Course Overview

UK/EU Fees £9,250 *
International Fees £14,000 *
Duration 3 or 4 years

* Price per academic year

Course summary

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.

Top reasons to study with us

  • Master key data science skills – You’ll learn how to make sense of data using various machine learning algorithms and statistical techniques, and how to use top programming languages such as R and Python for a career in Data Science and Analytics
  • Boost your employability – You’ll have the opportunity to experience work-based learning including working for a year in industry, gaining skills that’ll give you an edge in the graduate market
  • Use state-of-the-art computing facilities – You’ll have access to 34 specialist labs, various Operating Systems (Windows 10, Unix, Linux and Mac OSX), Microsoft development software for free, and VR hardware
  • Develop in-demand skills – Data analysis is a growing industry, with governments and businesses in need of professionals who can analyse data to support key decision-making
  • Learn the fundamentals – You'll graduate with knowledge of the fundamental principles and technologies that underpin maths, statistics and computing

Course structure

The following subjects are indicative of what you will study on this course. 

Subjects of study include:

  • Applied Mathematics
  • Database design and implementation
  • Requirements modelling
  • Software development 
  • Statistical modelling and analysis

Credit Level 4

Subjects of study include:

  • Agile Project management and professional experience
  • 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

Our course gives you the opportunity to take a year in industry (work placement) after completing the second year of your study. This will help you gain work experience and increase your chances of 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.

Subjects of study include:

  • Advanced Analytics
  • Applied Artificial Intelligence
  • Big Data Analytics
  • CRM & CM with Business Intelligence
  • Data visualisation and dash boarding
  • Digital Marketing, Social Media and Web Analytics
  • Final year project
  • Information Driven Entrepreneurship and Enterprise

Credit Level 6

Professional accreditation

The course is intended to fulfil the educational requirements of the British Computer Society (BSC) to fulfil the educational requirements registration as a Chartered IT Professional (CITP) and partial Chartered Engineer (CEng). 

Accreditation from BCS is being sought and is currently pending.
 

Programme Specification

For more details on course structure and modules, and how you will be taught and assessed, see the programme specification.

Careers

We aim to create graduates who have a strong focus on solving real-world problems and the knowledge and technical capability to make an immediate impact in any organisation, whether it is in industries such as healthcare or retail, or in research or government. 

+231%

Increase in demand for data professionals in five years

Demand for workers with specialist data skills more than tripled between 2013–2018.

Source: The Royal Society (Site accessed in April 2020)

Computer screen with running software icon

State-of-the-art computing facilities

You’ll have access to 34 specialist labs, various Operating Systems (Windows 10, Unix, Linux and Mac OSX), Microsoft development software for free, and VR hardware

3,000

Employers around the world

The University’s Careers and Employability Service has built up a network of over 3,000 employers around the world, helping all our students explore and connect with exciting opportunities and careers.

Work experience

Our course gives you 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.

Job roles

Graduates of the Data Science and Analytics BSc will seek roles including but not limited to:

  • Business intelligence analyst/manager
  • Data analyst/manager
  • Data engineer
  • Data scientist
  • Operational research analyst/manager

International Opportunities

Many of our courses offer international study and work experiences, and the University provides other global opportunities that all students can apply for - so whatever you're studying, you'll have the chance to go abroad.

Opportunities could include:

  • Taking part in semester or year-long exchanges at institutions around the world
  • Attending an international summer school or field trip
  • Developing your CV through volunteering or work placements abroad

International experience broadens horizons, boosts self-confidence, and improves global understanding, alongside being fantastic for your career.

Find out more about our international opportunities, including funding options and where you can go.

Students working and studying internationally

Why study this course?

Building blocks

Learn the fundamentals

Lay the foundations of your data and analytics career by studying the principles and technologies that underpin maths, statistics and computing.

Line graph

Master key data science skills

Stand out from the crowd by learning how to use machine learning algorithms and statistical techniques, as well as top programming languages such as R and Python. 

Big Ben in London

Study in London

Our central London location means that you'll be perfectly placed to take advantage of career and collaboration opportunities in the city.

Online open days

Join us at an online open day and get a feel for student life at the University of Westminster.

