Mathematics and Financial Economics BSc (Hons)

4 Years On Campus Bachelors Program

University of Dundee

Program Overview

The Mathematics and Financial Economics BSc (Hons) at the University of Dundee combines rigorous mathematical modelling with core economic and financial theory so students can tackle real‑world quantitative challenges. It suits students who enjoy both numbers and economics, opening pathways into careers in finance, banking, research, or economic analysis.

Curriculum Structure

Year 1
In the first year, students build strong foundations in mathematics and economics with modules such as Core Mathematics I, Fundamental Algebra and Calculus, Global Economic Perspectives, and Making of the Modern Economy. These units introduce key quantitative skills alongside essential economic thinking, giving students the analytical tools needed for both mathematical and financial problem solving.

Year 2
The second year deepens understanding through Core Mathematics III, Core Mathematics IV, Statistics and Data Analysis, Microeconomics, and Macroeconomics and Applied Policy. This blend of advanced mathematical techniques and economic theory helps students begin to apply mathematics to economic and policy‑related questions.

Year 3
In the third year, students encounter more specialised topics including Microeconomic Analysis, Macroeconomic Analysis, Differential Equations, Vector Calculus, Scientific Computing and Numerical Methods, and Optimisation in Finance and Industry. These modules strengthen analytical reasoning and equip students with practical skills relevant to financial modelling and industry applications.

Year 4
The final year focuses on advanced financial and economic mathematics with modules such as Microeconomic Policy, Options, Futures, and Valuations, Asset Pricing, and a substantial Mathematics Project. Students may also choose optional units like Partial Differential Equations and their Approximation or Mathematical Statistics, allowing them to tailor their degree towards specific interests in finance and analytics.

Focus Areas
Mathematical modelling, financial economics, statistics and data analysis, scientific computing, optimisation, and economic policy evaluation.

Learning Outcomes
Graduates gain advanced mathematical reasoning, strong competence in financial and economic theory, data analysis and computational skills, the ability to model and solve complex quantitative problems, and experience in applying mathematical methods to real‑world economics and finance.

Professional Alignment (Accreditation)
This programme reflects high academic standards in both mathematical sciences and economics, preparing students for professional roles in financial sectors, economic research, and quantitative analysis.

Reputation (Employability Rankings)
Mathematics at the University of Dundee is ranked 4th in Scotland by the Complete University Guide, and combining this strength with economics and finance positions graduates competitively in quantitative and financial careers.

Experiential Learning (Research, Projects, Internships etc.)

Students in the Mathematics and Financial Economics BSc (Hons) at the University of Dundee develop strong practical, analytical, and economic reasoning skills that extend well beyond classroom theory. The programme combines mathematics with financial economics, allowing learners to engage with real-world data and quantitative models through interactive lectures, tutorials, workshops, and computer-assisted sessions that mirror current industry practice. Students practise using professional mathematical software and computational techniques to explore models relevant to economics and finance, while group work, case studies, and projects provide opportunities to apply their learning in realistic contexts. As students advance, optional placements and independent projects deepen their understanding and prepare them for careers in finance, economic research, data analysis, and related fields:

Professional Mathematical and Quantitative Tools: Students gain hands-on experience with industry-standard mathematical software and computational tools used for modelling, data analysis, and solving financial problems.
Workshops and Tutorials: Structured tutorials and workshops support collaborative problem-solving and help students apply theoretical concepts to practical economic and financial scenarios.
Computer-Assisted Learning: Computer lab sessions develop students’ ability to use programming and computational methods to tackle mathematical and economic challenges, reflecting professional practice.
Optional Mathematics Work Placement: The programme includes an optional work placement module that enables students to gain real-world experience in finance, technology, research, or other analytical sectors.
Independent Projects and Case Studies: Students undertake extended projects and case studies that develop independent research skills and deepen understanding of financial economics topics.
Guest Lectures and Industry Engagement: The curriculum includes industry guest lectures, providing exposure to current professionals and insights into economic and financial practice.
Cross-Disciplinary Learning Opportunities: Early-level modules allow students to explore optional subjects across computing, science, and other disciplines, broadening analytical and interdisciplinary skills.
Student Community and Societies: Participation in societies such as the Investment Society and the Dundee University Maths Society fosters peer learning, networking, and practical engagement with the field.

Progression & Future Opportunities

Graduates of the University of Dundee Mathematics and Financial Economics BSc (Hons) program gain a strong combination of quantitative, analytical, and financial skills, preparing them for careers in finance, economics, and data-driven industries. The program equips students to make strategic decisions in complex economic environments and provides a pathway to specialised postgraduate study:

Typical graduate roles include: Financial Analyst, Risk Analyst, Data Analyst, Economic Consultant

The University of Dundee enhances career readiness through:

Dedicated employability support: Students have access to the Careers Service, which provides personalised career guidance, CV and application workshops, interview coaching, and connections to finance and economics employers.
Graduate outcomes and salary prospects: Graduates move into professional roles in financial services, consulting, and data analytics, with starting salaries reflecting the high demand for numerate and economically skilled graduates.
University–industry partnerships: The program engages with banks, financial institutions, and economic research organisations, providing students with applied project experience and networking opportunities.
Accreditation and long-term value: The degree aligns with professional standards in both mathematics and economics, supporting eligibility for future professional recognition, including actuarial or financial qualifications.
Graduate destinations: Alumni progress into roles in finance, banking, consultancy, data analytics, and public sector economic research, while others pursue further study in economics, finance, or mathematics-related fields.

Further Academic Progression:
Graduates are well prepared to pursue MSc programs in Financial Mathematics, Economics, Data Science, or related fields. The degree also provides a foundation for PhD-level study in economics, finance, or applied mathematics, enabling entry into research or academic careers nationally and internationally.