MBA Master of Business Administration
The University of Sheffield offers an MBA program that provides a comprehensive underst...
MSc Statistics with Financial Mathematics
Western Bank
INTAKE: September
Program Overview
The MSc Statistics with Financial Mathematics program at The University of Sheffield offers a comprehensive curriculum that combines advanced statistical methods with financial modeling techniques.
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Statistical Theory: Students gain a solid understanding of statistical theory, including probability distributions, estimation, and hypothesis testing.
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Financial Mathematics: The program covers financial modeling, risk management, and derivative pricing techniques used in the financial industry.
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Time Series Analysis: Students learn how to analyze financial time series data and forecast financial market trends.
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Stochastic Processes: The curriculum includes the study of stochastic processes and their applications in finance.
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Quantitative Finance: Students explore quantitative methods for financial decision-making, including portfolio optimization and asset pricing.
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Statistical Computing: Students gain hands-on experience with statistical software such as R and Python, which are widely used in the financial industry.
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Financial Econometrics: The program covers econometric methods for analyzing financial data and testing financial theories.
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Dissertation Project: In the final stage of the program, students undertake an independent research project that applies statistical and financial techniques to a real-world problem.
Location
Western Bank
Score
IELTS 6.5
Tuition Fee
£ 24400
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%-70% 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.
- TOEFL: A minimum overall score of 88, with at least 19 in Listening, 20 in Reading, 22 in Speaking, and 19 in Writing.
- PTE Academic: A minimum overall score of 61 with no individual score below 56.
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.
Postgraduate students may be eligible for the following scholarships:
- Postgraduate Taught Merit Scholarship: This scholarship is available to UK, EU, and international students who have a conditional or unconditional offer to study a full-time or part-time postgraduate taught course at the University of Sheffield. The scholarship is worth 50% of the tuition fee for each year of study.
- International Merit Postgraduate Taught Scholarship: This scholarship is available to international students who have a conditional or unconditional offer to study a full-time postgraduate taught course at the University of Sheffield. The scholarship is worth 50% of the tuition fee for each year of study.
- Commonwealth Shared Scholarship Scheme: This scholarship is available to students from eligible developing Commonwealth countries who have a conditional or unconditional offer to study a full-time postgraduate taught course at the University of Sheffield. The scholarship covers the full tuition fee, airfare to and from the UK, and a monthly stipend.
Graduates of the MSc Statistics with Financial Mathematics program have promising career prospects in the financial sector.
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Quantitative Analyst: Graduates can work as quantitative analysts, developing mathematical models and algorithms for financial risk assessment and investment strategies.
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Financial Data Analyst: Graduates may pursue careers as financial data analysts, analyzing market trends and making data-driven investment decisions.
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Risk Manager: Some graduates may choose to work as risk managers, assessing and managing financial risks for banks and financial institutions.
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Financial Consultant: Graduates can work as financial consultants, providing expertise in statistical analysis and financial modeling to clients.
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Research Analyst: Graduates may pursue roles as research analysts, conducting research on financial markets and economic trends.
