Got a uni question? Find your answer now on The Student Room.

Richmond American University London

UCAS Code: MD01 | Bachelor of Science (with Honours) - BSc (Hons)

Entry requirements

A level

B,B,C

Or international equivalent. Please see our website further information.

UCAS Tariff

112

We've calculated how many Ucas points you'll need for this course.

About this course

Course option

4years

Full-time | 2025

**UK students can fast-track the degree: complete the UK/US four-year degree in three years.**
Richmond is the only UK university with US-based degree programmes, which typically take four years to complete. However, students can now finish in three years using A Levels or equivalent qualifications to fast-track their degree. For example, UK A Levels grades BBC-BBB and above (depending on your programme of interest) count as credits for the first year. Upon graduation students will receive a UK and US degree award.

**About the BSc (Hons) Mathematics and Data Science Degree programme - Unlock the power of data in a connected world!**

Today’s world is driven by data—from predicting climate change and optimizing healthcare to shaping financial markets and advancing artificial intelligence. Our BSc (Hons) Mathematics and Data Science programme equips you with the mathematical rigor and data science skills needed to tackle complex problems and drive innovation across industries. With a curriculum grounded in liberal arts, this degree fosters not only technical expertise but also critical thinking, adaptability, and ethical awareness.

**Why Study BSc Mathematics and Data Science at Richmond?**
**- Liberal Arts Framework for Holistic Learning:**Our multidisciplinary curriculum encourages you to look beyond numbers, enhancing your problem-solving and collaborative skills while preparing you for diverse career paths.
**- London as Your Classroom:** Located in one of the world’s leading tech and financial hubs, you’ll learn how to apply math and data science in real-world contexts, benefiting from a global perspective and strong industry connections.
**- Internship Opportunities with Top Employers:**Gain invaluable experience and build your professional network through internships that count toward your degree, connecting you to career opportunities across tech, finance, healthcare, and more.
**- Focus on Ethical and Sustainable Computing:** We prioritize responsible innovation, teaching you to develop technologies that are both green and ethical, empowering you to make a positive impact.
**- Hands-On Experience in Technical Labs:** Work with tools and platforms such as MongoDB, MySQL, and VS Code in our advanced IT labs, acquiring skills that are immediately applicable and highly valued by employers.

**Career Opportunities**

Graduates from this programme are uniquely equipped for high-demand roles in a variety of industries, including:

**Data Scientist:** Analyze and interpret complex data, creating actionable insights that drive strategy and decision-making for businesses or organizations.
**Quantitative Analyst (Quant):** Apply advanced mathematical and statistical models to finance, working with banks, hedge funds, or investment firms to predict trends and manage risks.
**Machine Learning Engineer:** Develop and implement machine learning algorithms that enable predictive analytics and artificial intelligence applications across industries.
**Biostatistician:** Use data to understand biological patterns, helping to advance medical research and the pharmaceutical industry.
**Risk Analyst:** Evaluate potential risks for organizations, ensuring they make informed, data-driven decisions to protect against financial or operational threats.
**Database Administrator:** Design, implement, and maintain data storage solutions that are critical for managing information securely and efficiently.

For students passionate about deeper research or academia, this degree also provides a strong foundation for master’s and doctoral studies in mathematics, data science, and related fields.

**Join us at Richmond and start your journey to a data-driven future!**

Tuition fees

Select where you currently live to see what you'll pay:

Channel Islands
£9,250
per year
England
£9,250
per year
EU
£17,500
per year
International
£17,500
per year
Northern Ireland
£9,250
per year
Republic of Ireland
£9,250
per year
Scotland
£9,250
per year
Wales
£9,250
per year

The Uni

Course location:

Chiswick Park Campus

Department:

Science, Innovation and Technology

Read full university profile

What students say

Sorry, no information to show

This is usually because there were too few respondents in the data we receive to be able to provide results about the subject at this university.

After graduation

Sorry, no information to show

This is usually because there were too few respondents in the data we receive to be able to provide results about the subject at this university.

This is what the university has told Ucas about the criteria they expect applicants to satisfy; some may be compulsory, others may be preferable.

Have a question about this info? Learn more here

This is the percentage of applicants to this course who received an offer last year, through Ucas.

Have a question about this info? Learn more here

This is what the university has told Ucas about the course. Use it to get a quick idea about what makes it unique compared to similar courses, elsewhere.

Have a question about this info? Learn more here

Course location and department:

This is what the university has told Ucas about the course. Use it to get a quick idea about what makes it unique compared to similar courses, elsewhere.

Have a question about this info? Learn more here

Teaching Excellence Framework (TEF):

We've received this information from the Department for Education, via Ucas. This is how the university as a whole has been rated for its quality of teaching: gold silver or bronze. Note, not all universities have taken part in the TEF.

Have a question about this info? Learn more here

This information comes from the National Student Survey, an annual student survey of final-year students. You can use this to see how satisfied students studying this subject area at this university, are (not the individual course).

This is the percentage of final-year students at this university who were "definitely" or "mostly" satisfied with their course. We've analysed this figure against other universities so you can see whether this is high, medium or low.

Have a question about this info? Learn more here

This information is from the Higher Education Statistics Agency (HESA), for undergraduate students only.

You can use this to get an idea of who you might share a lecture with and how they progressed in this subject, here. It's also worth comparing typical A-level subjects and grades students achieved with the current course entry requirements; similarities or differences here could indicate how flexible (or not) a university might be.

Have a question about this info? Learn more here

Post-six month graduation stats:

This is from the Destinations of Leavers from Higher Education Survey, based on responses from graduates who studied the same subject area here.

It offers a snapshot of what grads went on to do six months later, what they were earning on average, and whether they felt their degree helped them obtain a 'graduate role'. We calculate a mean rating to indicate if this is high, medium or low compared to other universities.

Have a question about this info? Learn more here

Graduate field commentary:

The Higher Education Careers Services Unit have provided some further context for all graduates in this subject area, including details that numbers alone might not show

Have a question about this info? Learn more here

The Longitudinal Educational Outcomes dataset combines HRMC earnings data with student records from the Higher Education Statistics Agency.

While there are lots of factors at play when it comes to your future earnings, use this as a rough timeline of what graduates in this subject area were earning on average one, three and five years later. Can you see a steady increase in salary, or did grads need some experience under their belt before seeing a nice bump up in their pay packet?

Have a question about this info? Learn more here