Roorkee
Dr. Mitra Amini
Ph.D. - Aligarh Muslim University
Dr. Pratibha Biswas
Ph.D. - Jamia Millia Islamia
Dr Swati Agrawal
Ph.D. - University of Allahabad
Dr Shiv Shankar Kumar Yadav
Ph.D.- JIIT Noida
Dr. Krishnendu Ghosh
Ph.D. - University of Calcutta
Dr. Shayani Sengupta
XLRI-Xavier School of Management, Jamshedpur
Dr. Rajat Kumar Soni
Ph.D. MNNIT Allahabad
Indu Sharma
Ph.D. (thesis submitted) - NIT, Hamirpur
Dr. Nivedita Srivastava
Ph.D. - MNNIT Allahabad
Mr Ayanjit Sen
Masters in Journalism Studies, Cardiff University, UK, 2000
Dr. Pallavi Kiran
Ph.D. - IIT (ISM) Dhanbad
Dr Puja Kaura
Ph.D. - University of Kota
Dr. Ankita Das
Ph.D. - IIT (ISM), Dhanbad
Ms. Priya Harchandani
Ph.D.(Pursuing) , Institute of Management, Nirma University
Dr. Monika Sharma
Ph.D. - IIT, Delhi
Dr. Sobhit Mathew Jose
Ph.D. - IIT, Roorkee
Dr. Saurabh Kumar Srivastava
Ph.D. - IIT(ISM) Dhanbad
Dr. Nimisha Singh
FPM, Birla Institute of Management Technology
Dr. Laxmi Gupta
Ph.D. - IIT, Delhi
Dr. Neha Zaidi
Ph.D. - Aligarh Muslim University
Dr. Ahammed Junaid
FPM - MICA, Ahmedabad
Dr. Ratan Kumar
FPM - Management Development Institute, Gurgaon
Ms. Anu Mohta
Ph.d.(Thesis Submitted) - BHU
Dr. Vijay Prakash Mishra
Ph.D. - Gokhale Institute of Politics and Economics, Pune
Mr. Krishan
Ph.D. (Pursuing) - JNU, Delhi
Mr. Abhishek Saran
Ph.D.(Pursuing) - IIM, Sambalpur
Ms. Priya Mandleshwar
Ph.D. (Pursuing) - IIM, Indore
Ms. Rimleena Boro
Ph.D. (Pursuing) - IIM, Indore
OUR ASK
BBA (Gen AI)
Frequently Asked Questions
What is the BBA (Generative AI) program at Bennett University?
The BBA (Generative AI) program at Bennett University is an undergraduate degree that integrates business administration with Generative Artificial Intelligence concepts to prepare students for AI-enabled business roles.
Do students need a technical or coding background to join the BBA (Generative AI) program?
No prior coding background is required. The program is designed for management students and focuses on business applications of Generative AI, with foundational exposure to relevant tools.
What kind of skills will students gain from the BBA (Generative AI) program?
Students will develop skills in AI-enabled decision-making, business and data analysis, problem-solving, innovation, ethical AI practices, and effective communication.
How does the program ensure industry relevance?
The curriculum incorporates industry inputs, case studies, practical projects, and exposure to contemporary Gen AI tools aligned with current business practices.
What career opportunities are available after completing this program?
Graduates can pursue roles such as AI Business Analyst, Management Trainee, Consulting Associate, Operations Analyst, and Analytics Executive across sectors.
Can students pursue higher studies after BBA (Gen AI)?
Yes, graduates may pursue MBA/PGDM programs, Master’s degrees in AI, Business Analytics, Data Science, or professional certifications in AI and digital transformation.
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BBA (Gen AI) Powered by KPMG
About
BBA (Gen AI) Powered by KPMG
The BBA (Gen AI) for Business program at Bennett University is a future-ready, industry-integrated undergraduate degree designed to bridge the gap between business education and emerging AI-driven enterprise needs. Co-designed and co-delivered with KPMG, one of the world’s leading Big Four professional services firms, the program equips students with practical Generative AI capabilities, strategic thinking, and business decision-making skills demanded by today’s digital economy.
