BSc Hons Mathematics with Statistics

3 Years On Campus Bachelors Program

University of Portsmouth

Program Overview

The Mathematics with Statistics BSc (Hons) at the University of Portsmouth combines rigorous mathematical reasoning with powerful statistical methods, preparing students to analyse and interpret data in real-world contexts. It suits learners who are curious about patterns and numbers and want to apply analytical and statistical skills across areas such as finance, healthcare, and research.

Curriculum Structure

Year 1:
In the first year, students build a strong foundation in essential mathematical and statistical concepts. They study modules such as Calculus I, Linear Algebra, and Statistical Theory and Methods I, developing skills in problem-solving, probability, and data interpretation. Students also gain practical computational experience through Introduction to Computational Methods, learning to use programming and modelling tools for real-world applications.

Year 2:
The second year expands both analytical and statistical expertise. Core units like Calculus II, Applications of Mathematics and Graduate Skills, and Statistical Theory and Methods II advance knowledge in multivariable calculus, differential equations, and statistical modelling. Optional modules such as Operational Research, Mathematical Methods for Machine Learning, or Real and Complex Analysis allow students to specialise their skill set and apply mathematical insight to practical challenges.

Year 3:
In the final year, students refine their specialist knowledge in statistics and its applications. Modules such as Statistical Methods in Health Research and Social Science and Statistical Learning focus on advanced data analysis, multivariate methods, and predictive modelling using tools like R and Python. Optional modules including Stochastic Processes, Quantitative Supply Chain Management, or a Project encourage independent, career-aligned problem solving.

Focus Areas:
Mathematical reasoning · Statistical theory and modelling · Data analysis · Computational methods · Real-world applications

Learning Outcomes:
Graduates develop strong analytical and statistical skills, can apply mathematical models to complex datasets, use computational tools effectively, and communicate quantitative insights clearly for careers in data science, research, business analytics, and related fields.

Professional Alignment (Accreditation):
The degree is accredited by the Institution of Mathematics and Its Applications (IMA), ensuring alignment with recognised standards in mathematical and statistical professions.

Reputation (Employability Rankings):
Mathematics at Portsmouth is recognised for high student satisfaction and strong teaching quality, ranking among the top UK universities for student experience and preparing graduates for successful careers.

Experiential Learning (Research, Projects, Internships etc.)

The BSc (Hons) Mathematics with Statistics at the University of Portsmouth enables students to combine strong mathematical foundations with practical statistical skills. Through hands-on coursework, real data analysis, and specialist computing exercises, students develop capabilities that are directly applicable to professional roles. Dedicated computer labs and support spaces allow learners to practise and refine their techniques, while independent projects and an optional placement year provide opportunities to apply skills in real-world settings.

Hands‑on experiences and tools include:

Computer laboratories where students use Python, R and MATLAB for statistical modelling, simulations, and data analysis tasks.
Specialist statistical software including Minitab, SPSS and R to handle real datasets, perform analysis, and develop quantitative models.
The Maths Café, a drop-in support space for guided problem solving and strengthening understanding of mathematical and statistical concepts.
Interactive group projects and assessments, allowing teams to solve open-ended problems and present data-driven solutions.
Optional placement year, providing extended industry experience, project work with employers, and opportunities to build professional networks.
Independent project opportunities in the final year, enabling students to select a topic of interest and apply statistical methods to real questions.

CORE PRACTICAL LEARNING EXPERIENCES

Statistical theory and methods, including data interpretation, probability models, and regression analysis.
Advanced statistical learning using modern datasets and open-source tools to develop techniques relevant to data roles.
Health and social science statistics modules, involving practical data handling and multivariate analysis.

ACADEMIC SUPPORT AND LEARNING ENVIRONMENT
Students benefit from regular tutorials, blended teaching approaches combining lectures, workshops, and online resources, as well as access to libraries and study spaces that support independent learning.

Progression & Future Opportunities

Graduates from the BSc Hons Mathematics with Statistics at the University of Portsmouth are equipped to pursue analytical and data-driven careers in sectors such as finance, research, technology, and public policy. The program develops both theoretical mathematical understanding and applied statistical expertise, preparing students for roles such as Statistician, Data Analyst, Actuarial Analyst, and Quantitative Researcher.

Career and Employability Highlights:
• Careers and Employability Service: Students receive personalised career guidance, CV and interview preparation, internships, and job search support through the University’s Careers and Employability Service, available up to five years after graduation.
• Industry-Relevant Skills: The program provides practical experience with statistical software and programming tools such as R, Python, and Excel, ensuring graduates meet employer requirements.
• University-Industry Alignment: Modules and projects focus on real-world applications across finance, business analytics, healthcare, and government data analysis, providing experience relevant to industry needs.
• Accreditation Value: The program builds on the Mathematics Department’s well-established reputation and accredited courses, offering graduates a respected academic profile valued by employers.
• Graduate Outcomes: Mathematics graduates from Portsmouth consistently secure highly skilled roles within 15 months, including positions in data analysis, statistical modelling, and quantitative research.

Typical Career Roles:
• Statistician
• Data Analyst
• Actuarial Analyst
• Quantitative Researcher

Further Academic Progression:
Graduates can continue with master’s degrees in Statistics, Data Science, Actuarial Science, or Applied Mathematics. Students with research interests may pursue PhD study in statistics, mathematics, or related analytical fields, while professional postgraduate qualifications offer pathways to actuarial accreditation or specialist statistical expertise.