logo
  • uni logo

QS Rank:

verified

3

uni logo

University of Oxford

flag

Oxfordshire

United Kingdom

icon

Program Rank

tooltip

1

The MSc in Mathematical and Computational Finance at the University of Oxford is an esteemed program meticulously designed for aspiring professionals aiming to excel in the rapidly evolving financial landscape. With a curriculum that fuses advanced mathematical theories with practical computational applications, this course prepares students for a dynamic career in finance, analytics, and quantitative research. The program epitomizes the rigorous academic standards of Oxford, offering a blend of theoretical knowledge, technical skills, and practical experience vital for success in today’s competitive job market.
The curriculum comprises a diverse range of courses that delve into essential areas such as stochastic processes, financial modeling, and risk management. Students will explore modules that cover topics like derivatives pricing, portfolio management, and algorithmic trading. Each course is thoughtfully crafted to ensure that students not only learn the theoretical underpinnings but also apply these concepts through extensive hands-on projects and real-world case studies. This integrated approach fosters a deep understanding of financial systems and equips students with the tools necessary to solve complex financial problems.
In addition to a robust curriculum, the program is supported by a distinguished faculty comprising seasoned professionals and leading researchers in the field of mathematical finance. The teaching methodology emphasizes a collaborative learning environment, encouraging students to participate actively in discussions, workshops, and seminars. Faculty members bring a wealth of expertise and insights from their extensive industry experience, providing students with valuable perspectives that bridge the gap between academia and real-world application. This mentorship is pivotal for students as they embark on their professional journeys.
The program also offers ample research opportunities, allowing students to engage in cutting-edge projects within the Mathematical Institute and collaborate with industry partners. This involvement not only enhances the learning experience but also opens doors to internships and job placements in prestigious financial institutions. Oxford's strong ties with leading firms in finance and technology provide students with unparalleled access to internship opportunities, facilitating a seamless transition from education to employment.
Career pathways for graduates of this program are both diverse and lucrative. Alumni have successfully pursued roles such as Mathematical Modellers, Computational Engineers, and Quantitative Analysts, with the average base salary reaching an impressive £110,000. The program's comprehensive training in mathematical finance ensures that graduates are well-prepared for challenging roles across various sectors, including investment banking, consulting, and quantitative research. Stories of successful alumni who have made significant impacts in their fields serve as inspiring testimonials to the program's effectiveness and the quality of education received.
Additionally, unique features of the MSc in Mathematical and Computational Finance include tailored workshops focused on skill development in programming languages essential for quantitative finance, such as Python and R. Students also benefit from participation in finance and technology conferences, enhancing their professional networking opportunities and keeping them abreast of industry trends. This multifaceted approach not only enriches the academic experience but also instills a strong professional ethos among graduates.
Why Study MSc in Mathematical and Computational Finance at University of Oxford?

  • Access to a world-class faculty with extensive industry experience and academic credentials.
  • A rich curriculum that combines theoretical knowledge with practical application, preparing students for real-world challenges.
  • Strong industry connections facilitating internships and job placements in top financial institutions.
  • Research opportunities that allow students to engage in innovative projects and collaborate with experts in the field.
  • An inclusive and diverse international student body, enriching the learning experience through varied perspectives.
  • A strong alumni network that provides mentorship and career guidance, helping graduates succeed in their careers.

To apply for the MSc in Mathematical and Computational Finance, prospective students must fulfill certain eligibility criteria. A minimum undergraduate GPA of 3.0/4.0 is expected, along with at least 15 years of formal education. Additionally, applicants are required to submit an IELTS score with a minimum of 7.5 or TOEFL score of at least 110, which demonstrates proficiency in English. The comprehensive application process includes the submission of a transcript, a statement of purpose, a resume, and letters of recommendation from both academic and professional sources.
The application deadline for the upcoming intake is set for January 29th, 2025. A non-refundable application fee of £75 is also required. This structured admission process ensures that candidates are well-prepared to undertake the rigorous demands of the program while contributing positively to the university community.

intake

Total Tuition Fees

$48,640

intake

Duration

10 Months

intake

Median Salary

$1,10,000

Ranking

icon

#5

US World and News Report

icon

#1

The World University Rankings

icon

#3

QS World University Rankings

intake

Intake

Fall ( Sept - Nov )

Class Profile

intake

Class Size

25

intake

Average Age

26

intake

Average Work Experience

2 Years

Diversity

Africa:

2%

Oceania:

1%

UK:

67%

EU:

10%

North America:

6%

Asia:

6%

Others:

8%

Career Outcomes

intake

Median Earnings After Graduation

$1,10,000 / year

Prospective Job Roles

Mathematical Modeller

Mathematical Researcher

Computational Engineer

Mathematical Educator

Mathematical Modeler

Mathematical Consultant

Mathematical Biologist

Computational Biologist

Computational Scientist

Mathematical Scientist

Computational neuroscientist

Mathematical Statistician

Mathematical Analyst

Top recruiters

logo
logo
logo
logo
logo
logo
logo
logo
logo
logo
logo
logo
logo
logo

Eligibility Criteria

intake

At least 3 / 4 undergraduate GPA is expected.

intake

At least 15 years of bachelor degree.

English Proficiency Tests

  • IELTS

    7.5

    tooltip
  • TOEFL

    110

    tooltip

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.

intake

Application Fee: 75

  • intake

    Transcript

  • intake

    Passport

  • intake

    Statement of Purpose

  • intake

    Resume

  • intake

    IELTS

  • intake

    Academic LOR

  • intake

    Professional LOR

Application Deadlines

Standard Deadline
FallJan 29, 2025

Fees and Funding

intake

Tuition Fees

$48,640 / year

intake

Overall Cost

$65,000 / year

FAQs

  • 1 in 5 applicants to this programme received an offer.
  • Oxford University website Mathematical Institute website
  • 7.5
  • Yes: you will need a laptop, for the computing aspects of the course. You will also be able to use the Departmental machines.

Ready to elevate your study abroad journey?

Book a call with us now and take the first step towards your global future!

Connect with us on our social media

  • icon
  • icon
  • icon
  • icon