Master of Science in Data Science and Engineering

First Year – First Semester

DATA601 – Research Methods and Ethics – 3 Credit Hours
DATA602 – Statistics for Science and Engineering – 3 Credit Hours
DATA603 – Advanced Data Management Systems – 3 Credit Hours
DATA604 – Applied Data Analytics – 3 Credit Hours

First Year – Second Semester

DATA611 – Elective Course I – 3 Credit Hours
DATA612 – Elective Course II – 3 Credit Hours
DATA613 – Graduate Research Seminar – 1 Credit Hour
DATA614 – Machine Learning (Recommended Elective) – 3 Credit Hours

Second Year – First Semester

DATA701 – Elective Course III – 3 Credit Hours
DATA702 – Elective Course IV – 3 Credit Hours
DATA703 – Graduate Research Seminar – 1 Credit Hour
DATA704 – Research Thesis / Industrial Project I – 3 Credit Hours

Second Year – Second Semester

DATA711 – Research Thesis – 6 Credit Hours
or
DATA712 – Industrial Project – 3 Credit Hours

Program Overview

The program consists of 33 credit hours taught in English and is typically completed over two years. The curriculum includes core courses that provide students from diverse academic backgrounds with a coherent learning environment to address challenges in data science and engineering.

Students complete four elective courses covering engineering and science fundamentals, along with advanced topics in data science and engineering. The program also includes graduate research seminars featuring presentations and invited talks from industry, academia, research institutes, and government organizations.

The program offers flexibility by allowing students to focus on specialized areas related to data science and engineering, including data collection, storage, management, analysis, knowledge extraction, and discovery.