Artificial Intelligence MSc
Subject and course type
- Computing and Information Systems
- Engineering, Electronics and Robotics
- Postgraduate
Prepare for working with intelligent systems with a range of optional modules which cover various specialisms within the Artificial Intelligence (AI) arena. Meaning you will graduate with the skills you need to innovate and thrive in a modern and rapidly evolving work environment.
You are reading:
Define your place in the rapidly evolving artificial intelligence landscape
Embrace the career opportunities emerging in the expanding artificial intelligence field
At our Penrhyn Road campus, you will have access to a modern environment with the latest equipment, including:
- dedicated postgraduate computing laboratories, fully-equipped with fold-flat LCD screens, data-projection systems and high-spec processors
- industry-standard development software and tools, such as Python, Scikit, Learn and Tensorflow
- the learning resources centre, offering subject libraries, online database subscriptions and resource materials
Our dedicated team of IT technicians support our labs and are always on-hand to provide assistance.
Plus, Kingston is just a 30-minute train journey from central London, where you can access a wealth of additional libraries and archives. These include the British Library and the Institute of Engineering and Technology.
Why choose this course
Artificial Intelligence is a rapidly evolving field that is presenting a wealth of employment opportunities. Put yourself at the centre of a graduate-hungry market with our Artificial Intelligence MSc.
Throughout this course, you will gain a strong foundation in AI technologies and their application in the real world. You’ll learn how to engage with and advance intelligence systems.
The modules on this course are designed to align with the growing market opportunities in various areas. These include big data, data mining, machine learning, deep learning and their direct application in Computer Vision, Natural Language Processing, and Cyber Security.
As a result, you will gain the skills you need to work with a variety of cutting-edge technologies that are in demand, both in industry and in the public sector.
Plus, you can tailor your degree to your interests, with optional modules in specialist areas of AI. You will then be able to choose an area of interest to study in depth, through your project dissertation. Your final project can provide valuable industry experience. However, it can also highlight the unique position you want to play in the expansion of AI technologies and make your CV stand out to employers on graduation.
Course content
Artificial Intelligence MSc offers a comprehensive range of modules that cover cutting-edge algorithms, tools, and techniques in the field of AI. These modules are designed to align with the growing market opportunities in various areas, including big data, data mining, machine learning, deep learning and their direct application in Computer Vision, Natural Language Processing, and Cyber Security.
Modules are structured in a way that follows the typical roadmap of an AI project, ensuring a systematic approach to learning. Elective modules allow you to specialise and focus on specific areas of interest.
Work placement scheme
Many postgraduate courses at Kingston University enable students to take the option of a 12-month work placement as part of their course. Although the University supports students in finding a placement and organises events to meet potential employers, the responsibility for finding the work placement is with the student; we cannot guarantee the placement, just the opportunity to undertake it. You may find securing a professional placement difficult as they are highly competitive and challenging, but they are also incredibly rewarding. It is very important to prepare and apply yourself if this is the route you wish to take. Employers look for great written and oral communication skills and an excellent CV/portfolio. As the work placement is an assessed part of the course, it is covered by a student's Student Route visa.
Find out more about the postgraduate work placement scheme.
Year 1
Core modules
30 credits
This module emphasises a practical and applied approach to programming and software skills for data scientists which differs from typical software engineering approaches in that the emphasis is on the use and manipulation of data using languages and platforms designed for use in real-life, data-driven problems. The languages and platforms are considered only as far as their use for data manipulation are needed with limited exploration of underlying theory or data structures. This prioritises practical implementation including locating, accessing, loading, manipulating, securing, storing and describing data, and enables the introduction of aspects of data analysis, data-mining and machine learning provided by the chosen languages and platforms.
15 credits
This module is designed to equip you with the knowledge and know-how necessary to harness the potential within larger datasets. It explores the characteristics of extremely large and complex datasets, unravelling their potential for uncovering patterns, trends, and correlations through the application of advanced data mining methods, and their utility for discovery of patterns, trends and correlations using data mining methods.
You are first introduced to the diverse sources of big data and the crucial aspects of data quality and trustworthiness. This is then followed by an examination of Big Data technologies tailored to handle unique characteristics specific to various domains.
By adopting a holistic approach that combines theoretical foundations with practical applications, you will emerge equipped to confidently navigate the multifaceted landscape of big data analytics while remaining mindful of social, legal, and ethical frameworks.
15 credits
This module explores regulation and ethical issues that Artificial Intelligence (AI) raises. It considers AI in the context of its use. Current regulation will be explored along with examples of its application in different contexts. Ethical theory will be introduced and discussed using examples of protocols put in place in areas where regulation is lacking.
30 credits
This module introduces fundamental concepts and methods in Classical Machine Learning and Pattern Recognition as well as Neural Networks and Deep Learning. You will firstly be introduced to classical methods, before being taught modern approaches. You will then be exposed to applications related to your course. The module is taught in a practical fashion and therefore some knowledge of a programming language is required.
