Statistics and Computer Science

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The University of Essex is one of the UK's leading academic institutions, ranked ninth nationally for research excellence following the most recent Research Assessment Exercise (RAE).

Our MSc Statistics and Computer Science is suitable if you are a mathematically-trained graduate wishing to develop expertise in aspects of computer science. You gain experience in various aspects of advanced statistics and in the use of Matlab in mathematical research, while our optional modules include up-to-date techniques in machine learning, evolutionary computation and panel data methods. (If you have no experience of programming in Java, you are required to take our double module Programming with Java).

Key employability skills of data analysis, mathematical modelling and problem solving, as well as independent work, presentation and writing skills, mean our graduates are sought by employers in the pharmaceuticals industry, medical and clinical research, banking, investment and forecasting, gaming, weather science, local government and other fields.

A Masters course is an academically rigorous programme during which you explore your subject in depth, reaching a high level of specialist knowledge. You draw on knowledge and skills from your undergraduate study or your professional life to produce work of a high academic standard, informed by current thinking and debate.
A Masters course lasts for twelve months (full-time), starting in October, and consists of taught modules during your autumn and spring terms, and normally a research-based dissertation or other project-based work submitted in September. Your balance of modules and research varies according to the subject but, typically, your research counts for 60 credits and there are 120 credits of modules, varying from 10 to 40 credits each. (If you are from the EU, then our Masters courses are regarded as second-cycle qualifications under the Bologna Declaration and consist of 90 ECTS credits).
In some subjects, Postgraduate or Graduate Certificates and Diplomas are available, which last for six to nine months (full-time) and consist of 60 or 120 credits, respectively. These include the modules and assessed work of a Masters, without a dissertation. Our Graduate Diplomas equip those with a Bachelors with knowledge to proceed to a Masters in a different subject.
Please note that module information on our course finder provides a guide to course content and may be subject to review on an annual basis.

Modules
Core modules
* Dissertation
* Research Methods

Compulsory with options modules
* Applied Statistics
* Bayesian Computational Statistics
* Modelling Experimental Data
* Statistical Methods
* Stochastic Processes

Optional modules
* Applications Of Data Analysis
* Cloud Technologies And Systems
* Combinatorial Optimisation
* Evolutionary Computation And Genetic Programming
* Game Theory And Applications
* High Performance Computing
* Machine Learning And Data Mining
* Mathematical Research Techniques Using Matlab
* Natural Language Engineering
* Panel Data Methods
* Programming In Java
* Text Analytics

Core modules must be taken and passed.
Core with options modules selected from limited lists must be taken and passed.
Compulsory modules must be taken.
Compulsory with options modules selected from limited lists must be taken.
Optional modules are selected from course specific lists.

Upper second class honours degree, or equivalent, in relevant subject area.IELTS 6.0. English Language Requirements IELTS band: 6 IMPORTANT NOTE: Since April 2014 the ETS tests (including TOEFL and TOEIC) are no longer accepted for Tier 4 visa applications to the United Kingdom. The university might still accept these tests to admit you to the university, but if you require a Tier 4 visa to enter the UK and begin your degree programme, these tests will not be sufficient to obtain your Visa. The IELTS test is most widely accepted by universities and is also accepted for Tier 4 visas to the UK- learn more.

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