About
MBA‑BA develops managers who can translate business problems into analytical questions, build and evaluate models, and communicate insights that improve decision-making. The programme is designed around a ‘manager-first analytics’ philosophy—technical capability paired with strong contextual understanding of organisations, markets and stakeholders.
Curriculum and Pedagogy
Year 1 combines foundational management courses with core analytics capability building—data management, programming (Python), mathematical foundations, business intelligence and visualization, econometrics, and machine learning. Ethical Issues in AI (Year 1, Term III) anchors responsible innovation and governance. In Year 2, students deepen expertise through advanced analytics and domain application electives across marketing, finance, operations, HR and digital strategy—leveraging the shared elective marketplace for multidisciplinary learning.
| Course | Credit |
| Business Statistics | 3.0 |
| Data Management | 3.0 |
| Financial and Management Accounting | 3.0 |
| Introduction to Python | 1.5 |
| Managerial Computing | 1.5 |
| Marketing Management | 3.0 |
| Mathematical Foundation for Business Analytics | 3.0 |
| Organizational Behaviour | 3.0 |
| 3-Day Immersion in Analytics Practices | 0 |
| Total: | 21 |
| Course | Credit |
| Business Communication I | 1.5 |
| Legal Aspects of Business | 1.5 |
| Business Intelligence and Data Visualization | 3.0 |
| Introduction to Business Analytics | 3.0 |
| Information Systems | 3.0 |
| Managerial Economics | 3.0 |
| Operations Management | 3.0 |
| Operations Research | 3.0 |
| Total: | 21 |
| Course | Credit |
| Business Research Methods | 3 |
| Ethical Issues in AI | 1.5 |
| Econometrics | 3 |
| Financial Management | 3 |
| Human Resource Management | 3 |
| Machine Learning and Predictive Analytics | 3 |
| Strategic Management | 3 |
| Business Communication II | 1.5 |
| Total: | 21 |
| Course | Credit |
| Electives | 18 |
| Course | Credit |
| Electives | 15 |
| Course | Credit |
| Electives | 15 |
- Investment Banking & VC
- Applications of Behavioural & Experimental Finance
- Fixed Income Securities
- Business Valuation
- Investment Management
- Financial Risk Management
- International Finance
- Mergers & Acquisitions
- Financial Statement Analysis & Forensic Accounting
- Derivatives
- Financial Econometrics
- FinTech
- Bank Management
- Tax Planning and Administration
- Econometrics with Business Applications
- Industrial Organization
- International Economics and Global Markets
- Game Theory & Strategic Behaviour
- Economics of Multisided Business
- Money, Banking, and Finance
- India and World Economy
- Forecasting with Time Series Data
- IT Product Management
- Emerging Technologies in Industry 4.0
- Digital Transformation Strategies
- The Business of Artificial Intelligence
- Pricing Analytics
- Data Mining & Predictive Analytics
- Fundamentals of Business Analytics & Intelligence
- Data Analytics and Machine Learning Techniques
- Managing Innovation in the Digital Era
- Social Network Analysis using R
- Ecommerce
- Strategy for Analytics
- Supply Chain Analytics
- Advanced Predictive Analytics using R
- Marketing Intelligence & Marketing Analytics
- Decision Analytics with Business Applications
- Operations Analytics
- Data Science for Businesses
- Consulting in e-Governance: From Vision to Implementation
- Strategies for Information Systems Management
- Mobile Applications & M-commerce for Managers
- Text Analytics using R
- Social Media & Cognitive Analytics
- Artificial Intelligence in Business: An Introduction
- Consumer Behaviour
- Integrated Marketing Communication
- International Marketing
- Pricing
- Product and Brand Management
- Sales and Distribution Management
- BOP Markets: Perspectives & Solutions
- Digital Marketing
- Business to Business Marketing
- Judgment and Decision Making
- Marketing Analytics
- Retail Management
- Services Marketing
- Customer Relationship Management
- Entrepreneurial Marketing
- Neuromarketing and Consumer Neuroscience
- Sports and Entertainment Marketing
- Strategic Marketing
- Service Operations Management
- Dynamic Pricing and Revenue management
- Supply Chain Management
- Decision Making Tools and Techniques for Managers
- Project Management
- Data Analytics and Machine Learning Techniques
- Decision Analytics with Business Applications
- Operations Analytics
- Business Transformation using Lean Six Sigma (Advanced)
- Supply Chain Analytics
- Procurement and Materials Management
- Operations Strategy
- Logistics and Warehousing
- Negotiation & Conflict Management
- Leadership and Organizational Change
- Neuroscience for Managerial & Personal Effectiveness
- Talent Management for Business Managers
- Competitive & Cooperative Strategy (CCS)
- Corporate Strategy
- International Business Management
- Design Thinking & Innovation
- Simulations in Strategy
- Strategic Change and Transformation
- Management Consulting
- Strategic Tools and Techniques
- Current and Emerging Issues in Strategic Management
- System Thinking and Business Dynamics
- Mergers & Acquisitions
- Management of Strategic Alliances
- Corporate Governance & Social Responsibility
- Business Models
- International Business Ethics
Signature Innovations and Curriculum Modernisation
IIM Ranchi has highlighted curriculum efforts to integrate AI into learning through new AI-oriented courses and applied decision-making projects. The programme’s explicit ethics and governance framing supports responsible AI adoption, improving efficiency (better tool use), effectiveness (sound modelling and measurement), and impact (trustworthy, stakeholder-aware analytics).
Experiential Learning and Industry Interface
Hands-on learning is central: students work on datasets, modelling, visualization, and decision storytelling in course assignments and projects, supported by internships and industry interactions. The Social Impact Practicum offers an additional applied arena—encouraging students to use analytics for SDG-linked societal problems and ‘analytics for good’ outcomes.
Career Outcomes and Recruiter Value
Recruiters increasingly seek analytics-ready managers who can combine technical fluency with business judgement. Reported placement outcomes for MBA‑BA show strong corporate interest and rising PPO outcomes, reflecting industry demand for managers who can lead data-enabled initiatives across functions and sectors.
Milestones and Strengths
MBA‑BA was launched in 2021, and early cohorts achieved strong placement milestones—positioning the programme as a key growth engine within IIM Ranchi’s postgraduate portfolio. Within the IIM ecosystem, its strengths include embedded AI ethics, multidisciplinary integration with MBA and HRM cohorts, and a clear focus on decision impact.
Merit cum Means Scholarship
Merit cum Means Scholarship
- Worth ₹1 crore every year
IIM Ranchi is committed to supporting meritorious students through the provision of 25 prestigious scholarships across MBA, MBA-HR, MBA-BA, and IPM. These scholarships are specifically designed to uplift and encourage academically outstanding individuals who face financial constraints. Our inclusive approach also entails providing additional weightage and recognition to differently-abled (divyangs) students, and students from the Scheduled Caste (SC) and Scheduled Tribe (ST) categories.
