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

Data Science and Analytics with Foundation

Entry requirements

Here's what you will need to get a place on the Data Science and Analytics with Foundation course at University of Westminster, London.

Select a qualification to see required grades

A level

D,D,E

Most popular A-levels studied

The Data Science and Analytics with Foundation course at University of Westminster, London features content from more than one subject area. Choose an option below to find out about the students taking courses in each of those subject areas at this uni.

Computer science
Data management
SubjectGrade
MathematicsC
Computer ScienceC
EconomicsC
BiologyD
PhysicsD
SubjectGrade
MathematicsC
PhysicsB
Computer ScienceD
EconomicsC
BiologyD
Source: HESA

Course summary

What this course is about

UCAS code: I106

Here's what University of Westminster, London says about its Data Science and Analytics with Foundation course.

Our degree courses with Foundation year offer the opportunity to prepare you for advanced study before you progress onto a full honours degree at the University of Westminster.

Whether you do not feel ready for degree-level study, don’t have the right qualifications, want to change your subject specialism or return to study after an absence from education, we aim to encourage a broad range of students to undertake our Foundation year in order to progress onto their full honours degree with us.

The Foundation year is designed to give you the opportunity to explore new ideas, opening up new perspectives on the key debates within your chosen field. During the foundation year, you will explore a range of creative disciplines and get a chance to develop in your chosen field, benefiting from workshops in our high-end facilities and working with leading academics who will encourage you to become a confident and creative thinker. Core modules accelerate your academic and professional development and you will also take modules within your chosen field, giving you the chance to develop a cross-disciplinary perspective on your course.

On successful completion of the Foundation year, you will be able to move on to study for the Data Science and Analytics BSc Honours over a further three years study.

Our Data Science and Analytics BSc will give you the combination of analytical, technical and presentation skills to convert data into valuable insights.

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 involves 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.

Studying our course, you'll develop knowledge of the fundamental principles and technologies that underpin the disciplines of maths, statistics and computing with an emphasis on the skills and theories required in data science and analytics. You'll learn how to apply cutting-edge maths, 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.

Our course offers a short-term work-based learning experience that will give you the opportunity to work on a real-life problem, which is normally set by an external organisation as a small-scale project. This experience will allow you to put theory into practice by applying your knowledge and skills gained from various modules to address a real-life situation, usually within the context of a business-related problem.

In addition, you'll have the opportunity to complete a year in industry (work placement) after completing the second year of your study. This will help you gain work experience and enhance your employability after you graduate. You'll be offered help and support to find and secure placement opportunities through various workshops and events organised by the Careers and Employability Service and the course team. Typically, you'll be assigned into roles involving tasks related to data science and analytics.

At the end of your studies, you'll 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.

Source: University of Westminster, London

Course details

Qualification

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

Department

School of Computer Science and Engineering

Location

Main Site | London

Duration

4 Years

Study mode

Full-time

Subjects

• Computer science

• Data management

Start date

14 September 2026

Application deadline

14 January 2026

Tuition fees

LocationFees
England£9,790 per year
Scotland£9,790 per year
Wales£9,790 per year
Northern Ireland£9,790 per year
EU£17,600 per year
International£17,600 per year

University of Westminster, London student reviews

(4.4)
Based on 111 reviews from University of Westminster, London's students and alumni
5 star
65%
4 star
19%
3 star
11%
2 star
2%
1 star
4%
All reviews

Showing 108 reviews

Graduate

1 year ago

I think the Student Union made great work for representing the undergraduate students interestes, but there was not enough representation for postgradu2019s students.

(4)
Student Union

Graduate

1 year ago

The central London campuses seem more appealing for activities and lare study sessions.

(4)
University life

Graduate

1 year ago

Although they had some financial programs to support rising costs of living, the application information eas not easy to access

(3)
Finance

Graduate

1 year ago

All departments were very supportive even before I enrolled and traveled to the UK.

(5)
Support

Graduate

1 year ago

5 out 5. Great facilities and campuses locations

(5)
Facilities

Graduate

1 year ago

Timetable, course structure and contents where great, although many of the teachers seem to know a lot and have a lot of expertise on their subject, but have not teaching qualities to make content interactive and appealing

(4)
Course

National Student Survey (NSS) scores at University of Westminster, London

The NSS is an annual survey where final-year students are asked to rate different aspects of their course and university experience.

The Data Science and Analytics with Foundation course at University of Westminster, London features content from more than one subject area. Using the options below, you can see ratings from students who took courses in each of these subject areas at this uni

Computer science
Information systems

Select an option to see a detailed breakdown

How often does your course challenge you to achieve your best work?

