Program Overview
Skip to content Accessibility statement Home Study at York Postgraduate taught Courses 2026/27 Statistics and Computational Finance (MSc) MSc Statistics and Computational Finance Explore contemporary statistical methodology and related data analysis Year of entry: 2026 (September) Overview Course content Fees and funding Teaching and assessment Careers Entry requirements Start date September 2026 View semester dates Length 1 year full-time School/department Department of Mathematics Apply for this course Sign up for event invites Sign up for our postgraduate emails to get event invites straight to your inbox. Find out more Train to work as a professional statistician and gain skills and experience working at the interface between statistics and finance. Our course emphasises data analysis and will provide you with contemporary statistical ideas and methodologies that are attractive to prospective employers. The skills you gain are useful for a wide range of financial data analysis and in a range of other sectors where data analysis is required, for example sociology, health science, medical science or biology. This experience is also an ideal foundation for further academic study; many of our students choose to progress to PhD.
Key Program Features
- Immersive On-Campus Experience: In-person seminars, laboratory sessions, and professional networking at University of York.
- Expert Faculty: Taught by research-active academics and practitioners with deep expertise in Natural Sciences.
- Diverse International Cohort: Study alongside students from around the world, broadening your global professional network.
- Research-Informed Curriculum: Content grounded in the latest academic research and real-world industry practice.
- Dissertation / Capstone Project: Culminating independent project applying your expertise to an original research question or industry challenge.
- Dedicated Career Support: Access to career coaching, employer networking events, and job placement assistance.
- 12 months Duration: Part-time and accelerated options may be available — enquire with the admissions office.
Career Opportunities
Careers and skills
The big data analysis skills you develop on this course provide attractive employment opportunities in a growing number of industries where such skills are in high demand. The course is also a good foundation for continuing your studies at PhD level.
Career opportunities
- Quantitative analyst
- Auditor
- Account manager for a bank
- Trainee chartered accountant
- Management associate
- Software developer
Transferable skills
- Confidence with high-level financial statistical analysis
- Logical thinking
- Analysis of problems
- Problem-solving
- Flexible thinking, the ability to learn and apply complex ideas quickly and precisely
- Digital literacy
- Time management
- Communication skills
- Research skills
Our computational skills are transferable and employers recognise the value of the programming knowledge you will have developed to a high level during this course.
Program Curriculum
Course content
This course will equip you with the necessary skills to:
- translate problems from the workplace into contemporary statistical ideas and methodologies
- solve problems using your advanced knowledge in statistical modelling and computational finance
- interpret and communicate your results.
The core modules we offer will give you a strong grounding in statistical data analysis and modelling techniques, as well as much-needed computational skills required by finance-based employers, such as Python and R languages. Additionally, you'll choose an option module and dissertation topic that are aligned with your own interests, resulting in a flexible programme tailored to meet your needs.
Modules Dissertation Modules Core modules Survival Analysis and Generalised Linear Models Statistical Pattern Recognition Time Series Multivariate Data Analysis Computational Finance with Python Option modules You will study one option module. Examples can be found below. Some option module combinations may not be possible. The options available to you will be confirmed after you begin your course. Decision Theory and Bayesian Statistics Mathematical Methods of Finance Mathematical Finance in Discrete Time Our modules may change to reflect the latest academic thinking and expertise of our staff, and in line with Department/School academic planning. Dissertation Statistics and Computational Finance Dissertation Your Masters will culminate in a dissertation on a selected topic in Statistics or Computational Finance. It will be a piece of independent work that you complete over the summer. You will have guidance from a project supervisor with weekly supervision, scheduled at a time to suit you. Our recent students' dissertations have investigated topics including: Feature Selection in Trading Behaviour in Financial Markets - A Big Data Analysis Modelling the UK and USA GDP Data: Estimation and Prediction The day of the week effect in different countries' stock markets
Admission Requirements
Entry requirements
| Qualification | Typical offer |
| Undergraduate degree | 2:2 or equivalent in Mathematics or in a subject with a substantial mathematics component. |
| International pre-masters programme | Pre-masters from our International Pathway College |
| Other international qualifications | Equivalent qualifications from your country |
English language
If English isn't your first language you may need to provide evidence of your English language ability. We accept the following qualifications:
| Qualification | Minimum requirement |
| IELTS (Academic and Indicator) | 6.0, minimum 5.5 in each component |
| Cambridge CEFR | B2 First: 169, with no less than 162 in each component |
| Oxford ELLT | 6, minimum of 5 in each component |
| Oxford Test of English Advanced | 126, minimum 116 in each component |
| Duolingo | 105, minimum 95 in all other components |
| LanguageCert SELT | B2 with 33/50 in each component |
| LanguageCert Academic | 65 with a minimum of 60 in each component |
| Kaplan Test of English Language | 444-477, with 410-443 in all other components |
| Skills for English | B2: Pass with Merit overall, with Pass in each component |
| PTE Academic | 55, minimum 51 in each component |
| TOEFL | 79, minimum 17 in Listening, 18 in Reading, 20 in Speaking and 17 in Writing |
| Trinity ISE III | Pass in all components |
For more information see our postgraduate English language requirements .
If you haven't met our English language requirements You may be eligible for one of our pre-sessional English language courses . These courses will provide you with the level of English needed to meet the conditions of your offer. The length of course you need to take depends on your current English language test scores and how much you need to improve to reach our English language requirements. After you've accepted your offer to study at York, we'll confirm which pre-sessional course you should apply to via You@York .
Tuition & Financial Information
Tuition Fee
GBP 22,000/year (international)
Fees and funding
Annual tuition fees for 2026/27
| Study mode | UK (home) | International and EU |
| Full-time (1 year) | £17,500 | £32,900 |
Fees information
UK (home) or international fees? The level of fee that you will be asked to pay depends on whether you're classed as a UK (home) or international student. Check your fee status .
Find out more information about tuition fees and how to pay them.
- Postgraduate taught fees and expenses
Funding information
Discover your funding options to help with tuition fees and living costs.
Financial Aid & Scholarships
Fees and funding
Annual tuition fees for 2026/27
| Study mode | UK (home) | International and EU |
| Full-time (1 year) | £17,500 | £32,900 |
Fees information
UK (home) or international fees? The level of fee that you will be asked to pay depends on whether you're classed as a UK (home) or international student. Check your fee status .
Find out more information about tuition fees and how to pay them.
- Postgraduate taught fees and expenses
Funding information
Discover your funding options to help with tuition fees and living costs.
About University of York
University of York
Heslington, United Kingdom
University of York is a distinguished institution of higher education committed to academic excellence, innovative research, and preparing students for leadership in their chosen fields. The...
University Profile- Application Deadline 2018-06-15
- Start Date 2018-09-24
- Language English
- Duration 12 months
- Credits 60 ECTS / 180 credits (1-year programme)