Duration
3 Years
Credits
125
Start Date
July 2026
Curriculum Highlights
The program is structured to introduce students to foundational and advanced concepts of Generative AI, while embedding AI applications across core business functions such as strategy, analytics, decision-making, and innovation
Courses Delivered by KPMG
Foundations of Generative AI
Prompt Engineering for Business
Advanced Prompt Engineering & Introduction to RAG
Data Analysis & Visualization using AI
Strategic Applications of Generative AI in Business
Evaluating Business Impact of Generative AI
Minors:
Students may opt for cross-disciplinary minors as per the university norms, enabling them to complement Generative AI with areas such as:
Marketing
Finance
Entrepreneurship
Operations
HR
Honours:
High-performing students may opt for an Honours pathway, which typically requires:
completion of additional advanced coursework beyond the standard credit requirement
in depth, research orientation, and applied learning
advanced electives, applied projects, or research-based components
Open Electives:
Students can choose open electives across schools, allowing them to:
build interdisciplinary capabilities
explore liberal arts, technology, or management subjects
strengthen communication, ethics, and leadership skills
Projects:
Students undertake industry-focused capstone projects designed by KPMG, which:
simulate real client engagements using anonymised datasets
work on real-world business problem statements sourced from KPMG’s project repository
outcome-based and competency-based evaluation
focus on critical thinking, data interpretation, collaboration and communication
Internships:
A mandatory 6–8 weeks summer internship is part of the BBA Generative AI Program at Bennett University. It enables students to apply classroom learning to real-world business challenges.
For detailed curriculum, click here
Why BBA (Gen AI) Powered by KPMG from Bennett University
Industry-integrated curriculum co-created with KPMG professionals
Learning directly from KPMG practitioners through real business use cases
Strong focus on applied Gen AI, prompt engineering, and business impact
Experiential learning through case studies, simulations, and capstone projects
Certificate of completion from KPMG upon successful completion of KPMG-delivered modules
Strong alignment with NEP 2020 recommendations on industry–academia collaboration
Eligibility Criteria
Passed class XII standard from any recognised education board with minimum of 60% marks (Best of 3 subjects) and English as compulsory subject;
OR
IB Board with minimum score of 24 credits, 3 Higher level and 3 standard level subjects.
BBA (Gen AI) Powered by KPMG Program Fee
Get complete details of the BBA (Gen AI) Powered by KPMG program fee, including tuition, hostel, and other applicable charges.
Click here for details.
Program Objectives
To provide students with a strong foundation in business administration integrated with Generative Artificial Intelligence concepts for informed managerial decision-making.
To develop conceptual understanding and practical awareness of Generative AI tools, models, and applications relevant to business and organisational contexts.
To enhance analytical thinking, problem-solving, and innovation skills through experiential learning, case studies, and industry-supported projects.
To familiarise students with ethical, legal, and governance aspects of Generative AI, ensuring responsible and sustainable adoption in business practices.
To prepare graduates for employment, entrepreneurship, and higher education by fostering professional competence, adaptability, and lifelong learning orientation in AI-enabled business environments.
Learning Outcomes
After completing the BBA Generative AI program, graduates will be able to:
understand foundational and advanced concepts of Generative AI and its business relevance
apply prompt engineering techniques for real-world business problem solving
use AI tools for data analysis, visualization, and insights generation
evaluate business impact, risks, and ethical considerations of AI adoption
design AI-enabled business strategies across functions and industries
demonstrate industry readiness through case-based learning and simulations
In addition, the students will develop the following skills:
Generative AI literacy for business users
Prompt engineering & AI workflow design
