Master degree
24 months
Application deadlines: 1 April
Processing time: 30 days
Full-time
Intakes: Fall
Program overview
The HBKU Master of Science program in data science and engineering aims to provide students with a strong foundation in data engineering, big data science, and data analysis. The program integrates the knowledge, expertise, and educational assets of HBKU and its research institutes in data collection, management and analytics, and scalable data-driven knowledge discovery, as well as the fundamental concepts behind these techniques.The program aims to equip students with state-of-the-art methods and theory related to the next generation of big data technology.The program offers its students the option of either completing a research thesis, or working on an industrial project. The thesis requires substantial theoretical and research components while the industrial project offers a route for students to further develop real-world, practical, problem-solving experience. The program includes a core course in leadership and innovation, highlighting an emphasis within the program of producing graduates equipped with the skills and knowledge to take on leading roles within academic, governmental and non-governmental organizations.
Study options
This program can be done
On campus
Requirements
Exams:
- IELTS
- TOEFL iBT
Applicants must have a bachelor’s degree from a recognized institution in any of the following areas: computer science, computer engineering, electronic engineering, electrical engineering, information systems or other related computer science and engineering. Applicants from related disciplines such as other areas of engineering, mathematics and statistics are also eligible to apply. Applicants must have an excellent undergraduate academic record (minimum 3.0 GPA or equivalent) from a recognized institution and demonstrate strong evidence that they possess the qualities to become successful scientists, researchers and innovators.
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