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Theoretical Computer Science with a Year in Industry

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Master of Science

A Master of Science (MSc) is a master’s degree awarded for a postgraduate programme in the sciences.

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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

Accreditation

Please note that this course is pending accreditation by BCS, The Chartered Institute for IT.

Course content

Discover what you'll learn, what you'll study, and how you'll be taught and assessed.

Year one

Compulsory modules

Introduction to Computational Game Theory (COMP323)

Credits: 15 / Semester: semester 1

This module is an introduction to the area of algorithmic game theory, which is a novel area in the intersection of economics and computer science. It provides tools for dealing with and analysing problems related to applications motivated by the Internet. Examples involve various Internet auctions and e-commerce systems, like, Google’s sponsored search, Ebay auctions, recommendation systems, etc.

Optimisation (COMP557)

Credits: 15 / Semester: semester 1

This module is an in-depth tour over optimisation methods applied for various optimisation models. These methods are extensively used in both academic and industrial practices.

Research Methods in Computer Science (COMP516)

Credits: 15 / Semester: semester 1

In this module the students will learn and practise all the necessary skills needed to conduct independent research in computer science, including literature search, project management, presentation techniques, peer reviewing, writing skills and critical review of texts. They will also learn about the professional, legal, social and ethical framework of the IT industry. The module covers, e.g., planning and scheduling projects and drawing Gantt charts. Students shall also conduct a research project (including research, paper, literature review, or MSc project proposal, …) and use tools like EndNote and Zotero bibliography manager within MS Word and Latex.

Algorithmic Game Theory (COMP559)

Credits: 15 / Semester: semester 2

This module focuses on algorithmic aspects of game theory.  A main focus of this module is on the computational aspects in the design of mechanisms and auctions.  as part of the module, the students learn about Googles sponsored serarch auctions, which is one of the most successful targeted advertising systems today.

Optional modules

Efficient Algorithms (COMP526)

Credits: 15 / Semester: semester 1

Masters module on practical algorithms and data structures for large datasets.

Knowledge Representation (COMP521)

Credits: 15 / Semester: semester 1

The module introduces formalisms to reason about knowledge and information. One such formalism is epistemic logic, where one can explicitly represent of what an agent (robot, human, system) knows about the world or about others, as in "I have sent a message, how do I know that it has been received, and that the receiver knows I know this?"

Microeconomic Analysis (ECON915)

Credits: 15 / Semester: semester 1

This module aims to provide an understanding of the essentials of microeconomic theory. This includes understanding what is meant by rational choice and how it can be used to predict what choices agents will make in different contexts. Students will also understand how markets work and what causes markets to fail.

Advanced Algorithmic Techniques (COMP523)

Credits: 15 / Semester: semester 2

This module aims to teach basic algorithmic methods for design and analysis of algorithms.

Advances in Theoretical Computer Science (COMP555)

Credits: 15 / Semester: semester 2

This module equips students to work at the cutting edge of research in a selected topic in theoretical computer science. Students work with primary research literature to summarize and contextualize results in an area of their choice. They will further practice to present and explain research-level results in theoretical computer science to computer scientists outside of the specific subfield.

Computational Intelligence (COMP575)

Credits: 15 / Semester: semester 2

​Biologically inspired optimisation and introduction to neural networks for artificial intelligence.

Data Mining and Visualisation (COMP527)

Credits: 15 / Semester: semester 2

The module covers a range of topics and techniques for analyzing data. Students will learn about different types of data mining problems, including classification, clustering, association pattern mining, and social network analysis, as well as algorithms to solve them.

Students will program selected data mining algorithms from scratch using Python. This hands-on approach will allow them to gain a deeper understanding of how the algorithms work and how they can be applied to real-world datasets. They will experiment with different datasets to see how the algorithms perform and learn how to interpret the results.

Multi-Agent Systems (COMP310)

Credits: 15 / Semester: semester 2

Multi-agent systems have emerged as one of the most important areas of research and development in information technology in the 1990s. A multi-agent system is one composed of multiple interacting software components known as agents, which are typically capable of co-operating to solve problems that are beyond the abilities of any individual member. Multi-agent systems are important primarily because they have been found to have very wide applicability, in areas as diverse as industrial process control and electronic commerce. This module will begin by introducing the student to the notion of an agent, and will lead them to an understanding of what an agent is, how they can be constructed, and how agents can be made to co-operate effectively with one another to solve problems.

Safety and Dependability (COMP524)

Credits: 15 / Semester: semester 2

Safety and Dependability will cover techniques for the validation of systems against formal specifications. In a first part, safety specifications (something bad never happens) using the Hoare calculus and safe abstraction are covered. A second part refers to termination (something good eventually happens), exploiting well foundedness. In a third part, Markov chains and decision processes are studied, extending the qualitative safety and termination problems from the first part to qualitative/probabilistic properties, and extending them to a simple probabilistic specification language, PCTL. As part of the module, the ability of formulating (probabilistic) models as Markov chains and decision processes are taught, as well as the use of of-the-shelf tools like PRISM or IscasMC for their analysis.

MSc Group Project (COMP530)

Credits: 15 / Semester: semester 2

This module is designed to allow students to consolidate work from the first semester by working as a programming team to realise a solution to a problem related to their programme of study.

