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| Application Deadline: | as early as possible | ||
| Annual Tuition Fee: | ≈ € 5,560 - ≈ € 15,305 (non-EEA) | ||
| Location: | York / United Kingdom / View location on map ▾ Hide location on map ▴ | ||
| Duration: | 12 months | Start Date: | October |
| Educational Form: |
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| Education Variants: |
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| Credits (ECTS): | 60 | ||
| Languages: | English | ||
This one-year taught MSc is designed to address this fundamentally important issue and to equip graduates with the mathematics needed to work in demanding positions. The teaching involves a combination of lectures, practical computing classes and research projects. We welcome applications from graduates with a good background in mathematics at the first-degree level who wish to develop their skill set in this exciting field.
The last ten years have seen mathematics play an ever increasingly important role in this very "real world" problem. Nowhere is this more evident then in the study of systems exhibiting "highly irregular" behaviour.
* Analysis of Internet Package Transfer
* Manufacturing Process Control
* Fluctuations in the Human Heart Beat
* Global Weather Patterns
All of the above systems have complicated behaviour and the mathematical ideas necessary for analysis of such systems are often very deep. Thus graduates who have a firm understanding of these notions are very much in demand in the commercial world.
Career Opportunities
Students on the course will develop skills which are much needed in the working environment.
The course is split into three terms: Autumn, Spring and Summer.
The Autumn term is based in the Mathematics Department and consists of the following taught modules and practical classes:
* Dynamical Systems and Applications (10 credits)
* Statistics & Probability (10 credits)
* C++ Programming for MMA (10 credits)
* Applied Partial Differential Equations (10 credits)
* Transferable & Generic Skills (10 credits)
The Spring term is once again based in the Department of Mathematics. The courses expand upon the topics of the first term including more advanced theory and techniques. The taught modules and practical classes are:
* Numerical Methods of Partial Differential Equations (10 credits)
* Stochastic Processes (10 credits)
* Fractals & Chaos (10 credits)
In addition, you take 20 credits of optional M-level or H-level modules chosen from those offered to undergraduate and masters level students. You may choose 10 credits per term or 20 credits in the Spring Term.
The module descriptions have been approved by the Board of Studies, and it is the Board's expectation that the advertised syllabus for each module will be covered. However, the module descriptions do not constitute a legal contract.
The Summer term is devoted entirely to the work towards the MSc dissertation, which may happen in the Department of Mathematics or in placement. By placement we mean a project supervised outside the Department of Mathematics within the University of York, or a project supervised by someone from one of our industrial partners.
You are normally required to take an English Proficiency Test.
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Applications are invited from graduates with a good honours degree, at least a 2.ii or equivalent, in any subject with a sufficient level of mathematics and/or statistics. As well as mathematics graduates, applicants from the sciences and engineering (e.g., Physics, Chemistry, Computing, Engineering, Biology) are strongly encouraged to apply.
English Language Requirements
The University's absolute minimum English language requirements are:
* IELTS: 6.0 (in the 'Academic' test)
* TOEFL: paper-based 550/ computer-based (CBT): 213/ internet-based (iBT): 79
* Cambridge Certificate of Proficiency in English: A, B, C
* Cambridge Certificate in Advanced English: A
| Minimal degree required: | Bachelor's degree |
| Minimal amount of work experience | Not specified |
| IELTS Band: | 6.0 |
| Cambridge English: Advanced (CAE): | Grade A (Score: 80) |
| TOEFL Paper-based: | 550 |
| TOEFL Computer-based: | 213 |
| TOEFL Internet-based: | 79 |
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