MSc Mathematical Finance

York

 

INTAKE: September

Program Overview

The MSc in Mathematical Finance at York is designed for students with a strong mathematical background, aiming to deepen their understanding of financial mathematics. The program emphasizes rigorous analytical skills, mathematical modeling, statistical analysis, and computational methods, preparing graduates for roles such as quantitative analysts, risk managers, and financial engineers.

Curriculum: The curriculum comprises core modules including Mathematical Methods of Finance, Theory of Finance, Stochastic Calculus and Black-Scholes Theory, Computational Finance with Python, and Interest Rate Modelling. Students also select one optional module, such as Corporate Finance and Governance or Financial Econometrics, allowing for specialization based on individual interests. The program culminates in a Finance Dissertation, offering students the opportunity to conduct independent research in a chosen area of financial mathematics.

Research Focus: Students engage in research-informed teaching, working closely with dedicated academic staff who are leaders in the field. The program encourages independent research projects, fostering a deep understanding of complex financial models and theories. This focus equips students with the analytical skills necessary for advanced roles in the finance industry or for pursuing further academic study.

Industry Engagement: The University of York's Department of Mathematics has strong ties with the financial industry, ensuring that the curriculum aligns with current market needs. This connection provides students with networking opportunities and insights into real-world financial applications, enhancing their employability upon graduation.

Global Perspective: The online distance learning format of the MSc in Mathematical Finance allows students from around the world to enroll, bringing diverse perspectives to the program. This global cohort enriches the learning experience, preparing students to operate effectively in international financial markets and multicultural work environments.

Pollster Education

Location

York

Pollster Education

Score

IELTS 6.5

Pollster Education

Tuition Fee

£ 33700

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% 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.
    • TOEFL: A minimum overall score of 87, with at least 21 in Listening, 21 in Reading, 21 in Speaking, and 23 in Writing.
    • PTE Academic: A minimum overall score of 61 with no individual score below 55.
  • 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.

The University of York, located in the UK, offers a range of scholarships to support their educational journey. These scholarships aim to recognize academic excellence, encourage cultural diversity, and provide financial assistance to deserving students. 

Academic Excellence Scholarships: The University of York offers scholarships based on academic merit to outstanding international students applying for undergraduate or postgraduate programs. The scholarships provide financial support in the form of partial tuition fee reductions.

Vice-Chancellor's Scholarships: These prestigious scholarships are awarded to exceptional international students who demonstrate outstanding academic achievements and leadership potential. The scholarships cover full tuition fees and also provide a generous living stipend to support the students' living expenses during their studies.

Departmental Scholarships: Many departments within the University of York offer scholarships to international students within specific academic fields. These scholarships may cover partial or full tuition fees and are awarded based on academic excellence and potential within the chosen field.

Country-Specific Scholarships: The University of York provides scholarships specifically designed for students from certain countries or regions. These scholarships aim to promote diversity and international collaboration. Examples include the York Graduate Research School Scholarships for students from specific countries or regions.

Research Scholarships: International students interested in pursuing research-based programs such as Ph.D. or MPhil have opportunities to apply for research scholarships. These scholarships provide financial support by covering tuition fees and offering a stipend to assist with living expenses. Funding sources for research scholarships include government grants, research councils, and industry partnerships.

External Scholarships: The University of York encourages international students to explore external scholarship opportunities provided by governments, organizations, or foundations in their home countries. The university provides guidance and support to students in identifying and applying for these external scholarships.

Graduates of the MSc Mathematical Finance program from the University of York are well-poised for impactful careers at the intersection of finance, mathematics, and data analytics. 

Quantitative Analyst: Graduates can work as quantitative analysts, developing mathematical models, conducting data analysis, and providing insights that inform trading strategies and risk management decisions.

Financial Risk Manager: Equipped with risk management expertise, graduates can become financial risk managers, responsible for identifying, assessing, and mitigating financial risks within organizations.

Algorithmic Trader: Graduates can pursue roles as algorithmic traders, using quantitative strategies and algorithms to execute trades and optimize investment portfolios.

Financial Data Analyst: With skills in data analysis, graduates can work as financial data analysts, extracting insights from financial data to inform investment decisions and market predictions.

Quantitative Researcher: Graduates can excel as quantitative researchers, conducting empirical studies, developing predictive models, and contributing to financial research initiatives.

Financial Software Developer: Equipped with knowledge of financial software, graduates can become financial software developers, designing and implementing software solutions for quantitative analysis and trading.


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