60 credits
This module constitutes the major individual piece of work of the masters programme where you will carry out a project involving independent critical research, design and implementation (where applicable).
Optional modules (choose 2)
15 credits
This comprehensive module provides you with a deep insight into the principles and applications of computer vision. The module begins with an exploration of image processing fundamentals and algorithmic basics, gradually progressing to advanced topics such as generative and discriminative elements through various techniques and models used for tasks like image classification, object detection and 3D vision.
Throughout the module, you will engage in hands-on projects, applying their knowledge to real-world scenarios. The emphasis on cutting-edge techniques includes convolutional neural networks, adversarial machine learning, transfer learning, and addressing emerging trends in object detection and image segmentation.
By the module's conclusion, you will possess a versatile skill set, well-equipped to tackle challenges in diverse fields such as healthcare and robotics.
15 credits
This module explores the intersection of artificial intelligence (AI) and cybersecurity, focusing on the application of cybersecurity principles to mitigate threats and vulnerabilities in AI-powered systems. You will gain an understanding of the unique challenges posed by AI in cybersecurity contexts and develop strategies for effectively defending against cyber threats while considering ethical, security, and privacy implications.
15 credits
This module aims to provide you with a grounding in the various aspects of, and approaches to, Natural Language Processing (NLP) by computers, and the essential principles thereof, plus familiarise you with some technologically important applications of NLP.
Professional placement
Professional placement
120 credits
The Professional Placement module is a core module if you're following a masters programme that incorporates an extended professional placement. It provides you with the opportunity to apply your knowledge and skills in an appropriate working environment, and develops and enhances key employability and subject specific skills in your chosen discipline. You may wish to use the placement experience as a platform for a major project or your future career.
It is your responsibility to find and secure a suitable placement opportunity; this should not normally involve more than two placements which must be completed over a minimum period of 10 months and within a maximum of 12 months. The placement must be approved by your Course Leader prior to commencement to ensure its suitability. You will have access to the standard placement preparation activities offered by the Student Engagement and Enhancement (SEE) group.
Read more about the postgraduate work placement scheme.
Career opportunities
After you graduate, you will be well equipped to work in a variety of industries that are rapidly adopting automation and robotics technology. For example, manufacturing, healthcare, logistics, and transportation. You will also be able to contribute to cutting-edge research in the field of robotics.
Work placement scheme
This course, like many postgraduate courses at Kingston University, enables students to integrate a 12-month work placement into their course. You are responsible for finding and securing your own professional placement, which can be highly competitive but also incredibly rewarding. It is very important to prepare yourself if this is the route you wish to take. Employers look for great written and oral communication skills and an excellent CV/portfolio. As the work placement is an assessed part of the course, it is covered by a Student Route visa.
We work with a variety of employers such as hospitals, community health care, NHS foundation trusts, academic publishers, and pharmaceutical companies. Many of which also offer professional experience opportunities for the students on this course.
Teaching and assessment
- Year 1: Coursework 90%; exams 10%
Please note: the above breakdowns are a guide calculated on core modules only. If your course includes optional modules, this breakdown may change to reflect the modules chosen.
We expect you to study independently as part of the course. You will have access to course materials, campus facilities, resources and academic support to guide you. On average, you should expect to spend around 20-30 hours per week on independent study in addition to scheduled teaching.
Independent study will involve reading articles and books, working on projects, doing research, completing your work for assessments. You might need to do some independent study on campus, where you can access campus-based facilities such as studios and labs.
- Year 1: 192 hours of scheduled learning and teaching; 1,308 hours of guided independent study
Undertaking a postgraduate course is an inherently challenging pursuit. However, all Kingston University courses are designed with a manageable, rewarding workload.
How do modules and credits work?
This course is structured around a credit-based module system. Each module is worth a certain number of credits, and completing a set number of credits is required to achieve your degree—typically 180 for a postgraduate degree.
Each credit is equivalent to 10 hours of study. For example, 180 credits across a year (typical for a postgraduate course), translates to 1,800 notional hours. These hours are divided into scheduled and guided study.
Will my workload change?
Your exact workload might vary slightly depending on which modules you choose. As a result, each year will look slightly different based on your scheduled learning and teaching time.
The proportion of independent learning increases at postgraduate level, when you’ll have more experience of the subject. You should feel confident enough to direct your own study.
Course delivery
We will deliver most of your course in person, but some aspects might be online. The online portion will consist of both live sessions and recordings.
Timetables
You can usually access your timetable 48 hours after you enrol. Learning and teaching can take place Monday–Friday between 9am and 6pm.
If you are a part-time student, your timetable will depend on the modules that you select.
When you arrive at university, we'll introduce you to your personal tutor.
What is a personal tutor?
A personal tutor is a dedicated member of academic staff who will support you throughout your time at Kingston.
How will they help me?
