Integrated B.Sc.–M.Sc. in Computer Science(AI/ML) – Industry Integrated Generative AI and Prompt Engineering Track in collaboration with IBM
About Program
Students gain knowledge in deep learning, neural networks, natural language processing, and AI-driven applications. The curriculum emphasizes innovation and practical implementation to prepare students for cutting-edge technology roles.
Program Highlight
Program Outcomes (POs)
| POs | Description |
|---|---|
| PO1 | Fundamental Knowledge: Recognize the fundamental concepts of computers, including software, hardware, and computing technologies, and understand their evolution and applications. |
| PO2 | Design & Development of Solutions: Analyze, design, implement, and evaluate computing solutions such as software systems and web applications to address real-world problems. |
| PO3 | Problem Analysis: Apply principles of algorithms, computer science theory, and mathematical foundations to analyze and model computing problems. |
| PO4 | Analytical Abilities: Demonstrate critical thinking and analytical skills to evaluate situations and propose appropriate computing solutions. |
| PO5 | Modern Tools Usage: Select and apply appropriate techniques, resources, and modern computing tools such as modeling and predictive technologies while understanding their limitations. |
| PO6 | Ethics: Apply professional ethics, responsibilities, and standards while practicing computing technologies in an ethical and socially responsible manner. |
| PO7 | Technical Skills: Develop technical competencies to work as computing professionals or entrepreneurs and contribute productively to society. |
| PO8 | Teamwork & Individual Contribution: Function effectively as an individual and as a member or leader of diverse teams in multidisciplinary environments. |
| PO9 | Project Management: Apply technical and management skills to plan, organize, and execute computing projects and effectively document and present solutions. |
| PO10 | Communication: Communicate effectively with the technical community and society through reports, documentation, presentations, and clear technical explanations. |
| PO11 | Programming Knowledge: Understand and apply programming paradigms such as object-oriented and functional programming along with database technologies to develop software applications. |
| PO12 | Value Added Knowledge: Recognize societal, environmental, cultural, and health-related challenges and contribute computing solutions for sustainable development. |
Program Specific Outcomes (PSOs)
| PSOs | Description |
|---|---|
| PSO1 | Artificial Intelligence and Machine Learning Applications: Apply core concepts of machine learning, deep learning, and artificial intelligence to solve real-world problems in domains like healthcare, finance, robotics, and NLP. |
| PSO2 | Intelligent System Design and Deployment: Design, train, evaluate, and deploy intelligent systems using modern ML frameworks, neural networks, and optimization techniques. |
| PSO3 | Ethical and Responsible AI Practices: Demonstrate ethical and responsible use of AI technologies, with awareness of algorithmic fairness, interpretability, and data privacy. |
Integrated B.Sc.–M.Sc. in Computer Science(AI/ML) – Industry Integrated Generative AI and Prompt Engineering Track in collaboration with IBM - CURRICULUM
Semester 1
| Subject Name | L | T | P | C |
|---|---|---|---|---|
| Programming Fundamentals using C | 3 | 4 | 0 | 4 |
| Basic Electronics | 4 | 0 | 0 | 4 |
| Calculus and Ordinary Differential Equation | 3 | 0 | 1 | 4 |
| Intro to Computer Science | 3 | 0 | 1 | 4 |
| Professional Ethics-I | 2 | 0 | 0 | 2 |
| Introduction to Environmental Science | 2 | 0 | 0 | 2 |
| Hands on Project-I | 0 | 2 | 1 | 2 |
| Total | 17 | 6 | 3 | 22 |
Semester 2
| Subject Name | L | T | P | C |
|---|---|---|---|---|
| Object-Oriented Programming with C++ | 3 | 2 | 0 | 4 |
| Data Structure and Algorithms-I | 3 | 2 | 0 | 4 |
| Computer Organization and Architecture | 3 | 2 | 0 | 4 |
| Discrete Mathematics | 3 | 0 | 1 | 4 |
| Communication Skills | 2 | 0 | 0 | 2 |
| Indian Knowledge System | 2 | 0 | 0 | 2 |
| Hands on Project-II | 0 | 2 | 1 | 2 |
| Total | 16 | 8 | 2 | 22 |
L = Lecture,
T = Tutorial,
P = Practical,
C = Credits
