Financial Mathematics

Study mode:On campus Study type:Day Languages: English
Local:$ 24.6 k / Year(s) Foreign:$ 28.9 k / Year(s) Deadline: Aug 1, 2025
30 place StudyQA ranking:3672 Duration:1 year

Photos of university / #edinburghuniversity

The MSc in Financial Mathematics at the University of Edinburgh offers a comprehensive postgraduate education designed to equip students with the advanced mathematical and computational skills required to excel in the finance industry. This program provides a rigorous foundation in the core principles of financial mathematics, including stochastic processes, financial derivatives, risk management, and quantitative modelling. Through a combination of lectures, seminars, and practical coursework, students will gain a deep understanding of how mathematical techniques are applied to solve complex problems in finance and banking. The curriculum is carefully structured to include essential topics such as probability theory, statistical analysis, numerical methods, and programming, ensuring graduates are well-prepared for careers in quantitative analysis, risk assessment, trading, and financial consulting. Students will also have the opportunity to specialise in areas such as computational finance, financial engineering, or actuarial science, depending on their interests and career aspirations. The university's state-of-the-art facilities and close links with industry provide students with valuable networking opportunities, internships, and exposure to real-world financial data. The MSc in Financial Mathematics is suitable for students with a strong background in mathematics, physics, engineering, or related disciplines who wish to apply their skills in the dynamic world of finance. Graduates from this program are highly sought after by financial institutions, investment banks, hedge funds, regulatory agencies, and consultancy firms. The program emphasizes both theoretical understanding and practical application, preparing students to analyze financial markets, develop quantitative models, and make data-driven decisions. With a renowned academic staff specializing in financial mathematics and related fields, students will benefit from expert guidance and cutting-edge research. Completing this MSc program not only provides advanced knowledge but also enhances analytical, computational, and problem-solving skills vital for a successful career in the ever-evolving financial sector.

The MSc in Financial Mathematics at The University of Edinburgh offers a comprehensive and rigorous curriculum designed to equip students with advanced mathematical and statistical skills essential for a career in the finance industry. The programme combines foundational theories with practical applications, ensuring graduates are well-prepared to tackle complex financial problems across various sectors. Throughout the course, students explore key topics such as stochastic processes, computational methods, derivatives pricing, risk management, and quantitative strategies. The curriculum emphasizes a strong mathematical background, including areas such as linear algebra, probability, and differential equations, integrated with financial theory and real-world case studies. Students have the opportunity to develop proficiency in programming and data analysis using tools like Python, R, and MATLAB, enabling them to implement quantitative models effectively. The programme also includes modules on financial markets, investment analysis, and regulatory frameworks, providing a broad understanding of the economic context of financial mathematics. In addition to coursework, students benefit from seminars, workshops, and guest lectures delivered by industry professionals, offering insights into current challenges and innovations in finance. The university’s strong connections with financial institutions and sector employers facilitate internships and networking opportunities, enhancing employability upon graduation. Graduates of this MSc programme are prepared for careers as quantitative analysts, risk managers, financial engineers, and data scientists in banks, hedge funds, consultancy firms, and regulatory agencies. The programme is suitable for students with a solid background in mathematics or related disciplines who wish to specialize further in financial mathematics and its applications. With its blend of theoretical depth and practical skills, the MSc in Financial Mathematics at The University of Edinburgh aims to develop versatile professionals capable of making quantitative decisions in complex financial environments, contributing effectively to the finance sector’s evolving landscape.

A minimum of 120 SCQF credit points from Level 10 courses, including core modules such as Financial Mathematics, Mathematical Methods for Finance, and Probability Theory. Students are also required to complete additional advanced modules in areas like stochastic processes, numerical methods, and econometrics to ensure a comprehensive understanding of quantitative finance. A strong foundation in calculus, linear algebra, and statistics is necessary, typically achieved through prior coursework or during the program. The program emphasizes the application of mathematical techniques to solve complex problems in finance, requiring students to undertake a substantial research project or dissertation in their final year. This project involves analyzing real-world financial data, developing mathematical models, and validating their effectiveness through simulations. In addition to coursework, students must demonstrate proficiency in programming languages such as Python, R, or MATLAB, which are integral to financial modeling and data analysis. Opportunities for practical experience include internships and industry projects, which are encouraged but not mandatory. The program's curriculum also includes modules on financial regulation, ethical considerations in finance, and risk management strategies, preparing students for diverse roles in financial institutions, investment firms, and regulatory agencies. To graduate, students must pass all core modules and electives, achieve a minimum overall pass mark, and complete the dissertation to a satisfactory standard. Entry requirements typically include a strong background in mathematics or related disciplines, with a specified minimum grade or equivalent qualification. The program aims to produce graduates equipped with advanced quantitative skills, a deep understanding of financial markets, and the ability to develop innovative solutions to financial challenges.

