|Study location||United Kingdom, Liverpool|
|Type||Master courses, full-time|
|Nominal duration||1 years|
|Tuition fee||£16,850 per year|
Undergraduate diploma (or higher)
You will need a 2:1 Honours degree (or above) in a subject area closely related to Computer Science, Economics, or the intersection of these two subject areas.
The entry qualification documents are accepted in the following languages: English.
Often you can get a suitable transcript from your school. If this is not the case, you will need official translations along with verified copies of the original.
IELTS: 6.5 (with a minimum of 5.5 in each component) or equivalent
At least 2 reference(s) should be provided.
(on letter headed paper, signed and dated)
Two references (on letter headed paper, signed and dated)
This programme is intended for you if you already have a first degree in Computer Science, or in Economics, or a closely related subject.
The programme is suitable for you if you wish to extend your knowledge with more advanced specialised material reflecting current research at the cutting edge of the discipline of Algorithmic Game Theory, which lies at the intersection of economics and computer science.
It is a novel and unique programme, the first of its kind in Europe, offering a range of modern topics that range from optimisation and computational game theory to network games, and modern applications in electronic commerce, such as Google sponsored search auctions.
The programme is organised as two taught semesters followed by an individual project undertaken over the summer. During each semester MSc students study a number of modules adding up to 60 credits per semester (120 in total). This will be followed by a dissertation, also 60 credits, making an overall total of 180 credits.
See the list of modules here
Here are some of the fields/jobs in which our MSc graduates of this programme can work:
Enterprise Risk Consultant
Network Optimisation Engineer
IT Impl. Support Analyst
Customer Service Adviser
Sales & Marketing
Search Engine Optimisation (SEO)