Mathematics and Economics BSc (Hons)

4 Years On Campus Bachelors Program

University of Dundee

Program Overview

The Mathematics and Economics BSc (Hons) at the University of Dundee equips students to apply mathematical methods to understand and solve economic problems, blending quantitative rigour with economic insight. It’s ideal for learners interested in analysing economic systems and policymaking through mathematical modelling and critical thinking.

Curriculum Structure

Year 1
In the first year, students build core analytical and quantitative skills through modules like Core Mathematics I, Fundamental Algebra and Calculus, Logic and Proof, Statistics and Probability, Global Economic Perspectives, and Making of the Modern Economy. This mix of mathematics and introductory economics gives a balanced foundation in solving problems and understanding economic behaviours.

Year 2
The second year deepens both mathematical and economic understanding with units such as Core Mathematics III, Core Mathematics IV, Statistics and Data Analysis, Microeconomics, and Macroeconomics and Applied Policy. Students develop the ability to interpret data, model economic relationships, and apply mathematical techniques to finance and economic questions.

Year 3
In the third year, students encounter higher‑level topics including Microeconomic Analysis and Macroeconomic Analysis, alongside mathematical modules like Differential Equations, Vector Calculus, Scientific Computing and Numerical Methods, and Optimisation in Finance and Industry. This year strengthens analytical reasoning and equips students with tools for complex modelling and systems analysis.

Year 4
The final year focuses on advanced economic and quantitative study with units such as International Finance, Microeconomic Policy, Macroeconomic Theory, and the Mathematics Project. Optional modules — including Ordinary Differential Equations and their Approximation, Partial Differential Equations and their Approximation, and Mathematical Statistics — allow students to tailor the programme toward specialised interests in economics and mathematical applications.

Focus Areas
Mathematical modelling, economic theory, data analysis and interpretation, scientific computing, optimisation techniques, and policy evaluation.

Learning Outcomes
Graduates will develop strong mathematical reasoning, the ability to apply quantitative methods to economic issues, proficiency in statistical and computational tools, and the capacity to analyse and interpret data in economic and financial contexts.

Professional Alignment (Accreditation)
The programme integrates recognised academic standards across mathematics and economics, preparing students for analytical and policy‑oriented roles in finance, government, research, and consulting.

Reputation (Employability Rankings)
Mathematics at the University of Dundee is ranked 4th in Scotland by the Complete University Guide, and combining mathematical strength with economics enhances graduate prospects in analytical, financial, and policy‑related careers.

Experiential Learning (Research, Projects, Internships etc.)

Students in the Mathematics and Economics BSc (Hons) at the University of Dundee receive a highly practical education that blends mathematical rigour with economic reasoning. The programme is designed so that students not only master theory in lectures but also apply what they learn through tutorials, workshops, and computer-assisted sessions that mirror approaches used in research and industry. Students are supported in using professional mathematical software to explore models and datasets that help explain economic behaviours and inform decision-making in real contexts. Core and optional modules include collaborative group work, case studies, and industry guest lectures, helping students to build analytical confidence and readiness for employment or further study. As they progress to advanced levels, students can choose modules like Mathematics Work Placement or complete independent projects that deepen both technical and professional skills:

Professional Mathematical and Computational Tools: Students learn to use mathematical software and computational methods that are essential for modelling and data analysis in both mathematics and economics contexts.
Interactive Workshops and Tutorials: Regular tutorials and structured workshops give students hands-on practice applying theories to solve real problems, enhancing both technical skill and teamwork ability.
Computer-Assisted Learning: Computer lab sessions help students build confidence in programming and computational approaches that reflect contemporary practice across quantitative professions.
Optional Work Placement Module: The programme offers an optional Mathematics Work Placement that gives students the chance to gain real-world experience with organisations in finance, research, technology, or related sectors, applying analytical and problem-solving skills in a professional environment.
Independent Projects and Case Studies: Final-year project work and applied case studies support deep independent inquiry, letting students explore complex mathematical or economic topics and communicate their findings effectively.
Guest Lectures and Industry Engagement: Industry guest lectures expose students to current practitioners and insights from economic and quantitative sectors, broadening their contextual understanding.
Cross-Disciplinary Module Options: In early years, students can choose from a wide range of optional modules across disciplines such as computing, science, and business, expanding their analytical toolkit and interdisciplinary perspective.
Student Community and Societies: Participation in groups like the Investment Society and the Dundee University Maths Society (DUMaS) enriches academic life, builds networks, and provides opportunities to learn from peers and professionals outside the classroom.

Progression & Future Opportunities

Graduates of the University of Dundee Mathematics and Economics BSc (Hons) program develop strong analytical, quantitative, and economic reasoning skills that are highly sought after in business, finance, and public policy. The program equips students to apply mathematical techniques to economic problems, creating opportunities for both professional roles and further academic study:

Typical graduate roles include: Economic Analyst, Data Analyst, Policy Advisor, Financial Consultant

The University of Dundee supports career development and industry engagement through:

Dedicated employability support: Students benefit from the Careers Service, which offers tailored guidance including CV and application preparation, interview coaching, internships, and networking events with employers in economics, finance, and policy sectors.
Graduate outcomes and salary prospects: Graduates typically secure positions in economics, finance, and consultancy, with competitive starting salaries reflecting the strong quantitative and analytical skills gained.
University–industry partnerships: The program includes applied projects and collaborations with financial institutions, government agencies, and research organisations, providing practical experience and professional exposure.
Accreditation and long-term value: The degree meets professional standards in mathematics and economics, supporting eligibility for future professional recognition and membership in relevant industry bodies.
Graduate destinations: Alumni enter careers in finance, economic research, data analytics, government, and consultancy, while others pursue postgraduate study in economics, finance, or mathematics-related disciplines.

Further Academic Progression:
Graduates are well positioned to continue their studies with MSc programs in Economics, Financial Mathematics, Data Science, or related fields. The degree also provides a strong foundation for PhD-level study in economics, applied mathematics, or interdisciplinary research, supporting both academic and professional advancement.