Mathematical Finance (MSc)

Program Overview

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The University of York's online MSc Mathematical Finance equips students with the skills to excel in the financial sector. Through mathematical modeling and risk analysis, it develops critical thinking and analytical abilities. The program offers flexibility, personalized support, and cutting-edge research, preparing graduates for careers in trading, risk management, and more.

Program Outline

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Extracted Information from MSc Mathematical Finance (online) at University of York:

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Degree Overview:

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Overview:

This online program, entirely taught online, equips students with the skills necessary to work in the financial sector and adapt to new developments in the field. It focuses on building critical thinking and analytical skills through mathematical modeling and risk analysis.

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Objectives:

• Develop expertise in mathematical and quantitative finance.
• Apply mathematical models to analyze various financial securities.
• Master numerical techniques for pricing, hedging, and analyzing derivatives.
• Hone research skills through in-depth exploration of current topics in quantitative finance.
• Enhance written and oral communication skills in a complex mathematical context.

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Program Description:

• This distance learning program mirrors the success of the campus-based MSc Mathematical Finance.
• Dedicated academic staff, leaders in their field, provide personalized support through online tutorials and supervision sessions.
• Offers flexibility to suit diverse learner needs.
• Focuses on cutting-edge research, relevant to current industry practices.

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Outline:

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Structure:

• This program is divided into three stages: Certificate, Diploma, and Dissertation.
• Completion of all three stages awards the MSc degree.
• Exiting with a Postgraduate Certificate or Postgraduate Diploma is possible after completing the respective stages.

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Course Schedule:

• Two starting points per academic year: September and February.
• Two four-month teaching periods: October-January and March-July.

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Modules:

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Certificate Stage:

• Core modules:
• Mathematical Methods of Finance
• Discrete Time Modelling and Derivative Securities
• Portfolio Theory and Risk Management

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Diploma Stage:

• Core modules:
• Stochastic Calculus and Black-Scholes Theory
• Two elective modules:
• Numerical and Computing Techniques in Finance
• Modelling of Bonds, Term Structure and Interest Rate Derivatives
• Credit Risk

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Dissertation:

• Students choose from a list of provided topics or propose their own (subject to approval).
• Topics align with current research and industry practices.
• Regular one-to-one meetings with supervisors for guidance and feedback.

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Note:

Modules may change to reflect new developments and staff expertise.

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Assessment:

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Methods:

• Regular coursework assignments throughout each module.
• Recorded online viva at the end of the Certificate and Diploma stages.
• Dissertation assessed through research, analysis, and written communication.

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Criteria:

• Coursework assesses problem-solving, application of theory, and implementation skills.
• Dissertation evaluates research ability, critical reasoning, and written communication skills.

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Teaching:

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Methods:

• Online one-to-one tutorials with screen sharing and handwriting features.
• Interactive presentations with video recordings.
• Discussion forums for peer interaction.
• Dissertations with dedicated online supervision.

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Faculty:

• World-leading academics who challenge students to think independently.
• Access to short videos and study notes for reinforcement.
• Regular online meetings with supervisors for individualized support.

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Technology:

• Free electronic copies of books from the "Mastering Mathematical Finance" series.
• Access to the Virtual Learning Environment (VLE) for course materials and communication.
• Dedicated library service for distance learners.

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Careers:

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Opportunities:

• Trading and pricing financial securities.
• Fund management.
• Risk management.
• Research and development.
• PhD studies.

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Examples:

• Financial analyst
• Accountant
• Credit risk manager
• Investment manager
• Risk analyst
• Statistician

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Skills:

• Communication (written and oral).
• Application and implementation of current research.

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Other:

• This program is entirely online, requiring no physical presence on campus.
• Suitable hardware, software, and internet connection are necessary.
• The program caters to students with recent degrees and professionals with relevant experience.
• Students receive transferrable skills beyond finance, including critical reasoning and digital literacy.
• The program emphasizes flexibility, allowing students to transfer between fast and standard streams.
For the most up-to-date information, please refer to the official program website at https://www.york.ac.uk/study/postgraduate/courses/msc-mathematical-finance-online/.

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Annual tuition fees for 2024/25 Study modeUK (home) / International and EU Part-time, distance learning (18 months)This is the fee per stage (stage 1 - Certificate; stage 2 - Diploma; and stage 3 - Dissertation). Each stage takes six months. £7,945 Part-time, distance learning (3 years)This is the fee per stage (stage 1 - Certificate; stage 2 - Diploma; and stage 3 - Dissertation). Each stage takes one year. £7,945 The fees quoted above are payable for each stage of the course. Each stage of the course (Certificate, Diploma, Dissertation) lasts six months or one year.