Data Science at London Metropolitan University
Data Science is a BSc at London Metropolitan University in City of London, United Kingdom. It is classified under computer science, and the source record does not state the language of instruction.
Official catalogue coverage. Discover Uni dataset (HESA, CC BY 4.0) identifies this programme or award field and supplies the catalogue facts shown here. Fees, deadlines and admissions criteria remain clearly marked as unavailable until Anyroll verifies them against a programme-specific provider page.
Data Science at London Metropolitan University: key facts
About Data Science at London Metropolitan University
This Data Science BSc course offers a comprehensive introduction to the most important areas of the discipline, including data programming, statistical modelling, business intelligence, machine learning and data visualisation. Developed with input from industry experts, this course covers all the necessary skills and competencies required to delve deeper into this fascinating field.
From the course page at londonmet.ac.uk, read 19 Aug 2026
Data Science is a BSc at London Metropolitan University in City of London, United Kingdom. It is classified under computer science, and the source record does not state the language of instruction.
The recorded study mode is onsite.
No audience-qualified tuition amount has passed the publication checks yet. The application deadline is set per intake on the university's own page; Anyroll does not roll an old date into a new cycle.
Data Science programme structure
Data Analysis Financial Mathematics Fundamentals of Computing Introduction to Information Systems Logic and Mathematical Techniques Programming Year 2 modules Data Analytics Data Engineering Databases Professional and Ethical Issues
Verified from the official londonmet.ac.uk source, read 19 Aug 2026.
Career outcomes after Data Science
This module currently runs: spring semester - Wednesday afternoon autumn semester - Wednesday afternoon (core, 15 credits) The module enables students to undertake an appropriate, short professional activity related to their course at level 6 with a business or community organisation and to gain credit for their achievements. The activity can be professional training or certification, a volunteering activity, employment through internal or external work-based placements, research-related activities, business start-up projects, entrepreneurship programs and more. Please see the complete list of accepted activities on WebLearn. Students are expected to engage in any one or combination of career development learning activities for a total of ~70 hours which should be recorded clearly in a tri-weekly learning log - part of the portfolio. The ~70 hours can be completed in ~30 working days in FT mode or spread over a semester in PT mode.
Verified from the official londonmet.ac.uk source, read 19 Aug 2026.
What to check before applying to Data Science
Use the official curriculum to confirm compulsory modules, placement requirements and the expected weekly load.
Data Science entry requirements and frequently asked questions
What qualification does Data Science award?
Data Science is listed in the linked official catalogue as a BSc programme at London Metropolitan University. The provider remains the authority for current course details.
Where can I verify the facts about Data Science?
The programme identity and catalogue facts link to the official registry record Anyroll imported. Provider-specific fees, dates and requirements are not presented as verified until their own source evidence passes review.
Topics
Data Science entry requirements and costs
Not published in our verified sources
- BSc
- Full-time
- 3 stages · full-time
- Confirm the intake is open and that the page applies to your nationality and qualification.
- Save the source page and the confirmation generated by the application system.
Browse this programme in context
Related programmes
London Metropolitan University
City of London, United Kingdom
University-level details are shown once here. Programme-specific fees, deadlines and entry requirements remain in the Programme tab above.