Undergraduate Program: BS(AI & BA)

BS program: Applicants must meet the following criteria:

• have completed the 10+2 system (or equivalent) in 2025 or 2026 with Physics, Chemistry, and Mathematics, as main subjects
• Qualified JEE Advanced.

Tech-MBA program: Applicants must meet the following criteria:

• Four-year Bachelor's Degree in Engg./Tech./Data Science/Artificial Intelligence from a recognized University with minimum 60% marks/ 6.75/10 CGPA or equivalent (55% for SC/ST/PwD).
• valid Cat Score.
• Candidates graduating from top twenty NIRF ranked institutes in Engineering category with 8 CGPA and above will be exempted from CAT score (NIRF rank of institutes in graduating year will be considered).

The admission merit list will be prepared based on the CAT score, academic performance, work experience, and personal interview score.

Indicative List of Electives

Non Credit Courses

1. Business History
2. Corporate Sector Attachment
3. Business Communication
4. Social Sector Attachment
5. A National Program
6. Business Ethics
7. Corporate Communication
8. Digital Economy

Course structure for the BS Program

Name of Course (First Year):

• Linear Algebra
• Calculus
• Math for Computing (Discrete Math and Logic)
• Probability and Random Process & Statistical Inference
• Python Programming*
• Data Structures & Algorithms *
• Web and App Programming*
• Computing fundamentals (OS, Network, Architecture)
• Data Engineering and Pipeline (Python) *
• AI Fundamentals
• Summer Internship

Name of Course (Second Year):

• Optimization for ML/DL
• Software Engineering
• Design and Analysis of Algorithm *
• Databases *
• Object Oriented Programming *
• Design Thinking
• Data Warehouse and Data Mining*
• Big Data Computing *
• Machine Learning and Deep Learning *
• Generative AI Models *
• Summer Internship

Name of Course (Third Year):

• Cloud Computing & MLOps
• Data Visualization*
• LLM Engineering*
• Computer Vis ion *
• Natural Language Processing and Speech Understanding*
• Competitive Programming*
• AI Governance
• Social Network Analysis
• Recommender Systems *
• Agentic AI *
• Marketing Analytics
• HR Analytics
• Fintech Ecosystem
• Operation and Supply Chain Analytics
• Digital Transformation Strategy
• Summer Internship

Name of Course (Third Year):

• Elective -1
• Elective -2
• Elective -3
• Elective -4
• Project/ Dissertation

Note: *Lab-based course

Dual Degree Options: Students can pursue integrated pathways including a combined BS in AI with a Tech-MBA offering comprehensive technical and business expertise for leadership roles in AI-driven enterprises.

International Graduate Pathways: BS + 1 year MS or MBA programs offered through partnerships with leading global universities, providing students with international exposure and cross-cultural perspectives in AI applications and business strategy will be explored.

Teaching in these new programs integrates lectures, case studies, hands-on laboratories, design studios, and real-world consulting projects to provide comprehensive learning experiences. Courses is linked to hands-on lab work, ensuring students gain both conceptual understanding and technical proficiency.

Students participate in capstone integration projects that require combining knowledge from multiple domains including computer vision, natural language processing, and cognitive systems to address complex challenges such as smart city management and inclusive healthcare solutions.

Students in the Tech-MBA program select from various cutting-edge specialisations designed to match the latest technology and business trends, enabling them to tailor their learning to evolving industry demands. A few relevant electives from PGP can also be offered to these students.

Area of Specializations:

• AI & ANALYTICS LEADERSHIP
• DIGITAL TRANSFORMATION
• FINTECH & DIGITAL FINANCE
• CLOUD & ENTERPRISE SOLUTIONS
• CYBERSECURITY & RISK LEADERSHIP

SPECIALIZATION 1: AI & Analytics Leadership

• Advanced Machine Learning for Business Strategy
• Algorithmic Business Models
• AI Ethics & Responsible Innovation
• Predictive Analytics & Strategic Forecasting
• Natural Language Processing for Business
• Computer Vision Applications
• Quantum Computing Fundamentals
• AI in Healthcare & Biotechnology
• Autonomous Systems & Robotics Strategy
• AI-Powered Financial Services
• Edge Computing & IoT Analytics

SPECIALIZATION 2: Digital Transformation Leadership

• Digital Strategy & Business Model Innovation
• Organizational Change Management
• Digital Customer Experience Design
• Innovation Management & Intrapreneurship
• Digital Operations & Process Redesign
• Agile Leadership & Project Management
• Industry 4.0 & Smart Manufacturing
• Digital Marketing & Growth Hacking
• Blockchain Strategy & Applications
• Digital Health & Telemedicine Strategy
• Smart Cities & Government Digital Services

SPECIALIZATION 3: Fintech & Digital Finance (Illustrative)

• Blockchain & Cryptocurrency Strategy
• Digital Banking & Payment Systems
• Algorithmic Trading & Quantitative Finance
• InsurTech & Risk Analytics
• Regulatory Technology (RegTech)
• Alternative Lending & Credit Analytics

SPECIALIZATION 4: Cloud & Enterprise Solutions (Illustrative)

• Advanced Cloud Architecture & Strategy
• Enterprise Integration & API Management
• DevOps & Continuous Innovation
• Data Engineering & Big Data Platforms
• Cloud Security & Governance
• Enterprise Mobility & Collaboration Platforms

SPECIALIZATION 5: Cybersecurity & Risk Leadership (Illustrative)

• Strategic Cybersecurity Management
• Threat Intelligence & Incident Response
• Privacy Engineering & Data Protection
• Security Architecture & Zero Trust
• Cyber Risk Assessment & Insurance
• Security Awareness & Human Factors

Additionally, the curriculum encourages broader exploration, awarding five credits for experiential learning through hands-on projects and industry engagement, ensuring students graduate with both subject mastery and practical expertise.

Experiential Component: Cybersecurity & Risk Leadership (Illustrative)

• Capstone Project / Product development Lab
• Industry Practicum – Summers after 1st year

BS Program (BS): Semester‑wise Curriculum

The BS program is designed to build a strong foundation in Mathematics and Statistics. Students are equipped with various programming skills, including Python, OOPs, and Vibe coding. On top of this, students are exposed to Business Analytics and Artificial Intelligence, making them true BS graduates in both fields. Figure 1 shows the layered approach of the BS degree.

The BS program spans eight semesters. Each 3-credit course comprises 45 hours, including lectures, tutorials, and lab work. Courses marked with an asterisk include a hands‑on lab. Table 2 presents semester-wise course details.