M.Sc. CS (Artificial Intelligence & Machine Learning)
About Program
Students explore advanced AI concepts such as deep learning, reinforcement learning, and AI ethics. The program includes practical projects and research opportunities aligned with industry needs.
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 | Advanced Artificial Intelligence and Machine Learning: Apply advanced concepts of Artificial Intelligence and Machine Learning, including supervised, unsupervised, and deep learning techniques to solve complex real-world problems. |
| PSO2 | Intelligent System Design and Optimization: Design, implement, and optimize intelligent systems using modern AI/ML frameworks, neural networks, and data-driven algorithms. |
| PSO3 | Ethical AI Applications and Domain Solutions: Develop AI-based solutions for domains such as healthcare, finance, robotics, and natural language processing while ensuring ethical and responsible use of AI technologies. |
M.Sc. CS (Artificial Intelligence & Machine Learning) - CURRICULUM
Semester 1
| Subject Name | L | T | P | C |
|---|---|---|---|---|
| Python Programming | 3 | 0 | 2 | 4 |
| Data Structures & Algorithms | 3 | 0 | 2 | 4 |
| Foundations of Artificial Intelligence | 4 | 0 | 0 | 4 |
| Probability & Statistics | 4 | 0 | 0 | 4 |
| Communication & Soft Skills | 2 | 0 | 0 | 2 |
| Ethics in AI, Data Science and Cyber Security | 2 | 0 | 0 | 2 |
| Hands on Project-I | 0 | 1 | 2 | 2 |
| Total | 18 | 1 | 6 | 22 |
Semester 2
| Subject Name | L | T | P | C |
|---|---|---|---|---|
| Regression Analysis and Predictive Models | 3 | 0 | 2 | 4 |
| Fundamentals of Devops | 3 | 0 | 2 | 4 |
| Linear Algebra | 3 | 1 | 0 | 4 |
| Database Management System | 3 | 0 | 3 | 4 |
| Object-oriented programming | 1 | 0 | 2 | 2 |
| Indian Knowledge System | 2 | 0 | 0 | 2 |
| Hands on Project-II | 0 | 1 | 2 | 2 |
| Total | 15 | 2 | 11 | 22 |
L = Lecture,
T = Tutorial,
P = Practical,
C = Credits
