High Drop-out Rate Alert
16% of students drop out or transfer from this specific course. Consider asking why on an open day.
BSc Mathematics, Statistics and Economics
About this course
Mathematics, statistics and economics is a combination that brings together three quantitative disciplines that, in the modern world, are deeply intertwined. Mathematics provides the formal language of rigorous argument and the toolkit of techniques, from calculus and algebra to proof and numerical methods, that all quantitative work depends on. Statistics provides the methods for collecting, analysing and drawing inferences from data, dealing with uncertainty in a principled way. Economics uses both to study how resources are allocated, how markets and institutions work, and how the decisions of individuals and governments shape the economy and society. At the University of Strathclyde, this four-year programme gives you a thorough grounding in all three disciplines. Each year contains compulsory modules in mathematics and statistics alongside economics, with opportunities to explore different areas of mathematics and to choose elective modules from other subject areas as you progress. You will develop both the theoretical understanding and the quantitative skills to engage with complex economic and statistical problems, progressing to more advanced material in all three disciplines as the degree unfolds. A year abroad is part of the programme, giving you the opportunity to study at an international partner institution. Graduates in mathematics, statistics and economics are exceptionally well placed in the jobs market. Careers in economic analysis, financial services, data science, actuarial work, management consultancy, central banking, government economic services and academic research are all natural destinations. The combination of mathematical precision, statistical competence and economic understanding is particularly powerful in roles that require the ability to model complex systems, interpret data and communicate findings clearly to non-specialists. Postgraduate study in economics, mathematics, statistics, finance or data science is a well-supported route for those seeking further specialisation or academic careers.
Syllabus & Modules
Typical curriculumStudent Satisfaction
National Student Survey - 50 respondents (65% response rate)
Similarly Ranked Alternatives
What comes next? 🎓
Choosing the right university starts with choosing the right school. Explore transparent, data-driven school profiles powered by official DfE statistics.
Explore Schools on WhatSchool.ai →