BSc Hons Mathematics and Statistics with Year Abroad

4 Years On Campus Bachelors Program

Queen Mary University of London

Program Overview

The BSc (Hons) in Mathematics and Statistics with Year Abroad at Queen Mary University of London offers a solid foundation in pure and applied mathematics combined with in‑depth training in probability, statistics, and data analysis — with the added benefit of global exposure through a full year abroad. It suits students who enjoy rigorous mathematics but also want to develop strong statistical and computational skills, opening paths in data science, research, finance, government, or industry.

Curriculum structure

Year 1
In the first year, students build fundamental mathematical and statistical skills. Compulsory modules include Programming in Python I, Numbers, Sets and Functions, Introduction to Analysis with Calculus, Probability & Statistics, Introduction to Algebra, and Vectors and Matrices. This gives a steady grounding in calculus, linear algebra, discrete mathematics, and introductory statistics — all essential tools for advanced mathematics or statistical work.

Year 2
In the second year, the curriculum deepens both mathematics and statistical theory: students study modules such as Differential Equations, Linear Algebra I, Programming in Python II, and other core mathematics units. Alongside these, students engage with statistical thinking and methodology, preparing for more specialised statistical and data‑analysis work. The structure supports a strong mathematical core while beginning to emphasise statistical applications.

Year 3 (Year Abroad)
During the third year, the student spends a full academic year abroad at one of QMUL’s partner universities under the “Year Abroad” option. This provides international exposure and a chance to study mathematics or statistics in a different academic setting, potentially gaining new perspectives on applied mathematics, statistics, or data science. Modules from Year 3 at the home university are completed after returning.

Year 4 (Final Year, after return)
After returning from abroad, students complete advanced mathematics and statistics modules, possibly including statistical theory, applied statistics, stochastic processes, data‑analysis methods, and optional specialisations. This final year consolidates their mathematical and statistical knowledge, sharpening skills for data‑driven analysis, modelling, or research.

Focus areas
Pure and applied mathematics (calculus, algebra, differential equations), probability theory, statistical theory and methodology, computational statistics (programming), data analysis, stochastic modelling, and quantitative problem‑solving.

Learning outcomes
Graduates will have strong mathematical foundations, deep understanding of probability and statistics, competence in computational and statistical computing tools, and the ability to analyse, model, and interpret data — equipping them for data‑intensive roles, research, finance, government, or further study. Graduates will also have international exposure and flexibility from the “Year Abroad.”

Professional alignment (accreditation)
The programme falls under the UK’s QAA benchmark for mathematics, statistics, and operational research, ensuring high academic standards. While there is no separate external accreditation, the curriculum aligns with demands in sectors requiring strong quantitative and statistical skills — such as data science, finance, actuarial work, research, and public‑sector statistical roles.

Reputation (employability & outcomes)
Graduates from Mathematics and Statistics at Queen Mary often secure positions in government statistics departments, finance and banking firms, pharmaceuticals, research organisations, or go on to postgraduate studies (e.g., in statistics, actuarial science, or mathematical modelling) — demonstrating the programme’s strong real‑world relevance and employability.

Experiential Learning (Research, Projects, Internships etc.)

Students enrolled in the BSc Mathematics and Statistics with Year Abroad programme at Queen Mary benefit from much more than lectures and textbooks — they build strong practical and analytical skills rooted in real‑world data and statistical applications, with access to excellent facilities and support systems in a vibrant academic community. The programme is offered by the School of Mathematical Sciences, whose building has recently undergone major investment to provide modern teaching rooms, private and group‑study areas, and a social hub where students can collaborate and engage in peer learning.

Students have opportunities to work directly with statistical computing packages and data analysis tools — many modules include sessions in computer labs where statistical and probabilistic theory is complemented by hands‑on computational practice.

Because the programme allows a “Year Abroad,” students can spend a full academic year studying at one of the University’s global partner institutions — offering exposure to different academic environments, new perspectives on statistical problems, and an international experience that enriches both personal development and academic insight.

Key Practical & Academic Features:

The curriculum combines rigorous mathematics (analysis, algebra, probability) with advanced statistical theory and methods — giving a robust foundation in both abstract math and applied data analysis.
Statistical modules emphasise data analysis using statistical computing packages — enabling students to gain hands‑on experience with real statistical workflows (data cleaning, modelling, interpretation, reporting).
Teaching comes through a mix of lectures, tutorials, and problem‑solving exercise classes — often involving group discussion and collaboration, which sharpens communication, analytical reasoning, and peer learning.
Students complete “Model modules,” which encourage interdisciplinary exposure — they can take small‑credit modules outside their main discipline, promoting a broader intellectual outlook and transfer of skills across fields.
The “Year Abroad” option: in the third year students may study at a partner university abroad, with their third‑year modules deferred to the fourth year — ensuring the programme remains comprehensive and academically rigorous.
There is strong academic and pastoral support: the School prides itself on a supportive environment, where students are guided by academic staff and supported by a community of over 60 faculty members dedicated to mathematics and statistics education.

Why This Programme Is a Strong Choice
Graduates of this BSc Mathematics and Statistics with Year Abroad leave with a powerful combination of mathematical rigor and practical data‑analysis skills — highly sought after in sectors such as finance, data science, government policy, research, and industry. The Year Abroad adds international exposure and the chance to view mathematical/statistical problems from new cultural and educational perspectives. Through statistical computing training, collaboration, and strong foundational mathematics, the programme builds a versatile skill‑set that remains relevant in a data‑driven world — ideal for anyone wanting to pursue data science, analytics, research, or further study in statistics and mathematics.

Progression & Future Opportunities

Graduates from the Mathematics and Statistics with Year Abroad programme are well-equipped for careers in data analytics, statistical modelling, finance, risk analysis, and research. The year abroad enhances global perspective, intercultural skills, and adaptability, giving graduates a competitive advantage in international workplaces.

Typical job roles include:

Data Analyst or Data Scientist
Statistician or Quantitative Analyst
Risk Analyst in finance or insurance
Business Intelligence or Analytics Consultant

This programme supports long-term career growth through:

University career services offering dedicated careers consultants, internship coordinators, employability workshops, CV and interview coaching, and networking opportunities tailored to analytics and statistics roles
Strong employability outcomes, with graduates securing positions in analytics, finance, research, and business within six months of graduation, along with competitive starting salaries
International study opportunities via the year abroad, enabling experience at partner institutions and exposure to global methodologies, industries, and networks
Long-term value from rigorous training in mathematics, statistics, and data analysis, which is highly transferable across multiple sectors
Positive graduation outcomes, with alumni progressing into finance, insurance, government agencies, research institutions, consulting, and multinational data-driven companies

Further Academic Progression:
Graduates may pursue postgraduate study in Statistics, Data Science, Financial Mathematics, or Quantitative Finance. Doctoral research in mathematical sciences or applied statistics is an option, as well as professional qualifications in analytics, finance, or actuarial science. An MBA or other business-related postgraduate degree can further prepare graduates for leadership or strategic roles in global organizations.