- Flexible payment : Pay per module
- Next start date : Start immediately
- Fee per 15-credit module : £650
- Total credits : 60
Why CITY ST GEORGE'S
| Study with a University of London member who is: | |
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Top 40 in the UK and top 10 in London |
World Top 350 among the best universities |
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12th most competitive university in the UK |
5th best in London and 17th in UK for |
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Programme Modules
This foundation module underpins the complete MSc Computer Science programme and is designed for students who are inexperienced in computer programming. Explore procedural computer programming, data-structures, and algorithms, and learn how to solve problems using computer programmes.
Building upon the programming knowledge and skills developed in Programming and Algorithms, this module introduces the concept of object-orientation and enables you to explore object-oriented programming via an object-oriented programming language. You will learn how to develop algorithms, and to solve problems using computer programs.
Electives
Become familiar with the key concepts of data analytics and big data. Learn about the sources of data, data mining, and what can be achieved by analysing that data, within a business, and other contexts. Alongside data analytics, you will learn about data visualisation techniques and tools.
Develop your knowledge in the principles of Artificial Intelligence (AI) and the problems that are appropriate for AI solutions. Consider how knowledge can be represented, and how that knowledge can be manipulated and searched. You will also learn about artificial neural networks, which can learn from patterns in known data sets to perform tasks on unseen data.
OR
Develop your knowledge of the theoretical and practical aspects of web technologies. Learn how to create web applications and about a wide range of technologies to develop an understanding of the web landscape with an emphasis on client-side technologies.
As an introduction to databases, you will learn to understand, explore, and build relational databases – the most common form in practice. You will also gain knowledge of non-relational databases, including the principal differences and use-cases compared to relational databases.
As an introduction to databases, you will learn to understand, explore, and build relational databases – the most common form in practice. You will also gain knowledge of non-relational databases, including the principal differences and use-cases compared to relational databases.
Gain an understanding of the principles of computer systems and networking as you explore computer architectures, operating systems, and networks. Learn the purpose of an operating system, and how it supports resource sharing and concurrency. The module also teaches you how to qualitatively and quantitively assess issues that affect performance of computer systems and programmes running on them.
OR
Develop your knowledge in the principles of Artificial Intelligence (AI) and the problems that are appropriate for AI solutions. Consider how knowledge can be represented, and how that knowledge can be manipulated and searched. You will also learn about artificial neural networks, which can learn from patterns in known data sets to perform tasks on unseen data.
The internet connects systems to systems and customers to systems. It can also connect criminals to systems, allowing them to steal or misuse valuable information. Learn about cyber security and the variety of techniques used to protect information systems against cybercrimes.
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