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3 Years On Campus Bachelors Program
University of ReadingThe BSc Mathematics and Statistics with Data Science at the University of Reading is designed for students aiming to master mathematical theory, statistical analysis, and data science techniques. This program equips you with the skills to tackle real-world problems across sectors like finance, healthcare, and climate science.
Curriculum Structure
Year 1
In your first year, you'll establish a solid foundation in mathematics and statistics. Modules include Calculus, Linear Algebra, and Probability and Statistical Theory, providing essential tools for data analysis. You'll also delve into Programming for Data Science, learning to handle data using modern computational techniques.
Year 2
The second year builds on your foundational knowledge, introducing more advanced topics. Modules such as Numerical Analysis, Differential Equations, and Linear Models and Data Analysis deepen your understanding of mathematical and statistical methods. You'll also explore Data Science Methods, applying theoretical concepts to real-world datasets.
Year 3
In your final year, you'll have the opportunity to specialize further. Modules like Methods of Machine Learning, Dynamical Systems and Applications, and Mathematical and/or Statistical Project Work allow you to focus on areas of particular interest. This year emphasizes independent research and application of knowledge.
Focus Areas
Mathematical Theory, Statistical Analysis, Data Science Techniques, Machine Learning, Computational Methods
Learning Outcomes
Proficiency in mathematical modeling, statistical inference, data analysis, programming for data science, and machine learning applications.
Professional Alignment
The program is accredited by the Institute of Mathematics and its Applications (IMA), aligning with professional standards for mathematicians.
Reputation
The University of Reading is recognized for its strong employability outcomes, with graduates in mathematical sciences achieving high employment rates and competitive salaries.
If you're passionate about data and eager to apply mathematical and statistical methods to solve complex problems, this program offers the comprehensive education and practical experience to launch your career.
At the University of Reading, students pursuing the BSc Mathematics and Statistics with Data Science gain extensive practical experience designed to complement theoretical knowledge. The program emphasizes hands-on learning, where students actively engage with real datasets, statistical modeling, and computational tools. Access to specialized software and computing facilities allows learners to simulate real-world data scenarios, develop analytical skills, and collaborate on meaningful projects that mirror industry challenges. This approach ensures graduates are well-prepared for careers in data-driven fields and can confidently apply their skills in practical contexts.
Experiential learning in this program includes:
Extensive use of specialist software such as R, Python, and SQL for data analysis and statistical computing.
Opportunities for group projects and collaborative assignments that mimic professional data science workflows.
Internships and work placements that provide real-world experience in industry settings.
Access to dedicated computing laboratories and high-performance computing facilities for data modeling and simulations.
Hands-on research experience supported by Mathematics and Statistics Department labs.
Use of the University Library and online digital resources for data sources, journals, and research materials.
Participation in field trips and practical workshops to observe and analyze real-world data collection and statistical applications.
Engagement with research institutes and centers affiliated with the University for specialized data science projects.
This combination of facilities, software, and practical exposure ensures that students not only understand mathematical and statistical theories but also develop the skills needed to apply them effectively in professional environments.
Graduates of the BSc Mathematics and Statistics with Data Science at the University of Reading step into the world of work with a strong mix of skills in mathematics, statistical thinking, and data science. This combination makes them highly sought after for roles like Data Analyst, Statistician, Data Scientist, or Quantitative Analyst, as well as many other positions in data-driven industries.
Key Highlights
Employment Support
From day one, you’ll have access to tailored career services designed to help you succeed. Whether it’s CV workshops, mock interviews, or guidance on placements, the university makes sure you’re well-prepared to impress future employers.
Employment Success
An impressive 92% of graduates from Mathematics and Statistics at Reading are either working or continuing their studies within 15 months of graduation — a clear sign of the program’s strength in preparing students for the next step.
Industry Links
The University of Reading works closely with leading employers such as Deloitte, Grant Thornton, PepsiCo, Lloyds Banking Group, PwC, IBM, BDO, and the NHS. These connections open doors for internships, networking, and career opportunities with some of the biggest names across different sectors.
Professional Accreditation
This program is accredited by the Institute of Mathematics and its Applications (IMA), which means it meets the educational requirements needed to work towards becoming a Chartered Mathematician — a respected professional qualification.
Graduation Outcomes
Graduates go on to secure roles in a wide variety of industries, from finance and consultancy to technology and healthcare, reflecting the program’s real-world relevance and strong reputation.
Further Academic Progression
If you want to continue your academic journey, the University of Reading offers a range of master’s programs in mathematics, statistics, and data science, giving you the chance to specialise or dive into research. The IMA accreditation also supports progression to Chartered Mathematician status, strengthening your professional profile and opening up even more opportunities in your career.
A-level: ABC / Applicants with one grade lower than ABC with A in Maths if the university is chosen as the firm choice—for example, BBC with B in Maths or ABD with A or B in Maths.If a student takes an EPQ alongside A levels, achieving a B in the EPQ allows acceptance with ACC at A level if they have an A in Mathematics. If the university is their Firm choice, BCC at A level with a B in Mathematics and a B in the EPQ is also accepted.IB: The university requires 30 points overall, including 6 in Higher Level Maths, but will accept 28 points with 5 in Higher Level Maths if chosen as the firm choice.IELTS 6.5, with no component below 5.5 / TOEFL: 88Indian English requirement- CBSE/ICSE: 70%; all other boards 75%For Indian Applicants: Completed Higher Secondary School Certificate (Standard XII) with average scores ranging from 83% to 70%For US Applicants: Applicants with a High School Diploma (minimum GPA 3.0) are generally considered if they present one of the following: three AP scores (444–554), three SAT Subject scores (630–680),or an ACT composite of 27–29 from a single sitting. In some cases, SAT General results may be accepted in place of one AP or SAT Subject score.Data AnalystStatisticianData ScientistBusiness AnalystQuantitative AnalystActuaryOperations Research AnalystFinancial AnalystMarket Research AnalystRisk AnalystData EngineerMachine Learning EngineerBiostatisticianEconometricianArtificial Intelligence Specialist
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