BSc (Hons) Mathematics (with Statistics)

3 Years On Campus Bachelors Program

Keele University

Program Overview

Keele’s BSc (Hons) Mathematics with Statistics gives you a powerful blend of pure mathematics, applied mathematics, and statistical theory, allowing you to understand both abstract concepts and real-world data. It’s ideal for students who enjoy logical reasoning, problem solving, and want to apply mathematics to fields like finance, healthcare, or research.

Curriculum Structure

Year 1:
In the first year, you build a solid foundation through modules such as Sets, Functions and Proofs, learning the principles of rigorous proof, and Limits, Series and Calculus, covering differentiation, integration, and infinite series. Mathematical Methods revisits algebra, vectors, and trigonometry, while Mathematical Communication, Investigations and Problem Solving develops teamwork and problem-solving skills. You also begin exploring data analysis using statistical software, connecting theoretical concepts to practical applications.

Year 2:
The second year deepens your understanding of both mathematics and statistics. You study Differential Equations and Multivariable Calculus, tackling systems that evolve over time and functions of multiple variables. Computational and statistical skills are developed further through programming with Python and modules in probability and statistical theory. Optional modules allow you to explore areas like Dynamics, Real Analysis, or a flexible Work Placement to gain professional experience.

Year 3:
In the final year, the statistics component becomes central, with modules such as Financial Mathematics, modelling markets, derivatives, and risk, and Medical Statistics, applying statistical methods to public health and clinical research. You also complete a Project, a supervised independent investigation where you apply mathematical and statistical methods to a real-world problem. Optional modules such as Partial Differential Equations provide further opportunity to specialize in applied or theoretical topics, preparing you for employment or postgraduate study.

Focus Areas

Probability theory, statistical inference, mathematical modelling, applied calculus, computational mathematics.

Learning Outcomes

You will graduate able to reason rigorously about both abstract mathematics and real-world data, apply statistical software for analysis, build mathematical models, work independently on projects, and communicate mathematical and data-driven results effectively.

Professional Alignment (Accreditation)

This degree is accredited by the Institute of Mathematics & its Applications (IMA) and meets the educational requirements for Chartered Mathematician status (with further professional training and experience).

Reputation (Employability / Rankings)

Keele Mathematics is ranked among the Top 5 in the UK for student satisfaction and Top 10 for Mathematics in national university guides. The course equips graduates with statistical and analytical skills, experience in real-world applications, and employability across finance, healthcare, consultancy, government, and research sectors.

Experiential Learning (Research, Projects, Internships etc.)

The Mathematics (with Statistics) degree at Keele integrates rigorous mathematical training with statistical theory and data analysis skills. From the beginning, you’ll work with real datasets, computational tools, and statistical software, developing practical skills alongside theoretical understanding. By your final year, you’ll undertake an independent project or applied research study, giving you hands-on experience in analysing, interpreting, and presenting data in meaningful ways.

Here’s how experiential learning is structured in this program:

Computer Laboratories: Access to Keele’s School of Computer Science & Mathematics labs (200+ PCs), with both Windows and Linux platforms available 24/7 for programming, simulations, and data analysis.
Makerspace & High-Performance Computing: Facilities include Raspberry Pis, Arduinos, and a CUDA GPU supercomputer cluster to support computationally intensive simulations and statistical modelling.
Statistical Software: Training in R, Python, SPSS, and MATLAB is embedded into modules to handle real datasets, perform regression, and develop predictive models.
Virtual Learning Environment (KLE): Lecture materials, lab exercises, and assignments are accessible online, supporting flexible study and remote engagement.
Tutorials & Academic Mentoring: Regular problem-solving tutorials combined with one-to-one mentoring by Academic Mentors and Subject Advice Tutors, helping students tackle both mathematical and statistical challenges.
Applied Group Projects: Modules incorporate collaborative projects where you analyse datasets, apply statistical methods, and present results — simulating real-world professional or research work.
Final Year Project / Independent Study: A major project allows you to apply statistical methods to real or simulated data under supervision, develop reports, and give seminar presentations.
Modules with Practical Focus: Courses such as Probability, Regression & Modelling, Statistical Inference, and Computational Statistics provide hands-on learning using real-world applications.
Professional Experience Option: There’s a flexible work placement opportunity, enabling exposure to industry applications of mathematics and statistics.
Library & Study Resources: Keele’s University Library provides comprehensive support with access to books, journals, and online databases for statistical research and coursework.
Academic Mentor & Support: Continuous support from Academic Mentors ensures students reflect on their learning, develop problem-solving skills, and gain confidence applying statistical methods.

Progression & Future Opportunities

Graduates from Keele’s BSc in Mathematics (with Statistics) are equipped with strong analytical and statistical skills, making them highly employable in sectors such as data analytics, finance, research, and technology. Typical roles include: Data Analyst, Statistician, Quantitative Analyst, and Research Assistant. Keele ensures students are career-ready through a range of services and opportunities:

University Career Services: Keele’s Careers & Employability team provides personalized support including one-to-one advice, CV and interview workshops, career fairs, and access to exclusive graduate job listings, helping students secure professional roles.
Employment stats and salary figures: More than 90% of graduates secure graduate-level employment within six months, with starting salaries typically ranging from £27,000–£34,000 depending on the sector.
University–industry partnerships: Keele partners with companies such as PwC, BAE Systems, and regional analytics and tech firms, offering internships, real-world projects, and networking opportunities to enhance employability.
Long-term accreditation value: The program is accredited by the Institute of Mathematics and its Applications (IMA), giving international recognition and professional credibility to your degree.
Graduation outcomes: Graduates leave with strong quantitative, analytical, and statistical skills, making them competitive candidates for careers in data science, finance, research, technology, and consultancy roles.

Further Academic Progression:
Graduates can pursue advanced studies such as MSc Data Science, MSc Statistics, MSc Financial Mathematics, or a PhD in Statistics/Mathematics. The program also provides a solid foundation for professional qualifications, including actuarial exams, research roles, and specialized analytics positions in various industries.