MSc Accounting and financial Management
The MSc Accounting and Financial Management course at Royal Holloway University of Lond...
MSc Computational Finance
Egham Campus
INTAKE: September
Program Overview
The MSc Computational Finance program at Royal Holloway University of London is designed to provide students with a strong foundation in both finance and computational methods. It combines advanced financial theory with practical programming and quantitative skills to equip students for careers in the rapidly evolving field of computational finance.
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Financial Theory and Practice: The program covers fundamental concepts and theories in finance, including portfolio management, derivatives, risk management, and asset pricing. Students gain a solid understanding of financial markets, instruments, and valuation techniques.
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Programming and Quantitative Methods: Students acquire programming skills and learn how to apply computational methods to solve financial problems. They study programming languages such as Python and R, and gain proficiency in data analysis, statistical modeling, and numerical methods.
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Financial Econometrics: The course focuses on the application of statistical and econometric techniques to financial data. Students learn how to analyze financial time series, estimate econometric models, and forecast financial variables. They also explore topics such as volatility modeling and risk measurement.
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Algorithmic Trading: Students study algorithmic trading strategies and learn how to design and implement automated trading systems. They explore topics such as market microstructure, high-frequency trading, and algorithmic risk management. Students gain hands-on experience with trading platforms and market data analysis.
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Risk Management: The program emphasizes the importance of risk management in financial decision-making. Students learn how to identify, measure, and mitigate financial risks using quantitative techniques. They explore topics such as value-at-risk, stress testing, and risk modeling.
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Financial Data Analytics: Students learn how to analyze and interpret large financial datasets using data analytics techniques. They gain insights into data visualization, machine learning algorithms, and data-driven decision-making in finance. Students also explore the ethical and legal considerations of working with financial data.
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Financial Technology (FinTech): The course covers the intersection of finance and technology, including topics such as blockchain, cryptocurrency, robo-advisory, and alternative lending platforms. Students gain an understanding of the impact of technology on the financial industry and explore innovative applications in financial services.
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Applied Computational Finance Projects: Students have the opportunity to apply their knowledge and skills to real-world financial projects. They work on individual or group projects, solving complex financial problems using computational methods and analyzing real financial data.
Location
Egham Campus
Score
IELTS: 6.5
Tuition Fee
£ 22000
Postgraduate Entry Requirements:
- Applicants should have successfully completed a bachelor's degree or its equivalent from a recognized institution with a minimum overall score of 60% to 65% or equivalent.
- English language proficiency is required, and applicants must provide evidence of their English language skills through an approved language test.
- IELTS: A minimum overall score of 6.5 with no individual component below 6.0.
- PTE Academic: A minimum overall score of 61 with no individual score below 54.
- Some postgraduate programs may have specific subject prerequisites or additional requirements.
Students must provide:
- academic marksheets & transcripts
- letters of recommendation
- a personal statement - SOP
- passport
- other supporting documents as required by the university.
Work experience: Some postgraduate courses may require relevant work experience in the field.
It is important to note that meeting the minimum entry requirements does not guarantee admission, as the university considers factors such as availability of places and competition for the program. Additionally, some courses may have higher entry requirements or additional selection criteria, such as interviews or portfolio submissions.
Royal Holloway, University of London offers a range of scholarships to support students in their academic pursuits. These scholarships are designed to recognize excellence and provide financial assistance to eligible students.
- Founder's Scholarship: This is the most prestigious scholarship at Royal Holloway, awarded to undergraduate students who demonstrate exceptional academic achievement and potential. It covers full tuition fees and provides a generous annual stipend.
- Royal Holloway Excellence Scholarship: This scholarship is awarded to undergraduate students based on their academic achievement and potential. It offers a £2,500 tuition fee waiver for each year of study.
- International Excellence Scholarship: This scholarship is specifically for international undergraduate students. It provides a tuition fee reduction of £4,000 per year for the duration of the program.
- Masters Scholarships: Royal Holloway offers a variety of scholarships for postgraduate students, including the RHUL Principal's Masters Scholarship, the RHUL International Excellence Masters Scholarship, and subject-specific scholarships.
- Sports Scholarships: These scholarships are available to students who excel in sports and have the potential to represent the university at a high level. They provide support in the form of financial assistance and access to training facilities.
It's important to note that scholarship availability, eligibility criteria, and application deadlines may vary.
The MSc Computational Finance program at Royal Holloway University of London provides graduates with a range of career prospects in the finance and technology sectors.
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Quantitative Analyst: Graduates can work as quantitative analysts, using their computational and analytical skills to develop mathematical models and algorithms for pricing financial instruments, risk management, and trading strategies.
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Risk Manager: Graduates can pursue careers in risk management, assessing and mitigating financial risks for banks, investment firms, or insurance companies. They use computational tools and quantitative techniques to measure and manage various types of risk.
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Financial Data Analyst: Graduates can work as financial data analysts, leveraging their programming and data analytics skills to analyze large financial datasets, identify patterns, and generate insights to support investment and business decisions.
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Financial Technology Specialist: Graduates can work in the field of financial technology, focusing on the development and implementation of innovative solutions in areas such as algorithmic trading, blockchain technology, or data-driven decision-making.
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Portfolio Manager: Graduates can pursue careers as portfolio managers, responsible for managing investment portfolios and making strategic investment decisions. They use computational finance tools and quantitative models to optimize portfolio performance and manage risk.
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Financial Consultant: Graduates can work as financial consultants, providing advisory services to clients in areas such as investment management, risk assessment, and financial technology implementation.
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Financial Software Developer: Graduates can work as software developers or engineers, specializing in developing financial software applications, trading platforms, or risk management systems.
The MSc Computational Finance program at Royal Holloway University of London prepares students for rewarding careers in the finance industry by providing them with a strong foundation in finance, computational methods, and practical skills. Graduates are well-equipped to tackle complex financial problems, analyze large datasets, and contribute to the development of innovative solutions in the evolving field of computational finance.
