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MBA AI for Business In Knowledge Partnership with EY India
Program details
What is MBA in Artificial Intelligence for Business?
MBA in Artificial Intelligence for Business, offered in knowledge partnership with EY India, is a future-focused management program that combines business strategy, analytics, and AI technologies to help managers and business leaders use data and AI for decision-making, drive growth, innovation, and business transformation.
Students complete approximately 100 credits, including 40 credits delivered by EY experts through 15 specialised modules (~600 hours), ensuring strong exposure to industry frameworks, tools, and real-world business applications.
The MBA Artificial Intelligence syllabus combines management fundamentals with applied AI capabilities, covering business intelligence, Python-based analytics, machine learning, Generative AI, NLP and text analytics, forecasting, SQL/NoSQL databases, computer vision, AI strategy for business, and responsible AI governance. Learning is strongly case-led and application-focused across functions such as marketing, finance, HR, operations, and supply chain, enabling graduates to translate data into action and lead AI-enabled business initiatives.
Program Highlights
- EY-designed and EY-delivered specialisation modules featuring industry tools, AI frameworks, and real business use cases
- Strong emphasis on data-driven leadership, from discovery and prediction to strategic AI adoption
- Coverage of Generative AI, Responsible AI, and AI governance frameworks
- Hands-on exposure to business intelligence, machine learning, NLP, computer vision, and predictive analytics
- Functional application across marketing, finance, HR, operations, and supply chain
- Case-led learning, consulting projects, and business transformation assignments
Industry Trends and Career Opportunities
Artificial Intelligence is rapidly becoming a core business capability, transforming automation, personalisation, forecasting, customer experience, and strategic decision-making across industries. Organisations increasingly require professionals who can bridge business and technology teams, govern AI responsibly, and convert AI investments into measurable business outcomes.
The MBA in Artificial Intelligence for Business prepares graduates for opportunities across consulting, technology, BFSI, retail and e-commerce, healthcare, telecom, manufacturing, and high-growth startups where analytics and AI are central to transformation.
Career opportunities include:
- Business Analyst
- Data Analyst
- Business Intelligence Analyst
- AI Business Analyst
- AI Strategy Associate
- AI Product Manager
- Digital Transformation Manager
- Marketing Analytics Manager
- Customer Insights Manager
- Financial Analytics Manager
- Predictive Analytics Consultant
- Generative AI Consultant
- Responsible AI Analyst
- AI Governance and Compliance Manager
- Supply Chain Analytics Manager
Long-term career pathways include AI product leadership, strategy consulting, entrepreneurship, and innovation management.
Placements
Students benefit from placement support aligned to analytics- and AI-led career tracks, where employers increasingly value practical capability with tools, problem-solving, data storytelling, and business decision-making.
Through EY-led specialisation modules, learners build industry-relevant exposure and a portfolio of applied work across marketing, finance, HR, operations, supply chain, and AI product management. Graduates are well positioned for opportunities across consulting, BFSI, technology, retail/e-commerce, telecom, healthcare, manufacturing, and high-growth startups, particularly in business analytics, business intelligence, AI strategy, digital transformation, and AI product teams.
Fee Structure
Click here for detailed MBA Artificial Intelligence for Business fee structure.
