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Statistics and Computational Finance logo
University of York logo

Statistics and Computational Finance

University of York
Tuition GBP 22,000 (Tuition (Year)) — International students; GBP 12,170 (Tuition (Year)) — National students
Degree MSc
Duration 12 months
Deadline 2015-06-18
Delivery On-campus
Location Heslington, United Kingdom
Language English

Program Overview

The Statistics and Computational Finance at University of York is a MSc programme in Business & Management over 12 months, delivered On-campus. This programme equips graduates with advanced knowledge and practical skills for professional and academic careers in the field.

Students gain a rigorous grounding in both the theoretical foundations and applied dimensions of business & management. The programme combines coursework, research components, and practical projects that develop critical thinking, problem-solving, and specialist expertise relevant to industry and research needs.

Graduates of the Statistics and Computational Finance programme are well-prepared for careers in academia, industry, government, and the private sector across United Kingdom and internationally. The programme provides an internationally recognised qualification within the Bologna higher education framework.

Key Program Features

  1. Duration: 12 months
  2. Language of instruction: English
  3. Study mode: On-campus
  4. Tuition: GBP 22,000 (Tuition (Year)) — International students; GBP 12,170 (Tuition (Year)) — National students
  5. Location: York, United Kingdom

Career Opportunities

Graduates of the Statistics and Computational Finance programme are prepared for diverse careers in business & management:

  1. Business Analyst
  2. Management Consultant
  3. Product Manager
  4. Strategy Analyst
  5. Operations Manager
  6. Entrepreneur

Program Curriculum

Course Structure

  1. Advanced Regression Analysis
  2. Portfolio Theory and Risk Management
  3. Computational Finance
  4. Mathematical Methods of Finance
  5. Stochastic Processes
  6. Statistical Modelling with Practical Data Analysis in R
  7. C++ Programming with Applications in Finance
  8. Stochastic Processes
  9. Bayesian Statistics
  10. Statistical Modelling and Practical Data Analysis with R

Admission Requirements

Academic Requirements

A second class honours degree, or equivalent, with a significant mathematical component. Substantial prior knowledge of statistics is desirable but not essential. Applicants who have other qualifications or have studied overseas are welcome. For those students, self-study materials on the foundation of statistics will be distributed in week 1.

Each applicant will be assessed individually to ensure that his/her academic and/or professional background is appropriate. Documented professional track record in statistics or quantitative finance will be considered alongside academic record.

Tuition & Financial Information

Tuition Fee

GBP 22,000 (Tuition (Year)) — International students; GBP 12,170 (Tuition (Year)) — National students

Tuition fees: GBP 22,000 (Tuition (Year)) — International students; GBP 12,170 (Tuition (Year)) — National students

Financial Aid & Scholarships

Contact University of York directly for scholarship, grant, and financial aid information for this programme. Many European universities offer merit-based and need-based funding for international and domestic students.

About University of York

University of York logo

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 2015-06-18
  • Start Date 2018-09-24
  • Language English
  • Duration 12 months