BSc Hons Mathematics with Statistics (Placement Year)

4 Years On Campus Bachelors Program

Lancaster University

Program Overview

The Mathematics with Statistics (Placement Year) programme at Lancaster is a four-year degree combining rigorous mathematics and statistical/data science training with a full year of industry placement. It is ideal for students who enjoy mathematics and statistics and want to apply their skills in real-world areas such as data analysis, finance, public policy, AI/data science, environmental modelling, or research.

Curriculum Structure

First Year

In Year 1, students build a strong foundation through core modules such as Logic and Discrete Mathematics, Matrices and Calculus, Probability and Statistics, and Symmetry and Sequences. These modules develop essential skills in calculus, linear algebra, probability, statistics, and logical reasoning. Optional modules allow exploration of programming, computing, or complementary subjects, providing early exposure to data-handling and computational thinking.

Second Year

Year 2 deepens knowledge with core modules including Real Analysis, Linear Algebra, Multivariate Probability & Statistics, Applied Data Science, and Project Skills. Students sharpen analytical, research, and statistical computing skills while optional modules allow further specialization in applied or theoretical areas.

Third Year — Placement Year

Year 3 is a full-time placement year, where students apply their mathematical and statistical knowledge in a real workplace. This provides practical experience, develops transferable skills such as problem-solving, data handling, and communication, and enhances career prospects while giving insight into actual work environments.

Fourth Year

In Year 4, students take two core modules and four optional modules, which may include Statistical Inference, Supervised Learning, Time Series & Environmental Statistics, Medical Statistics, Graph Theory & Algorithms, Mathematical Finance, Stochastic Processes, or Mathematical Cryptography. This allows specialization toward data science, finance, environmental modelling, medical statistics, or theoretical mathematics/statistics, while integrating insights gained from the placement year.

Focus Areas

Mathematics, probability and statistics, data science and statistical modelling, stochastic processes, statistical inference, applied statistics (environmental, medical, financial), mathematical methods, and computational/data analysis skills.

Learning Outcomes

Graduates develop strong mathematical reasoning, statistical modelling, data analysis, probability and inference skills, and practical experience in real-world applications. They also gain transferable skills in data handling, problem-solving, communication, computational literacy, and workplace readiness, with the placement year enhancing employability.

Professional Alignment (Accreditation)

The degree is accredited by the Institute of Mathematics and its Applications (IMA). Students completing the statistics components may also be eligible for recognition from the Royal Statistical Society, which is a mark of professional competence in mathematics and statistics careers.

Reputation (Employability & Rankings)

Lancaster’s mathematics and statistics programmes are highly respected and rank among the top in the UK. Graduates typically pursue careers as data analysts, statisticians, actuarial analysts, finance-modelling analysts, analytics engineers, medical or environmental statisticians, and consultants. The placement year makes graduates stand out by combining academic depth with real-world experience.

Experiential Learning (Research, Projects, Internships etc.)

This programme combines rigorous mathematics and applied statistics with a full-year industry placement, giving you both strong academic knowledge and real-world professional experience. From Year 1, you build core skills in calculus, probability, statistics, and mathematical reasoning. As you progress, you apply these skills through project work, statistical computing, and collaborative problem-solving. The placement year in Year 3 provides hands-on experience in professional environments, allowing you to integrate theory with practice and gain transferable skills highly valued by employers.

Transitioning to the practical learning opportunities and tools you’ll engage with:

• Strong foundational coursework

Year 1 covers core mathematical and statistical topics, including calculus, discrete mathematics, probability, statistics, logic, and proofs.
Year 2 builds on this foundation with modules in analysis, linear algebra, multivariate probability, and applied statistics, preparing you for real-world applications.

• Projects and applied statistical work

A “Project Skills” module provides experience in both individual and group projects, teaching scientific writing, statistical reporting, and the use of professional tools such as R and LaTeX.
Collaborative assignments develop teamwork, communication, and problem-solving skills directly applicable in research and industry settings.

• Year 3 placement

You undertake a full-time placement in industry or a professional environment, gaining practical experience in fields such as data science, finance, analytics, health statistics, or research.
Career services support includes CV building, interview preparation, and guidance in securing suitable placement opportunities.
The placement year allows you to apply statistical and mathematical methods to real-world problems, enhancing employability and professional skills.

• Specialist modules and electives

In the final year, you can choose advanced modules such as medical statistics, stochastic processes, mathematical finance, time series analysis, environmental statistics, and machine learning.
This allows you to tailor your degree to your career interests and consolidate skills learned during your placement year.

• Professional recognition

Completion of required statistics modules makes you eligible for accreditation by the Royal Statistical Society and recognition from the Institute of Mathematics and its Applications, ensuring your degree meets professional standards.

• Supportive academic and peer community

Workshops, problem-solving classes, and one-to-one academic support help maintain strong understanding and prepare you for placement challenges.
Peer-led groups provide informal learning opportunities and collaborative environments to discuss projects, statistical methods, and problem-solving strategies.

Who this course suits

Students seeking both rigorous mathematics/statistics training and real-world industry experience.
Those aiming for careers in data science, finance, analytics, research, or any role that applies quantitative and statistical methods.
Learners who want flexibility to specialise in advanced modules aligned to professional or academic goals.
Individuals who value a placement year to gain practical experience, develop professional skills, and enhance employability before graduation.
Students ready to engage with rigorous mathematics, statistical tools, and applied projects while building professional experience.

Progression & Future Opportunities

Graduates from Lancaster’s Mathematics with Statistics (Placement Year) program combine strong mathematical and statistical expertise with practical, real-world experience. Many go on to careers in data science, statistics, actuarial work, finance, technology, business analysis, or research. The placement year gives students a competitive edge, often resulting in better job offers, clearer career direction, and faster progression into highly skilled roles.

Typical job roles include:

Data Analyst or Statistical Analyst
Quantitative or Actuarial Analyst
Business or Financial Analyst
Data Scientist or Research Analyst

How Lancaster supports your career success:

Placement Year Experience: Year 3 is devoted to a full-time placement, allowing students to apply mathematical and statistical skills in a real-world business or industry setting. This practical experience enhances employability and helps build professional networks.
Dedicated Careers Support: Lancaster’s Careers Service provides one-to-one guidance, CV and application support, interview preparation, and professional development workshops to help students succeed during their placement and after graduation.
Comprehensive Curriculum: Core modules cover calculus, linear algebra, probability, statistics, and logic, while later optional modules allow students to specialise in areas such as stochastic modelling, applied data science, medical or environmental statistics, and financial mathematics.
Professional Accreditation: Completion of required statistics modules ensures eligibility for professional recognition by the Royal Statistical Society (RSS) and Institute of Mathematics and its Applications (IMA), enhancing long-term career credibility.
Transferable Skills & Career Flexibility: Students gain data analysis, statistical modelling, programming, data visualisation, and problem-solving skills. Graduates are well-prepared for sectors including finance, insurance, technology, public policy, healthcare analytics, consultancy, and research.

Further Academic Progression:

After completing this four-year program, students have several strong academic pathways:

Pursue a Master’s (MSc) in data science, statistics, financial mathematics, actuarial science, applied mathematics, or computational modelling.
Undertake a PhD in statistics, applied mathematics, data science, or mathematical modelling for research or academic careers.
Pursue specialised professional qualifications or certifications in actuarial science, analytics, or risk management to strengthen career prospects in specialised sectors.