Master’s Program in Data Science is one of the leading academic programs offered by the Department of Information Systems at the College of Computing and Information Technology. The program aims to equip specialists with advanced knowledge and skills to analyze big data and utilize machine learning and artificial intelligence techniques to solve real-world problems. It also emphasizes fostering innovation and conducting cutting-edge research that contributes to community service and addressing local challenges.
The program offers a comprehensive educational environment that combines theoretical and practical aspects, helping students enhance their research and self-learning skills. It places a strong emphasis on data ethics, including privacy, security, and fairness, ensuring that graduates are well-prepared to contribute effectively to the job market and community development.
Mission
Equip graduates with advanced data science knowledge and skills for tackling real-world problems, conducting cutting-edge research, fostering innovation, promoting self-learning, and engaging in community service.
Objectives
Provide students with skills in big data analysis, machine learning, and artificial intelligence.
Enhance students' research and innovation skills in data science, promote self-learning and community service with applied research focused on local concerns.
Foster effective communication and collaboration with multidisciplinary professionals, integrating data-driven insights to devise innovative solutions.
Uphold privacy, security, and fairness and ensure responsible handling of data.
Study Plan
The study plan of the information systems program is distributed over 4 years (8 levels) including a variety of courses covering fundamental and advanced topics in the information systems field. To view the study plan, click here.
Graduation Requirements
The Master’s Program in Data Science offers two study tracks to cater to students' diverse needs: Coursework Track and Coursework & Thesis Track. Below are the graduation requirements for each track:
1. Coursework Track:
This track requires the completion of 33 credit hours distributed as follows:
| Requirement Type | Required/Elective | Number of Courses | Credit Hours |
|---|---|---|---|
| Coursework | Required | 7 | 21 |
| Coursework | Elective | 2 | 6 |
| Graduation Project (if any) | 2 | 6 | |
| Thesis (if any) | 0 | 0 | |
| Field Experience (if any) | 0 | 0 | |
| Others (.....) | 0 | 0 | |
| Total | 11 | 33 |
2. Coursework & Thesis Track:
This track requires the completion of 30 credit hours distributed as follows:
| Requirement Type | Required/Elective | Number of Courses | Credit Hours |
|---|---|---|---|
| Coursework | Required | 7 | 21 |
| Coursework | Elective | 1 | 3 |
| Graduation Project (if any) | 0 | 0 | |
| Thesis (if any) | 1 | 6 | |
| Field Experience (if any) | 0 | 0 | |
| Others (.....) | 0 | 0 | |
| Total | 9 | 30 |
Students in both tracks must successfully complete all courses outlined in the approved study plan with a minimum cumulative GPA as per the graduation requirements.