All subjects

First Semester

1. Foundation of data science and analytics
   • Syllabus
2. Distributed and Edge Computing
   • Syllabus
3. Machine Learning and Computational Intelligence
   • Syllabus
4. Big data analytics
   • Syllabus

     Second Semester

5. Optimization Theory and Techniques
6. Information Vizualization
7. Elective I
8. Elective II

Third Semester

1. Elective III
2. Elective IV
3. Project

Fourth Semester

1. Thesis

Elective choices:

Note about electives, elective subjects are combinedly taught.

Attribution to the contributors:

Krischal Khanal