COURSE STRUCTURE
PROGRAMME DURATION
2 Years (6 Trimesters)
The 2 years curriculum has been divided into 6 trimesters. The 2-year curriculum includes lectures, tutorials, practical, seminars, projects, and industrial training. There will be two types of courses:
Foundation [or Core courses] which must be compulsorily studied by a student as a core requirement to complete the program. Build strong fundamentals in management disciplines such as Marketing, Finance, Human resources, AI and Data Science, Operations etc
Elective courses [or Specialization or Major]
These may support the discipline, provide extended scope, enable exposure to another discipline or domain, or nurture student proficiency skills.
MARKETING and FINANCE
AI and DATA SCIENCE
NUMBER OF CREDITS
First year (I, II, III terms): 54 credits of core courses.
Second year (IV, V, VI terms): 42 credits of elective [or specialization] courses.
Internship: 06 credits
Total credits: 102
1 Credit = 15 hours of classroom instruction (theory)
SYLLABUS
As per AICTE model curriculum and NEP 2020
YEAR 1 – Foundation and Core learning (Trimester I, II, III)
| Trimester I | Trimester II | Trimester III |
| Managerial (micro) economics | Indian economy and Policy | Legal and Business environment |
| Business Communication | Corporate finance | Marketing research |
| Financial Reporting, Statements & Analysis | Operations management | Business analytics |
| Marketing Management | Human resource management | Corporate strategy |
| Organizational Behaviour | Business communication | Business ethics and Indian ethos |
| Quantitative Techniques | AI in Marketing, Finance & Operations | Strategic management and AI Strategy |
| Introduction to AI for Managers | Cloud Computing (Amazon Web Services, Microsoft Azure, Google Cloud Platform) | AI business ethics & ESG |
| Python, SQL & Notebook Basics | Data Visualization (Tableau, Power BI) | AI strategy & Competitive advantage |
| Statistical Foundations (with AI tools) | AI Business Case (ROI, TCO) | |
| LLM Tools Lab (ChatGPT, Claude, Gemini) | AI product management | |
| AI in CX, HR, Retail, Sustainability | ||
| Intelligent process automation (RPA) |
- Summer Internship programme: At the end of trimester (term) III.
- Training for interview: At the end of trimester (term) III.
YEAR 2 – Elective courses [or specialization courses] (Trimester IV, V)
MARKETING AND FINANCE MANAGEMENT
MARKETING
- Consumer behaviour
- Product and Brand management
- Digital and Social Media Marketing
- Integrated Marketing Communications (IMC)
- Sales and Distribution Management
FINANCE
- Investment analysis and Portfolio management
- Financial markets and Services
- Corporate valuation
- Financial derivatives
- Mergers, Acquisitions and Corporate restructuring
- International finance
AI AND DATA SCIENCE MANAGEMENT
CORE DATA SCIENCE
- Machine learning
- Big data (Hadoop, Spark)
- Data engineering basics
- NLP and Sentiment analysis
- Decision support systems
ADVANCED AI
- Deep learning and Generative AI
- Multi-agent systems and Agentic AI
- MLOps (deployment)
- Intelligent Automation (IPA)
- Domain elective (Finance / Marketing / Ops)
PROJECT AND EXPERIENTIAL LEARNING: Trimester VI
EVALUATION SCHEME
The evaluation scheme for the Management Programme is designed to assess students’ conceptual understanding, analytical ability, and practical application skills. In line with All India Council for Technical Education guidelines, a balanced approach is followed, combining continuous internal assessment with end-term evaluation. The curriculum encompasses core management subjects to build a strong foundation in general management, along with specialized courses for domain-specific expertise, ensuring both academic rigor and industry relevance.
EVALUATION SYSTEM
Student performance is assessed through a combination of continuous internal evaluation and end-term examination, in line with All India Council for Technical Education guidelines. Continuous evaluation includes quizzes, assignments, class tests, case analyses, presentations, and attendance. The end-term assessment may comprise written examinations, practical, viva-voce, projects, and reports, as applicable.
The weightage of internal and end-term components is as prescribed by AICTE norms. Evaluation of practical, projects, and viva may involve both internal and external examiners where required. Final grades are awarded based on a ten-point grading system with corresponding letter grades.
