MSc in Computational Data Science

About the Program

The Master of Science in Computational Data Science (MSc CODS) combines computer science algorithms and statistical techniques to analyze and understand the information hidden in big data, such as those generated by financial and health services, so as to optimize and grow the various economic sectors, devise strategies and enable leaders to make data-driven decisions. MSc CODS program equips graduates with the knowledge and skills to join data and technology intensive industries, including but not limited to investments and finance, telecommunications, national security, healthcare, energy, manufacturing, and utilities.

Program Educational Objectives

The educational objectives of the M.Sc. in Computational Data Science program are to produce graduates who will be able to:

1. Advance professionally and be recognized as leaders in their chosen areas within the broad field of computational data science.
2. Apply their technical expertise to address the critical needs of society in a creative, ethical, and innovative manner.
3. Further develop their knowledge and skills through graduate education or professional schools.

Learning Outcomes

Students graduating with the M.Sc. in Computational Data Science will be able to:

1. Identify, formulate, and solve computational data science problems through knowledge and understanding of advanced computing and mathematical concepts.
2. Critically evaluate emerging data analysis technologies and assess how they can be applied to different types and amounts of data.
3. Design and program complex computer software for various computational data science applications using state-of-the-art tools and techniques.
4. Conduct research and document and defend the research results.
5. Function in teams and communicate effectively.
6. Conduct themselves in a professional and ethical manner

• Program Structure and Requirements
• Study Plan