Theme Area
Scalable Artificial Intelligence (AI)
Courses offered
| Sl.No | Courses | Detailed Syllabus | Regulations |
|---|---|---|---|
| 1 |
M.Sc., (Data Science) [2019-2020] Onwards |
 |
|
| 2 | M.Sc., (Data Science) Syllabus [2023-24] Onwards | |
Post-Graduate Programme M.Sc., (Data Science)
Programme Educational Objectives (PEOs)
PEO1: Utilizing strong quantitative aptitude and domain knowledge to apply quantitative modeling and data analysis techniques to provide solutions to the real world business problems.
PEO2: Applying research and entrepreneurial skills augmented with a rich set of communication, teamwork and leadership skills to excel in their profession.
PEO3: Showing continuous improvement in their professional career through life-long learning, appreciating human values and ethics.
Programme Outcomes (POs)
PO1: Apply knowledge of quantitative aptitude, programming fundamentals, computing techniques, and domain knowledge to analyze real-world problems and requirements.
PO2: Provide solutions to the complex computing problems reaching substantiated conclusions using fundamental principles of mathematics, computational science, and relevant domain disciplines.
PO3: Create, select, adapt and apply suitable mathematical techniques, and modern computing tools to complex computing activities, with an understanding of the limitations.
