M.Sc. CS(Data Science)
About Program
The program covers advanced topics in machine learning, big data processing, and statistical modeling. Students undertake research-oriented projects to develop data-driven solutions for various industries.
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 | Data Analysis and Interpretation: Analyze and interpret large-scale structured and unstructured datasets using statistical, mathematical, and computational techniques. |
| PSO2 | Modern Data Science Tools and Predictive Modeling: Use modern data science tools such as Python, R, SQL, machine learning libraries, and visualization platforms to build predictive and analytical models. |
| PSO3 | Ethical and Data-Driven Solutions: Develop data-driven solutions for business, research, and public sectors while ensuring data governance, privacy, and ethical use of data. |
M.Sc. CS(Data Science) - CURRICULUM
Semester 1
| Subject Name | L | T | P | C |
|---|---|---|---|---|
| Python Programming | 3 | 0 | 2 | 4 |
| Data Structures & Algorithms | 3 | 0 | 2 | 4 |
| Introduction to Data Science | 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 | 2 | 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 | 10 | 22 |
L = Lecture,
T = Tutorial,
P = Practical,
C = Credits
