MSc Data Science

Course Overview

The MSc Data Science has grown as a strong postgraduate option within Kingston’s Mathematics and Computer Science departments. Its accreditation and structured approach give students both theoretical and applied knowledge, making them competitive in global industries. Over the years, the programme has expanded its teaching methods to include industry-linked projects and modern machine-learning frameworks.

Graduates move into roles in finance, healthcare, technology, and public services worldwide. The mix of UK and international students adds depth to group projects and builds strong networks. Kingston’s proximity to London provides access to conferences, industry events, and employer links, giving students further opportunities beyond the classroom. The conversion pathway has broadened the reach of the programme, opening the field to students from non-technical backgrounds. This combination of academic excellence, professional recognition, and practical training continues to make the course a valuable choice for career progression in data science.

General Eligibility

• A 2:2 or above honours degree in computing, mathematics, statistics, or a related subject.

• Applicants from other fields may join the conversion MSc after completing a two-week pre-sessional boot camp.

• Scholarships available: progression awards for Kingston graduates (15% tuition reduction), merit-based international scholarships, and subject-specific bursaries.

• Applications are submitted online with academic transcripts, references, and proof of English proficiency.

Part Time Work Details

International students may work up to 20 hours per week during term time and full-time during official breaks under UK visa rules

Language Requirement

• • IELTS Academic: 6.5 overall

  • TOEFL iBT: 88

  • PTE Academic: 59–67

  • Duolingo English Test: 120