Course overview
Explore the world of computational game theory, where computer science and economics collide, and receive a grounding in algorithmic techniques and optimisation methods and models on this MSc. You can specialise in areas including microeconomics, e-commerce and data mining prior to an extended industrial placement in a real-world environment.
Introduction
This MSc immerses you in theoretical computer science, with a particular focus on computational game theory, where computer science and economics intersect. This is an area of rapid growth where skilled professionals are in high demand.
In year one, you’ll receive a comprehensive introduction to computational game theory, focus on algorithmic aspects of game theory in depth, and be guided in how to plan and conduct research in computer science. Exploring the computational aspects of the design of mechanisms and auctions, you’ll also examine optimisation methods and their application to various optimisation models.
Optional modules include opportunities to work with large datasets, specialise in the design and analysis of algorithms, discover the essentials of microeconomic theory, or investigate e-commerce technologies.
In year two, you’ll undertake an industrial project, that’s research or application oriented, in a real-world environment as part of an extended placement opportunity.
This will enable you to demonstrate project management skills and complete a dissertation while also gaining experience in an industrial work environment. While on placement, you’ll develop a range of skills and knowledge and benefit from insights into the operations, products, working practices and management culture of the placement provider.
Who is this course for?
This programme is aimed principally at graduates who either plan to become high-profile professionals working in the IT industry or those who plan to continue to a research degree in this cutting-edge research area. This programme may also be appropriate for those professionals who are already in IT-related employment and wish to broaden and deepen their knowledge.
What you'll learn
An understanding of the notion of a game, its solutions, concepts and applications
Algorithmic aspects of game theory
How computational game theory, computer science and economics intersect
Contemporary application of algorithmic paradigms
How to model continuous and discrete optimisation problems
Key research methods in computer science
How to design and analyse advanced discrete algorithms
Essentials of microeconomic theory
An understanding of all aspects of software safety and dependability
Research issues in data mining
Privacy, security, encryption and other technologies behind e-commerce
*El precio que se muestra es una referencia, por favor verificar con la institución
12 July 2024
Fecha de inicio
23 Septiembre 2024
University of Liverpool
The Foundation Building,
765 Brownlow Hill,
Liverpool,
L69 7ZX, England
Puede haber diferentes requisitos de IELTS en función del curso elegido.
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