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QS Rank:

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477

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Royal Holloway University of London

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Surrey

United Kingdom

MSc in Computational Finance at Royal Holloway University of London is a prestige program designed for those seeking a comprehensive understanding of finance through advanced computational methods. This Master’s program marries theoretical knowledge with practical application, providing students with the tools necessary to navigate the complex world of finance. The curriculum is meticulously crafted to equip students with the essential skills for modern financial analysis, modeling, and research. Students will delve into topics ranging from quantitative finance to algorithmic trading, all while benefiting from the university's top-tier faculty and extensive research facilities.

The program's curriculum features a diverse range of courses, including Financial Mathematics, Computational Methods in Finance, and Risk Management. Through these courses, students will learn how to apply advanced mathematics and statistical techniques to financial problems. They will also engage with real-world financial data, gaining hands-on experience that is crucial in today’s data-driven financial landscape. The innovative teaching methodologies employed by the faculty encourage students to think critically and develop their analytical skills, transforming them into competent finance professionals.

At Royal Holloway, students are not only taught by distinguished faculty members but also have the opportunity to engage in groundbreaking research. The university boasts state-of-the-art facilities and resources that support both individual and collaborative projects. Students can partake in research initiatives that align with their interests and career goals, often working alongside faculty on significant projects within the realm of computational finance. This environment fosters creativity and innovation, allowing students to contribute to the latest advancements in the field.

Moreover, one of the standout features of this program is its strong connections with industry leaders and financial institutions. The university's location in the UK, a major global financial hub, provides students with unparalleled internship opportunities and networking possibilities. Through partnerships with key industry players, students can gain invaluable work experience and insights that can significantly enhance their employability post-graduation. The internship program, often highlighted by students, allows for practical application of classroom knowledge in real-world settings, preparing graduates for successful careers in finance.

Career pathways for graduates of the MSc in Computational Finance are robust and diverse. Alumni have successfully secured positions in various sectors including investment banking, hedge funds, risk management firms, and financial consultancy. The program's focus on both technical and analytical skills ensures that graduates are well-equipped to meet the demands of a rapidly changing financial landscape. Testimonials from alumni underscore the program's effectiveness in preparing them for the competitive job market, often reporting high levels of job satisfaction and success in their respective fields.

In summary, the MSc in Computational Finance at Royal Holloway University of London provides a comprehensive educational experience that is both academically rigorous and professionally enriching. Students are equipped with the necessary skills and knowledge to excel in the finance industry, supported by experienced faculty and cutting-edge research opportunities. This program not only prepares students for immediate employment but also lays a strong foundation for future academic or professional pursuits.

Why Study Computational Finance at Royal Holloway University of London

  • A highly regarded program from a university consistently ranked among the top global institutions.
  • Access to world-class faculty members who are leaders in the field of finance and computational methods.
  • Extensive internship opportunities through partnerships with leading financial institutions.
  • Strong emphasis on research, allowing students to engage in meaningful projects aligned with industry needs.
  • Diverse and international student body, fostering a rich learning environment.
  • Cutting-edge laboratories and facilities to support practical learning and innovation.
  • High graduate employability rate, with alumni securing positions in prestigious firms worldwide.

As part of the entry requirements, prospective students should possess a relevant undergraduate degree in finance, mathematics, statistics, or a related field. Additionally, proficiency in English is necessary, with minimum scores required on recognized tests such as the IELTS (6.5), PTE (61), or TOEFL (88). These prerequisites ensure that students are adequately prepared for the academic rigor of the program.

The MSc in Computational Finance at Royal Holloway University of London is more than just an educational pursuit; it is a stepping stone to a fulfilling career in finance. With its rich curriculum, esteemed faculty, and unrivaled industry connections, this program stands out as a premier choice for students aspiring to thrive in the financial sector. Whether you aim to work in investment banking, risk management, or financial technology, this program will equip you with the tools, knowledge, and experience needed to succeed.

intake

Duration

12 Months

Ranking

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#593

US World and News Report

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#477

QS World University Rankings

Class Profile

Diversity

North America:

5%

Africa:

2%

UK:

65%

Oceania:

1%

Asia:

10%

Others:

4%

Europe:

12%

Eligibility Criteria

English Proficiency Tests

  • IELTS

    6.5

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  • PTE

    61

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  • TOEFL

    88

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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.

      Application Deadlines

      Standard Deadline
      WinterNov 1, 2023

      FAQs

      • Admissions Requirements

        To apply for the MSc in Computational Finance at Royal Holloway University of London, prospective students must meet the following requirements:

        1. Possess a relevant undergraduate degree in finance, mathematics, statistics, or a related field.
        2. Demonstrate proficiency in English, with minimum scores required on recognized tests:
        • IELTS: 6.5
        • PTE: 61
        • TOEFL: 88

        These prerequisites ensure that students are prepared for the academic rigor of the program.

      • Program Structure

        The MSc in Computational Finance features a meticulously crafted curriculum that includes diverse courses such as:

        • Financial Mathematics
        • Computational Methods in Finance
        • Risk Management

        Through these courses, students will learn to apply advanced mathematics and statistical techniques to real-world financial problems. The curriculum emphasizes hands-on experience by engaging with real-world financial data, which is crucial in today’s data-driven financial landscape.

      • Teaching Methods

        The faculty at Royal Holloway employs innovative teaching methodologies that encourage critical thinking and analytical skill development among students. This approach helps transform students into competent finance professionals, ready to tackle complex financial challenges.

      • Program Highlights

        Some standout features of the MSc in Computational Finance include:

        • Access to world-class faculty who are leaders in finance and computational methods.
        • Extensive internship opportunities through partnerships with leading financial institutions.
        • A strong emphasis on research, allowing students to engage in meaningful projects aligned with industry needs.
        • A diverse and international student body, fostering a rich learning environment.
        • Cutting-edge laboratories and facilities to support practical learning and innovation.
        • A high graduate employability rate, with alumni securing positions in prestigious firms worldwide.
      • Career Prospects

        Graduates of the MSc in Computational Finance have robust and diverse career pathways available. Alumni have successfully secured positions in various sectors, including:

        • Investment Banking
        • Hedge Funds
        • Risk Management Firms
        • Financial Consultancy

        The program's focus on technical and analytical skills equips graduates to meet the demands of a rapidly evolving financial landscape, with many reporting high levels of job satisfaction and success in their fields.

      • Research Opportunities

        At Royal Holloway, students have the opportunity to engage in groundbreaking research. The university boasts state-of-the-art facilities and resources that support both individual and collaborative projects. Students can partake in research initiatives that align with their interests and career goals, often working alongside faculty on significant projects within computational finance, fostering creativity and innovation.

      • Industry Connections

        One of the standout features of the MSc in Computational Finance is the university's strong connections with industry leaders and financial institutions. Located in the UK, a major global financial hub, Royal Holloway provides students with:

        • Unparalleled internship opportunities
        • Networking possibilities with key industry players

        These connections allow students to gain invaluable work experience and insights that significantly enhance their employability post-graduation.

      • Unique Aspects of the Program

        The MSc in Computational Finance at Royal Holloway stands out due to:

        • A highly regarded program from a university consistently ranked among the top global institutions.
        • Access to distinguished faculty members and cutting-edge laboratories.
        • A strong emphasis on both theoretical knowledge and practical application of financial concepts.
        • Opportunities for meaningful research aligned with industry needs.

        This combination of factors creates a premier educational experience for students aspiring to thrive in the financial sector.

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