Deficiency Courses
| Course Code | Course Title | Credit Hours |
| MA150 |
Probability & Statistics |
3 |
| CC1021 |
Programming Fundamentals |
3+1 |
| DS2136 |
Introduction to Data Science |
3 |
| CS458 |
Data Mining |
3 |
| CS446 |
Machine Learning |
3 |
| DS3136 |
Big Data Analytics |
3 |
| DS3139 |
Data Visualization |
3 |
| CS474 |
Data Warehousing and Business Intelligence |
3 |
| CS4152 |
Deep Learning |
3 |
Minimum Degree Completion Requirements
Total Credit Hours = 56 (Course Work = 20 Credit Hours, Thesis = 36 Credit Hours)
List of Courses (18 Credit Hours)
| # | Course Code | Title | Credit Hours | Level |
| 1 |
DS799 |
Statistical and Mathematical Methods For Data Science |
3 |
7 |
| 2 |
DS811 |
Statistical Machine Learning |
3 |
8 |
| 3 |
DS817 |
Statistical Computing and Optimization |
3 |
8 |
| 4 |
DS812 |
Topics in Data Analytics and Business Intelligence |
3 |
8 |
| 5 |
DS791 |
Advanced Big Data Analytics |
3 |
7 |
| 6 |
ITC711 |
Understanding of Quran I |
1 |
7 |
| 7 |
DS794 |
Data Management & Visualization |
3 |
7 |
| 8 |
DS731 |
Advanced Database Systems |
3 |
7 |
| 9 |
DS798 |
Topics in Information Retrieval |
3 |
7 |
| 10 |
DS814 |
Applied Multivariate Data Analysis |
3 |
8 |
| 11 |
ITC722 |
Understanding of Quran II |
1 |
7 |
| 12 |
CS794 |
Frontiers in Machine Learning |
3 |
7 |
| 13 |
DS795 |
Data Analytics and Warehousing |
3 |
7 |
| 14 |
DS792 |
Topics in Data Science |
3 |
7 |
| 15 |
DS793 |
Research Trends in Data Mining |
3 |
7 |
| 16 |
DS857 |
Theory, Performance Analysis and Applications of Neural Networks |
3 |
8 |
| 17 |
DS826 |
Qualitative Research Methods and Techniques |
3 |
8 |
| 18 |
DS816 |
Semantic Web |
3 |
8 |
| 19 |
CS899 |
Thesis |
36 |
8 |