Data Science (including foundation year) at London Metropolitan University - UCAS

Course options

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Course summary

Why study this course Our Data Science (including foundation year) BSc route is the perfect opportunity for you to meet the necessary entry requirements to go on to join our traditional three-year degree course. Once you have completed the foundation year for this course, you'll join the students from our Data Science BSc and begin your three-year undergraduate study. This means that you'll graduate with the same title and award as those who studied the three-year course. More about this course This foundation year will put you well on the way to a career in the fascinating field of data science. Your modules will cover mathematics, programming, an introduction to cyber security and more, leaving you ready to begin undergraduate study. Our Data Science bachelor’s 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. Designed by academics from both Mathematics and Applied Computing backgrounds, this course is made up of fine-tuned modules which are designed with your future in mind. The course will foster your learning development using a range of tools and big data platforms, allowing you to continue to specialise in data engineering, analytics, big data visualisation, statistical modelling and machine learning. The specialist nature of this course will allow you to explore and experience advanced techniques in data science and data analytics. You’ll acquire practical skills, often first-hand from an external organisation, which will prepare you for your future as a data scientist.


Foundation year: Cyber Security Fundamentals; Programming; Introduction to Robotics and Internet of Things; Mathematics First year: Introduction to Information Systems; Fundamentals of Computing; Programming; Logic and Mathematical Techniques; Data Analysis and Financial Maths; Second year: Professional Issues, Ethics and Computer Law; Databases; Data Science for Business; Data Engineering; Programming with Data; Data Analytics; Statistical Methods and Modelling Markets; Third year: Project; Artificial Intelligence and Machine Learning; Big Data and Visualisation; Work-Related Learning; Advanced Database Systems Development; Financial Modelling and Forecasting; Formal Methods and Software Implementation; Cryptography and Number Theory; Academic Independent Study; Ethical Hacking; Artificial Intelligence

Assessment method

You’ll be assessed by a variety of methods throughout your studies. Module assessment typically consists of a combination of assessment methods including: coursework; in-class tests; exams

How to apply

Points of entry

The following entry points are available for this course:

  • Foundation

Entry requirements

Qualification requirements

English language requirements

To study a degree at London Met, you must be able to demonstrate proficiency in the English language. If you require a Tier 4 student visa you may need to provide the results of a Secure English Language Test (SELT) such as Academic IELTS. For more information about English qualifications please see our English language requirements. If you need (or wish) to improve your English before starting your degree, the University offers a Pre-sessional Academic English course to help you build your confidence and reach the level of English you require.

More information about our English language requirements.

Student Outcomes

Operated by the Office for Students

There is no data available for this course. For further information visit the Discover Uni website.

Fees and funding

Tuition fees

England £2310 Module
Northern Ireland £2310 Module
Scotland £2310 Module
Wales £2310 Module
EU £4400 Module
International £4400 Module
Channel Islands £4400 Module
Republic of Ireland £4400 Module

Additional fee information

Please note, in addition to the tuition fee there may be additional costs for things such as equipment, materials, printing, textbooks, trips or professional body fees. Additionally, there may be other activities that are not formally part of your course and not required to complete your course, but which you may find helpful (for example, optional field trips). The costs of these are additional to your tuition fee and the fees set out above and will be notified when the activity is being arranged.
Data Science (including foundation year) at London Metropolitan University - UCAS