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3 Years On Campus Bachelors Program
Royal Holloway University of LondonThe BSc Mathematics with Statistics at Royal Holloway is designed for students who enjoy problem-solving and want a strong mathematical foundation with practical statistical skills that employers value. You’ll study core mathematics alongside applied statistics, preparing you for careers in data, finance, research, and beyond, or for further postgraduate study.
Curriculum structure
Year 1 – Building strong foundations
In your first year, you’ll develop the essential language of mathematics through core modules such as Calculus and Linear Algebra, which underpin all advanced mathematical study. Alongside this, introductory Probability and Statistics helps you understand data, uncertainty, and real-world variability from the start.
Year 2 – Applying mathematics and statistics
The second year deepens your analytical ability with modules like Statistical Methods and Regression Analysis, where you learn how to model data and draw meaningful conclusions. At the same time, more advanced mathematics modules strengthen your theoretical understanding and problem-solving confidence.
Year 3 – Specialisation and real-world relevance
In your final year, you’ll tailor the degree to your interests through advanced options such as Statistical Inference and Stochastic Processes, focusing on how statistics is used in research and industry. Many students also complete a final-year project, allowing you to apply mathematical and statistical theory to a topic you care about.
Focus areas:
Pure mathematics, applied mathematics, probability theory, statistical modelling, data analysis, quantitative problem-solving
Learning outcomes:
Strong mathematical reasoning, ability to analyse and interpret data, statistical modelling skills, logical thinking, preparation for data-driven and analytical careers
Professional alignment (accreditation):
Accredited by the Institute of Mathematics and its Applications (IMA), supporting progression towards professional recognition.
Reputation (employability & rankings):
Royal Holloway is consistently recognised in the QS World University Rankings by Subject for Mathematics and is known for strong graduate outcomes and academic quality within the University of London.
At Royal Holloway, University of London, students on the BSc Mathematics with Statistics programme build practical, real-world skills alongside strong theoretical foundations. From the start, you’ll be learning how to analyse data, model uncertainty, and solve complex problems using the same tools and approaches applied in industry, finance, research, and technology. Teaching is closely connected to active research, and you benefit from specialist facilities designed to support both individual and collaborative learning—bridging the gap between mathematical theory and statistical application:
Dedicated Computer Laboratories within the Department of Mathematics, equipped with specialist mathematical and statistical software used throughout the degree
Statistical and mathematical software such as R, MATLAB, and Python, embedded into modules for data analysis, modelling, and computational statistics
Group-based problem-solving and coursework projects, allowing you to apply statistical methods collaboratively and build teamwork skills valued by employers
Research-led teaching, with staff who are active researchers in statistics, probability, and applied mathematics, bringing current methodologies directly into the classroom
Independent research and extended project opportunities in later years, where you explore statistical modelling or mathematical analysis in depth
Access to the Emily Wilding Davison Building, home to the Mathematics Department, providing teaching spaces, study areas, and computing facilities
Full use of the Royal Holloway Library, offering extensive mathematics and statistics textbooks, academic journals, online databases, and quiet study zones
Career-focused support through Royal Holloway’s employability and skills programmes, helping students prepare for careers in data science, finance, actuarial work, research, and further study
These hands-on learning opportunities ensure that graduates leave Royal Holloway not only with strong mathematical reasoning, but also with the statistical and computational skills needed in modern, data-driven careers.
Graduates from BSc Mathematics with Statistics at Royal Holloway, University of London are well placed for strong career outcomes, thanks to a balance of rigorous mathematical theory and practical statistical skills. Employers value Royal Holloway graduates for their analytical thinking, problem-solving ability, and data literacy, all of which translate directly into high-demand roles across multiple sectors. Typical graduate roles include Data Analyst, Statistician, Actuarial Analyst, and Quantitative Researcher:
Careers & Employability Support (specific services)
Royal Holloway’s Careers Service offers one-to-one career coaching, CV and application reviews, interview preparation, and assessment centre practice.
Access to RH Futures, the university’s employability programme, which helps students build professional skills, gain work experience, and connect with employers throughout their degree.
Opportunities for industrial placements and internships, supported by academic staff and the careers team.
Graduate Employment & Salary Outcomes
According to official Royal Holloway graduate outcomes data, the vast majority of Mathematics graduates are in employment or further study within 15 months of graduation.
Mathematics and statistics graduates typically move into above-average starting salaries, particularly in finance, data science, technology, and consultancy roles.
University–Industry Links (specific)
Royal Holloway has strong links with employers in finance, insurance, data analytics, and technology, helping to shape course content and student opportunities.
Guest lectures, careers events, and employer-led workshops expose students to real-world applications of mathematics and statistics.
Accreditation & Long-Term Value
The degree is designed to align with expectations of professional bodies such as the Institute of Mathematics and its Applications (IMA), enhancing long-term professional recognition.
A mathematics and statistics degree from a University of London institution carries strong international academic credibility.
Graduation Outcomes
Graduates progress into roles across banking, insurance, government, data science, education, and research, or continue into postgraduate study at leading universities in the UK and abroad.
Further Academic Progression:
After completing the BSc Mathematics with Statistics, students can continue their studies with postgraduate MSc programmes in areas such as Statistics, Data Science, Financial Mathematics, Actuarial Science, or Mathematics at Royal Holloway or other top universities. The degree also provides a strong foundation for PhD research, teacher training (PGCE), or professional qualifications in actuarial science, finance, and analytics.
A-Level: Applicants studying A-Levels are expected to achieve grades ranging from ABB to ABC, depending on subject combinations. A strong performance in A-Level Mathematics at grade A is mandatory.GCSE: Students must have completed GCSE English and Mathematics with a minimum grade of 4 or C.International Baccalaureate (IB): IB students should achieve 6, 5, 5 at Higher Level, or a minimum total score of 32 points overall. This must include HL Mathematics: Analysis and Approaches (grade 6), or SL Mathematics: Analysis and Approaches (grade 7), or HL Mathematics: Applications and Interpretation (grade 7).IELTS: Applicants must demonstrate English language proficiency with an overall IELTS score of 6.5. No individual band score should be below 5.5, ensuring balanced language skills across all areas.TOEFL iBT: For TOEFL iBT, a minimum overall score of 88 is required. Section-wise, candidates must score at least 18 in Reading, 17 in Listening, 20 in Speaking, and 17 in Writing.UCAS: Applications must be submitted through UCAS, following standard UK undergraduate application procedures.American: Students following the American curriculum must achieve a grade of 4 in at least two relevant AP examinations. Alternatively, applicants may qualify with an ACT composite score of 25 (including writing) or an SAT score between 1100–1200.CBSE: Applicants from India are required to score a minimum of 75% overall in their Higher Secondary School Certificate. Additionally, a minimum of 85% must be achieved in any subject that is considered equivalent to the required A-Level subjects.Data AnalystStatisticianActuaryFinancial AnalystInvestment AnalystQuantitative ResearcherOperations Research AnalystRisk AnalystEconomistMarket Research AnalystBusiness AnalystData ScientistCryptographerSoftware DeveloperMachine Learning EngineerAccountantAuditorTeacherResearch ScientistMeteorologistBiostatisticianFinancial PlannerMathematical ModelerAcademic ResearcherArtificial Intelligence Specialist
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