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We are excited to announce that registration is officially open for our Postgraduate and Under Graduate Program!
Master of Science in Data Science
Course break down
YEAR I SEMESTER I
|
COURSE CODE |
COURSE TITLE |
CREDIT HOURS |
|
CIMDS51101 |
Research Methodology |
3 |
|
CIMDS51102 |
Mathematics for Data Science |
3 |
|
CIMDS51103 |
Statistics for Data Science |
3 |
|
CIMDS51104 |
Fundamentals of Data Science |
3 |
|
|
Total Credit hours for year I SI |
12 |
YEAR I SEMESTER II
|
COURSE CODE |
COURSE TITLE |
CREDIT HOURS |
|
CIMDS51205 |
Fundamentals of Machine Learning |
3 |
|
CIMDS51206 |
Natural Language Processing |
3 |
|
CIMDS51207 |
Exploratory Data Analysis and Visualization |
3 |
|
CIMDS51208 |
Introduction to Big Data |
3 |
|
CIMDS51209 |
Capstone Project Development |
2 |
|
|
Total |
14 |
YEAR II SEMESTER I
|
COURSE CODE |
COURSE TITLE |
CREDIT HOURS |
|
CIMDS62110 |
Data management Policy |
2 |
|
CIMDS62111 |
Advanced Modeling Techniques |
3 |
|
CIMDS62112/ 62113 |
Elective I |
2 |
|
|
Total |
7 |
YEAR II SEMESTER II
|
COURSE CODE |
COURSE TITLE |
CREDIT HOURS |
|
DTTP7002 |
Development Team Training Program (DTTP) |
3 |
|
CIMDS62214/ 62215 |
Thesis/Project |
6 |
|
|
Total |
9 |
Total course credit hours- 42