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4 Years On Campus Bachelors Program
Liverpool John Moores UniversityLiverpool John Moores University’s BSc (Hons) Mathematics with Finance is a four-year undergraduate degree that equips students with strong analytical and quantitative skills applied specifically to financial contexts. This programme blends core mathematical theory with finance principles to prepare students for careers in areas like investment analysis, financial modelling, risk assessment, and quantitative research.
Curriculum Structure
Year 1
In the first year, students build a solid foundation in both mathematics and financial concepts. Core modules include Accounting and Finance, which introduces essential financial terminology and practical modelling techniques, alongside Mathematical Methods and Linear Algebra that develop problem-solving and algebraic skills. Data Exploration and Analysis sharpens statistical thinking by teaching students how to handle data, calculate probabilities, and conduct hypothesis testing, while Mathematical Computer Programming equips them with coding skills relevant to mathematical and financial modelling.
Year 2
The second year deepens both mathematical expertise and financial insight with modules such as Investment and Financial Analysis, where students learn evidence-based decision making and interpret financial statements, and Probability and Risk, which introduces probability models and risk techniques essential to financial decision processes. Statistical Modelling further develops students’ ability to analyse data through regression and variance analysis, while Further Mathematical Methods expands their mathematical toolkit for sophisticated applications in business and finance environments.
Year 3
In the third year, students continue to specialise and refine their skills with advanced applied mathematics and finance modules. They engage with International Corporate Finance to explore global financial decision-making, Advanced Calculus and Partial Differential Equations to enhance their mathematical depth, and a Project that allows independent research and practical problem solving. Optional modules such as Operational Research or Multivariate Analysis and Time Series let students tailor their studies toward career goals and analytical interests.
Year 4
The final year focuses on consolidation and application of both mathematical and financial knowledge. Students take advanced elective modules to suit their career ambitions, complete a major Independent Research Project to demonstrate mastery of both theory and practice, and apply quantitative and financial modelling techniques to real-world problems. This year ensures graduates leave ready for professional roles or postgraduate study.
Focus Areas
Quantitative analysis, financial modelling, investment decision making, statistical reasoning, probability and risk management, mathematical computing, advanced applied mathematics.
Learning Outcomes
Graduates will be able to apply mathematical and statistical methods to solve real-world financial problems, communicate technical insights effectively, use programming and analytical tools for quantitative modelling, and undertake independent research or professional projects with confidence.
Professional Alignment (Accreditation)
The programme is accredited by the Institute of Mathematics and its Applications (IMA), meeting educational standards that support progression toward Chartered Mathematician recognition when combined with further professional experience.
Reputation (Employability Rankings)
Liverpool John Moores University is widely recognised for its academic quality and strong industry connections, with high student satisfaction for teaching and excellent opportunities for work placements that help graduates stand out in competitive job markets in finance and related sectors.
Students on the BSc (Hons) Mathematics with Finance programme at Liverpool John Moores University engage in highly practical and applied learning from the first term. The department provides access to well‑equipped computing labs with industry software where learners develop their quantitative and analytical skills through real data sets and financial modelling exercises. Students use specialist statistical and mathematical tools such as Matlab, Maple TA and SPSS to model financial markets, analyse risk, and solve problems that reflect real industry challenges. Collaborative group projects are built into modules so students learn to communicate insights clearly and work effectively in teams — a key skill for quantitative finance roles. There are opportunities to take a 12‑month paid work placement with a partner employer, giving students valuable workplace experience and a chance to apply mathematical techniques in a business environment. Throughout the programme, small‑group tutorials and practical workshops help students refine techniques and build confidence with digital tools and analytical reasoning:
• Well‑resourced computing labs with high‑performance machines and industry‑standard mathematical and finance software.
• Project‑based modules focused on financial modelling, data analysis and quantitative problem‑solving.
• Group work and collaborative assignments that develop teamwork and communication skills.
• Optional 12‑month paid industrial placement to gain real workplace experience and build professional networks.
• Small‑group tutorials and workshops integrated with core mathematics and finance modules.
• Personal tutor support to guide academic development and career planning.
