Course summary
You will be introduced to the main principles in statistics. The masters will also provide you with specialised training in probability models. Many of our graduates work in roles across business and finance. Others secure jobs in pharmaceuticals and healthcare or operations research, logistics and government. Core modules will provide you with an overall understanding of statistical and probability techniques. They will help you to develop your understanding of the topics covered in the remaining optional modules. During the summer you'll apply the theory and techniques you have learnt by working on a research-based dissertation. Throughout the project you will benefit from supervision provided by experts within the School of Mathematical Sciences. On graduation, you will leave Nottingham with valuable skills in:
- logical thinking
- problem-solving
- data analysis and manipulation
Modules
You will study compulsory modules to teach you the foundations of statistics and probability. We will spend time discussing epidemic models and queuing models. All students will also have a range of optional modules to choose from. These cover topics in computational statistics, time series and forecasting. You will gain practical experience of using a statistical package and learn how to interpret the output. You could develop your understanding about contemporary statistical machine learning methods and how they are used to tackle real-world challenges. Optional modules allow you to study areas of statistics and probability that you are personally interested in. During the second semester, you will complete an in-depth research project. You will be supported by our experts and academic staff as well as our specialist research groups.
Assessment method
Students will typically be assessed by either an examination or coursework, or a combination of the two. Any examination would take place at the end of the teaching period for the module. Over the summer period towards the end of the course, students will undertake a dissertation of 15,000-25,000 words.
Entry requirements
A high 2.2 (or international equivalent) in mathematics or a closely related subject with substantial mathematical content. English language requirements: IELTS 6.0 (no less than 5.5 in any element).
Fees and funding
Tuition fees
No fee information has been provided for this course
Additional fee information
For fee information, see www.nottingham.ac.uk/fees
Provider information
University of Nottingham
University Park
Nottingham
NG7 2RD
Course contact details
Visit our course pagePostgraduate admissions
+44 (0) 115 951 5559