- 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 the programme facts currently available from the university record. For the latest curriculum, entry requirements, fees, or intake dates, fill in the enquiry form on this page and the university can answer your questions.
- 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. If you need to check live sessions, placements, examinations, or campus visits, send an enquiry through the form on this page and University of London can clarify.
Expected workload
The current public programme record does not state a weekly workload or study schedule. Send your question through the enquiry form on this page and University of London can respond with the latest programme-specific information.
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. Send your question through the enquiry form on this page and University of London can respond with the latest programme-specific information.
How to apply
Start date October 2026 - application deadline closes 9 September 2026
Documents you may need
- Use the enquiry form on this page for the programme-specific application checklist; University of London can respond with the current requirements.
- In your enquiry, include any questions about academic transcripts, identity evidence, language evidence, references, or a personal statement.
Admissions information last checked phone details available through the enquiry form.
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 phone details available through the enquiry form.
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.
- Send a question through the enquiry form on this page and University of London can clarify the official learning outcomes and any professional competencies.
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
- Use the enquiry form on this page to ask about progression to further study, research, or professional accreditation. University of London can respond with programme-specific guidance.