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The Data Science and Analytics BSc Honours at the University of Westminster equips you with the analytical, technical, and communication skills needed to transform complex data into actionable insights. This program is ideal for students interested in mathematics, computing, and statistics, who want to apply these skills to solve real-world business and organisational challenges.
Curriculum Structure
Year 1: In the first year, you will build a strong foundation in the principles of mathematics, computing, and data analysis. Modules such as Applied Mathematics, Software Development I & II, Database Technologies, and Statistical Modelling and Analysis help you develop essential technical skills and analytical thinking. You'll also explore Business Requirements Analysis to understand the context in which data is used for decision-making.
Year 2: The second year deepens your knowledge and introduces applied techniques for data science. You will study Business Analytics, Database Systems, Data Engineering, and Data Science Project Lifecycle, alongside modules in Data Visualisation and Communication, Machine Learning and Data Mining, Object Oriented Programming, and Information Technology Security, preparing you to handle larger datasets and real-world analytics problems.
Placement Year: After year two, you have the opportunity to undertake a year in industry. This work placement allows you to gain practical experience in data science and analytics roles, applying the skills and techniques learned in previous years, and enhancing your employability through real-world projects.
Year 3: In the final year, you focus on advanced applications and independent research. Modules include Analytics in Operations Management, Applied AI, Big Data Analytics, Customer Relationship and Change Management with Business Intelligence, and the Data Science and Analytics Final Project. Additional courses in Digital Marketing, Social Media and Web Analytics, Information Driven Entrepreneurship and Enterprise, and Operational Research and Optimisation ensure a comprehensive skill set for diverse career paths.
Focus Areas: Data analytics, machine learning, business intelligence, big data, AI applications, data visualisation
Learning Outcomes: Ability to collect, analyse, and interpret complex datasets; apply statistical and computational techniques; develop data-driven solutions for business and organisational problems
Professional Alignment (Accreditation): British Computer Society (BCS) academic membership during study
Reputation (Employability Rankings): Strong graduate employability supported by work placements and practical projects; University of Westminster recognized for high-quality teaching and industry-relevant programs
Experiential Learning
At the University of Westminster, the Data Science and Analytics BSc Honours program is designed to immerse students in practical, hands-on experiences that bridge theory and real-world application. You’ll develop essential skills by working with cutting-edge software, analyzing real datasets, and tackling authentic business challenges. The program emphasizes collaborative learning, preparing you to thrive in professional environments. With access to specialist laboratories and industry-standard tools, you’ll gain experience that makes you career-ready from day one. Key opportunities and facilities include:
Work-Based Learning Projects: Short-term projects with external organisations, allowing you to solve real-life problems using your data science skills.
Year in Industry Placement: Optional placement after year two to gain professional experience and enhance employability.
Specialist Computing Labs: 34 labs with multiple operating systems (Windows 10, Unix, Linux, Mac OSX), VR hardware, and Microsoft development software.
Programming and Analytics Tools: Hands-on experience with Python, R, and other essential data science software.
Collaborative Group Projects: Engage in team-based assignments simulating industry scenarios.
Final Year Project: Opportunity to independently design and implement a data-driven solution.
Professional Development: Free membership in the British Computer Society (BCS), providing networking and career development support.
This practical approach ensures that you graduate not only with strong theoretical knowledge but also with the confidence and experience to make a meaningful impact in the data science industry.
Graduating with a Data Science and Analytics BSc Honours from the University of Westminster positions you to step confidently into the workforce as a Data Analyst, Data Scientist, or Business Intelligence Specialist: your skills in analytics, machine learning, and programming open doors across industries. You’ll be ready to convert complex data into actionable insights, driving decision-making in both business and government sectors.
Key opportunities and support include:
University Careers and Employability Services: guidance to secure placements and work-based learning, including a year in industry for hands-on experience.
Employment stats & salaries: graduates in data science-related roles typically start with competitive salaries reflective of high-demand skills in analytics and AI.
Industry partnerships: strong links with businesses and organisations provide real-world projects and networking opportunities.
Accreditation value: free British Computer Society (BCS) membership during your studies supports professional development and industry recognition.
Graduate outcomes: alumni enter roles in analytics, AI, and IT, often progressing rapidly to specialist or managerial positions.
Further Academic Progression: You can continue your studies with a Master’s degree in Business Intelligence or Big Data Technologies, further deepening your expertise and enhancing career prospects.
A Levels – CCC (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 basisCCC grade at A-Level is approximately equivalent to the minimum passing score of 24 points in the IB DiplomaGCSE English Language grade 4/C – IB grade 4 Higher level, GCSE Maths grade 4/C – IB grade 4IELTS: 6.0 overall, with 5.5 in each component.TOEFL: 78 overall with a minimum of 17 in Listening, and Writing, 18 in Reading and 20 in Speaking. Where 6.0 is required in component scoresFor Indian Applicants: HSC XII: CBSE, ICSE, Kolkata, or Tamil Nadu – 70%+, West Bengal – 58%+, Maharashtra/Gujarat – 75%+, other state boards – 80%+Or a recognised International Foundation course (UK or India) with 60–65% depending on the program.For US Applicants: High school diploma (GPA ≥ 3.0) or GED, plus one of the following: SAT ≥ 1180 (Math ≥ 570, Evidence-Based Reading/Writing ≥ 610) or ACT ≥ 25; AP exams, SAT Subject Tests, or IB courses in relevant subjects (no overlap) as required by the program; or one year of college with GPA ≥ 2.8.Data ScientistData AnalystMachine Learning EngineerBusiness Intelligence AnalystAI EngineerBig Data EngineerData EngineerQuantitative AnalystStatisticianOperations AnalystMarketing AnalystRisk AnalystResearch ScientistDatabase AdministratorPredictive Modeler
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University of Westminster
