QuantNet Ranking, the go-to reference for all financial engineering and mathematical finance applicants, has made a major move recently!
QuantNet has released its 2024 UK Quant Master's Program Rankings!
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Source: QuantNet Ranking
In recent years, the financial industry has maintained strong momentum, with fierce competition in both applications and employment.
To stand out in the financial industry, the Financial Engineering/Mathematical Finance programs, renowned for their "high employment rates" and "high salaries," have become a popular choice among students.
And QuantNet Ranking, as the recognized authoritative ranking in the financial engineering and mathematical finance field, holds great reference value for students planning to apply for MFE programs.
Of course, while the US has traditionally been a top choice for quant enthusiasts, the UK is gradually becoming a primary destination for many international students.
This is also the original intention behind QuantNet Ranking's launch of the UK rankings. UK Quant master's programs have long lacked a dedicated ranking, and this move will undoubtedly fill a major gap, providing valuable insights for future students and industry stakeholders.
Highlights of the 2024 UK QuantNet Rankings
Between February and March 2024, QuantNet surveyed 11 quantitative finance master's programs in the UK regarding admissions, employment, and other aspects (some programs had not yet compiled the necessary data, and more programs are expected to participate in future rankings).
All invited programs provided data for ranking based on the following weighted categories:
Peer Assessment Score (25%)
Placement Success (50%)
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Employment Rate at Graduation (10%)
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Employment Rate Three Months After Graduation (15%)
Average Starting Salary (25%)
Student Selectivity (25%)
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Acceptance Rate (12.5%)
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Enrollment Rate (12.5%)
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Source: QuantNet Ranking
Imperial College London takes the top spot. Its Mathematics and Finance program boasts a 100% employment rate within three months of graduation! The average starting salary for graduates reaches as high as £75,000.
University of Oxford ranks 2nd. Although the employment rate of its program is not outstanding, thanks to its excellent institutional reputation, the Mathematical and Computational Finance program offers an average starting salary of £70,000, second only to Imperial.
Compared to UCL's Financial Risk Management program, the Computational Finance program ranks higher, securing the 3rd position, with a 100% employment rate within three months of graduation.
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Source: QuantNet Ranking
👉 For the full rankings, please visit the official website:
https://quantnet.com/uk-rankings/
Now, let's take a closer look at the popular financial engineering and mathematical finance programs in the UK!
Program Recommendations
Imperial College London
Mathematics and Finance
This program deepens students' understanding of the main aspects of mathematical finance. It explores the latest industry practices and research, as well as regular insights from leading practitioners. The curriculum covers essential mathematical foundations, financial principles and tools, and implementation and data analysis.
Students will receive training in a range of mathematical, statistical, and programming tools necessary to pursue or advance a career in financial services. They will also apply knowledge from the coursework to research projects.
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Source: Imperial College London
Admission Requirements
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A 2:1 degree or above
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Major in Mathematics, Applied Mathematics, Statistics, or Physics
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Interview
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IELTS 7.0 (6.5), TOEFL 100
University of Oxford
Mathematical and Computational Finance
This program provides students with a strong mathematical background and the skills needed to apply their expertise to solve problems. It cultivates the ability to formulate mathematical problems in response to the needs of the financial industry.
Students will conduct relevant mathematical and financial analyses, and develop and implement appropriate tools to present and interpret model results.
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Source: University of Oxford
Admission Requirements
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A 2:1 degree or above
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Applicants should have a background in probability, statistics, ordinary and partial differential equations, linear algebra, and analysis
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Interview
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IELTS 7.5 (7.0), TOEFL 110
University College London
Computational Finance
This program aims to provide advanced knowledge of computational finance methods, equipping students with the prerequisites for a successful career in financial "Quant" teams.
The curriculum includes advanced modules in quantitative and modeling skills, such as financial data and statistics, numerical methods in finance, and financial market modeling and analysis. These skills are essential for Quant roles in trading research, regulation, and risk. The program's uniqueness also lies in building a solid foundation in mathematics and statistics, along with advanced programming capabilities.
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Source: University College London
Admission Requirements
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A 2:2 degree or above
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Strong quantitative ability with good performance in mathematics and statistics exams
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IELTS 7.0 (6.5), TOEFL 96
Outstanding programs lead to excellent career prospects and return on investment. With the largest weight placed on placement success, the QuantNet ranking helps MFE applicants who are particularly concerned about employment to make more suitable program choices based on the ranking.
In recent years, the number of applicants for MFE programs has continued to rise, and admission thresholds have been steadily increasing, making these programs more competitive than ever.
For MFE program applications in the new cycle, CheersYou（清柚教育） still recommends: apply early!
Having a discerning eye for choosing schools and programs is crucial. One must be able to identify the highlights and prospects of each program to succeed in the future.
For more admission case studies and questions related to study abroad and graduate applications, feel free to contact CheersYou（清柚教育） through the information below to learn more.
