📚About the Program
• If you didn’t study computer science at degree level, this MSc combines a wide-ranging introduction to the analysis, design and implementation of computer systems, with a comprehensive understanding of cutting-edge research. You'll be immersed in software design, programming, datasets, information systems and web applications and develop all the skills needed to conduct independent research in computer science.
INTRODUCTION
- • This MSc provides a depth of knowledge in computer science, underpinned by a thorough understanding of key issues at the forefront of current research in this discipline.
- • You’ll learn how to design and create software, gain experience of modern programming languages, and discover how databases are used in modern information systems, from supermarket checkouts to online banking.
- • We’ll also equip you with a good understanding of the most significant technologies for developing web applications. These include HTML, cascading style sheets, computer-generated imagery (CGI) programming, and PHP/SQL programming.
- • Further opportunities to specialise and enhance your knowledge are available through a range of optional modules. You could choose to focus on topics including artificial intelligence, biologically inspired optimisation, neural networks, data mining, machine learning, multi-agent systems, e-commerce, online map visualisations, or software safety and dependability.
- • You’ll have the opportunity to work as part of a small group on a practical project to find a solution to a computer science problem. We’ll also provide a thorough grounding in how to plan and conduct research in preparation for your dissertation.
WHO IS THIS COURSE FOR?
• This MSc is suitable for graduates with a science or engineering background, such as a degree in mathematics or physical sciences, who wish to build upon the IT skills and knowledge gained during undergraduate study. The programme is not suitable for computer science graduates.
WHAT YOU'LL LEARN
- Research skills in computer science
- How to design and create software using a modern programming language
- The role of structured query language, SQL, in information systems
- Algorithmic techniques and data structures for large datasets
- Key technologies for developing web applications
- Data mining techniques and challenges using real-world datasets
- Bio-inspired algorithms for optimisation and machine learning
- Applications of multi-agent systems
- Privacy, security, encryption and other technologies behind e-commerce
- An understanding of all aspects of software safety and dependability
- Neural networks for artificial intelligence
- How maps can be visualised online
