Online and hybrid programme
MSc Data Science
University of London
- Degree type
- Master
- Delivery
- Online
- Language
- English
- Location
- London, United Kingdom
About this programme
MSc Data Science is a master programme from University of London in Data science. It is listed for online study. The official programme source describes it as: Learn how to apply technology to real world data science problems and gain an in depth understanding of statistical analysis and computational techniques..
Programme information
We publish only the programme facts currently available from the university record. Ask the university for the latest curriculum, entry requirements, fees and intake dates.
- Subject area: Data science
- Study mode: Online
- Teaching language: English
What studying is like
Teaching format
Published delivery mode: online. Teaching language in the current record: English. Confirm whether any live sessions, placements, examinations, or campus visits are required.
Expected workload
The current public programme record does not state a weekly workload or study schedule. Ask University of London for the latest programme-specific information before applying.
Admissions
Entry requirements
Entry routes We offer two entry routes into the degrees, so if you do not meet the academic requirements, you may still be eligible to apply through an alternative route. Entry Route One (MSc/PGDip/PGCert) and individual modules To be eligible to register for any of the Data Science degrees, you must have the following: A bachelor’s degree (or an acceptable equivalent) in a relevant subject which is considered at…
Application dates
The current public programme record does not state application deadlines or the next intake date. Ask University of London for the latest programme-specific information before applying.
How to apply
Start date October 2026 - application deadline closes 9 September 2026
Documents you may need
- Request the programme-specific application checklist from University of London.
- Confirm whether academic transcripts, identity evidence, language evidence, references, or a personal statement are required.
Admissions information last checked 2026-07-24.
Fees & funding
Tuition and fees
The fee depends on two factors: Whether you choose web-supported or Recognised Teaching Centre supported learning. Whether you live in a developing (Band A) or developed (Band B) nation.
Scholarships and financial support
Without the cost of moving to London, studying for your University of London degree anywhere in the world represents excellent value for money. However, there are additional sources of support depending on where you live and how you choose to study.
Fees and funding can change by nationality, residency, study load and academic year. Confirm the amount and eligibility before applying.
Funding guidance last checked 2026-07-24.
Curriculum & assessment
Programme modules
- Primary subject area: Data science.
- The degree is available to be studied as a full master’s degree, a Postgraduate Diploma (PGDip) or a Postgraduate Certificate (PGCert). Individual modules: There is provision for individual modules to be studied and assessed on a stand-alone basis without being registered for a related qualification.
How you may be assessed
Each module includes a mix of assessments. During your study period you will undertake formative assessments, which help you to measure your progress but do not count towards your grade, and summative assessments.
Skills & outcomes
What you will learn
- Build programme-level knowledge in Data science.
- Confirm the official learning outcomes and any professional competencies with University of London.
Career directions
- Managing and analysing big data has become an essential part of modern finance, retail, marketing, social science, development and research, medicine and government. Our flexible degree addresses the skills shortage of data scientists who can use data to drive improvements to organisational performance.
Further study
- Ask University of London whether this award supports progression to further study, research, or professional accreditation.