BSc Mathematics Statistics and Economics

4 Years On Campus Bachelors Program

University of Strathclyde

Program Overview

The BSc Mathematics, Statistics & Economics at the University of Strathclyde equips students with rigorous mathematical and statistical skills while embedding essential economic theory and analysis, ideal for people who love numbers and want to understand how economies work. It blends analytical thinking with real-world economic insight, preparing graduates for careers across finance, policy, data science, consulting, or further study.

Curriculum Structure:

Year 1
In the first year, students build a strong base in key quantitative methods by studying Mathematical Foundations, Calculus 1, and Introduction to Geometry & Algebra, developing logical reasoning and problem-solving skills. They also begin to understand the economy with Introduction to Economics and Business Analysis while gaining practical data experience through Essential Statistics and Data Analysis & Presentation.

Year 2
The second year expands analytical expertise with Linear Algebra & Differential Equations and Advanced Calculus, deepening mathematical understanding, while Probability & Statistical Inference and Mathematical & Statistical Computing enhance data modelling skills. Alongside this, students study Intermediate Microeconomics and Intermediate Macroeconomics & Data Analysis to strengthen their grasp of core economic models and how data is used to interpret real-world economic behaviour.

Year 3
In the third year, the degree becomes more tailored: compulsory modules such as Topics in Microeconomics with Cross Section Econometrics and Topics in Macroeconomics with Time Series Econometrics blend economic theory with empirical methods, while Differential Equations and Inference & Regression Modelling further sharpen mathematical and statistical capabilities. Students can also choose optional modules — for example, Stochastics & Financial Econometrics or Applied Economics — letting them explore specialised areas that align with their interests.

Year 4
In the final year, students undertake an honours-level project in mathematics, statistics, or economics, synthesising their knowledge in an extended piece of independent research. Elective options span advanced quantitative and economic topics — such as Statistical Modelling & Analysis, Industrial Economics, or Behavioural Economics — ensuring graduates emerge ready for complex analytical challenges in industry or postgraduate study.

Focus Areas:
Advanced calculus and mathematical methods, statistical modelling and inference, economic theory and econometrics, data analysis, and applied quantitative problem solving across real-world contexts.

Learning Outcomes:
Graduates will demonstrate deep understanding of mathematical and statistical principles, apply econometric techniques to economic data, interpret complex economic and quantitative information, communicate analytical findings clearly, and think critically to solve diverse analytical problems.

Professional Alignment (Accreditation):
This programme provides the potential to qualify for Royal Statistical Society GradStat status, showcasing recognised standards in statistical training for graduates.

Reputation (Employability Rankings):
Strathclyde is celebrated as UK University of the Year and Scottish University of the Year, and this degree’s combination of rigorous quantitative training and economic insight supports strong graduate prospects in analytics, economics, finance, consulting, and research.

Experiential Learning (Research, Projects, Internships etc.)

Students in the BSc Mathematics, Statistics & Economics programme at the University of Strathclyde immerse themselves in a curriculum that blends theoretical understanding with practical, real‑world application. From early years onwards, learners develop analytical skills through statistical computing, economic modelling, and collaborative work that mirrors tasks in finance, policy analysis, and data science. The degree nurtures quantitative confidence and communication ability by using industry‑relevant tools such as R for statistical computing, incorporating group problem‑solving sessions, and encouraging individual and team‑based projects. Many students also take advantage of study‑abroad opportunities that broaden global insight and build intercultural professional skills:

Access to modern computing labs and virtual learning environments where students work with real datasets, apply statistical software, and simulate mathematical models.
Extensive use of R statistical software and econometric tools integrated across statistics, data analysis, and econometrics modules.
Group tutorials and seminars focused on problem solving and communication, building teamwork and collaborative reasoning.
Project work and honours‑year dissertation options that allow students to undertake substantial research in mathematics, statistics, or economics.
Opportunities for study abroad at partner universities in Europe, North America, Asia, and Australasia, enriching both academic experience and cultural fluency.
Integration of real economic and statistical data applications in advanced modules, including topics in econometrics, applied statistics in society, and modelling with real‑world relevance.

Career Preparation and Outcomes

Graduates of this degree are prepared for a range of rewarding career paths where analytics, economic insight, and quantitative skills are essential. Typical roles include economist, data analyst, risk analyst, financial modeller, and policy advisor. Employers in government, finance, consulting, and international organisations seek candidates who can unite mathematical reasoning with economic understanding. The programme’s emphasis on real application, computing competence, and research projects gives students a competitive edge in the job market.

Progression & Future Opportunities

Graduates of the BSc Mathematics, Statistics and Economics at the University of Strathclyde are highly sought after for roles that combine quantitative strength with economic insight: they typically enter careers such as economic analyst, data/statistics analyst, financial consultant, and policy advisor, applying rigorous analytical skills across public and private sectors. The degree’s balance of mathematical modelling and economic understanding gives graduates a competitive edge in fields from finance and consulting to government and research.

• University support for employment: Students are supported by Strathclyde’s dedicated Careers Service offering personalised career guidance, CV development, interview preparation, employer events, and work‑placement opportunities that help students connect with industry recruiters.
• Accreditation and long‑term value: The programme is accredited by the Royal Statistical Society, enabling graduates to qualify for professional GradStat status — a valuable credential recognised by employers in data and statistical professions.
• Employment stats and salary figures: Mathematics and statistical graduates from Strathclyde have median starting salaries around £26,000–£31,000, with earnings increasing substantially over time. Economics graduates typically see median salaries climb to approximately £43,500 after five years, reflecting strong long‑term employment outcomes.
• University–industry connections: The university’s links with employers in banking, consultancy, government, and research sectors help students access internships, industry projects, and networking opportunities that enhance employability and practical experience.
• Graduation outcomes: Graduates go on to roles including economic analyst, risk analyst, economist, management consultant, statistician, and policy advisor — combining the quantitative skills of mathematics and statistics with economic reasoning valuable across many industries.

Further Academic Progression:
After completing this BSc, students can pursue master’s degrees in fields such as econometrics, financial economics, data science, applied statistics, or business analytics to specialise their expertise. Some graduates also choose professional economics or finance qualifications or continue into research‑oriented postgraduate programmes (MSc/PhD) to pursue careers in academia or advanced analytical roles.