We use cookies to allow us and selected partners to improve your experience and our advertising. By continuing to browse you consent to our use of cookies. You can understand more and change your cookies preferences here.

Aberystwyth University

Data Science (with integrated year in industry)

UCAS Code: 7G74

Bachelor of Science (with Honours) - BSc (Hons)

Entry requirements


A level

B,B,B

With B in Mathematics.

Pass in Access qualification in a relevant subject with Merit in 50% of units at level 3.

International Baccalaureate Diploma Programme

28-30

With 5 points in Mathematics at Higher Level.

Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016)

DMM-DDM

With B in A level Mathematics.

UCAS Tariff

120

With B in Mathematics.

Aberystwyth University welcomes the Welsh Baccalaureate as a valuable qualification in its own right and considers completion of the Welsh Baccalaureate Advanced Skills Challenge Certificate to be equivalent to an A level grade.

100%
Applicants receiving offers

About this course


Course option

4years

Sandwich including industrial placement | 2019

Subjects

Computer science

Mathematics

Data Science is an exciting new discipline where Computing and Mathematics meet, and graduates with Data Science skills are in great demand. It addresses how we can make sense of the terabytes of information that our computers collect every day. It can be used to predict what people will want to buy, or where we need to put more money into the National Health Service to make it more effective, or the best ways of tackling global warming. Demand is growing rapidly for people who can use computers to analyse and make sense of the data that is now available.

A degree in Data Science is an ideal start to working in this area. Data Science at Aberystwyth University is jointly taught by the Computer Science Department and the Department of Mathematics and gives you a strong grounding in the underlying theory of Data Science as well as the practical skills to be able to apply that theory in real-world data analytics. Data Science provides both the underlying mathematical understanding and the practical computing skills needed to be able to design and carry out analysis of large sets of data and to draw implications from the results.

A Data Scientist needs both mathematical and computing skills so you will divide your time between the two subjects. In the first year, you will be introduced to programming, operating systems, and software development. Students participate in the Software Development Lifecycle module which includes a group project where, taking one of the roles which exist in industry, such as project manager, designer, or quality assurance manager, you will produce a working software product. All this experience is brought together in the final year in a major individual project which should apply all the knowledge of realistic data analysis. You have a fantastic opportunity to take a year out between your second and third year to work in an organisation in the UK or overseas. By the end of your second year, you already have enough knowledge and understanding to make a substantial contribution at work. Most students find they return from their industrial year with much-improved skills, more motivated to learn, and having a better idea of what areas of computing interest them. Industrial year employers are diverse and worldwide, including CERN, Walt Disney and GCHQ.

Studying for a degree with us will equip you with a range of transferable skills which are highly valued by employers. Employability skills are a recurring theme during your degree. Our departmental link careers adviser works closely with us to ensure you have appropriate CV and interview skills training, careers education, and visits from employers and recent graduates to let you know what opportunities await after graduation. The final year project demonstrates your ability to work independently (under supervision), and brings together your technical skills with your knowledge of statistics, applying data science to a practical problem. Finally, you'll also need to describe your work in a final written dissertation report that presents your achievements in a professional manner.

Almost all companies examine the data that their customers provide, and to use it either to improve services or for marketing purposes. It involves finding and interpreting patterns in Big Data and needs an excellent understanding of statistics and good computing skills. The shortage of skilled Data Scientists means that graduates in this area are expected to be in great demand over the next few years - one study estimates that around 200,000 Data Scientists will be needed. Data Science gives an excellent experience of both the Statistics and the Computer Science needed by Data Scientists.

Tuition fees

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

Channel Islands
£9,000
per year
England
£9,000
per year
EU
£9,000
per year
International
£15,200
per year
Northern Ireland
£9,000
per year
Scotland
£9,000
per year
Wales
£9,000
per year

Extra funding

Aberystwyth University offers a valuable package of scholarships and bursaries to support students. Our long-established Entrance Scholarship competition means you could get up to £2,000 a year towards your living and study costs. You can combine an Entrance Scholarship with any or all of our other awards, to make your financial package more valuable. Our awards include the Academic Excellence Studentship, Means-Tested Aberystwyth Bursary, Sport and Music Scholarships, Bursaries for Care Leavers/Young Carers and a range of department specific awards. Please visit our website for full details.

The Uni


Course location:

Main Site (Aberystwyth)

Department:

Department of Computer Science

TEF rating:

Calculate your living costs

See how much you'll need to live on at your chosen university, with our student budget calculator.

See your living costs
Read full university profile

What students say


We've crunched the numbers to see if overall student satisfaction here is high, medium or low compared to students studying this subject(s) at other universities.

78%
med
Computer science
95%
high
Mathematics

How do students rate their degree experience?

