COURSE STRUCTURE
PROGRAMME OVERVIEW
A complete, AICTE-compliant curriculum architecture that transforms every graduate into an AI-fluent manager – regardless of their starting background. The managers of tomorrow must be equipped with both human leadership and AI capabilities.
Don’t just manage businesses… Architect them with AI.
No background assumed. No student left behind. By the end of first
year, every PRTF graduate –regardless of whether they came from
commerce, arts, science, or engineering – will be able to use AI
fluently, think strategically about AI, and walk into any management
role with a genuine competitive advantage.
FIRST YEAR – FOUNDATION AND CORE LEARNING
TRIMESTER OR TERM : FIRST
- Managerial (micro) economics
- Business communication
- Legal and Business environment
- Indian ethos and Business ethics
- Financial reporting, statements and Analysis
- Organizational behaviour
AI-LITERACY
From zero to fluent. Every student learns what AI is, how to use it, and why it matters for business. Hands-on from day one. No maths assumed, No coding assumed. Pure applied fluency built through doing.
TRIMESTER OR TERM : SECOND
- Marketing Management
- Indian economy and Policy
- Corporate finance
- Operations management
- Human resource management
- Business communication
AI-APPLICATION
AI through every business lens. Marketing, Operations, Finance, HR — every functional course gains an AI-application layer. Students see AI not as a separate subject but as the lens through which modern management is practiced.
TRIMESTER OR TERM : THIRD
- Marketing research
- Business analytics
- Corporate strategy
- Strategic management and AI-strategy
AI-STRATEGY
From user to leader. Students learn to make AI-strategy decisions, lead AI-implementations, govern AI-ethically, and deliver a real AI-consulting engagement for an actual organization. They leave with a portfolio piece.
SECOND YEAR – LEARNING OF ELECTIVE COURSES [OR SPECIALIZATION COURSES]
MARKETING AND FINANCE SPECIALIZATION
The course is designed to develop hands‑on expertise in contemporary marketing and finance, including consumer insights, brand building, digital and social media, integrated communications, financial decision‑making, investment management, corporate valuation, and international markets.
AI AND DATA SCIENCE SPECIALIZATION
Develop future-ready expertise in Artificial Intelligence and data-driven decision-making. This specialization equips future managers with both foundational and advanced capabilities required to harness AI for business innovation and strategic growth. Key areas include Big Data technologies (Hadoop and Spark), data engineering fundamentals, natural language processing (NLP) and sentiment analysis, machine learning, deep learning, generative AI, multi-agent and agentic AI systems, and other emerging AI applications.
LEARNING APPROACH
The specialization combines industry-aligned case studies, live projects,
business simulations, and hands-on workshops to strengthen analytical,
strategic, and managerial competencies. Through application-oriented
learning and deployment-focused exercises, students gain practical experience in
designing, implementing, and managing AI-driven solutions, preparing them
for leadership roles in the evolving AI and data science landscape.
Summer Internship [4 to 5 weeks]
Upon completion of Term III, all students will undertake a paid summer internship in AI and Data Sciences, providing hands-on industry exposure and practical application of their learning.
Industry-ready personality and Interview training [2 weeks]
The program focuses on personality development, effective communication, professional grooming, and workplace etiquette to help participants build a strong professional presence.
MCQ-based screening test on foundational concepts in AI and Data Science.
Duration: 30 minutes
Number of questions: 25
No negative marking.
Fieldwork and Project: The final Term VI is dedicated to fieldwork and project-based learning, enabling students to apply their cumulative knowledge to real-world business challenges through guided research and industry-oriented projects.
Placement process: The placement policy of the PGDM Program is designed to provide structured, transparent, and equitable career opportunities for all eligible students. The pre-placement preparation process commences in Term IV, encompassing mock interviews, Group Discussion sessions, and comprehensive training in aptitude and skill assessment.
Value added short-term certificate course
First paid certificate course – During term II
Second paid certificate course – During term V
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 = Approx. 10 hours of classroom instruction (theory)
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.
MOOCs (Massive Open Online Courses)
To complement traditional classroom learning with flexible, self-driven education, the Institute has integrated MOOCs into the regular PGDM curriculum. This initiative provides students with the opportunity to learn specialized areas of business management from globally recognized experts and leading academic platforms.
MOOCs encourage independent, goal-oriented learning and enable students to enhance their knowledge, industry exposure, and professional competencies beyond the classroom. Students are guided throughout the process by the MOOC Coordinator, who provides detailed orientation, academic support, and assistance in course selection and completion.