Facilities and Support
Learners benefit from modern campus facilities including collaborative study spaces, dedicated maths and finance computing labs and access to the City Campus Library’s extensive print and digital resources. The blended learning approach pairs in‑person lectures with online materials, offering flexibility and ongoing support throughout the degree.
Career‑Focused Outcomes
Graduates leave equipped with strong analytical, quantitative and problem‑solving skills suitable for careers in financial services, actuarial work, data analytics, risk management, consulting and other quantitative roles. The programme’s industry links, practical projects and optional work placement help graduates make the transition to professional environments with confidence.
Graduates of the BSc (Hons) Mathematics with Finance at Liverpool John Moores University typically move into roles such as Financial Analyst, Risk Analyst, Investment Analyst, and Quantitative Consultant, applying strong mathematical reasoning and financial insight in commercial, banking and analytical environments. The degree equips students with quantitative problem‑solving and financial modelling skills that are highly sought after by employers, providing clear pathways into competitive careers with strong prospects for salary growth and professional development.
Graduate Outcomes
Career support services: Students receive dedicated support from Student Futures – Careers, Employability and Enterprise Service, including one‑to‑one guidance, careers workshops, interview preparation, and job‑search tools that help bridge academic learning with real‑world employment.
Employment statistics and salary figures: Mathematics and finance graduates from LJMU are well positioned for high demand careers across financial services, analytics and consulting, with competitive entry‑level salaries and opportunities for growth as graduates build experience and specialised skills.
Industry placements and partnerships: The programme provides opportunities for work placements with industry partners, giving students practical experience and valuable networking, and benefits from the School’s connections with a broad range of employers in finance, technology and analytics sectors.
Accreditation and long‑term value: The degree is professionally accredited by the Institute of Mathematics and its Applications (IMA), offering recognised qualification value that enhances credibility with employers and supports continuing professional development.
Graduation outcomes: Graduates are prepared to work in financial institutions, consultancy firms, investment houses, data analytics teams and other organisations where mathematics and finance intersect, with strong foundations for career progression.
Further Academic Progression
After completing the BSc (Hons) Mathematics with Finance, students may pursue postgraduate study such as a Master’s in Financial Mathematics, Quantitative Finance, Actuarial Science, Data Science or Business Analytics. They may also explore professional qualifications in financial analysis, risk management or applied statistics to deepen expertise and expand career pathways.
GCSE: Applicants must achieve Grade 4 or Grade C or above in English Language and Mathematics/Numeracy. Accepted equivalents include Key Skills Level 2, NVQ Level 2 Functional Skills, Skills for Life Level 2, Higher Diplomas, and Essential Skills Level 2 from Northern Ireland or Wales.IELTS: Applicants must achieve an overall IELTS score of 6.0, with no component below 5.5. The test must be taken within two years of the course start date.TOEFL iBT: Applicants require an overall score of 78, with minimum scores of Reading 18, Writing 17, Listening 17, and Speaking 20.CBSE / INDIA: Applicants must have completed Standard 12 or an equivalent Indian qualification with a minimum of 65% overall, including at least 60% in Mathematics and 60% in the chosen subject.UCAS: Applications are submitted through UCAS, where all academic qualifications are assessed against the university’s entry requirements. Accurate submission of grades is essential for consideration.A-LEVEL: Applicants must achieve BBC with a minimum of two A Levels, with no more than 20 UCAS points from AS qualifications. Mathematics at A Level is mandatory, with a minimum grade requirement of C or above.INTERNATIONAL BACCALAUREATE (IB): The IB Diploma is accepted on its own or in combination with other qualifications, with a minimum requirement of 28 points overall. Applicants must also achieve a grade 5 in Higher Level Mathematics.AMERICAN (USA): Applicants must hold a High School Diploma with a minimum GPA of 3.0, along with either an ACT score of 24, two AP exams graded 3 or above, or an International SAT score of 1100 (old SAT I). Subject-specific AP requirements may apply for certain courses.ActuaryData AnalystStatisticianQuantitative AnalystOperations Research AnalystFinancial AnalystRisk AnalystEconomistCryptographerMathematicianData ScientistMarket Research AnalystBiostatisticianMachine Learning EngineerAlgorithm DeveloperResearch ScientistInvestment AnalystStatistician ConsultantSoftware Engineer (Mathematical Modeling)Computational Scientist
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