100% Online MSc Computer Science with Artificial Intelligence
- Flexible payment : Pay per module
- Next start date : Start immediately
- Fee per 15-credit module : £650
- Total Credits : 180
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| 365 start dates per year Get started straight away |
Self-paced study Start and stop your study as needed |
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Build a cutting-edge career developing computer systems that think and act like humans to solve real-world problems
Once better known in sci-fi movies and books, artificial intelligence now underpins many of our daily activities and interactions. Cultivate the theoretical knowledge and practical skills needed to specialise in this area of ever-growing demand in business and industry with our 100% online MSc Computer Science with Artificial Intelligence programme.
Developed for graduates looking to develop digital careers, but without the academic background to do so, this master’s programme offers a broad postgraduate computer science education combined with the specialist skills and knowledge needed to succeed in this exciting field.
We are an employability-focussed institution with teaching and learning supported by deep commercial and organisational connections, and more than 120 years’ experience delivering science and technology education.
Your course content will be 100% online and part-time, so you can work and maintain life commitments while you learn. You can also get started when you’re ready, right after admission, with no formal start date for this programme.
What you’ll learn
You will develop a broad knowledge of computer science, including the skills, engineering, and science sides of the discipline. Learn essential skills, as well as some theory that allows you to apply your skills effectively.
Develop important skills in artificial intelligence as well as your ability to solve computational problems via coding and other appropriate means. You will be introduced to the development of software and learn skills in software engineering, as well as develop an appreciation of the computer systems on which software solutions are implemented. You will also be given the opportunity to gain skills in programming, software engineering, data analytics and cyber security.
Students also undertake a selection of optional modules as electives to complete their coursework.
On successful completion, you will be able to:
- Formulate computing and programming problems of varying types
- Match problems to the tools, techniques and approaches most suitable to solving them
- Understand and practically apply skills in the major programming languages and paradigms
- Understand and practically apply skills in computer systems, artificial intelligence, cybersecurity and data analytics
- Plan how to approach machine learning algorithms
Who our MSc Computer Science with Artificial Intelligence is suited to
This master’s degree will suit graduates and mid-career professionals looking to upskill into a digital career, who don’t have the academic background to do so. The programme of study is particularly designed for those with an interest in combining a broad computer science foundation with specialist AI skills. It’s 100% online, part-time nature is well-suited to busy professionals who need to fit their studies in alongside work and other commitments.
Potential career paths for MSc Computer Science with Artificial Intelligence graduates
This computer science degree programme provides the highly sought-after skills and knowledge needed for real-world careers in artificial intelligence. Some of the roles you will be equipped to work in include:
- Data Analyst
- Data Engineer
- Machine Learning Engineer
- Robotics Engineer
- Deep Learning Engineer
Entry requirements for home and international students
To study the MSc Computer Science with Artificial Intelligence you will need a:
- Lower second-class (honours) undergraduate degree, or equivalent, in a subject area other than Computer Science (or similar)
OR
- Master’s degree, or equivalent, in a subject area other than Computer Science (or similar)
OR
- Third-class honours degree or an ordinary degree (without honours), or equivalent, in a subject area other than Computer Science (or similar) with a minimum of two years’ appropriate work experience.
Some students may also be exempt from some programme modules, depending on previous study and work experience, subject to City’s Assessment Regulations.
English language requirements
You may also need to demonstrate your capability to study in English. Two common methods and the levels required are:
- IELTS Academic: 6.0 (minimum of 6.0 in all four components)
- TOEFL IBT: 80 (with 20 in each component)
- IELTS/TOEFL tests need to have been taken in the last two years.
We also accept GCSE English language grade 4 (C) or evidence from an accepted English language test.
Note: You will not be required to prove your English language capability, if you're a national of a majority English-speaking country, or have completed a university degree (or equivalent) in one.
Entry Requirements
- Entry requirements for home and international students
To study the MSc Computer Science you will need a:
Lower second-class (Hons) undergraduate degree, or equivalent, in a subject area other than Computer Science (or similar).
OR
Master’s degree, or equivalent, in a subject area other than Computer Science (or similar) .
OR
Third-class honours degree or an ordinary degree (without honours), or equivalent, in a subject area other than Computer Science (or similar) with a minimum of two years’ appropriate work experience.
Some students may also be exempt from some programme modules, depending on previous study and work experience, subject to City’s Assessment Regulations.
- English language requirements
You may also need to demonstrate your capability to study in English. Two common methods and the levels required are:
IELTS Academic: 6.0 (minimum of 6.0 in all four components).
TOEFL IBT: 80 (with 20 in each component).
IELTS/TOEFL tests need to have been taken in the last two years.
We also accept GCSE English language grade 4 (C) or evidence from an accepted English language test.
Note: You will not be required to prove your English language capability, if you're a national of a majority English-speaking country, or have completed a university degree (or equivalent) in one.
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.
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.
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.
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.
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.
Gain an insight into the concept of cloud computing. Develop your knowledge of the different technologies used to build cloud systems and how these are used to offer computing on-demand to applications. You will also learn about how to build cloud applications using some of the common technologies.
Extend your knowledge from the Artificial Intelligence module to include the principles of Machine Learning (ML) and the practical problems that are amenable to ML solutions. You will consider and compare different learning approaches that are commonly used.
Challenge yourself with a thorough investigation into a topic of your choice and by undertaking a substantive piece of independent work. This is your opportunity to apply what you have learned within the programme overall. Projects could include: the development of a substantial software artifact, developing a deeper understanding of an area of the programme, or research project another area of interest. Use this project to demonstrate the depth of your skills and knowledge.
Electives
Learn both the theoretical and practical knowledge and skills involved in Human Computer Interaction (HCI). This module provides the essential knowledge for understanding users of interactive systems and helps you to design usable systems applying a user-centred design approach. The design and evaluation techniques delivered are widely applied in industry.
Learn about the key concepts of the software engineering process in a practical context. This module introduces the broad spectrum of issues relating to software system design. Build upon the concepts of object-oriented programming by studying another programming language often used in large scale enterprises. Further your ability to generate object-oriented programmes and build applications using common software engineering principles.
OR
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.
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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