This course is subject to validation. You can still apply for this course while it is being approved.
London Metropolitan University has participated in the Teaching Excellence Framework.These ratings were awarded in 2023, for four years.
Course summary
This 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.
Modules
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 Management Systems; Financial Modelling and Forecasting; Formal Specification 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
31Jan
This is the deadline for applications to be completed and sent for this course. If the university or college still has places available you can apply after this date, but your application is not guaranteed to be considered.
Application codes
Please select a course option – you will then see the application code you need to use to apply for the course.
Points of entry
The following entry points are available for this course:
- Year 1
Entry requirements
Qualification requirements
UCAS Tariff - 96 points
Student Outcomes
Operated by the Office for Students
Employment after 15 months (Most common jobs)
Go onto work and study
The number of student respondents and response rates can be important in interpreting the data – it is important to note your experience may be different from theirs. This data will be based on the subject area rather than the specific course. Read more about this data on the Discover Uni website.
Fees and funding
Tuition fees
| England | £9250 | Year 1 |
| Northern Ireland | £9250 | Year 1 |
| Scotland | £9250 | Year 1 |
| Wales | £9250 | Year 1 |
| EU | £17600 | Year 1 |
| International | £17600 | Year 1 |
| Channel Islands | £17600 | Year 1 |
| Republic of Ireland | £17600 | Year 1 |
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.
Provider information
London Metropolitan University
Admissions Office
166-220 Holloway Road
City of London
N7 8DB