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4 Years On Campus Bachelors Program
University of WestminsterThe Data Science and Analytics with Foundation BSc Honours at the University of Westminster is designed for students who want to build a strong foundation before progressing to a full honours degree in data science. It equips learners with the technical, analytical, and presentation skills needed to transform data into actionable insights in a rapidly evolving digital world.
Curriculum Structure
Foundation Year
In your foundation year, you will explore essential academic and professional skills, including Programming, Foundation Mathematics, and Computer Systems and Networks. This year is designed to build confidence, develop critical thinking, and provide a cross-disciplinary perspective, preparing you for degree-level study.
Year 1
The first year of the honours degree introduces core concepts in data science, including Applied Mathematics, Database Design and Implementation, and Software Development I & II. You will learn to manage and manipulate data while developing problem-solving and analytical skills applicable across computing and business contexts.
Year 2
In the second year, students deepen their expertise with modules like Data Engineering, Machine Learning and Data Mining, and Data Visualisation and Communication. This year focuses on practical applications, giving you the tools to analyse complex datasets and interpret insights for real-world decision-making.
Placement Year
After Year 2, you have the opportunity to undertake a year in industry, gaining hands-on experience in data science and analytics roles. This practical experience enhances employability and allows you to apply your skills to real business challenges.
Year 3
The final year emphasizes advanced analytics and project-based learning, covering Big Data Analytics, Applied AI, and the Data Science and Analytics Final Project. You will refine your technical expertise, develop innovative solutions, and prepare for a professional career or postgraduate study.
Focus Areas: data analytics, machine learning, big data, business intelligence, data visualisation
Learning Outcomes: convert complex data into insights, apply statistical and computational techniques, develop practical and ethical data solutions
Professional Alignment (Accreditation): British Computer Society (BCS) academic membership during study
Reputation (Employability Rankings): University of Westminster is recognized for strong employability support, industry placements, and a modern computing curriculum designed to meet the demands of the growing data science sector.
At the University of Westminster, the Data Science and Analytics with Foundation BSc Honours program is designed to give students hands-on, practical experience right from the start. From working with real datasets to applying advanced computational tools, you'll gain the skills employers are looking for while exploring your passion for data-driven insights. The course integrates state-of-the-art facilities and resources, ensuring you can confidently translate theory into practice and tackle real-world challenges.
The experiential learning opportunities include:
Work-based projects: Engage with short-term, real-life problems set by external organisations to apply your knowledge to practical scenarios.
Year in Industry (placement): Gain invaluable work experience after your second year, supported by workshops and guidance from the Careers and Employability Service.
Specialist computing labs: Access 34 dedicated labs with multiple operating systems (Windows, Unix, Linux, Mac OSX), Microsoft development software, and VR hardware for advanced data projects.
Programming and analytics software: Develop skills using top programming languages like Python and R, along with tools for statistical modelling, data visualisation, and machine learning.
Project-based modules: Participate in modules such as Data Science Project Lifecycle, Data Visualisation and Communication, and Machine Learning and Data Mining, all designed to build practical, industry-ready expertise.
Professional recognition: Enjoy free British Computer Society (BCS) academic membership, connecting you with a global community of IT professionals and offering networking and development opportunities.
Career support and workshops: Benefit from guidance on securing placements, CV building, and industry networking events to prepare for your future career in data science and analytics.
This combination of practical projects, industry exposure, and access to cutting-edge facilities ensures you graduate ready to make an immediate impact in the rapidly evolving field of data science.
Graduates of the Data Science and Analytics with Foundation BSc Honours at the University of Westminster are well-prepared to enter a rapidly growing field where analytical and technical skills are in high demand. Typical roles include Data Analyst, Business Intelligence Specialist, Machine Learning Engineer, and Data Scientist:
University Services: The Careers and Employability Service supports students in securing placements and work-based learning experiences, offering workshops, networking events, and guidance to boost employability.
Employment Stats & Salary: Graduates are highly sought after, with starting salaries often ranging from £25,000 to £35,000, depending on the role and sector.
University–Industry Partnerships: The course includes real-life projects and a year in industry, giving students exposure to companies that rely on data-driven decision making.
Long-term Accreditation Value: Students receive free British Computer Society (BCS) academic membership, providing professional recognition and networking opportunities in the IT sector.
Graduation Outcomes: Alumni are equipped to contribute to sectors such as business, government, and technology, with the ability to apply advanced analytics, machine learning, and data visualization in practical settings.
Further Academic Progression:
Graduates may continue their studies with Master’s programs in Business Intelligence, Big Data Technologies, or related data science fields, further enhancing career prospects and expertise in advanced analytics.
A Levels – DDE (64 UCAS Tariff points)International Baccalaureate – 64 UCAS Tariff points from all components of the Diploma Programme. International Baccalaureate Career-related Programme will be considered on a case-by-case basisDDE 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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