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Birkbeck, University of London

UCAS Code: I266 | Bachelor of Science (with Honours) - BSc (Hons)

Entry requirements

GCSE/National 4/National 5

Applicants are expected to have GCSE grade C or new grade 4, or equivalent, in English and mathematics.

UCAS Tariff

48

The UCAS tariff score is applicable to you if you have recently studied a qualification that has a UCAS tariff equivalence. UCAS provides a tariff calculator for you to work out what your qualification is worth within the UCAS tariff.

About this course

Course option

4years

Full-time including foundation year | 2025

Subjects

Computer science

Information systems

Our BSc Data Science and Computing will give you a strong foundation in mathematics, statistics and computer science and the skills to tackle real-world problems. You will learn cutting-edge techniques for collecting, storing, analysing and visualising data, and how to extract information to inform decision-making across various organisations, essential for a career as a data scientist or data-driven software developer.

**Why choose this course?**

- This course offers a balance between learning current skills, essential in today's marketplace, and a deep understanding of the fundamentals, which provide a solid basis for long-lasting professional success.

- Whilst studying this degree you will uncover valuable insights from data, a skill highly sought after by employers across business, finance, manufacturing and the public sector.

- You will consider social, professional and organisational issues that play a key role in understanding how data science and computing contribute to the future of businesses and organisations.

- The degree is accredited by the British Computer Society, the professional body for computing in the UK, which supports IT professionals and promotes the ethical and responsible use of technology.

**What you will learn**

Data science combines data analytics, applied statistics, computer science and software engineering. You will gain a broad knowledge of computing and mathematics and acquire strong programming and data analysis skills using Python, R and Java - the most popular programming languages used by data scientists.

**How you will learn**

Teaching may include formal lectures, seminars, tutorials and practical classes. Many computing modules include laboratory-based exercises. All lectures are recorded and materials are made available online.

For the majority of the programming modules we adopt a 'flipped classroom' approach, where you watch short videos and perform appropriate reading before the class, making this an active rather than passive learning experience.

**Foundation Year**

If you opt for the Foundation Year route, this will fully prepare you for undergraduate study. It is ideal if you are returning to study after a gap, or if you have not previously studied the relevant subjects, or if you didn't achieve the grades you need for a place on your chosen undergraduate degree.

**Highlights**

- Birkbeck was ranked in the top 25 universities in the UK for its Computer Science and Informatics research in the 2021 Research Excellence Framework.

- Birkbeck established one of the first computing departments in the UK in 1957. Today, we provide a stimulating teaching and research environment for both part-time and full-time students.

- Our world-class research in data science, data analytics and software engineering at the Birkbeck Institute for Data Analytics (BIDA) informs our teaching and our interactions with business, public and third-sector organisations.

- We have four modern computing laboratories, with a total of 133 workstations. The labs have projection facilities and are air-conditioned. Our wide range of software runs on a number of platforms including Unix, Windows and Linux. The local area network is a switched gigabit/10gigabit ethernet. Our computers are connected to the SuperJANET academic network.

**Careers and employability**

On successfully graduating from this BSc Data Science and Computing, you will have gained an array of important transferable skills, including:

- problem-solving

- analytical thinking

- communication

- teamwork

- project management.

Graduates can pursue careers as programmers, data scientists or software engineers. Job opportunities exist in software companies, healthcare, banking, insurance, policing and tech companies as, for example:

- machine learning engineers for artificial intelligence software

- analytics associates/data scientists

- quantitative analysts

- graduate software developers.

Modules

For information about course structure and the modules you will be studying, please visit Birkbeck’s online prospectus.

Assessment methods

A combination of coursework, in-class tests, examinations and a final-year project.

Tuition fees

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

England
£9,535
per year
International
£18,060
per year
Northern Ireland
£9,535
per year
Scotland
£9,535
per year
Wales
£9,535
per year

The Uni

Course location:

Birkbeck, University of London

Department:

School of Computing and Mathematical Sciences

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.

74%
Computer science

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

59%
Staff make the subject interesting
85%
Staff are good at explaining things
59%
Ideas and concepts are explored in-depth
63%
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

69%
Library resources
79%
IT resources
80%
Course specific equipment and facilities
69%
Course is well organised and has run smoothly

Student voice

Staff value students' opinions
Feel part of a community on my course

Who studies this subject and how do they get on?

89%
UK students
11%
International students
74%
Male students
26%
Female students
64%
2:1 or above
28%
First year drop out rate

Most popular A-Levels studied (and grade achieved)

C
D
B

Information systems

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.


Who studies this subject and how do they get on?

88%
UK students
12%
International students
67%
Male students
33%
Female students
64%
2:1 or above
27%
First year drop out rate

Most popular A-Levels studied (and grade achieved)

C
C
D

After graduation

We don't have more detailed stats to show you in relation to this subject area at this university but read about typical employment outcomes and prospects for graduates of this subject below.

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.

£38k

£38k

£35k

£35k

£46k

£46k

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.

Information systems

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

£38k

£38k

£35k

£35k

£46k

£46k

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.

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UCAS Points: 112

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

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

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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.

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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.

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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.

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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