Data-driven decision-making
Business analytics & visualization
Strategic thinking & consulting mindset
Ethical AI awareness and governance basics
Communication, presentation, and client-facing skills
Career Pathways
AI-Enabled Business Roles
AI Business Analyst | Gen AI Executive | Business Intelligence Associate
Management & Consulting
Management Trainee | Consulting Associate | Digital Transformation Analyst
Marketing & Customer Intelligence
Marketing Analytics Executive | Customer Insights Analyst | AI-Powered CRM Executive
Finance, Risk & Compliance
Finance Analytics Executive | AI Risk & Governance Associate | Compliance & Audit Support
Operations & Process Automation
Operations Analyst | Process Automation Executive | AI Operations Associate
Entrepreneurship & Innovation
AI-Driven Entrepreneur | Start-up Analyst | Innovation & Product Associate
Higher Education & Professional Growth
MBA / PGDM (Analytics, AI, Digital Strategy)
M.Sc. / Master’s in AI, Business Analytics, or Data Science
Professional Certifications in Generative AI, AI Governance, and Digital Consulting
Faculty
Prof. (Dr.) Niraj Mankad
Dean, School of Management
Dr. Sangeeta Shukla
Ph.D. – SGBAU, Amravati
Dr. Nidhi Sinha
Ph.D. – JIIT, Noida
Dr. Pradeep Kumar Mohanty
Ph.D. - Anna University, Chennai
Dr. Sumit Mishra
Ph.D. - IIT Roorkee
Dr. Shruti Ashok
Ph.D. - FMS, Delhi University
Dr. Nishant Singh
Ph.D. - IIT Roorkee
Dr. Mitra Amini
Ph.D. - Aligarh Muslim University
Dr. Pratibha Biswas
Ph.D. - Jamia Millia Islamia
Dr Swati Agrawal
Ph.D. - University of Allahabad
Dr Shiv Shankar Kumar Yadav
Ph.D.- JIIT Noida
Dr. Krishnendu Ghosh
Ph.D. - University of Calcutta
Dr. Shayani Sengupta
XLRI-Xavier School of Management, Jamshedpur
Dr. Rajat Kumar Soni
Ph.D. MNNIT Allahabad
Indu Sharma
Ph.D. (thesis submitted) - NIT, Hamirpur
Dr. Nivedita Srivastava
Ph.D. - MNNIT Allahabad
Mr Ayanjit Sen
Masters in Journalism Studies, Cardiff University, UK, 2000
Dr. Pallavi Kiran
Ph.D. - IIT (ISM) Dhanbad
Dr Puja Kaura
Ph.D. - University of Kota
Dr. Ankita Das
Ph.D. - IIT (ISM), Dhanbad
Ms. Priya Harchandani
Ph.D.(Pursuing) , Institute of Management, Nirma University
Dr. Monika Sharma
Ph.D. - IIT, Delhi
Dr. Sobhit Mathew Jose
Ph.D. - IIT, Roorkee
Dr. Saurabh Kumar Srivastava
Ph.D. - IIT(ISM) Dhanbad
Dr. Nimisha Singh
FPM, Birla Institute of Management Technology
Dr. Laxmi Gupta
Ph.D. - IIT, Delhi
Dr. Neha Zaidi
Ph.D. - Aligarh Muslim University
Dr. Ahammed Junaid
FPM - MICA, Ahmedabad
Dr. Ratan Kumar
FPM - Management Development Institute, Gurgaon
Ms. Anu Mohta
Ph.d.(Thesis Submitted) - BHU
Dr. Vijay Prakash Mishra
Ph.D. - Gokhale Institute of Politics and Economics, Pune
Mr. Krishan
Ph.D. (Pursuing) - JNU, Delhi
Mr. Abhishek Saran
Ph.D.(Pursuing) - IIM, Sambalpur
Ms. Priya Mandleshwar
Ph.D. (Pursuing) - IIM, Indore
Ms. Rimleena Boro
Ph.D. (Pursuing) - IIM, Indore
OUR ASK
BBA (Gen AI)
Frequently Asked Questions
What is the BBA (Generative AI) program at Bennett University?
The BBA (Generative AI) program at Bennett University is an undergraduate degree that integrates business administration with Generative Artificial Intelligence concepts to prepare students for AI-enabled business roles.
Do students need a technical or coding background to join the BBA (Generative AI) program?
No prior coding background is required. The program is designed for management students and focuses on business applications of Generative AI, with foundational exposure to relevant tools.
What kind of skills will students gain from the BBA (Generative AI) program?
Students will develop skills in AI-enabled decision-making, business and data analysis, problem-solving, innovation, ethical AI practices, and effective communication.
How does the program ensure industry relevance?
The curriculum incorporates industry inputs, case studies, practical projects, and exposure to contemporary Gen AI tools aligned with current business practices.
What career opportunities are available after completing this program?
Graduates can pursue roles such as AI Business Analyst, Management Trainee, Consulting Associate, Operations Analyst, and Analytics Executive across sectors.
Can students pursue higher studies after BBA (Gen AI)?
Yes, graduates may pursue MBA/PGDM programs, Master’s degrees in AI, Business Analytics, Data Science, or professional certifications in AI and digital transformation.
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