Study Plan and Course Descriptions
- The Master’s program in Data Science consists of 12 courses, each with a credit load of three credit hours, distributed over four semesters.
- The medium of instruction in the program is English.
| Course code | Course Name | Credit Hours | Prerequisites |
|---|---|---|---|
| First academic year (first semester) | |||
| CS501 | Research Methods in Computational Studies | 3 | - |
| DS540 | Advanced Python for Data Science | 3 | - |
| DS510 | Statistics for Data Science | 3 | - |
| First academic year (second semester) | |||
| DS560 | Advanced Data Mining | 3 | - |
| DS520 | Big Data Processing and Analytics | 3 | DS510; DS540 |
| DS630 | Artificial Intelligence for Data Science | 3 | DS540 |
| Second academic year (third semester) | |||
| DS550 | Machine Learning Algorithms for Data Science | 3 | DS630; DS520 |
| DS610 | Advanced Applied Statistics for Data Science | 3 | DS510 |
| DS620 | Data Visualization | 3 | DS560 |
| Second academic year (fourth semester) | |||
| DS660 | Deep Learning Techniques | 3 | DS630 |
| DS650 | Predictive Analytics for Business | 3 | DS610;DS560 |
| DS698 | Capstone Project in Data Science | 3 | Department Approval |