Curriculum
The MBA Artificial Intelligence syllabus combines management education with practical AI and analytics capabilities. Key Areas Covered:
- Business Intelligence
- Machine Learning
- Generative AI
- Data Storytelling
- AI Strategy for Business
- AI Product Management
- Predictive Analytics
- NLP and Text Analytics
- Computer Vision
- Responsible AI
- AI Governance
- Digital Transformation
Semester 1
| Course | L | T | P | Credit |
|---|---|---|---|---|
| Organizational Behaviour | 2 | 0 | 0 | 2 |
| Marketing Management | 2 | 0 | 0 | 2 |
| Managerial Economics | 2 | 0 | 0 | 2 |
| Accounting for Managers: Financial Information & Decision Making | 2 | 0 | 0 | 2 |
| Managerial Communication 1 | 2 | 0 | 0 | 2 |
| Managerial Statistics: Driving Insightful Decisions | 2 | 0 | 0 | 2 |
| Business Intelligence Mastery with Excel & Power BI | 3 | 0 | 0 | 3 |
| Python for Data Analytics | 3 | 0 | 0 | 3 |
| Individual Project | 1 | 0 | 0 | 1 |
| EDGE Aptitude Intermediate | 0 | 0 | 0 | 0 |
| EDGE Intermediate Employability Skills with Practice | 0 | 0 | 0 | 0 |
| Placement 101 | 1 | 0 | 0 | 1 |
| TOTAL | 20 |
Semester 2
| Course | L | T | P | Credit |
|---|---|---|---|---|
| Human Resource Management | 2 | 0 | 0 | 2 |
| Predictive Modelling & Machine Learning for Strategic Outcomes | 3 | 0 | 0 | 3 |
| Data-Driven Decision Making: Foundations for Future Managers | 2 | 0 | 0 | 2 |
| SQL and NoSQL for Business Managers: Accessing Data for Decisions | 2 | 0 | 0 | 2 |
| Automation using AI (Low Code No-Code Solutions) | 3 | 0 | 0 | 3 |
| Managerial Communication 2 | 2 | 0 | 0 | 2 |
| Business Research Methods | 2 | 0 | 0 | 2 |
| Industrial Visit | 1 | 0 | 0 | 1 |
| Strategic Management | 2 | 0 | 0 | 2 |
| EDGE Aptitude Advance Practice | 0 | 0 | 0 | 0 |
| EDGE Advance Employability Skills with Practice | 0 | 0 | 0 | 0 |
| Live Project | 2 | 0 | 0 | 2 |
| Placement 102 | 1 | 0 | 0 | 1 |
| TOTAL | 22 |
Semester 3
| Course | L | T | P | Credit |
|---|---|---|---|---|
| AI Across Domains: Industry Use Cases for Strategic Value | 3 | 0 | 0 | 3 |
| Agentic AI using CoPilot Studio | 3 | 0 | 0 | 3 |
| Strategic Analytics for Business Functions (HR, Finance, Marketing) | 3 | 0 | 0 | 3 |
| SmartChain: Analytics-Driven Supply Networks | 3 | 0 | 0 | 3 |
| Generative AI for Business: Transforming Content & Strategy | 3 | 0 | 0 | 3 |
| Summer Internship | 2 | 0 | 0 | 2 |
| Global Context of Business | 1 | 0 | 0 | 1 |
| Project Management | 2 | 0 | 0 | 2 |
| Placement 201 | 1 | 0 | 0 | 1 |
| TOTAL | 21 |
Semester 4
| Course | L | T | P | Credit |
|---|---|---|---|---|
| AI Marketing Analytics | 3 | 0 | 0 | 3 |
| AI Product Management & Agile for Data Teams | 2 | 0 | 0 | 2 |
| Big Data Analytics | 3 | 0 | 0 | 3 |
| Responsible AI & Data Ethics for Business Leaders | 2 | 0 | 0 | 2 |
| Business Ethics and CSR | 2 | 0 | 0 | 2 |
| Social & Web Analytics using AI | 3 | 0 | 0 | 3 |
| Dissertation | 4 | 0 | 0 | 4 |
| Environmental, Social and Governance | 2 | 0 | 0 | 2 |
| TOTAL | 21 |
Eligibility
Interested candidates must meet the minimum MBA in Artificial Intelligence eligibility criteria, as specified below:
- Minimum 50% marks in Classes X and XII, and minimum 60% in Graduation.
- Graduation from a recognized university in any stream.
Selection Criteria
Selection for admission to the MBA in Artificial Intelligence for Business program at UPES is based on performance in UPESMET / National Level Exams followed by a Personal Interview.
