University of Essex
Our applicants should have a 1st, 2.1 or high 2.2 degree, or equivalent. Individual course requirements can vary. If English is not your 1st language, then we require IELTS 6.0 or equivalent.
Core modules: Dissertation; applied statistics; machine learning and data mining; modelling experimental data; text analytics. Optional modules include: Artificial neural networks; Bayesian computational statistics; big-data for computational finance; combinatorial optimisation; high performance computing; natural language engineering; nonlinear programming; professional practice and research methodology; programming in Java; research methods; statistical methods; stochastic processes.
A variety of methods are used to assess learning outcomes, for example presentations, interviews, homework, coursework etc. These are designed to test a range of outcomes, such as subject knowledge, general skills and transferable skills.
|Qualification||Study mode||Start month||Fee||Course duration|
|MSc||Full-time||October 2016||GBP 5,950 per Year 1 (Northern Ireland)||12 months|
|MSc||Full-time||October 2016||GBP 5,950 per Year 1 (Scotland)||12 months|
|MSc||Full-time||October 2016||GBP 5,950 per Year 1 (Wales)||12 months|
|MSc||Full-time||October 2016||GBP 5,950 per Year 1 (England)||12 months|
|MSc||Full-time||October 2016||GBP 14,500 per Year 1 (International)||12 months|
|Campus name||Town||Postcode||Region||Main campus||Campus||Partner|
|Colchester Campus||Colchester||CO4 3SQ||South East|
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