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
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
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 |
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
Provider information
London Metropolitan University
Admissions Office
166-220 Holloway Road
City of London
N7 8DB