Mathematics with Computer Science (Placement Year) BSc Hons

4 Years On Campus Bachelors Program

Lancaster University

Program Overview

Lancaster University’s Mathematics with Computer Science (Placement Year) BSc Hons blends rigorous mathematical training with core computer science principles and adds a valuable year of industry experience. It suits students who want strong analytical and programming skills as well as practical experience in the workplace before graduation.

Curriculum Structure
Year 1
In the first year, students build foundational knowledge in areas such as calculus, algebra, probability and statistics, logic and proofs, and introductory programming. These modules develop quantitative reasoning and practical coding skills that support future study in both mathematics and computer science.

Year 2
The second year expands core concepts with advanced topics in mathematics and computing, including linear algebra, data structures, algorithms, and software development. Students begin applying their learning to collaborative projects, enhancing problem‑solving, design, and teamwork skills.

Year 3 – Placement Year
In the third year, students undertake a full‑time placement in industry, gaining real‑world experience and applying analytical and technical skills in a professional environment. This hands‑on year helps students build confidence, develop workplace competencies, and strengthen their CV for future careers.

Year 4
After the placement year, students return to campus to take advanced modules that align with their interests, such as databases, artificial intelligence, machine learning, or stochastic processes. This final year focuses on technical depth, independent problem solving, and preparation for professional or postgraduate pathways.

Focus Areas
Mathematical foundations, computer science fundamentals, software development, analytical problem solving, and professional experience.

Learning Outcomes
Graduates develop strong quantitative reasoning, advanced programming and software skills, practical industry experience, and the ability to apply mathematics and computing to real‑world challenges.

Professional Alignment (accreditation)
The programme equips students with skills sought by employers in technology, engineering, finance, and data analytics, with the placement year enhancing professional readiness and employability.

Reputation (employability rankings)
Lancaster University is recognised for excellence in both mathematics and computer science, consistently performing well in national league tables and known for research‑informed teaching that supports strong graduate outcomes.

Experiential Learning (Research, Projects, Internships etc.)

The Mathematics with Computer Science (Placement Year) BSc Hons at Lancaster University combines solid academic grounding with an extended period of professional workplace experience, giving students a significant advantage when entering the job market. Throughout the degree, students learn key programming languages such as Python and R, develop software solutions, build mathematical models, and collaborate on real problems in group projects. The placement year offers a structured opportunity to apply these skills in a professional environment, enabling students to refine technical knowledge, understand workplace dynamics, and build industry networks. Support from Lancaster’s Careers Service ensures students are prepared for recruitment processes and succeed in their roles:

Year‑long placement in industry, where students apply mathematical analysis and computing skills in a real professional setting
Preparation workshops and placement support, including CV building, interview practice, and employer engagement sessions
Hands‑on programming experience with languages such as Python and R integrated throughout the academic terms
Group‑based applied projects allowing students to work collaboratively on challenges drawn from real applications
Problem‑solving tutorials and computing labs that reinforce technical and analytical capabilities
Access to modern computing facilities and software tools for building and testing systems, data analysis, and simulation
Peer support communities and student societies, fostering collaboration and informal learning

Career and Industry Preparation
Graduates complete the programme with both academic knowledge and significant work experience, making them highly competitive for roles in fields like software engineering, data analysis, technology consulting, and finance.

Why This Degree Stands Out
The placement year transforms theoretical learning into real competence, giving students a meaningful professional edge and the chance to make informed career decisions before graduation.

Progression & Future Opportunities

Graduates of the Mathematics with Computer Science (Placement Year) BSc (Hons) from Lancaster University benefit from a year of professional work experience, enhancing employability and practical skills alongside their academic training. This prepares graduates for roles requiring strong mathematical and computational expertise. Typical graduate roles include Software Engineer, Data Analyst, AI Developer, and Quantitative Analyst:

University employability support: Lancaster University’s Careers and Employability Service offers dedicated support for placement applications, interview preparation, CV guidance, and mentoring during the placement year. Students also access industry-specific workshops and employer networking events.
Employment outcomes and salary prospects: Graduates with placement experience enjoy higher employability rates and competitive starting salaries, often receiving offers from their placement organisations or securing roles in related sectors.
University–industry connections: The placement year is supported by strong partnerships with technology companies, financial institutions, and research organisations, providing students with direct exposure to professional practices and real-world projects.
Accreditation and long-term value: The degree aligns with professional standards in mathematics and computing, offering credibility and long-term career opportunities.
Graduate destinations: Graduates progress into software development, data analytics, AI, and consultancy roles, with practical experience gained during the placement year giving them an advantage in competitive job markets.

Further Academic Progression:

Graduates may pursue postgraduate programmes such as MSc in Artificial Intelligence, Data Science, Applied Mathematics, or Computer Science, or continue to doctoral research (PhD) in mathematics, computing, or interdisciplinary computational fields at Lancaster University or other leading institutions.

Additional Information & Requirements

AMERICAN CURRICULUM (GPA / AP): Applicants must complete a High School Graduation Diploma with a GPA between 3.2 and 3.4 plus three APs with scores ranging from 5,4,4 to 5,5,5, depending on the programme. An Associate Degree with a GPA between 3.0 and 3.2 may also be considered, with flexibility for equivalent college-level coursework.
CBSE / ISC (INDIAN CURRICULUM): Applicants must achieve 70%–87% overall from their best four academic subjects in Standard XII. Hindi and Physical Education are excluded from assessment.
IELTS: An overall score of 6.5 is required, with a minimum of 5.5 in each component. This confirms readiness for academic study in English.
TOEFL: An overall score of 87 is required, with minimum sectional scores of 17 in listening, 18 in reading, 17 in speaking, and 20 in writing. This ensures balanced English language ability across all skills.
GCSE: Applicants must achieve Grade C or 4 in GCSE English to meet the minimum language requirement. For IGCSE English as an Additional Language, a minimum of Grade B is required.
UCAS TARIFF: Entry is assessed using subject-specific grade requirements rather than a fixed UCAS Tariff score. UCAS points are considered in context alongside overall academic performance.
A LEVEL: Applicants must achieve AAA, including Mathematics at grade A or Further Mathematics at grade A. The overall offer is reduced to AAB for applicants achieving grades AB in both Mathematics and Further Mathematics, in either order.
INTERNATIONAL BACCALAUREATE (IB): A total of 36 points is required, with 16 points from the best three Higher Level subjects. This must include grade 6 in Higher Level Mathematics, either Analysis and Approaches or Applications and Interpretations.