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QS Rank:

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3

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University of Oxford

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Oxfordshire

United Kingdom

The MSc in Mathematical and Computational Finance at the University of Oxford is an esteemed program designed for individuals who aspire to excel in the intersection of finance, mathematics, and computer science. This comprehensive master's degree provides students with advanced quantitative skills and analytical capabilities essential for tackling complex financial problems. As a student in this program, you will receive a world-class education from one of the most prestigious universities globally, known for its rigorous academic standards and commitment to research excellence. The program combines theoretical knowledge with practical applications, making it a suitable choice for those aiming to make impactful contributions in the financial sector.

The curriculum of the MSc in Mathematical and Computational Finance is meticulously crafted to cover essential topics such as stochastic calculus, financial modeling, risk management, and algorithmic trading. Core courses, complemented by a selection of elective modules, allow students to tailor their learning experience to align with their career aspirations. This flexibility enables you to delve deeper into areas that are of particular interest, such as asset pricing, machine learning applications in finance, or portfolio optimization. The program is structured to ensure that graduates possess both the theoretical foundations and practical skills necessary for success in various financial roles.

At the heart of the program lies the expertise of the faculty, comprised of distinguished scholars and industry practitioners who bring a wealth of knowledge to the classroom. Their innovative teaching methodologies encompass a blend of lectures, interactive workshops, and hands-on projects, which foster an engaging learning environment. Faculty members are approachable and dedicated to mentoring students, creating opportunities for collaboration on research projects that may lead to publications in esteemed academic journals or presentations at international conferences.

The University of Oxford provides extensive research opportunities, supported by state-of-the-art resources and facilities. Students are encouraged to engage in independent research, with access to vast datasets and cutting-edge software tools. The university's strong emphasis on research creates a vibrant intellectual community that inspires innovation and creativity. Additionally, collaboration with leading financial institutions offers students valuable insight into real-world applications of their studies, as well as opportunities for internships and networking.

In terms of career pathways, graduates of the MSc program in Mathematical and Computational Finance at the University of Oxford are highly sought after by top-tier financial firms, consulting agencies, and tech companies. The university's robust placement services and industry connections facilitate a smooth transition from academia to the professional world. Alumni have successfully secured positions in a variety of sectors, including investment banking, asset management, financial consulting, and quantitative research. The program not only equips students with technical skills but also emphasizes soft skills such as teamwork, communication, and problem-solving, which are essential for thriving in today's competitive job market.

Many alumni have shared their success stories, detailing how the MSc in Mathematical and Computational Finance has propelled their careers. From landing roles at global financial institutions like Goldman Sachs and JP Morgan to starting their own fintech companies, the impact of this program on graduates' professional trajectories is undeniable. Testimonials highlight the transformative nature of the program, with students praising the supportive learning environment and the lifelong connections formed during their time at the university.

Unique features of the MSc in Mathematical and Computational Finance program include access to a diverse and vibrant international student body, with approximately 45% of students coming from outside the UK. This diversity enriches classroom discussions and fosters a global perspective on financial issues. The university's location in Oxford, a city renowned for its academic heritage and vibrant cultural scene, adds to the overall experience, providing students with a stimulating environment in which to learn and grow both personally and professionally.

The admissions process for the MSc in Mathematical and Computational Finance requires a strong academic background, particularly in mathematics or related fields. Applicants are expected to hold a relevant undergraduate degree, and proficiency in English is a must for non-native speakers. Acceptable English language tests include the IELTS and TOEFL, with minimum scores of 7.5 and 110, respectively. Admission also involves a holistic review of the applicant's academic achievements, letters of recommendation, and any relevant work experience.

Why Study Mathematical and Computational Finance at University of Oxford

  • A popular choice for international students with a diverse community that enriches the academic experience.
  • Learn from renowned faculty members who are leaders in their fields and have extensive industry experience.
  • Access to high-end laboratories and resources that facilitate groundbreaking research and practical learning.
  • Robust career services and excellent placement programs that significantly enhance employability after course completion.
  • A curriculum that is continuously updated to reflect changes in the financial industry and technological advancements.
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Total Tuition Fees

$48,640

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Duration

10 Months

Ranking

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#5

US World and News Report

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#1

The World University Rankings

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#3

QS World University Rankings

Class Profile

Diversity

Africa:

2%

Oceania:

1%

UK:

67%

EU:

10%

North America:

6%

Asia:

6%

Others:

8%

Eligibility Criteria

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Accepted fields include mathematics, statistics, computer science, related quantitative disciplines.

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At least 3.6 / 4 undergraduate GPA is expected.

English Proficiency Tests

  • IELTS

    7.5

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  • TOEFL

    110

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  • PTE

    68

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Application Requirements

Here's everything you need to know to ensure a complete and competitive application—covering the key documents and criteria for a successful submission.

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Application Fee: 75

  • intake

    Transcript

  • intake

    Statement of Purpose

  • intake

    Resume

Application Deadlines

Single Deadline
SpringJan 29, 2025

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