Course Details

BSc (Hons) Data Science (including foundation year)

This four-year degree course is designed for students who wish to pursue a career in Data Science but do not currently meet the standard entry requirements for a traditional three-year degree. The

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Start Date

Contact for Details

Duration

4 years

Campus

London

Tuition Fee

£9,790 per year (UK home)

Study Mode

Full-time, Part-time

Fee information

The tuition fee for UK home students is £9,790 per year for full-time study. Tuition fees for subsequent years may be subject to inflationary increases by the UK government. The university reserves the right to increase the tuition fees in line with changes to legislation, regulation and any government guidance or decisions. More information on the latest fee can be found on the institution website.

Structure

Course Structure

Foundation Year

Cyber Security Fundamentals
30 credits
Introduction to Robotics and Internet of Things
30 credits
Mathematics
30 credits
Programming
30 credits

Year 1

Data Analysis
15 credits
Financial Mathematics
15 credits
Fundamentals of Computing
15 credits
Introduction to Information Systems
15 credits
Logic and Mathematical Techniques
30 credits
Programming
30 credits

Year 2

Data Analytics
15 credits
Data Engineering
15 credits
Databases
15 credits
Professional and Ethical Issues
15 credits
Programming with Data
15 credits
Smart Data Discovery
15 credits
Statistical Methods and Modelling Markets
30 credits

Year 3

Artificial Intelligence and Machine Learning
15 credits
Career Development Learning
15 credits
Data and Web Development
30 credits
Project
30 credits
Artificial Intelligence and Big Data in Business
15 credits
Big Data and Visualisation
15 credits
Cryptography and Number Theory
15 credits
Project Analysis and Practice
15 credits

Requirements

Entry Requirements

Learn about our mission to make higher education accessible and empowering for every

Academic Requirements

At least one A level (or a minimum of 32 UCAS points from an equivalent Level 3 qualification, eg BTEC Subsidiary/National/BTEC Extended Diploma) English Language and Mathematics GCSEs at grade C/4 or above (or equivalent, eg Functional Skills at Level 2)

English Language Requirements

GCSE: Grade C/4 or above (or equivalent, eg Functional Skills at Level 2)

FAQs

Frequently Asked Questions

What career options are available for me after completing Data Science from London Metropolitan University?

Graduates are prepared for roles such as Junior Data Scientist, Data Science Operational Officer, or Associate Data Analyst, with opportunities to work in sectors like data analytics, big data solution design, and IT consultancy.

How is this course assessed?

Assessment includes a mix of coursework, in-class tests, and exams. The foundation year uses continuous assessment, including online quizzes, lab-based tests, and assignments to provide ongoing feedback.

Does London Metropolitan University provide employability services?

The institution provides career development support, including modules focused on professional skills and opportunities to engage with industry-relevant projects and networking.

Does London Metropolitan University offer placements and/or internships?

The course includes a Career Development Learning module at level 6, which encourages students to undertake professional activities, including work-based placements, volunteering, or business projects.

What makes Data Science at London Metropolitan University different from similar courses?

This course offers a dedicated foundation year (Year 0) specifically designed to bridge the gap for students who do not meet the standard entry requirements, ensuring they graduate with the same degree title as the three-year programme.

Will Data Science help build practical skills?

Yes, the course is highly practical, incorporating laboratory experiments, workshop-based exercises, and the use of industry-standard software tools like Python, SQL Server, and Hadoop throughout the four years.

What will the learning experience look like on Data Science at London Metropolitan University?

Students benefit from a blend of formal lectures, seminars, and hands-on laboratory practice. Resources include the virtual learning environment WebLearn, online databases, and e-books.

What should a prospective student know before applying to Data Science at London Metropolitan University?

Prospective students should ensure they meet the entry requirements, including GCSE Maths and English at grade C/4 or above. Applicants are encouraged to apply early via UCAS for full-time study.

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BSc (Hons) Data Science (including foundation year) | ZSOS