BSc Hons Mathematics

3 Years On Campus Bachelors Program

Nottingham Trent University

Program Overview

The BSc (Hons) Mathematics at Nottingham Trent University provides a broad yet rigorous foundation in modern mathematical theory and applications. It’s ideal for students who enjoy problem-solving, abstract thinking, and modelling — whether your goal is a career in data, finance, education, or research, this degree equips you with the skills to succeed.

Curriculum Structure

Year 1
Your first year introduces the essential building blocks of mathematics. Modules include Calculus, Data Analysis, Introduction to Linear Algebra and Computation, Introduction to Discrete Mathematics and its Applications, and Foundations of Pure Mathematics. These courses develop your analytical thinking, understanding of structure, and ability to work with data.

Year 2
The second year deepens your knowledge through modules such as Linear Algebra and its Applications, Differential Equations, Probability & Statistical Inference, and Advanced Calculus. Mathematical Enterprise encourages applying mathematics to real-world problems, while Cryptography & Computational Complexity explores how maths underpins security and computing.

Placement Year (Optional)
If you choose the sandwich (placement) option, your third year is spent working in a professional environment. This provides valuable experience, allowing you to apply your mathematical knowledge in practice and develop skills that boost employability.

Final Year
In your final year, you complete a Project & Professional Skills module and study core topics like Numerical Analysis & Dynamical Systems and Linear Systems. You also select advanced optional modules such as Differential & Integral Equations, Stochastic Processes, Optimisation, Experimental Design & Machine Learning, Partial Differential Equations, Medical Statistics & Financial Modelling, or Graph Theory & Combinatorics, letting you specialise according to your interests and career goals.

Focus Areas:
Pure mathematics, applied mathematics, computational mathematics, statistics, optimisation, and dynamical systems.

Learning Outcomes:
Graduates will be able to analyse and solve complex mathematical problems, model real-world systems using differential and linear equations, apply statistical methods to data, and complete an independent mathematical project.

Professional Alignment (Accreditation):
The course is accredited by the Institute of Mathematics and its Applications (IMA), aligning it with professional standards and supporting progression toward Chartered Mathematician status.

Reputation (Employability Rankings):

NTU mathematics graduates enjoy strong employability, moving into careers in data science, finance, software, teaching, and research.
The optional sandwich year and NTU’s industry connections help students gain practical experience and build professional networks.

Experiential Learning (Research, Projects, Internships etc.)

The BSc (Hons) Mathematics at NTU is designed to help you apply mathematics from day one. Instead of learning concepts in isolation, you explore them through practical workshops, computer-based sessions, and structured problem-solving activities. You’ll use mathematical and statistical software to test ideas, run simulations, and build models that reflect real situations in science, finance, technology, and data. As you progress to the final year, you take on an individual project supervised by a specialist — giving you the chance to research a mathematical topic in depth or develop a computational model, just like in a professional quantitative or research role.

To show how your practical learning will develop, here are the key experiential elements:

Key Experiential Features

Optional Industry Placement Year: You can take a full-year placement between your second and final year, giving you real experience in fields like data analysis, finance, software, or applied research.
Mathematics Undergraduate Researchers Studentship (MURS): You can apply for a funded summer research placement to work directly with academic staff on genuine mathematical research projects.
Project & Professional Skills Module: This module builds your teamwork, communication, project planning, and presentation abilities — essential for both academic and industry careers.
Mathematical & Statistical Software Use: Many modules include computer workshops where you work with specialist software to model systems, analyse datasets, and explore simulations.
Final-Year Individual Project: Guided by a supervisor, you complete a substantial research or modelling project in a topic such as pure maths, applied maths, statistics, or computational mathematics.
Optional Advanced Modules: In later years, you can specialise in areas like dynamical systems, stochastic processes, numerical analysis, optimisation, machine learning foundations, or graph theory.
Modern Computing and Study Facilities: At Clifton Campus, you’ll have access to dedicated computer labs, specialist teaching spaces, and innovative environments including VR and 3D-visualisation tools where mathematical concepts can be explored interactively.
Diverse Assessments: You’ll be assessed through exams, coursework, presentations, group work, and computational tasks — helping you build a broad skill set.
Strong Academic Support: A personal tutor guides you throughout the degree, helping with academic progress, project development, and future planning.
Entrepreneurial Opportunities: NTU Enterprise supports students interested in turning mathematical ideas or data-driven concepts into real products or startup ventures.

Progression & Future Opportunities

Graduates from NTU’s BSc (Hons) Mathematics move into careers where analytical thinking, problem-solving, and strong numerical skills are essential. Many secure roles in finance, data-driven industries, research environments, and technology because employers value the programme’s blend of theory, statistical modelling, and practical application. This degree opens doors to a wide range of mathematically focused professions.

Typical job roles include:
• Data Analyst
• Financial Analyst
• Statistician
• Risk Analyst

Because NTU places such a strong emphasis on employability, you gain access to a range of specialist services and opportunities that genuinely strengthen your career prospects:
• Dedicated Employability Team: Offers 1-to-1 career coaching, CV refinement, mock interviews, networking events, and access to NTU’s large employer network specifically tailored to STEM students.
• Paid Work Experience: NTU’s placement service supports students in securing internships, year-long placements, and industry-focused projects with companies in finance, insurance, data science, and technology.
• Industry Partnerships: The School of Science and Technology collaborates with organisations in the financial services, tech, and analytics sectors—giving students opportunities for employer-led projects and real-world problem-solving.
• Strong Graduate Outcomes: A high proportion of mathematics graduates move into skilled professional or further study pathways soon after completing the degree, reflecting NTU’s strong career-focused teaching and support.
• Long-Term Professional Value: The rigorous mathematical training develops skills that remain relevant and highly sought after across industries including actuarial science, finance, technology, and predictive analytics.

Further Academic Progression:

After completing this degree, students can continue into advanced study such as MSc Applied Mathematics, MSc Data Science, MSc Financial Mathematics, or other quantitative postgraduate programmes. Many also progress toward professional routes such as actuarial qualifications, data science certifications, or research-focused postgraduate degrees (MPhil/PhD) to deepen expertise and expand career opportunities.