Course Overview

Methods of teaching and learning used in the course include a mix of lectures, tutorials, problem classes, computer practicals, homework problems (including electronic assessment), written and oral presentations, and individual projects. A variety of modes of assessment will be used and are likely to include written examinations, computer-based examinations, project reports, presentations of project work. Much of the teaching in mathematics and statistics consists of 50-minute lectures (12 per week on average) in which lecturers will explain concepts, derive results, state and prove theorems, and work through analytical and computational examples, developing motivation, understanding, and technique. The best way to consolidate and fully internalize this knowledge is to use it. In the first two years, lectures are supplemented by tutorials, informal small classes (about 12 in the first year and 16 in the second year) in which students work through problems and ask questions. You will have at least three per week during each of the first two years. Many of the statistics modules across all three years also include computer practicals, in which students learn how to implement computational methods and how to analyze real data. Homework problems and exercises are set in lectures, and your marked solutions may form the topic of discussion in a tutorial or problem class. You will be encouraged to work with other students, and to make use of the University's library and computing resources.

General Eligibility

A level offer €“ A*A*A-A*AA.

Part Time Work Details

Language Requirement

• IELTS: 6.5 (no component under 6.0)_x000D_ _x000D_ TOEFL iBT (internet-based test) and TOEFL iBT Home Edition: 92 (no component under 23)