BSc Mathematics, Operational Research Statistics and Economics

3 Years On Campus Bachelors Program

University of Southampton

Program Overview

The BSc MORSE at the University of Southampton is an interdisciplinary degree combining mathematics, statistics, operational research, and economics to tackle complex real-world problems. It’s ideal for students who enjoy analytical thinking and want careers in finance, data analysis, consulting, or economic research.


Curriculum structure

Year 1 – Core foundations in mathematics and economics
In your first year, you’ll study essential modules like Calculus, Linear Algebra, and Introduction to Economics, building strong analytical and quantitative skills. You’ll also explore Probability and Statistics, laying the groundwork for applied modelling and decision-making.

Year 2 – Developing applied and quantitative skills
The second year focuses on applying mathematics to economic and operational contexts through modules such as Intermediate Economics, Statistical Methods, and Operational Research Techniques. You’ll learn to model uncertainty, optimise systems, and analyse data effectively.

Year 3 – Advanced topics and specialisation
In the final year, you’ll study advanced modules like Stochastic Processes, Economic Modelling, and Applied Operational Research, integrating mathematical, statistical, and economic knowledge. A final-year project allows you to apply your skills to a substantial, real-world problem, demonstrating analytical and research expertise.


Focus areas:
Mathematics, statistics, operational research, economics, quantitative modelling, optimisation

Learning outcomes:
Ability to analyse and model complex systems, strong quantitative and statistical skills, interdisciplinary problem-solving, preparation for finance, consulting, or data-focused careers

Professional alignment (accreditation):
Accredited by the Institute of Mathematics and its Applications (IMA) and recognised by economic and operational research professional bodies, supporting career and postgraduate pathways.

Reputation (employability & rankings):
The University of Southampton is highly ranked in QS World University Rankings by Subject for Mathematics and Economics and is known for excellent graduate employability in quantitative and analytical roles.

Experiential Learning (Research, Projects, Internships etc.)

At the University of Southampton, the BSc Mathematics, Operational Research, Statistics and Economics (MORSE) degree offers a highly practical, interdisciplinary approach to mathematical and analytical problem-solving. From the start, you’ll learn to apply mathematics, statistics, and economic theory to real-world scenarios, supported by computing tools, collaborative projects, and research-led teaching. The programme equips you with skills that are directly valued by employers in finance, consulting, data analytics, and industry:

  • Specialist computing facilities within the School of Mathematical Sciences, used for modelling, simulations, and data analysis

  • Extensive use of MATLAB, Python, R, and Excel, integrated into modules for statistical analysis, operational research, and economic modelling

  • Group-based projects and workshops, reflecting professional problem-solving in interdisciplinary teams

  • Research-led teaching in mathematics, statistics, operational research, and economics, ensuring your learning is informed by current methodologies and applications

  • Opportunities for individual and applied projects, allowing you to explore topics such as optimisation, stochastic modelling, or econometrics in depth

  • Teaching and study spaces in the Zepler Building and other university facilities, including lecture theatres, seminar rooms, and collaborative computing labs

  • Full access to the Hartley Library, offering mathematics, statistics, and economics resources, including journals, textbooks, and online databases

  • Dedicated career and employability support, including guidance on analytics, financial modelling, research, and consultancy careers

This degree is ideal if you want a highly quantitative and interdisciplinary programme that prepares you for complex problem-solving roles across multiple sectors, while providing strong computational and analytical skills.

Progression & Future Opportunities

Graduates from the MMath Mathematics program develop advanced analytical and problem-solving skills, opening doors to careers in finance, data science, actuarial work, and research:

  • University Services for Employment: Southampton’s Careers and Employability Service provides tailored guidance, internship support, employer networking events, and access to mathematics-specific career fairs.

  • Employment Stats and Salary Figures: Over 90% of mathematics graduates secure employment or further study within six months of graduation, with average starting salaries ranging from £28,000–£45,000.

  • University–Industry Partnerships: Partnerships with organizations such as IBM, KPMG, and local tech and financial firms provide opportunities for placements, collaborative projects, and networking.

  • Long-Term Accreditation Value: Accredited by the Institute of Mathematics and its Applications (IMA), giving graduates eligibility for chartered mathematician status.

  • Graduation Outcomes: Graduates commonly work in quantitative analysis, software development, financial modelling, operational research, and academic or industrial research roles.

Further Academic Progression:
Graduates can pursue MSc or PhD programs in Mathematics, Applied Mathematics, Data Science, Financial Mathematics, or Mathematical Modelling. The MMath provides an excellent foundation for research-led careers and advanced academic study.

Program Key Stats

£26,500 (Annual cost)
£9,535
£ 29
Sept Intake : 14th Jan


No
Yes

Eligibility Criteria

AAA
3.4
36
75

1350
29
6.5
90
No

Additional Information & Requirements

Country Requirements

Career Options

  • Data Analyst
  • Statistician
  • Actuary
  • Financial Analyst
  • Investment Analyst
  • Quantitative Researcher
  • Operations Research Analyst
  • Risk Analyst
  • Economist
  • Market Research Analyst
  • Business Analyst
  • Data Scientist
  • Cryptographer
  • Software Developer
  • Machine Learning Engineer
  • Accountant
  • Auditor
  • Teacher
  • Research Scientist
  • Meteorologist
  • Biostatistician
  • Financial Planner
  • Mathematical Modeler
  • Academic Researcher
  • Artificial Intelligence Specialist

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