Your personal tutor will be on hand to discuss issues and developments you experience during your course. They’ll offer academic guidance on studying, student life and career progression. Your personal tutor will also help you to navigate course challenges, set goals, and make the best use of university resources. They’ll support you academically and provide guidance on how to achieve your best.
When can I speak to my personal tutor?
Your tutor will be available for regular meetings throughout your degree. You can get in touch with them at any time to ask questions and arrange a check-in.
Support services at Kingston University
Kingston University offers a wide range of support services for students with different personal circumstances. Our support team can help with disability and mental health support. They also host services for care leavers, young adult carers and more. Academic support is a core focus, but all Kingston students have access to additional resources for overall well-being.
Check our Student Support page to find out more about the full range of support on offer at Kingston University.
Fees and funding
| Fee category | Fee |
|---|---|
| Home (UK students) | |
| Full Time | £11,400 |
| Part Time | £6,270 |
| International | |
| Full Time | £19,300 |
| Part Time | £10,615 |
| Fee category | Fee |
|---|---|
| Home (UK students) | |
| Full Time | £10,900 |
| Part Time | £5,995 |
| International | |
| Full Time | £18,500 |
| Part Time | £10,175 |
Funding support for postgraduate students
If you are a UK student living in England and under 60, you can apply for a loan to study for a postgraduate degree on the government's website.
Scholarships and bursaries
For students interested in studying Artificial Intelligence MSc at Kingston, there are several opportunities to seek funding support:
The Inspire the Future Scholarship offers a 40% reduction in fees for taught masters or postgraduate diploma courses with September start dates. 20 scholarships are available for progressing Kingston University graduates.
For more information on how to apply for this scholarship, visit the Inspire the Future Scholarship page.
International postgraduate students could receive up to £5,000 towards tuition in their first year of study.
For more information on how to apply for these scholarships, visit the International Scholarship page.
If you are a Kingston University 2024/25 undergraduate progressing to a 2025/26 postgraduate degree (taught or research), you could get a 15% reduction in tuition fees.
For more information on how to apply for this scholarship, visit the Postgraduate Progression Scholarship page.
Kingston University offers a 10% discount on full and part-time postgraduate degree course tuition fees to our alumni.
For more information on how to apply for this discount, visit our alumni discount page.
Additional course costs
Some courses may require additional costs beyond tuition fees. When planning your studies, you’ll want to consider tuition fees, living costs, and any extra costs that might relate to your area of study.
Your tuition fees include costs for teaching, assessment and university facilities. So your access to libraries, shared IT resources and various student support services are all covered. Accommodation and general living expenses are not covered by these fees.
Where applicable, additional expenses for your course may include:
Our libraries have an extensive collection of books and journals, as well as open-access computers and laptops available to rent. However, you may want to buy your own computer or personal copies of key textbooks. Textbooks may range from £50 to £250 per year. And a personal computer can range from £100 to £3,000 depending on your course requirements.
While most coursework is submitted online, some modules may require printed copies. You may want to allocate up to £100 per year for hard-copies of your coursework. It’s worth noting that 3D printing is never compulsory. So if you choose to use our 3D printers, you’ll need to pay for the material. This ranges from 3p per gram to 40p per gram.
Kingston University will pay for all compulsory field trips. Fees for optional trips can range from £30 to £350 per trip.
Your tuition fees don’t cover travel costs. To save on travel costs, you can use our free intersite bus service. This route links the campuses and halls of residence with local train stations - Surbiton, Kingston upon Thames, and Norbiton.
If you choose to do a placement year, travel costs will vary depending on your location. These costs could be up to £2,000.
How to apply
Before you apply
Please read the entry criteria carefully to make sure you meet all requirements before applying.
How to apply online
Use the course selector drop down at the top of this page to choose your preferred course, start date and mode, then click 'Apply now'. You will be taken to our Online Student Information System (OSIS) where you will complete your application.
If you’re starting a new application, you’ll need to select ‘new user’ and set up a username and password. This will allow you to save and return to your application.
Application deadlines
We encourage you to apply as soon as possible. Applications will close when the course is full.
Information required to confirm your place
If English is not your first language, we will require proof of your proficiency to allow us to confirm your place on the course. This will generally be either an IELTS or TOEFL test certificate, which can be forwarded to us after you have submitted your application. If you do not hold a formal English language qualification, please indicate how you have acquired your proficiency in written and spoken English.
After you have applied
If the postgraduate admissions tutor requires further information or wishes to invite you to further assessment by interview they will contact you directly. You will then hear whether your application has been successful.
If you do not clearly meet the standard entry requirements and the admission tutor wishes to see a portfolio from you, you will be sent an email asking you to upload your portfolio to your Kingston University OSIS account. Further details on how to do this will be provided at the time.
Course changes and regulations
The information on this page reflects the currently intended course structure and module details. To improve your student experience and the quality of your degree, we may review and change the material information of this course. Find out more about course changes
Programme Specifications for the course are published ahead of each academic year.
Regulations governing this course can be found on our website.
