Economics and Mathematics with an Integrated Foundation Year

4 Years On Campus Bachelors Program

Brunel University

Program Overview

The Economics and Mathematics with an Integrated Foundation Year at Brunel University London provides students with a solid grounding in both quantitative mathematics and economic theory, while the foundation year ensures readiness for degree‑level study. It is ideal for students interested in understanding economic systems, applying mathematical modelling, and analysing real‑world financial and policy issues.

Curriculum Structure:

Foundation Year:
During the foundation year, students develop essential skills in Introductory Mathematics for Economics, Principles of Economics, and Academic Skills for STEM, ensuring they are well prepared for higher‑level quantitative and economic study. Modules in Problem‑Solving and Logical Thinking and Digital Literacy help strengthen analytical, numerical, and IT competencies critical for later years.

Year 1:
In the first undergraduate year, students study Fundamentals of Mathematics, Calculus 1, and Linear Algebra, building strong mathematical reasoning and modelling skills. Complementing this, Microeconomics and Macroeconomics introduce economic theory, markets, and policy concepts, while Elements of Applied Mathematics develops practical problem‑solving abilities.

Year 2:
The second year advances students’ knowledge in mathematics through modules like Calculus 3, Linear and Abstract Algebra, and Applied Statistics, while economic modules such as Intermediate Microeconomics, Intermediate Macroeconomics, and Quantitative Methods for Economics allow students to apply mathematical tools to economic analysis. The integration of statistics and modelling prepares students for rigorous economic research and practical data analysis.

Year 3:
In the final year, students explore advanced topics such as Stochastic Models, Econometrics, and Financial Economics, alongside the Final Year Project which allows independent research combining mathematical and economic skills. Optional modules may include Game Theory, Machine Learning for Economics, or Computational Economics, enabling students to tailor their degree toward specific interests and career goals.

Focus Areas:
Quantitative mathematics, economic theory, econometrics, stochastic modelling, financial economics, and data analysis.

Learning Outcomes:
Graduates will be able to apply mathematical and statistical techniques to economic problems, conduct independent research, interpret and analyse data, and communicate insights effectively for careers in finance, policy, research, or further study.

Professional Alignment (Accreditation):
The programme equips students with recognised analytical and mathematical skills applicable in economics, finance, policy analysis, and quantitative research.

Reputation (Employability Rankings):
Brunel’s combined mathematics and economics degrees are highly regarded for student satisfaction and employability, offering strong preparation for careers in finance, consultancy, government, and research.

Experiential Learning (Research, Projects, Internships etc.)

The Economics and Mathematics with an Integrated Foundation Year at Brunel is designed to build firm practical foundations and give students confidence before progressing into advanced study. Throughout the foundation year, learners develop essential mathematical, economic and analytical skills through structured lab sessions, group tutorials, real‑world problem solving and study‑skill workshops. This hands‑on approach ensures students are well prepared for the core honours curriculum that follows:

  • Foundation workshops and labs where students work with foundational mathematical tools and begin using software relevant to quantitative analysis.

  • Applied economics sessions that introduce real economic data and decision‑making scenarios, helping students connect theory with how economic systems function.

  • Study skills and academic support workshops embedded in the foundation year, focusing on research, writing, numeracy and critical thinking.

  • Small‑group tutorials and seminar discussions that build communication, collaboration and peer learning, laying the groundwork for later independent study.

  • Seamless transition into honours study: upon successful completion of the foundation year, students progress into the first year of the Economics and Mathematics degree, equipped with strong academic habits and confidence in core skills.

Programme Overview
This four‑year pathway begins with a foundation year that strengthens core concepts in mathematics and economics, even for students who haven’t previously studied these subjects at a high level. After the foundation year, students move directly into the honours portion of the programme, combining rigorous mathematical training with economic theory and quantitative analysis. The curriculum emphasizes analytical reasoning, econometrics, optimisation and decision‑making principles.

Key Features & Opportunities

  • Balanced foundation support: Builds essential knowledge in maths and economics before advancing.

  • Flexible progression: Students move into honours study with clear readiness and confidence.

  • Collaborative learning: Tutorials and group work sharpen communication and analytical discussion skills.

  • Applied analysis: Early exposure to data interpretation and quantitative reasoning prepares students for honours‑level modules.

  • Academic skills integration: Workshops help with study planning, academic writing and problem solving.

Facilities & Support
Students benefit from mathematics and computing labs, collaborative study spaces across campus, and a well‑resourced library that supports economics, maths and related subjects. Dedicated workshops and peer support are available to deepen understanding throughout both the foundation and honours years.

Career Pathways
Graduates are prepared for analytical and strategic roles where economics and quantitative skills are valued, including financial analysis, policy advising, consulting, data interpretation and risk assessment. The foundation year ensures students build competencies that make them confident contributors in advanced study and professional environments.

Progression & Future Opportunities

Graduates of the Economics and Mathematics with an Integrated Foundation Year program at Brunel University are prepared for analytical and financial roles, combining strong mathematical skills with economic insight:

  • University Services: The Careers and Employability Service provides tailored support including career coaching, placement assistance, and workshops on CVs, interviews, and professional networking.

  • Employment Stats and Salary Figures: Over 90% of graduates are employed or in further study within six months, with starting salaries typically ranging from £25,000 to £38,000.

  • University–Industry Partnerships: Brunel collaborates with organizations such as Deloitte, KPMG, and HSBC, offering internships, placements, and live project opportunities.

  • Long-term Accreditation Value: The program equips students with industry-relevant analytical and quantitative skills, enhancing professional recognition and employability.

  • Graduation Outcomes: Graduates typically pursue careers as financial analysts, economic researchers, data analysts, or management consultants.

Further Academic Progression:
Graduates can continue their studies through MSc Economics, MSc Financial Mathematics, or other postgraduate programs, as well as professional certifications in finance, analytics, or economic research to advance career prospects.

Program Key Stats

£17,400 (Annual cost)
£9,535
£ 29
Sept Intake : 14th Jan


65 %
No
Yes

Eligibility Criteria

CCD
3.0
26
75

1110
22
6.5
77
No

Additional Information & Requirements

Career Options

  • Actuary
  • Data Analyst
  • Statistician
  • Quantitative Analyst
  • Operations Research Analyst
  • Financial Analyst
  • Risk Analyst
  • Economist
  • Cryptographer
  • Mathematician
  • Data Scientist
  • Market Research Analyst
  • Biostatistician
  • Machine Learning Engineer
  • Algorithm Developer
  • Research Scientist
  • Investment Analyst
  • Statistician Consultant
  • Software Engineer (Mathematical Modeling)
  • Computational Scientist

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