Courses

Syllabus, lectures and resources.

Names, codes and credits may be outdated. Check the official handbook and grading document.

Part I

Foundation Level

  1. MA1001Mathematics for Data Science I4 cr
  2. MA1002Statistics for Data Science I4 cr
  3. CS1001Computational Thinking4 cr
  4. HS1001English I4 cr
  1. MA1003Mathematics for Data Science II4 cr
  2. MA1004Statistics for Data Science II4 cr
  3. CS1002Programming in Python4 cr
  4. HS1002English II4 cr
Part II · a

Diploma in Programming

  1. CS2001Database Management Systems4 cr
  2. CS2002Programming, Data Structures & Algorithms using Python4 cr
  3. CS2003Modern Application Development I4 cr
  4. CS2003PMAD I — Project2 cr
  1. CS2005Programming Concepts using Java4 cr
  2. CS2006Modern Application Development II4 cr
  3. CS2006PMAD II — Project2 cr
  4. SE2001System Commands3 cr
Part II · b

Diploma in Data Science

Mandatory — 21 credits
  1. CS2004Machine Learning Foundations4 cr
  2. MS2001Business Data Management4 cr
  3. CS2007Machine Learning Techniques4 cr
  1. CS2008Machine Learning Practice4 cr
  2. CS2008PML Practice — Project2 cr
  3. SE2002Tools in Data Science3 cr
Track selection — pick one · 6 credits
  1. MS2002Business Analytics4 cr
  2. MS2001PBusiness Data Management — Project2 cr
  1. DA2001Introduction to Deep Learning and Generative AI4 cr
  2. DA2001PDeep Learning & GenAI — Project2 cr
Part III · a

BSc Degree Level

Mandatory core — 20 credits
  1. CS3001Software Engineering4 cr
  2. CS3002Software Testing4 cr
  3. CS3003AI: Search Methods for Problem Solving4 cr
  1. CS3004Deep Learning4 cr
  2. GN3001Strategies for Professional Growth4 cr
Part III · b

BS Degree · Electives

  1. BT4001Algorithmic Thinking in Bioinformatics4 cr
  2. BT4002Big Data & Biological Networks4 cr
  3. CS4001Data Visualization Design4 cr
  4. EE4001Speech Technology4 cr
  5. MS4002Design Thinking for Data-Driven App Development4 cr
  6. MS4001Industry 4.04 cr
  7. MS3002Market Research4 cr
  8. CS4003Privacy & Security in Online Social Media4 cr
  9. DA5001Introduction to Big Data4 cr
  10. MS4003Financial Forensics4 cr
  11. MA3012Linear Statistical Models4 cr
  12. CS4021Advanced Algorithms4 cr
  13. MA3014Statistical Computing4 cr
  14. CS3031Computer Systems Design4 cr
  15. CS3005Programming in C4 cr
  16. MA2001Mathematical Thinking4 cr
  17. DA5004Large Language Models4 cr
  18. DA5005Introduction to Natural Language Processing (i-NLP)4 cr
  1. DA5006Deep Learning for Computer Vision4 cr
  2. MS3033Managerial Economics4 cr
  3. MS4023Game Theory and Strategy4 cr
  4. MS3034Corporate Finance4 cr
  5. DA5013Deep Learning Practice4 cr
  6. CS4022Operating Systems4 cr
  7. DA5002Mathematical Foundations of Generative AI4 cr
  8. DA5003Algorithms for Data Science4 cr
  9. DA5014Machine Learning Operations (MLOps) ↗ ext4 cr
  10. DA4001Data Science and AI Lab4 cr
  11. CS4010Application Development Lab4 cr
  12. CS4024Computer Networks4 cr
  13. CS3021Theory of Computation4 cr
  14. DA5007Reinforcement Learning4 cr
  15. CS4032Compiler Design4 cr
  16. MA3001Discrete Mathematics4 cr
  17. DA6004Sequential Decision Making4 cr
Part IV

PG Diploma in AI & ML

Core — 12 credits
  1. DA5014MLOps4 cr
  2. DA5002Generative AI4 cr
  3. DA5003Algorithms for Data Science4 cr
Electives — pick 2 · 8 credits
  1. DA5004Large Language Models4 cr
  2. DA5005Introduction to Natural Language Processing4 cr
  3. DA5006Deep Learning for Computer Vision4 cr
  4. DA5007Reinforcement Learning4 cr
  5. DA6001Responsible AI4 cr
  6. DA6002Statistical Learning Theory4 cr
  1. DA6003Deployability Aspects of AI4 cr
  2. DA6004Sequential Decision Making4 cr
  3. DA6005Information Theory and Learning4 cr
  4. EE4001Speech Technology4 cr
  5. DA6006Research Project4 cr
Part V

MTech Level

  1. DA6901MTech Project20 cr