Course Overview
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 available in our labs to develop with
- 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
- You'll qualify for free British Computer Society (BCS) academic membership for the duration of your studies. The BCS supports those working in the IT industry and has a commitment to making IT good for society. The organisation has over 60,000 members in 150 countries, and a wider community of business leaders, educators, practitioners and policy-makers. Membership of the BCS will allow you to continue your professional development and enjoy a range of valuable networking opportunities. For more information, visit the BCS website
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 I
- Software Development II
- Statistical Modelling and Analysis
Credit Level 4
Subjects of study include:
- Business Analytics
- Data Engineering
- Data Science Project Lifecycle
- Data Visualisation and Communication
- Machine Learning and Data Mining
- Database Systems
- Information Technology Security
- Object Oriented Programming
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 to roles involving tasks related to data science and analytics.
Find out more about the costs involved in taking a placement year.
Subjects of study include:
- Big Data Analytics
- Data Science and Analytics Final Project
- Operational Research and Optimisation
- Analytics in Operations Management
- Applied AI
- Customer Relationship and Change Management (CRM & CM) with Business Intelligence
- Digital Marketing, Social Media and Web Analytics
- Information Driven Entrepreneurship and Enterprise
Credit Level 6
Professional accreditation
This course is accredited by BCS, The Chartered Institute for IT on behalf of the Engineering Council for the purposes of fully meeting the academic requirement for registration as a Chartered IT Professional and partially meeting the academic requirement for a Chartered Engineer for the period of five years until August 2028.
Studying Computer Science and Engineering at Westminster
Watch the video below to find out more about studying Computer Science and Engineering at Westminster.
For more details on course structure, modules, teaching and assessment Download the programme specification (PDF).
To request an accessible version please email [email protected]
Get your copy of the University of Westminster prospectus and browse the range of courses on offer.
Contact us for general course enquiries:
+44 (0)20 7911 5000 EXT 65511
(Mon–Fri, 10am–4pm GMT)
Live chat with us
(Mon–Fri, 10am–4pm GMT)
Open days
Join us at an open day online or on campus. Get a feel for student life at the University of Westminster and talk to course leaders and our support teams.
Can't attend? See more open events
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.
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)
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 available in our labs to develop with.
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.
Course Leader
Dr Salma Chahed
Senior Lecturer
Salma Chahed (DipEng, MSc, PhD, FHEA) is a Senior Lecturer in Business Analytics at the School of Computer Science and Engineering. She is also a member of the Health and Social Care Modelling Group (HSCMG) at the University of Westminster.
She has been involved in research and consultancy-based projects such as forecasting NHS continuing healthcare demand, profiling patients, modelling the capacity of a neonatal care unit, planning production and distribution of anti-cancer drugs and (re-)designing urgent care centres.
Salma has experience in teaching mathematical programming, operations management, forecasting and simulation modelling at both undergraduate and postgraduate levels. She was also involved in the organisation and delivery of professional courses specifically designed to provide modelling and analytics training for health and social care analysts and managers.
Data is everywhere. Start your data science journey with us to learn how to unlock the power of data for businesses, charities and governments.
Course Team
Why study this course?
Learn the fundamentals
Lay the foundations of your data and analytics career by studying the principles and technologies that underpin maths, statistics and computing.
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.
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.
Entry Requirements
- A Levels – CCC (96 UCAS Tariff points)
- T levels – 96 UCAS Tariff points
- International Baccalaureate – 96 UCAS Tariff points from all components of the Diploma Programme. International Baccalaureate Career-related Programme will be considered on a case-by-case basis
- BTEC Extended Diploma – MMM
- BTEC Diploma – DD
- Access – 96 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 – 96 UCAS Tariff points from all components of the Diploma Programme. International Baccalaureate Career-related Programme will be considered on a case-by-case basis. You can refer to the UCAS calculator to determine your point score
- We accept a wide range of international high school level qualifications. Please see information on Country-specific entry requirements
- We work in partnership with Kaplan International College London who provide International Foundation Certificate courses for students who don’t meet our entry requirements. Upon successful completion, you can progress to your chosen degree at the University of Westminster. Find out about a range of university preparation courses that are accepted for entry.
English language requirements
- If your first language is not English, you should have an IELTS score of 6.0 overall, with a score of 5.5 in each component. Please note we accept a wide range of English language qualifications and assessments. Find out more at English language requirements.
- If you don't meet the English language requirements yet, then we offer online and on campus pre-sessional English programmes to help develop your English language skills to the required level before you start your course. Find out more about our pre-sessional English programmes.
More information
What our students say
Asad Naeem
Data Science and Analytics BSc Honours
The academic support at the University has been tremendous, my favourite part about being a Westminster student so far. The lecturers are very engaging and adopt a conceptual approach, which makes learning more fun. The academic staff are always available and dedicated to helping students to reach their full academic potential.
Mehdi Zidani
Data Science and Analytics BSc Honours - 2023
The lecturers are very accessible and responsive. They’re only an email away if you ever have any questions and they respond within a reasonable time frame. In addition to lectures and seminars, the academic staff offer dedicated one-to-one meetings with students if and when they need them. I’ve seen lecturers leading modules with over 300 students and they still make the time to answer everyone’s questions.
Andreea Rodica Ursu
Data Science and Analytics BSc - 2023
The computer labs are equipped with cutting-edge technology. Additionally, all students have free access to a wide range of professional tools and software provided by the university not only in the computer labs but also accessible on our personal computers.
Learn new skills
Learn a new language
From Arabic to Spanish, you can learn a new language alongside your degree with our Polylang programme.
Develop your entrepreneurial skills
Our award-winning Westminster Enterprise Network offers industry networking events, workshops, one-to-one business advice and support for your startup projects.
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 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: £17,000 (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.
EU Qualifications Welcome Award Scheme
If you are an international student accepted on an undergraduate programme starting in September 2024 or September 2025 at level 3 (Foundation) or level 4 (first year) on the basis of an eligible EU qualification only, you will be awarded a tuition fee reduction which will align your fee more closely to the one for UK students. For more information, see the EU Qualifications Welcome Award Scheme.
International student funding
Find out about funding for international students.
Additional costs
See what you may need to pay for separately and what your tuition fees cover.
Teaching and Assessment
Below you will find how learning time and assessment types are distributed on this course. The graphs below give an indication of what you can expect through approximate percentages, taken either from the experience of previous cohorts, or based on the standard module diet where historic course data is unavailable. Changes to the division of learning time and assessment 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 lectures, seminars, workshops, problem-based and blended learning, and where appropriate practical application. Learning typically falls into three broad categories:
- Scheduled hours: examples include lectures, seminars, practical classes, workshops, supervised time in a studio
- Placement: placement hours normally include placement opportunities, but may also include live projects or virtual activity involving employers
- Independent study: non-scheduled time in which students are expected to study independently. This may include preparation for scheduled sessions, follow-up work, wider reading or practice, completion of assessment tasks, or revision
How you'll be assessed
Our undergraduate courses include a wide variety of assessments.
Assessments typically fall into three broad categories:
- Practical: examples include presentations, videos, podcasts, lab work, creating artefacts
- Written exams: end of semester exams
- Coursework: examples include essays, reports, in-class tests, portfolios, dissertation
Data from the academic year 2022/23
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
Course 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
Call our dedicated team on:
+44 (0)20 7911 5000 ext 65511
Opening hours (GMT): 10am–4pm Monday to Friday
Opening hours (GMT): 10am–4pm Monday to Friday
More information
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