Cloud Computing for E-Commerce (COMP315)

Credits: 15 / Semester: semester 2

This module will provide an introduction to cloud computing. It will cover physical cloud infrastructure (data-centres, networks and servers), and the software stacks that run on it (containers, micro-services, orchestration and web frameworks).
During the course, students will assemble their own cloud-based application, which will be a webpage with a scalable micro-service-based backend.

Any optional modules listed above are illustrative only and may vary from year to year. Modules may be subject to minimum student numbers being achieved and staff availability. This means that the availability of specific optional modules cannot be guaranteed.

Our curriculum

The Liverpool Curriculum framework sets out our distinctive approach to education. Our teaching staff support our students to develop academic knowledge, skills, and understanding alongside our graduate attributes:

  • Digital fluency
  • Confidence
  • Global citizenship

Our curriculum is characterised by the three Liverpool Hallmarks:

  • Research-connected teaching
  • Active learning
  • Authentic assessment

All this is underpinned by our core value of inclusivity and commitment to providing a curriculum that is accessible to all students.

Course options

Studying with us means you can tailor your degree to suit you. Here's what is available on this course.

Year in industry

If you are interested in studying this programme without the year in industry placement, it is available as a standard MSc. Completing this programme without the year in industry usually takes one year when completing full-time.

View Theoretical Computer Science MSc

To spend a year in industry, you'll need to secure a placement with an organisation. If you're unable to find a placement, you'll continue with the standard version of the course without a year in industry.

Your experience

The Department of Computer Science is housed in a grade II listed building which has been extensively refurbished for 21st century needs and challenges and provides state-of-the art equipment and high-speed communication links.

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Supporting your learning

From arrival to alumni, we’re with you all the way:

An exciting place to study Computer Science

  • You will be taught by some of the best researchers in the field. In the most recent Research Excellence Framework, the research output of our department was ranked 5th in the UK. This research expertise shows through in our teaching
  • We teach in state-of-the-art PC and Mac laboratories running a variety of different operating systems, as well as iOS and Android tablets to encourage creativity and innovation within a stimulating environment in which to work and study
  • Our programmes are continually updated to reflect new technologies and trends.

Careers and employability

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.

Career planning

Three career coaches standing outside the Careers Studio

Our campus Career Studio is a space for students and graduates to drop into and talk to a career coach. Career coaches are highly trained to help no matter what stage you are at in your career planning. You can access support to find and apply for full-time and part-time roles, placements, internships and graduate schemes. You will also find the help you need if you have a start-up idea or want to create a business plan. You can explore the world of work, prepare for job interviews, and access careers events and workshops. The Career Studio is open Monday to Friday from 10am-5pm, simply drop in at a time that works for you.

From education to employment

Two graduates in postgraduate robes.

We develop our programmes with employers in mind. You will be supported to enhance your long-term employment prospects as you learn. We do this by exposing you to professionals, a variety of sectors and supporting you to work collaboratively with others to develop transferable skills. You are equipped with a clearer view of what to focus on in your area of interest, and to reflect on your studies. Our digital employability tools give you a tech-enhanced curriculum experience and make it easy for you to prepare for the world of work. You can use tools like the Handshake platform to connect with employers and message the Career Studio 24/7.

Networking events

Postgraduate students hold a discussion while sat round a table in in the Liverpool Guild of Students.

You can start building good professional networks by attending events and employability activities. Our events are designed to develop your skills and expose you to many different employers, as well as to help you make contacts in your field. We help you improve your confidence when speaking to employers and give you access to unique opportunities. Our networking events also boost your understanding of the competencies and skills that employers are looking for in their recruitment process, giving you a competitive edge.

Your future

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.

Many of our graduates also choose to continue their studies and embark on PhD research.

87% of Computer Science students find their main activity after graduation meaningful.

Graduate Outcomes, 2018-19.

Fees and funding

Your tuition fees, funding your studies, and other costs to consider.

Tuition fees

UK fees (applies to Channel Islands, Isle of Man and Republic of Ireland)
Full-time place, per year £13,300
Year in industry fee £2,700
International fees
Full-time place, per year £30,800
Year in industry fee £6,200
Fees stated are for the 2025-26 academic year.

Tuition fees cover the cost of your teaching and assessment, operating facilities such as libraries, IT equipment, and access to academic and personal support.

If you're a UK national, or have settled status in the UK, you may be eligible to apply for a Postgraduate Loan worth up to £12,167 to help with course fees and living costs. Learn more about fees and funding.

Additional costs

We understand that budgeting for your time at university is important, and we want to make sure you understand any course-related costs that are not covered by your tuition fee. This could include buying a laptop, books, or stationery.

Find out more about the additional study costs that may apply to this course.

Additional study costs

We understand that budgeting for your time at university is important, and we want to make sure you understand any course-related costs that are not covered by your tuition fee. This could include buying a laptop, books, or stationery.

Find out more about additional study costs.

Scholarships and bursaries

We offer a range of scholarships and bursaries that could help pay your tuition and living expenses.

We've set the country or region your qualifications are from as United Kingdom. Change it here