ÐÓ°ÉÂÛ̳

The MSc Statistics degree incorporates three separate streams: ,  and .

Each of these streams also incorporates a separate research branch which replaces one unit's worth of optional courses with a compulsory dissertation.

MSc Statistics (Financial Statistics) (Research)

MSc Statistics provides an excellent grounding for employment in the private or public sectors in Statistics, related quantitative fields or for academic research. The proof of the growing need for statistical modelling in many fields is the very strong career opportunities for our MSc graduates. Focusing on statistical methodology and its interface with economics, finance and social science, the MSc has an emphasis on the most successful statistical methods as well as cutting-edge new developments offering hands-on experience in real data analysis using the R Package.

The  (formerly known as MSc Risk and Stochastics) offers in-depth instruction in probabilistic, statistical, and computational methods to quantify risk arising from, but not limited to, economic, financial, and insurance applications. This programme is ÐÓ°ÉÂÛ̳’s timely response to industry’s strong demand in experts with quantitative expertise in risk management, finance, insurance, and their interface.

The provides training in data science methods, with a focus on statistical perspectives. You will receive a thorough grounding in theory, much of it at a high mathematical level, as well as gain practical skills of applied data science, enabling you to apply advanced methods of data science and statistics to investigate real world questions. 

The MSc Health Data Science is a programme designed to equip future health data analysts with the skills they need to interpret, analyse, assess, and evaluate health interventions, services, programmes, and policies. This is a joint programme with the ÐÓ°ÉÂÛ̳’s Department of Health Policy.

ÐÓ°ÉÂÛ̳’s online certificate courses designed by Department of Statistics faculty provide the expert knowledge and skills to enhance your career. Courses take place over 8 weeks and provide the flexibility for professionals looking to upskill for success. 

ÐÓ°ÉÂÛ̳ Data Analysis for Management

ÐÓ°ÉÂÛ̳ Machine Learning