The stats below relate to the general subject area/s at this university, not this specific course. We show this where there isn’t enough data about the course, or where this is the most detailed info available to us.

Computer science

Teaching and learning

78%
Staff make the subject interesting
85%
Staff are good at explaining things
88%
Ideas and concepts are explored in-depth
86%
Opportunities to apply what I've learned

Assessment and feedback

Feedback on work has been timely
Feedback on work has been helpful
Staff are contactable when needed
Good advice available when making study choices

Resources and organisation

92%
Library resources
83%
IT resources
93%
Course specific equipment and facilities
83%
Course is well organised and has run smoothly

Student voice

Staff value students' opinions

Who studies this subject and how do they get on?

80%
UK students
20%
International students
87%
Male students
13%
Female students
59%
2:1 or above
13%
Drop out rate

Most popular A-Levels studied (and grade achieved)

D
C
C

Mathematics

Teaching and learning

98%
Staff make the subject interesting
100%
Staff are good at explaining things
95%
Ideas and concepts are explored in-depth
83%
Opportunities to apply what I've learned

Assessment and feedback

Feedback on work has been timely
Feedback on work has been helpful
Staff are contactable when needed
Good advice available when making study choices

Resources and organisation

96%
Library resources
96%
IT resources
98%
Course specific equipment and facilities
97%
Course is well organised and has run smoothly

Student voice

Staff value students' opinions

Who studies this subject and how do they get on?

88%
UK students
12%
International students
55%
Male students
45%
Female students
63%
2:1 or above
13%
Drop out rate

Most popular A-Levels studied (and grade achieved)

B
B
D

After graduation


The stats in this section relate to the general subject area/s at this university – not this specific course. We show this where there isn't enough data about the course, or where this is the most detailed info available to us.

Computer science

What are graduates doing after six months?

This is what graduates told us they were doing (and earning), shortly after completing their course. We've crunched the numbers to show you if these immediate prospects are high, medium or low, compared to those studying this subject/s at other universities.

£26,500
med
Average annual salary
100%
high
Employed or in further education
95%
high
Employed in a role where degree was essential or beneficial

Top job areas of graduates

70%
Information technology and telecommunications professionals
6%
Information technology technicians
5%
Teaching and educational professionals
What do graduate employment figures really tell you?

This is a newly-classified subject area for this kind of data, so we don’t currently have very much information to display or analyse yet. The subject is linked to important and growing computing industries, and over time we can expect more students to study them — there could be opportunities that open up for graduates in these subjects as the economy develops over the next few years.

Mathematics

What are graduates doing after six months?

This is what graduates told us they were doing (and earning), shortly after completing their course. We've crunched the numbers to show you if these immediate prospects are high, medium or low, compared to those studying this subject/s at other universities.

£18,000
low
Average annual salary
97%
high
Employed or in further education
95%
med
Employed in a role where degree was essential or beneficial

Top job areas of graduates

19%
Business, finance and related associate professionals
15%
Business, research and administrative professionals
9%
Teaching and educational professionals
What do graduate employment figures really tell you?

Want to feel needed? This is one of the most flexible degrees of all and with so much of modern work being based on data, there are options everywhere for maths graduates. With all that training in handling figures, it's hardly surprising that a lot of maths graduates go into well-paid jobs in the IT or finance industries, and last year, a maths graduate in London could expect a very respectable average starting salary of £27k. And we're always short of teachers in maths, so that is an excellent option for anyone wanting to help the next generation. And if you want a research job, you'll want a doctorate — and a really good maths doctorate will get you all sorts of interest from academia and finance — and might secure some of the highest salaries going for new leavers from university.

What about your long term prospects?

Looking further ahead, below is a rough guide for what graduates went on to earn.

Computer science

The graph shows median earnings of graduates who achieved a degree in this subject area one, three and five years after graduating from here.

£24k

£24k

£24k

£24k

£30k

£30k

Note: this data only looks at employees (and not those who are self-employed or also studying) and covers a broad sample of graduates and the various paths they've taken, which might not always be a direct result of their degree.

Mathematics

The graph shows median earnings of graduates who achieved a degree in this subject area one, three and five years after graduating from here.

£19k

£19k

£23k

£23k

£22k

£22k

Note: this data only looks at employees (and not those who are self-employed or also studying) and covers a broad sample of graduates and the various paths they've taken, which might not always be a direct result of their degree.

Share this page

Expert tips for uni - straight to your inbox
Free to students, teachers and parents
Sign me up

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).

We calculate a mean rating of all responses to indicate whether this is high, medium or low compared to the same subject area at other universities.

Have a question about this info? Learn more here

This information is from the Higher Education Statistics Agency (HESA).

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