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The BSc in Data Science at Warwick is a dynamic three-year programme that blends advanced mathematical, statistical, and computational skills to prepare you for careers harnessing modern data-driven insights. It’s perfect for curious, tech-savvy learners who want to decode complex data, design smart algorithms, and drive innovation through analysis, statistics, and programming.
Curriculum Structure:
Year 1
You’ll build a rock-solid foundation with core modules like Programming for Computer Scientists, Design of Information Structures, Mathematical Programming I, Vectors & Matrices, Calculus, Sets & Numbers, Introduction to Statistical Modelling, Probability, and Data Structures & Algorithms. Expect to get hands-on with Java, tackle linear programming models, explore statistical inference using R, and develop clear algorithmic thinking.
Year 2
The second year deepens your statistical and computing knowledge, exploring topics like algorithms, databases, software engineering, and more. You’ll also begin experimenting with optional modules—perhaps AI, games and decisions, or data visualisation—giving you early flexibility to tailor your learning.
Year 3
In your final year, you’ll be free to steer your own learning journey, choosing from around 75% optional modules. Expect advanced topics like Machine Learning and Bayesian Forecasting, and a standout feature—a capstone Data Science Project where you design, analyse, and present a full-scale data analysis project.
Focus Areas: Combining mathematical and statistical modelling, algorithm design, software engineering, machine learning, data mining, and visualisation.
Learning Outcomes: Graduates will master rigorous analytical thinking, programming, statistical inference, algorithmic problem-solving, and independent project execution in real-world data scenarios.
Professional Alignment (accreditation): While specific professional accreditations aren’t mentioned, the programme is spearheaded by Warwick’s world-class Departments of Statistics, Computer Science, and Mathematics—offering exceptional teaching standards and industry-aligned content.
Reputation (employability rankings): Warwick’s Data Science degree equips you for high-demand careers in industries like finance, telecoms, pharma, manufacturing, and research. Employers value this blend of technical depth and flexible specialisation.
Students are immersed in real-world data challenges from day one. In the early years, you’ll build a strong foundation in mathematics, statistics, and computing. In the final year, you’ll take on a substantial Data Science project, gaining invaluable practical experience and insight into real research-style work—guided by faculty across the Statistics, Computer Science, and Mathematics departments. Additionally, all final-year BSc students complete a six-week full-time laboratory or data-analysis project, choosing from hundreds of available options and closely supported by academic staff.
Transitioning into the specifics of what this means for you:
Data Science Project and Final-Year Research: A significant, faculty-supported individual project—either lab-based or data-oriented—offering direct experience in designing, conducting, and presenting research.
Lab Access and Software Experience: Many modules integrate tools such as R—for exploratory data analysis, simulation, and statistical modelling—ensuring you’re comfortable applying techniques to real data.
Advanced Computational Modules: Electives like ST343 Topics in Data Science explore cutting-edge areas—think Hadoop, Spark, deep learning models, streaming algorithms—giving you exposure to industry-level systems and computational thinking.
Collaborative, Cross-Department Learning: The programme is co-delivered by the Departments of Statistics, Computer Science, and Mathematics (and also draws on Warwick Business School), meaning you benefit from interdisciplinary collaboration and varied expertise.
Placement and Exchange Opportunities: Though more common on related degrees, Warwick offers optional sandwich year opportunities—either in industry (placements) or via exchange programmes abroad, such as with HKUST. These are supported by the university’s Industrial Liaison Team and academic staff
Graduates of Warwick’s BSc Data Science program go on to roles where they transform complex data into actionable insights, often moving into fields like technology, finance, research, or consultancy. With a strong foundation in statistics, computing, and mathematics, they step into high-growth, high-impact careers from day one.
Here’s how Warwick supports your journey and what graduates typically achieve:
University services that help you land a job:
You’ll have access to Warwick’s dedicated Careers Service—which offers help with work experience, internships, and career development support. Additionally, the Student Opportunity Hub provides one-to-one guidance and events aimed at connecting students with employers.
Employment stats and salary figures:
— Around 90% of Data Science graduates are in work or further study 15 months after graduating.
— Average earnings 15 months post-graduation: £37,500, with a typical range of £33,500–£44,500.
— Longer-term earnings grow significantly—after 5 years, average salaries reach £59,000, with a spread of £46,500–£81,000.
University–industry partnerships:
As part of Warwick’s School of Engineering and Technology ecosystem, you benefit from innovation hubs like WMG (Warwick Manufacturing Group)—a high-value manufacturing R&D centre that bridges academia and industry through collaborative research and student engagement.
Long-term accreditation value:
The BSc Data Science is accredited by the Royal Statistical Society (RSS), granting eligibility for Graduate Statistician status—a mark of professional recognition with enduring value.
Graduation outcomes:
Graduates frequently move into highly skilled roles—around 50% become IT professionals, 10% go into finance, another 10% into science/engineering associate roles, and 10% into business/public service positions.
Further Academic Progression:
After earning your BSc, you’re well-positioned to advance academically—many students choose to proceed to Warwick’s MSci Data Science, which shares a common first two years with the BSc and leads into a year of advanced, master’s-level study and specialized dissertation work. Or, you could explore postgraduate opportunities in related areas like AI, machine learning, statistics, or computational sciences at Warwick or beyond—leveraging your robust analytical and technical foundation
92% in Higher Secondary Certificate/Standard XII/Class XII from CBSE and CISC. IELTS Score of 6.5 including minimum 6.0 in each component. A Levels: A*A*A to include A* A* in Mathematics and Further Mathematics, IB: 39 overall to include 7 in Higher Level Mathematics 'Analysis and Approaches'Applicants who are retaking or currently in a gap year are welcome to apply. If the Further Mathematics grade was achieved two years or more before entering university, applicants may be required to take the Further Mathematics exams again in the current academic year.Native language A levels subjects are accepted as one of the three A level subjects. All applicants have to meet our English Language requirements. If you cannot demonstrate that you meet these, you may be invited to take part in our Pre-sessional English course at Warwick.Data analystdata scientistmachine learning engineerbusiness intelligence analystquantitative analystsoftware engineerrisk analystoperations analystdata consultantfinancial analystresearch scientistbig data engineerstatistical modellerAI specialistsystems analystdata visualisation specialist
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University of Warwick
