menu icon
Coronavirus (COVID-19) Latest news
Statistics with Financial Mathematics MSc

Statistics with Financial Mathematics MSc

Different course options

Full time | University of Sheffield | 1 year | SEP

Study mode

Full time

Duration

1 year

Start date

SEP

Key information
DATA SOURCE : IDP Connect

Qualification type

MSc - Master of Science

Subject areas

Statistics Mathematics For Specific Applications

Course type

Taught

Course Summary

Course description

Accredited by the Royal Statistical Society

The course is about applying probabilistic, statistical and mathematical techniques in the finance industry. Graduates with skills in these areas are in demand. It’s based on the MSc Statistics with additional training in the concepts, models and tools of modern mathematical finance.

Teaching

There are lectures, tutorials and computing sessions. You’ll do group work, presentations and role play. Most statistics lectures are recorded so you can watch them again later.

The distance learning option is taught online with support via email and an online forum. Distance learners also come to the University for residential weeks.

Assessment

You’re assessed by exams, project work and a dissertation.

Modules

Inference - Core
Linear Models - Core
Machine Learning and Time Series - Core
Professional Skills for Statisticians - Core
Financial Mathematics - Core
Stochastic Processes and Finance - Core
Statistical Laboratory - Core

Tuition fees

UK fees
Course fees for UK / EU students

For this course (per year)

£10,500

Average for all Postgrad courses (per year)

£5,202

International fees
Course fees for non-UK / EU students

For this course (per year)

£21,100

Average for all Postgrad courses (per year)

£12,227

Entry requirements

We usually ask for a 2:1 honours degree in mathematics, or equivalent, which must include a significant proportion of modern theorem and proof-based mathematics. A strong performance in a module based on rigorous mathematical analysis is essential. Your degree must also include a substantial component in statistics and probability theory.