|
S.N |
Course Code |
Course Title |
Cr. Hrs. |
Remark |
|
General courses |
|
|||
|
1 |
DSA1101 |
Introduction to Data Science and Analytics |
3 |
|
|
2 |
DSA1102 |
Research Methods for Data Science |
3 |
|
|
Core courses |
|
|||
|
3 |
DSA1113 |
Statistical and Mathematical Methods for Data Science |
3 |
|
|
4 |
DSA1114 |
Data Science and Analytics Workshop |
3 |
|
|
5 |
DSA1211 |
Advanced Machine Learning |
3 |
|
|
6 |
DSA1212 |
Natural Language Processing |
3 |
|
|
7 |
DSA1213 |
Big Data Analytics & Visualization |
3 |
|
|
8 |
DSA1214 |
Advanced Data Management & Curation |
3 |
|
|
9 |
DSA1215 |
Computer Vision |
3 |
|
|
10 |
DSA2111 |
Master’s Thesis |
6 |
|
|
Elective courses |
|
|||
|
1 |
DSA1221 |
Internship |
3 |
|
|
2 |
DSA1222 |
Social Network Analytics |
3 |
|
|
3 |
DSA1224 |
Data Science in Business |
3 |
|
|
4 |
DSA1225 |
Data Science for Life Sciences |
3 |
|
|
Bridge courses |
|
|
||
|
1 |
Fundamentals of Database systems |
3 |
All courses are mandatory |
|
|
2 |
Fundamental of Programing |
3 |
||
|
3 |
Introduction to Statistics |
3 |
||
|
4 |
Applied Mathematics |
3 |
||
|
Total credit hours |
36 |
|
||
|
Year I |
Semester I |
Course code |
Course Title |
|
DSA1101 |
Introduction to Data Science and Analytics |
||
|
DSA1102 |
Research Methods for Data Science |
||
|
DSA1113 |
Statistical and Mathematical Methods for Data Science |
||
|
DSA1114 |
Data Science and Analytics Workshop |
||
|
DSA1115 |
Advanced Machine Learning |
||
|
Semester II |
DSA1211 |
Big Data Analytics and Visualization |
|
|
DSA1212 |
Computer Vision |
||
|
DSA1213 |
Advanced Data Management & Curation |
||
|
DSA1214 |
Natural Language Processing |
||
|
Elective |
TBA |
||
|
Year II |
|
DSA2121
|
Master’s thesis
|