BSc Acoustics and Music Technology
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MSc Financial Modelling and Optimization
The Kings Buildings Campus
INTAKE: September
Program Overview
The MSc in Financial Modelling and Optimization offered by the University of Edinburgh provides advanced training in quantitative finance, equipping students with the skills to build and apply mathematical models to financial markets. This program combines theoretical knowledge with practical skills, preparing graduates for careers in finance, risk management, and investment analysis.The MSc Financial Modelling and Optimization program at the University of Edinburgh equips students with specialized skills sought after in the finance industry. Through rigorous training in quantitative methods and practical applications, graduates are ready to tackle challenges in modern financial markets and drive innovation in investment strategies and risk management.
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Quantitative Finance Fundamentals: The program delves deep into quantitative finance concepts, including stochastic calculus, financial derivatives, and asset pricing models. Students gain a solid foundation in mathematical techniques essential for analyzing financial data and developing robust models.
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Financial Engineering and Modelling Techniques: Participants learn to design and implement financial models using programming languages like Python and R. They explore optimization techniques for portfolio management, risk assessment, and algorithmic trading, gaining hands-on experience in building quantitative solutions for real-world financial problems.
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Data Analysis and Machine Learning in Finance: The curriculum integrates data analysis and machine learning applications in finance. Students acquire skills in handling large datasets, implementing predictive models, and using machine learning algorithms for financial decision-making.
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Risk Management and Portfolio Optimization: The program emphasizes risk management strategies and portfolio optimization techniques. Students learn to assess and mitigate financial risks using quantitative methods, optimizing investment portfolios to achieve desired risk-return profiles.
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Industry-Relevant Projects and Case Studies: Throughout the program, students engage in industry-relevant projects and case studies. They collaborate with industry partners, applying their skills to solve complex financial problems and gaining insights into practical applications of financial modelling and optimization.
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Career Preparation and Professional Development: Graduates of this program are well-prepared for roles in financial institutions, hedge funds, asset management firms, and consulting companies. They can pursue careers as quantitative analysts, risk managers, financial engineers, or investment strategists, leveraging their expertise in financial modelling and optimization.
Location
The Kings Buildings Campus
Score
IELTS: 6.5
Tuition Fee
£ 38100
Postgraduate entry requirements:
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Academic Qualifications: Prospective postgraduate applicants to the University of Edinburgh are typically required to have achieved a minimum academic qualification of approximately 60%, based on their previous academic achievements and qualifications.
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English Language Proficiency:
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IELTS (International English Language Testing System): Minimum overall score of 6.5, with at least 6.0 in each component (Listening, Reading, Speaking, Writing).
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TOEFL (Test of English as a Foreign Language): Minimum score of 100 on the internet-based test (iBT), with at least 20 in each component (Reading, Listening, Speaking, Writing).
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PTE (Pearson Test of English): Minimum overall score of 70, with at least 59 in each component (Listening, Reading, Speaking, Writing).
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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.
The University of Edinburgh offers a range of scholarships and funding opportunities specifically designed to support international students pursuing undergraduate, postgraduate, and research programs. These scholarships aim to promote diversity, academic excellence, and global engagement.
Global Scholarships: The University of Edinburgh offers Global Scholarships to outstanding international undergraduate students. These scholarships provide financial assistance towards tuition fees and living expenses, enabling talented students from around the world to access quality education at Edinburgh.
Edinburgh Global Research Scholarships: International postgraduate students pursuing research-based programs (Ph.D., MSc by Research) can apply for Edinburgh Global Research Scholarships. These scholarships provide full or partial funding for tuition fees and living expenses during the research program.
School-specific Scholarships: Some academic schools and departments within the university offer scholarships targeting international students in specific disciplines or programs. These scholarships may be merit-based or need-based and vary in terms of eligibility criteria and funding amounts.
Commonwealth Scholarships: The University of Edinburgh participates in various Commonwealth scholarship schemes, providing opportunities for students from Commonwealth countries to study in the UK. These scholarships are funded by the UK government and other organizations.
External Funding Sources: International students are encouraged to explore external funding sources, such as government scholarships, private organizations, and international foundations, to support their studies at the University of Edinburgh.
It is important to note that scholarship availability, criteria, and application deadlines may change from year to year.
The MSc Financial Modelling and Optimization program at the University of Edinburgh prepares students for diverse and rewarding careers in quantitative finance, risk management, and investment analysis. Graduates are equipped with sought-after skills and expertise to excel in dynamic and competitive roles within the finance industry.
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Quantitative Analyst (Quant): Graduates of the MSc Financial Modelling and Optimization program are well-suited for roles as quantitative analysts or quants. They apply advanced mathematical and statistical techniques to develop financial models, analyze market trends, and optimize investment strategies. Quants are in demand by banks, hedge funds, and asset management firms seeking to enhance their quantitative research capabilities.
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Risk Manager: With expertise in financial modelling and risk assessment, graduates can pursue careers as risk managers. They play a crucial role in identifying, assessing, and mitigating financial risks across various asset classes. Risk managers are employed by financial institutions, insurance companies, and regulatory agencies to ensure compliance with risk management protocols.
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Financial Engineer: Financial engineers design and implement quantitative solutions for pricing derivatives, structuring financial products, and optimizing trading strategies. Graduates with a background in financial modelling and optimization are equipped to excel in this field, leveraging their technical skills to innovate within the finance industry.
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Investment Analyst/Strategist: Many graduates of the program pursue careers as investment analysts or strategists. They conduct in-depth financial analysis, evaluate investment opportunities, and develop portfolio optimization strategies. Investment analysts work for investment banks, asset management firms, and private equity companies, assisting clients in making informed investment decisions.
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Algorithmic Trader: The program equips students with the skills to build algorithmic trading systems and execute automated trading strategies. Graduates may pursue roles as algorithmic traders, leveraging quantitative methods and machine learning techniques to capitalize on market inefficiencies and optimize trade execution.
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Consultant in Financial Services: Consulting firms value professionals with expertise in financial modelling and optimization. Graduates can work as consultants, advising financial institutions on risk management, regulatory compliance, and business strategy. They contribute to the development of innovative solutions tailored to meet the evolving needs of the finance industry.
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PhD Researcher/Academic Career: Some graduates choose to pursue further studies and research in quantitative finance, leading to a career in academia or research institutions. A PhD in finance or related fields opens doors to opportunities in teaching, research, and academic leadership.
