BSc Hons Mathematics, Artificial Intelligence, and Real-world Systems (MARS) (Placement Year)

4 Years On Campus Bachelors Program

Lancaster University

Program Overview

Lancaster University’s BSc Hons Mathematics, Artificial Intelligence, and Real‑world Systems (MARS) (Placement Year) extends the core Mathematics and AI degree with an industry placement year that allows students to apply analytical and computational skills in a professional environment. It is designed for students who want to combine rigorous mathematical training with real‑world experience in AI, data science, and systems modelling to enhance career prospects.

Curriculum Structure
Year 1
In the first year, students develop a strong foundation in essential mathematics and computational thinking through modules such as Logic and Discrete Mathematics, Matrices and Calculus, and Probability and Statistics. Mathematical Modelling and Programming introduces problem-solving with Python and R, preparing students for later studies in AI and machine learning.

Year 2
The second year focuses on specialised mathematical and AI concepts with modules like Applied Data Science, Linear Algebra, Mathematics of Artificial Intelligence, and Multivariate Probability and Statistics. Students also study Real Analysis and Real‑world Dynamics, strengthening their analytical skills and preparing for professional practice.

Year 3 – Placement Year
Students undertake a full-time industry placement, applying their knowledge and skills in a professional setting, contributing to real projects, and gaining valuable workplace experience. Lancaster’s Careers Service supports students in finding placements and preparing professional documentation to ensure career readiness.

Year 4
In the final year, students return to campus to consolidate learning through advanced modules and a capstone Industry‑inspired Project, tackling complex problems using mathematical modelling, AI techniques, and data science. Optional modules such as Environmental Statistics, Graph Theory and Algorithms, and Supervised Learning allow students to tailor their studies to personal interests and career goals.

Focus Areas
Mathematical foundations, artificial intelligence, machine learning, statistics, data science, real‑world systems modelling, professional placement experience.

Learning Outcomes
Graduates gain advanced quantitative reasoning, programming proficiency, expertise in AI and data-driven modelling, and professional experience that prepares them for analytical and technology-focused careers.

Professional Alignment (accreditation)
The placement-enhanced degree aligns with industry expectations, equipping students with both theoretical knowledge and applied experience sought by employers across technology, finance, engineering, and data science sectors.

Reputation (employability rankings)
Lancaster University is recognised among the UK’s top universities for mathematics and science, consistently ranking highly in national league tables. The inclusion of a placement year gives graduates a strong advantage in the job market.

Experiential Learning (Research, Projects, Internships etc.)

The Mathematics, Artificial Intelligence, and Real‑world Systems (MARS) BSc Hons (Placement Year) at Lancaster University gives students the chance to build strong practical skills not only through rigorous academic coursework but also through a full year of workplace experience. Students learn essential computational and analytical techniques during the first two years, using specialist software and facilities to analyse data, create models and solve complex problems. In the placement year, they step into real organisational settings — applying theory to practice, enhancing professional skills, and gaining industry insight. This combination ensures that by the time students return for their final year, they have both the academic grounding and the real‑world experience employers value:

Workplace experience through a year‑long placement, where students apply mathematical modelling, AI techniques and computational skills in a professional environment
Preparation workshops and placement support, including CV reviews, interview practice, and employer engagement sessions provided by the university’s careers team
Programming and data analysis with Python and R, embedded throughout the academic years to build strong technical capability before the placement
Group‑based applied projects during academic study, giving collaborative experience in tackling real‑world problems
Access to advanced computing labs and software tools for simulation, machine learning, and numerical analysis
Individual research‑style project in final year, drawing on knowledge and experience gained during both academic study and the placement year
Extensive academic and library resources, supporting both coursework and professional development throughout the degree

Career and Industry Preparation
By completing an integrated placement year, students graduate with both a strong academic foundation and relevant work experience, improving readiness for careers in sectors such as data science, software development, analytics, financial services and systems modelling.

Why This Degree Stands Out
The inclusion of a full placement year makes this programme particularly powerful for students who want to stand out in the job market, gaining practical insights and professional networks that complement academic achievement.

Progression & Future Opportunities

Graduates of the BSc (Hons) Mathematics, Artificial Intelligence, and Real-world Systems (MARS) with Placement Year from Lancaster University gain extensive practical experience alongside their academic training, enhancing employability and career readiness. The integrated placement year allows students to apply mathematical and AI skills in real-world professional environments. Typical graduate roles include Data Scientist, Machine Learning Engineer, AI Analyst, and Quantitative Analyst:

University employability support: Lancaster University’s Careers and Employability Service provides dedicated support for placement applications, interview preparation, and ongoing mentorship during the work placement. Students can access employer events and industry-specific workshops to maximise professional development.
Employment outcomes and salary prospects: Placement experience significantly increases graduate employability, with many students receiving job offers from their placement providers or securing positions in related sectors. Competitive starting salaries reflect roles in AI, data analytics, and quantitative fields.
University–industry connections: The placement year is supported by established partnerships with technology companies, financial institutions, and research organisations, giving students direct exposure to industry-standard practices and networking opportunities.
Accreditation and long-term value: The degree maintains strong alignment with professional standards in mathematics and computational sciences, supporting long-term career credibility.
Graduate destinations: Graduates progress into roles across technology, finance, consultancy, and research sectors, and are often better positioned for senior roles due to practical experience gained during the placement year.

Further Academic Progression:

Graduates may pursue postgraduate study in fields such as MSc Artificial Intelligence, Data Science, Applied Mathematics, or Complex Systems, either at Lancaster University or other leading institutions. The combination of academic training and industry experience also provides a strong foundation for PhD study in mathematics, AI, or interdisciplinary computational research.