Taught course

International Master's in Statistics with Finance

Institution
University of Kent · School of Mathematics, Statistics and Actuarial Science
Qualifications
MSc

Entry requirements

A good first degree (or the equivalent) in an appropriate quantitative subject.

Months of entry

September

Course content

This programme, accredited by the Royal Statistical Society (RSS), equips aspiring professional statisticians with the skills they will need for posts in industry, government, research and teaching. It is suitable preparation too for careers in other fields requiring a strong statistical background.

Students whose mathematical and statistical background is insufficient for direct entry on to the appropriate programme, may apply for this course. The first year of the programme gives you a strong background in statistics, including its mathematical aspects, equivalent to the Graduate Diploma in Statistics. This is followed by the MSc in Statistics with Finance.

Course structure

Linear algebra, analysis, regression and probability and inference are core topics for the first year of this two-year programme, which also includes a dissertation module. In the second year, stochastic models and processes, Bayesian statistics and the analysis of large data sets are among the range of topics explored.

Information for international students

For detailed information see our English language requirements web pages. http://www.kent.ac.uk/ems/eng-lang-reqs/index.html Please note that if you are required to meet an English language condition, we offer a number of pre-sessional courses in English for Academic Purposes through Kent International Pathways. See http://www.kent.ac.uk/international-pathways/

Fees and funding

Please visit our funding web pages for the most current opportunities and application details.

Qualification and course duration

MSc

full time
24 months

Course contact details

Name
School of Mathematics, Statistics and Acturial Science
Email
smsaspgadmin@kent.ac.uk
Phone
+44 (0)1227 824133