the United Kingdom
University of Sheffield| The award | How you will study | Study duration | Course start | Domestic course fees | International course fees |
|---|---|---|---|---|---|
| Graduate Certificate | Part-time | 9 months | September | - | - |
Develop your background knowledge of mathematics, probability and statistical theory, with the opportunity to progress onto our MSc Statistics course.
Our Statistics Graduate Certificate is designed for graduates who don't have all the background knowledge for a masters degree in statistics. Students who perform well can progress on to our MSc Statistics course.
Statistical skills open all kinds of doors. Through our Statistics Graduate Certificate you'll start to build the foundational knowledge needed to pursue roles spanning finance and consultancy, healthcare, data science, public administration and research.
Through this nine-month part-time distance learning course, you'll be introduced to the first-year undergraduate mathematical concepts and methods needed for a masters in statistics, such as linear algebra, multiple integration and differentiation, and the theory of quadratic forms.
You'll also explore relevant first and second-year probability and statistical theory. You'll learn basic concepts of statistical inference and rational decision making under uncertainty, how they can be applied practically, and how to implement methodology using appropriate software. In addition to this, you'll develop your understanding of probability theory and distribution theory.
Progression
An average final mark of approximately 65 per cent on the Graduate Certificate, with at least 60 per cent in each of the three core modules, will usually allow you to progress onto our MSc Statistics course, provided you meet the University's English language requirements.
Below are some suggested courses at other providers that you may also be interested in:
Preparatory Courses in English for Degree Studies (Medical, Business, Architecture and Engineering, Psychology, English and American Studies) UG:Foundation, UG:Foundation, UG:Foundation
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