The University of Edinburgh offers various funding options for students enrolled in the Financial Mathematics program. prospective students can explore a range of financial support opportunities, including scholarships, studentships, and bursaries specifically aimed at supporting tuition fees and living expenses. International students are encouraged to apply for scholarships that are open to both domestic and international applicants, such as the Edinburgh Global Undergraduate Enhanced Scholarship and specific departmental awards. The university also provides information on external funding sources, including government grants, private scholarships, and financial aid programs relevant to students studying financial mathematics.

Students are advised to consult the university's dedicated scholarships web pages regularly for updates on new funding opportunities and application deadlines. Additionally, the university facilitates access to student loans and maintenance grants, which can substantially reduce the financial burden during the course duration. For students from the UK, the Student Loan Company offers loans covering tuition fees and maintenance costs, which can be repaid after graduation based on income levels. International students should consider sponsorship options from their home country or international scholarship programs that support studies at recognized institutions like the University of Edinburgh.

Furthermore, the university offers work placement opportunities and part-time jobs within the university premises, enabling students to earn additional income while gaining practical experience relevant to their field of study. Many postgraduate programs, including those in Financial Mathematics, have partnerships with industry and financial institutions that sometimes provide funding or internship placements. Information regarding funding for postgraduate research or taught MSc degrees can be obtained through the university’s Graduate School finance pages. It is recommended that students contact the university's financial aid office for personalized advice, application procedures, and detailed eligibility criteria for each funding opportunity. Overall, financial support at the University of Edinburgh aims to ensure that talented students can pursue their academic goals without undue financial hardship, thereby fostering academic excellence and inclusivity within the Financial Mathematics program.

The MSc in Financial Mathematics at The University of Edinburgh is a highly regarded postgraduate program designed to equip students with a rigorous understanding of the mathematical techniques and models used in the finance industry. The program is suitable for students who have a strong background in mathematics, statistics, or related disciplines and are interested in pursuing careers in quantitative finance, risk management, investment banking, or asset management.

The curriculum combines advanced mathematical methods with practical financial applications, ensuring that graduates are well-prepared for the demands of the finance sector. Courses typically cover topics such as stochastic calculus, financial derivatives, risk theory, quantitative methods, financial modelling, and computational techniques. Special emphasis is placed on developing skills in data analysis, programming (often involving Python, R, or MATLAB), and simulation, which are essential for modern financial analysis and decision-making.

The program is delivered through a combination of lectures, seminars, and tutorials, with opportunities for students to engage in project work and practical assignments. This blend of theoretical and applied learning helps students to understand complex financial concepts and apply mathematical tools effectively in real-world contexts. Many modules include case studies that reflect current industry issues, providing practical insights and enhancing employability.

In addition to rigorous academic content, the MSc in Financial Mathematics at Edinburgh offers students access to excellent career support services. These include employer networking events, internship opportunities, and tailored career advice. The university maintains strong links with financial institutions and industry professionals, which can facilitate internships and job placements for graduates.

Students also benefit from the university’s vibrant academic community and resources, including access to state-of-the-art computer labs and extensive library collections. The program typically lasts one year full-time, with options for part-time study available.

Graduates of the MSc in Financial Mathematics are well-positioned for careers in hedge funds, investment banks, consultancy firms, and other organizations requiring sophisticated quantitative skills. Many alumni go on to succeed in roles such as quantitative analyst, financial engineer, risk manager, or data scientist.

The University of Edinburgh's reputation for excellence in research and teaching, combined with the program's comprehensive curriculum, makes this MSc a compelling choice for individuals seeking to specialize in financial mathematics and enter the competitive financial services industry.

Similar programs:
Study mode:On campus Languages: English
Foreign:$ 17.9 k / Year(s)
Deadline: Jan 15, 2026 183 place StudyQA ranking: 6260
Study mode:Online Languages: English
Local:$ 13.8 k / Year(s) Foreign:$ 16 k / Year(s)
Deadline: Aug 25, 2025 1 place StudyQA ranking: 1866
Study mode:On campus Languages: English
Local:$ 21.5 k / Year(s) Foreign:$ 21.5 k / Year(s)
51 place StudyQA ranking: 3282
Study mode:On campus Languages: English
Local:$ 2.41 k / Year(s) Foreign:$ 8.67 k / Year(s)
Deadline: Dec 1, 2025 StudyQA ranking: 6353
Study mode:On campus Languages: English
Local:$ 2.2 k / Year(s) Foreign:$ 13.9 k / Year(s)
Deadline: Jun 1, 2026 66 place StudyQA ranking: 10368