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Computer Science (Data Science) BSc (Hons)

Start date

September

UCAS code

G406

Duration

3 years full-time or 6 years part-time

UCAS points

112 - 128

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The Times and Sunday Times Good University Guide 2023: Top 10 for Student ExperienceThe Times and Sunday Times Good University Guide 2023: Top 5 for Teaching Quality

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:

Prins-Butt

Prins Butt

Subject Lead - Computer Science BSc

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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.

Computer systems and networks

Mathematics for computer science

Programming principles and techniques

Database systems

Object-oriented programming

Web design and development

Entry requirements

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.

112 - 128

UCAS points

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.

How the degree is taught

Contact time - 70%

Independent study - 30%

*Contact time includes 50% of guided learning

Teaching methods

You'll be taught on our beautiful and historic campus located in Twickenham, London.

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Assessment 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.

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:

Business intelligence analystData scientistStatisticianPredictive modellerData architectMachine learning engineer

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Open Days

Open Days are a fantastic opportunity for you to meet academic staff. You'll also be able to look around the campus, speak to current students and find out more about services such as Accommodation and Student Wellbeing.