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Data Science and Analytics

Entry requirements


A level

C,C,C-B,B,B

96 to 120 UCAS Tariff points from the Access course

GCSE/National 4/National 5

GCSE English Language grade 4 or grade C, GCSE Maths grade 4 or grade C

96 to 120 UCAS Tariff points to include English grade 4 HL, Maths grade 4

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

DD-D*D*

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

MMM-DDM

UCAS Tariff

96-120

About this course


This course has alternative study modes. Contact the university to find out how the information below might vary.

Course option

3.0years

Full-time | 2022

Other options

4.0 years | Full-time with year in industry | 2022

Subjects

Computer science

Data management

In a constantly changing global environment, the massive use of social networks and the Internet of Things are generating a huge and fast-growing amount of data. Data processing is carried out through increasingly complex and sophisticated computer capabilities and algorithmic models, and involve advanced storage technologies such as cloud computing.

As a result, there is currently a great need for professionals who can process, understand and present this data in an appropriate and effective way. These skills are much needed by businesses, which collect data from customers, partners and from the market in which they operate to support evidence-based decision making. Governments rely on data to improve their policies and deliver better services as well.

This course will give you a combination of analytical, technical and presentation skills that will allow you to convert data into valuable insights that support decision making. You will develop knowledge of the fundamental principles and technologies that underpin the disciplines of mathematics, statistics and computing with an emphasis on the skills and theories required in data science and analytics. You will learn how to apply cutting-edge mathematics, statistics and computer science techniques and tools to collect, store, prepare, analyse and visualise data, while analysing and understanding organisations’ operations, environment and related issues.

At the end of your studies you will be ready to make a valuable contribution to the workforce. Should you wish to continue your studies at the University, there are opportunities to study for a Master's degree in Business Intelligence or Big Data Technologies.

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
£14,400
per year
International
£14,400
per year
Northern Ireland
£9,250
per year
Scotland
£9,250
per year
Wales
£9,250
per year

The Uni


Course location:

University of Westminster, London

Department:

School of Computer Science and Engineering

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.

65%
med
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

61%
Staff make the subject interesting
78%
Staff are good at explaining things
63%
Ideas and concepts are explored in-depth
78%
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

75%
Library resources
56%
IT resources
70%
Course specific equipment and facilities
64%
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?

87%
UK students
13%
International students
84%
Male students
16%
Female students
80%
2:1 or above
21%
First year drop out rate

Most popular A-Levels studied (and grade achieved)

E
D
E

Data management

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?

91%
UK students
9%
International students
68%
Male students
32%
Female students
48%
2:1 or above
19%
First year drop out rate

Most popular A-Levels studied (and grade achieved)

B
B
C

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.

£25,000
med
Average annual salary
92%
med
Employed or in further education
71%
med
Employed in a role where degree was essential or beneficial

Top job areas of graduates

51%
Information technology and telecommunications professionals
10%
Information technology technicians
4%
Business, research and administrative professionals

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.

Information systems

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.

£24,000
med
Average annual salary
91%
med
Employed or in further education
48%
low
Employed in a role where degree was essential or beneficial

Top job areas of graduates

31%
Information technology and telecommunications professionals
14%
Customer service occupations
11%
Managers and directors in retail and wholesale

Information systems courses cover a range of areas, including information design, modelling and the finance industry. How well graduates did made a particular difference in 2015 — computing graduates with good grades were much less likely to be out of work after six months. Most students do get jobs, though, and starting salaries are good — particularly in London, and that’s where over a quarter of graduates started work last year. This is also a good degree to take if you want to follow a technical role in the finance or advertising industry. Many jobs for this degree were found in the larger cities last year and opportunities may be more limited outside those areas.

What about your long term prospects?

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

Computing

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

£23k

£23k

£29k

£29k

£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.

Explore these similar courses...

Higher entry requirements
City, University of London
Data Analytics and Actuarial Science
Bachelor of Science (with Honours) - BSc (Hons)
3.0 years | Full-time | 2022
Lower entry requirements
Birmingham City University
Computer and Data Science with Foundation Year
Bachelor of Science (with Honours) - BSc (Hons)
4.0 years | Full-time | 2022
Nearby University
University of Hertfordshire
Information Technology
Bachelor of Science (with Honours) - BSc (Hons)
3.0 years | Full-time | 2022
Same University
University of Westminster, London
Data Science and Analytics with Foundation
Bachelor of Science (with Honours) - BSc (Hons)
4.0 years | Full-time | 2022

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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