80%

med

How good are teaching staff at explaining things?

91%

med

How often do teaching staff make the subject engaging?

73%

med

How often is the course intellectually stimulating?

82%

med

To what extent have you had the chance to bring together information and ideas from different topics?

78%

med

How well does your course introduce subjects and skills in a way that builds on what you have already learned?

85%

med

How well has your course developed your knowledge and skills that you think you will need for your future?

87%

high

To what extent have you had the chance to explore ideas and concepts in depth?

80%

med

To what extent does your course have the right balance of directed and independent study?

78%

med

How well have assessments allowed you to demonstrate what you have learned?

85%

med

How fair has the marking and assessment been on your course?

85%

med

How often does feedback help you to improve your work?

69%

med

How often have you received assessment feedback on time?

64%

low

How clear were the marking criteria used to assess your work?

81%

med

How easy was it to contact teaching staff when you needed to?

84%

med

How well have teaching staff supported your learning?

86%

med

How well were any changes to teaching on your course communicated?

84%

med

How well organised is your course?

83%

high

How well have the IT resources and facilities supported your learning?

91%

med

How well have the library resources (e.g., books, online services and learning spaces) supported your learning?

87%

med

How easy is it to access subject specific resources (e.g., equipment, facilities, software) when you need them?

88%

med

How clear is it that students' feedback on the course is acted on?

70%

med

To what extent do you get the right opportunities to give feedback on your course?

82%

med

To what extent are students' opinions about the course valued by staff?

79%

med

How well does the students' union (association or guild) represent students' academic interests?

77%

med

During your studies, how free did you feel to express your ideas, opinions, and beliefs?

89%

med

How well communicated was information about your university/college's mental wellbeing support services?

81%

med

Select an option to see a detailed breakdown

How often does your course challenge you to achieve your best work?

88%

med

How good are teaching staff at explaining things?

94%

med

How often do teaching staff make the subject engaging?

69%

med

How often is the course intellectually stimulating?

75%

med

To what extent have you had the chance to bring together information and ideas from different topics?

88%

high

How well does your course introduce subjects and skills in a way that builds on what you have already learned?

81%

med

How well has your course developed your knowledge and skills that you think you will need for your future?

81%

med

To what extent have you had the chance to explore ideas and concepts in depth?

88%

high

To what extent does your course have the right balance of directed and independent study?

88%

high

How well have assessments allowed you to demonstrate what you have learned?

69%

low

How fair has the marking and assessment been on your course?

81%

med

How often does feedback help you to improve your work?

81%

high

How often have you received assessment feedback on time?

56%

low

How clear were the marking criteria used to assess your work?

94%

high

How easy was it to contact teaching staff when you needed to?

100%

high

How well have teaching staff supported your learning?

81%

med

How well were any changes to teaching on your course communicated?

81%

med

How well organised is your course?

81%

med

How well have the IT resources and facilities supported your learning?

88%

med

How well have the library resources (e.g., books, online services and learning spaces) supported your learning?

88%

med

How easy is it to access subject specific resources (e.g., equipment, facilities, software) when you need them?

87%

med

How clear is it that students' feedback on the course is acted on?

88%

high

To what extent do you get the right opportunities to give feedback on your course?

88%

med

To what extent are students' opinions about the course valued by staff?

81%

med

How well does the students' union (association or guild) represent students' academic interests?

81%

med

During your studies, how free did you feel to express your ideas, opinions, and beliefs?

88%

med

How well communicated was information about your university/college's mental wellbeing support services?

87%

med

Student information

The Data Science and Analytics with Foundation course at University of Westminster, London features content from more than one subject area. Choose an option below to find out about the students taking courses in each of those subject areas at this uni.

Computer science
Data management
Mode of study
Full-time95%Part-time5%
Gender ratio
Female24%Male76%
Where students come from
International18%UK82%
Student performance
2:1 or above64%
Number of students1,115
Mode of study
Full-time95%Part-time5%
Gender ratio
Female30%Male70%
Where students come from
International28%UK72%
Student performance
2:1 or above79%
Number of students120
Source: HESA

Graduate prospects

What graduates do next

We have no information about graduates who took Data Science and Analytics with Foundation at University of Westminster, London.

Earnings after graduation

Earnings from University of Westminster, London graduates who took Data Science and Analytics with Foundation - or another course in the same subject area.

Computing

Earnings

£26.3k

First year after graduation

£33.4k

Third year after graduation

£39.1k

Fifth year after graduation

Shown here are the median earnings of graduates at one, three and five years after they completed a course related to Data Science and Analytics with Foundation.

Source: LEO

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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