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University of Westminster, London

Data Science and Analytics

UCAS Code: G900

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

Entry requirements


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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 | 2019

Other options

4.0 years | Full-time with year in industry | 2019

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.

Modules

YEAR 1
Subjects of study include:
• Business Information Systems Concepts
• Computer Science Practice
• Mathematics for computing
• Modelling user and system requirements
• Programming Principles I
• Programming Principles II
• Statistical modelling and analysis
Credit Level 4

YEAR 2
Subjects of study include:
• Agile project management
• Algorithms: Theory design and implementation
• Business Analytics
• Database Systems
• Information Technology Security
• Machine Learning and Data mining
• Object-oriented programming
• Service Operations management
Credit Level 5

YEAR 3
• Advanced Analytics
• Big Data Analytics
• Business Intelligence
• Data visualisation and dashboarding
• Digital marketing social media and web analytics
• Final year project
• Information driven entrepreneurship and enterprise
• Web intelligence
Credit Level 6

The Uni


Course location:

University of Westminster, London

Department:

Computer Science and Engineering

TEF rating:

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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.

67%
low
Computer science
77%
med
Data management

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

65%
Staff make the subject interesting
72%
Staff are good at explaining things
69%
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

76%
Library resources
81%
IT resources
80%
Course specific equipment and facilities
55%
Course is well organised and has run smoothly

Student voice

Staff value students' opinions

Who studies this subject and how do they get on?

89%
UK students
11%
International students
85%
Male students
15%
Female students
65%
2:1 or above
15%
Drop out rate

Most popular A-Levels studied (and grade achieved)

D
C
D

Information systems

Teaching and learning

55%
Staff make the subject interesting
73%
Staff are good at explaining things
86%
Ideas and concepts are explored in-depth
91%
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

86%
Library resources
77%
IT resources
91%
Course specific equipment and facilities
59%
Course is well organised and has run smoothly

Student voice

Staff value students' opinions

Who studies this subject and how do they get on?

85%
UK students
15%
International students
66%
Male students
34%
Female students
65%
2:1 or above
12%
Drop out rate

Most popular A-Levels studied (and grade achieved)

B
C
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
95%
high
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
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.

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
66%
med
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
What do graduate employment figures really tell you?

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.

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.

£22k

£22k

£25k

£25k

£28k

£28k

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.

Data management

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

£22k

£22k

£25k

£25k

£28k

£28k

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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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.

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