Lead the tech landscape with our hands-on data science course.
Develop in-depth knowledge and hands-on experience with our data science course. You will build a strong foundation in computer science and cover advanced topics like:
- artificial intelligence
- machine learning
- data visualisation
- data analysis.
As a result, you will become a leader in the rapidly evolving tech landscape.
A focus on employability
Our data science degree is hands-on. You will attend:
- lectures from industry guest speakers
- hackathons
- field trips to leading tech organisations and industry partners
- industry conferences
- tech meetups.
Therefore, you will:
- develop a thorough understanding of the industry
- apply skills to real-world scenarios, enhancing skills crucial for success within the field
- grow your network
- become a sought-after graduate.
Cutting-edge facilities
You’ll learn in a dynamic environment and access:
- AI labs
- industry software and platforms
- an E-Sports Arena
- modern computing
- an extensive resource library.
One-to-one support
Our lecturers are dedicated to your personal and professional growth. During your data science degree, you will access their one-to-one support.
We are also:
- 1st in London for ‘Academic Support’ (National Student Survey (NSS), 2023).
- 2nd in London for ‘Teaching on My Course’ (NSS, 2023).
Work placements: build practical experience
You can complete optional industrial placements and internships within data science. As a result, you will stand out after graduation.
Other pathways to choose
We also offer:
Course content
Modules
These modules are the modules that were available to students in the 2023/24 academic year and are illustrative of what may be offered for 2024/25.
Please note: it is possible that a module listed on the website will not be able to run due to reasons beyond our control. For more information please refer to our course information disclaimer.
How the degree is taught
Teaching methods
You'll be taught on our beautiful and historic campus located in Twickenham, London.
undefinedAssessment methods
The programme is aligned with the University’s Teaching and Learning Strategy. You will complete diverse assessments like:
- data science projects
- data case studies
- written assignments
- computer-based tests
- group endeavours
- dissertations
- visual presentations.
Feedback
We adhere to the university’s policy of providing feedback on assessments within 15 working days.
Entry requirements
112 - 128
UCAS points
We understand that sometimes barriers you can't control get in the way of academic achievement. You are more than just your grades. We'll consider your application as a whole, taking into account things like:
- subjects studied at Level 3
- your GCSEs (or equivalent) profile
- non-academic achievements you mention in your personal statement
- your references and motivation.
GCSE
Grade 4/C or above in Maths and English Language or their equivalent.
We offer GCSE equivalency tests for those who need to improve their GCSE grades.
International requirements
International students should check our country-specific pages for equivalents. If English is not your first language you will need to achieve an IELTS score of 6.0 overall with no less than 5.5 in any section (or equivalent).
UCAS Personal statement support
Create your UCAS personal statement through our online builder and we'll email you a copy of your completed version at the end.
Further Information
For more information about entry requirements please email apply@stmarys.ac.uk.
How many UCAS points my grades are worth
A levels
A*
56 pts
A
48 pts
B
40 pts
C
32 pts
D
24 pts
E
16 pts
My qualification isn't listed:
If you can't find your qualification in this list please check the full list of UCAS tariff tables.
Fees & funding
Tuition fees
Home
£9,250
International
£17,100
*Please note: these fees are annual and may increase in line with inflation each year subject to the Government's review of Higher Education Funding.
Information about tuition fees, student loans, and funding your studies can be found within our fees and funding section.
Additional costs
Your tuition fees will cover the cost of all mandatory elements of your programme.
Additional costs could be incurred depending on optional modules chosen and other projects undertaken.
For further information about additional costs please see our additional costs webpage.
Scholarships
Find out more about our range of scholarships and bursaries available to undergraduate students .
Living costs
A guide to your living costs has been created by our Student Funding Team.
Accommodation costs vary depending on whether you opt for an en suite room and on-site catering. Take a look at our accommodation options and the prices you can expect to pay.
Career opportunities
Our data science course will help you build transferrable skills like critical thinking and communication. As a graduate, you can explore diverse and exciting industries, such as:
- technology
- healthcare
- finance
- manufacturing.
Contact our Career Services at careers@stmarys.ac.uk for further information on work and postgraduate opportunities.
Some examples of job roles and areas of work for graduates of Computer Science (Data Science) BSc (Hons) include:
More from St Mary's
Thinking about whether St Mary's is the right place for you? Come and visit it us on campus.
Find out more about the extensive support system available to you at St Mary’s.
Discover the many areas in which our academies are currently researching.
Discover what life is like on our London campus.