You'll get a chance to: 

  • Speak to our academic staff
  • Take a virtual reality tour of our student halls
  • Ask us any questions you may have about student finance and accommodation

Find an online open day

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Learn more about the Data Science and Analytics BSc

Entry Requirements

  • A Levels – BBC to ABB
  • International Baccalaureate – 27 points. We also welcome applications from students taking the IB Career related Programme
  • BTEC Extended Diploma – DMM to DDM
  • BTEC Diploma – D*D*
  • Access – 112 to 128 UCAS Tariff points from the Access course

In addition to one of the above, you should have:

  • GCSE English Language grade 4/C – IB grade 4 Higher Level, GCSE Maths grade 4/C – IB grade 4

If your first language is not English, you will need an IELTS of 6.0 overall, with 5.5 in each component.

We also welcome applications from students who are taking a combination of qualifications listed above. For further information, please contact Course Enquiries.

View more information about our entry requirements and the application process.

  • International Baccalaureate – 27 points

If your first language is not English, you will need an IELTS of 6.0 overall, with 5.5 in each component.

More information

Learn new skills

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Learn a new language

From Arabic to Spanish, you can learn a new language alongside your degree with our Polylang programme

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Develop your entrepreneurial skills

Our award-winning Creative Enterprise Centre offers industry networking events, workshops, one-to-one business advice and support for your startup projects. 

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Gain extra qualifications

We provide access to free online courses in Adobe and Microsoft Office applications, as well as thousands of specialist courses on LinkedIn Learning.

Fees and Funding

UK and EU tuition fee: £9,250 (Price per academic year)

When you have enrolled with us, your annual tuition fees will remain the same throughout your studies with us. We do not increase your tuition fees each year.

Find out how we set our tuition fees.

Funding

As well as tuition fee loans, there is a range of funding available to help you fund your studies.

Find out about undergraduate student funding options.

Scholarships

The University is dedicated to supporting ambitious and outstanding students and we offer a variety of scholarships to eligible undergraduate students, which cover all or part of your tuition fees.

Find out if you qualify for one of our scholarships.

Additional costs

See what you may need to pay for separately and what your tuition fees cover.

International tuition fee: £14,000 (Price per academic year)

When you have enrolled with us, your annual tuition fees will remain the same throughout your studies with us. We do not increase your tuition fees each year.

Find out how we set our tuition fees.

International student funding

Find out about funding for international students.

Scholarships

The University is dedicated to supporting ambitious and outstanding students and we offer a variety of scholarships to eligible undergraduate students, which cover all or part of your tuition fees.

Find out if you qualify for one of our scholarships.

Additional costs

See what you may need to pay for separately and what your tuition fees cover.

Teaching and assessment

Below you'll find examples of how marks have been calculated and study time distributed in the past. Changes to assessment weights and division of study time may be made in response to feedback and in accordance with our terms and conditions.

How you'll be taught

Teaching methods across all our undergraduate courses focus on active student learning through seminars, workshops, problem-based and blended learning, as well as group work. Teaching will be informed by our research, giving you the benefit of the knowledge of current theories and, where appropriate, their practical application.

Year
1
34%66%
2
24%76%
3
22%78%
Scheduled hours Independent study

How you'll be assessed

Assessment methods across our undergraduate courses may include essays, reports, presentations, case studies, videos, podcasts and posters, as well as time-constrained in-class tests and exams.

 

Year
1
7%93%
2
37%63%
3
14%86%
Practical Written exams Coursework

Data from the academic year 2019/20

Supporting you

Our Student Hub is where you’ll find out about the services and support we offer, helping you get the best out of your time with us.

  • Study support — workshops, 1-2-1 support and online resources to help improve your academic and research skills
  • Personal tutors — support you in fulfilling your academic and personal potential
  • Student advice team — provide specialist advice on a range of issues including funding, benefits and visas
  • Extra-curricular activities — volunteering opportunities, sports and fitness activities, student events and more

visit our student hub

Illustration for the Student Hub

Location

With state-of-the-art science and psychology labs and refurbished computer suites, our Cavendish Campus offers our science and technology students a range of learning spaces that are both dynamic and inspiring,

Located in central London, our Cavendish Campus is just a five-minute walk from Oxford Street and Tottenham Court Road.

For more details, visit our Cavendish Campus page.
 

Contact us

Contact the Course Enquiries Team:

[email protected]

Start live chat

Opening hours (GMT): 9am–4pm Monday to Friday

 

We also have an FAQs page if you are applying this year.

More information

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