Kingston University London - Data Science MSc

Kingston University London

Data Science MSc

Data Science is one of the most rapidly expanding areas of employment globally, due to rapid and ongoing developments in computer systems and data gathering. Large data sets are widespread in business, science, and government. This course builds on the established strengths of the Mathematics and Computer Science programs at Kingston and develops a multidisciplinary approach to the computational analysis of data. There is an increasing demand for data-savvy professionals, both in industry and in research, who can make sense of complex datasets, build models and apply them to the solution of relevant problems. You will get the opportunity to develop your skills in a way that will prepare you for careers in this fast-growing and exciting area.

Reasons to choose Kingston University

  • This course aligns with a thriving area of applied machine learning research, giving opportunities for exposure to plenty of cutting-edge examples and exercises.
  • This course has flexible entry points and has been designed for a variety of disciplines and backgrounds.
  • Like many MSc courses in the School of Computer Science and Mathematics, Data Science benefits from a diverse community of learners. You will study in week-long blocks that can fit around different work/study patterns.

Entry Requirements

  • A 2.1 or above honorsrs degree in a subject with relevant computing science and mathematics/statistics content. Typical appropriate first-degree subjects would include computer science (including software engineering or cyber security), mathematics, statistics, and some engineering courses.

  • IELTS academic test in English with an


    overall score of 6.5,




    no element below 6.0

Career Prospects

career opportunities after completing Data Science MSc

  • Medical Professionals (Doctors & Surgeons)
  • Data Scientist.
  • Machine Learning Experts.
  • Blockchain Developer.
  • Full Stack Software Developer.
  • Product Management.
  • Management Consultant.

Course Details

The programme is made up of four modules each worth 30 credit points plus an individual project worth 60 credits. The optional Professional Placement can be undertaken following completion of the other modules. The optional Professional Placement taken during an additional year will give 120 credits.


Databases and Data Management
Data Analytics and Visualisation
Applied Data Programming
Machine Learning and Artificial Intelligence
Project Dissertation
Professional Placement

*The information’s are correct at the time of publishing, however it may change if university makes any changes after we have published the information. While we try our best to provide correct information, It is advisable to call us or visit university website for up to date information.

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