Theoretical Computer Science University of Liverpool

Overview

The Theoretical Computer Science programme from University of Liverpool  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.

Key features

• You’ll receive a comprehensive introduction to computational game theory and focus on algorithmic aspects of game theory in depth. 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.
• 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.

Career prospects

• This MSc equips you with an in-depth understanding of theoretical computer science. There is particular focus on computational game theory, a subject at the intersection of computer science and economics, which has seen a rapid growth in recent years. There is a significant skills shortage in this area and high demand for skilled professionals.
• Whether you’re a recent graduate seeking a career in the IT industry, plan to continue your studies and pursue a research degree, or you’re already an IT professional in related employment, this programme will enhance your knowledge and immerse you in current developments.
• We’ll prepare you for senior technical and managerial positions in the profession, as well as providing a strong foundation for potential PhD research.

Previous graduates have progressed into a variety of roles which include:

• IT consultant
• Enterprise risk consultant
• Network optimisation engineer
• Data analyst
• Information analyst
• Business analyst
• IT implementation and support analyst
• Customer service adviser
• Software developer
• Software engineer
• Sales and marketing
• Search engine optimisation (SEO) specialist.