General entry requirements

Minimum requirements

2:1 undergraduate degree (or equivalent) in a STEM subject. Suitable subjects include but are not limited to: IT, Mathematics, Chemistry, Physics, Engineering, Statistics, Biology/Life Sciences.

Candidates with a background in Computer Science or related areas who are interested in an applied approach to AI are also encouraged to apply.

English language requirements

You can find out more about our English language requirementsLink opens in a new window. This course requires the following:

• Band A
• IELTS overall score of 6.5, minimum component scores not below 6.0

International qualifications

We welcome applications from students with other internationally recognised qualifications.

For more information, please visit the international entry requirements pageLink opens in a new window.

Additional requirements

Candidates with professional experience should include their CV with their application.

Core modules

Core modules are required modules that all students will complete whilst on this programme. This course covers a comprehensive range of topics designed to equip students with the essential skills and knowledge needed to excel in the field.

For Applied Artificial Intelligence (AAI), your core modules are:

• Fundamentals of Artificial Intelligence Research, Development, and Management (30 credits)
• Programming for Artificial Intelligence (15 credits)
• Fundamentals of Artificial Intelligence and Data Mining (15 credits)
• Artificial Intelligence and Deep Learning (15 credits)
• Applied Statistics for AI (15 credits)
• Ethical Artificial Intelligence Implementation (15 credits)
• Artificial Intelligence for Industry (15 credits)
• MSc Project (60 credits)

Find out more about this course on the WMG departmental websiteLink opens in a new window.

Teaching

This course has two components – a taught component accounting for two-thirds of your time and effort, and a research component accounting for one-third.

For the taught component, we blend lectures with seminars, syndicate exercises, simulations, and case studies. The majority of modules are taught in small classes to facilitate and encourage interaction. Others practice larger-scale lectures, which are then supported by small class seminars and group activities. Our module leaders have extensive academic and industry experience; guest speakers currently working at the forefront of their fields also contribute regularly to the content and delivery of the course, bringing real-world insight into your learning experience.

In addition to your taught modules, you will undertake a major project as part of your Master's degree. This is nominally 600 hours (60 CATS points) of learning, mainly taking place during the Spring and Summer terms. You will be expected to engage regularly with your Project Supervisor and to provide progress updates and drafts of your work to an agreed schedule.

Class sizes

Overall, this course can accommodate up to 100 students, divided into smaller teaching classes for an enhanced learning experience.

Typical contact hours

Module delivery patterns vary, but most will be delivered in a short learning block of up to 4 weeks, allowing your focus to be on one module at a time. Each module nominally accounts for 150 hours, which includes scheduled classroom time and online sessions as well as your independent study and assessments.

The 30-credit module: ‘Fundamentals of Artificial Intelligence Research, Development, and Management’ spans 7 weeks and includes 10 hours of lectures, 20 hours of seminars, and 15 hours of project supervision. Additionally, students will engage in 135 hours of self-directed study under the guidance of their project supervisor to complete their project plan during this module.

Assessment

The course uses a variety of assessment methods across modules. These may include reports (both topic-based and reflective), individual and group presentations, skills-based assessments in data analysis, programming, implementation of AI and machine learning algorithms to solve challenges, poster presentations, and critical reflections.

Assessments have been designed not only to assess your achievement in meeting the course learning outcomes in an academically sound manner, but also contribute to preparing you with the requisite competencies required for employment.

Reading lists

If you would like to view reading lists for current or previous cohorts of students, most departments have reading lists available through Warwick Library on the Talis Aspire platformLink opens in a new window.

You can search for reading lists by module title, code or convenor. Please see the modules tab of this page or the module catalogueLink opens in a new window.

Please note that some reading lists may have restricted access or be unavailable at certain times of year due to not yet being published. If you cannot access the reading list for a particular module, please check again later or contact the module’s host department.

Your timetable

Core modules will be allocated to students at the end of the first week of term - you will then be able to view your individual module schedule for the rest of the year via the WMG module selection system.

Modules will include scheduled classroom time and online sessions as well as your independent study and assessments, and will usually be delivered within a 4 week timeframe. Occasional classes and study skills sessions may be held at weekends or in the evenings.

As a Master's student, you are expected to manage your own time appropriately. On average, you are expected to commit 38-40 hours of study each week, in order to successfully achieve your Master’s degree.

This is a full-time postgraduate course. Undergraduate term dates do not apply. Whilst there are no holidays as such, there will be no teaching scheduled when the University is officially closed for staff, during the two weeks over Christmas and New Year.

Your career

As a graduate of MSc Applied Artificial Intelligence, you will typically progress into a career with a focus on data analysis, machine learning, AI development, robotics, automation, natural language processing, or ethical AI. You will be well-prepared to work across a breadth of different industries from manufacturing through to healthcare, education, and finance, and within a range of organisations from large multinational corporations to innovative start-ups.

Potential roles include:

• Data Scientist: Analysing and interpreting complex datasets to help organizations make data-driven decisions.
• Machine Learning Engineer: Designing, building, and deploying machine learning models.
• AI Software Developer: Developing software solutions that incorporate AI and machine learning technologies.
• Robotics Engineer: Working on the design and development of robotic systems.
• AI Product Manager: Overseeing the development and deployment of AI products.
• AI Solution Architect: Creating and implementing AI solutions tailored to specific business needs.
• Natural Language Processing (NLP) Specialist: Focusing on the interaction between computers and human languages.
• Ethical AI Specialist: Ensuring that AI technologies are developed and used responsibly.

Helping you find the right career

Our department has a dedicated professionally qualified Senior Careers Consultant offering impartial advice and guidance together with workshops and events throughout the year. Previous examples of workshops and events include:

• Warwick careers fairs throughout the year
• WMG Future Fest
• Options in Engineering sector event
• Careers for Experienced Hires
• Careers in Cyber Security
• Careers in Healthcare
• Careers in Project Management

WMG at Warwick

As one of the largest departments at Warwick, WMG (originally Warwick Manufacturing Group), is a multidisciplinary department delivering a unique combination of world-class education with real business and industry application.

Our industry relevant management and technical education, and highly impactful applied research, have positioned WMG as a leading international role model for successful partnership between academia and industry. Having forged strong links with local, national, and global companies through 45 years of collaborative research and development, we really understand the global market you’ll be operating in and have designed our programmes to match.

Our expansive expertise includes artificial intelligence, automation systems, cyber security, data science, engineering management, design, supply chains, healthcare systems, sustainability, energy applications, materials, manufacturing, and visualisation to name but a few.

Find out more about our full-time Master's coursesLink opens in a new window, find out more about our part-time programmesLink opens in a new window, and learn more about the WMG department.Link opens in a new window

Our courses

• Applied Artificial Intelligence (MSc)
• Cyber Security Engineering (MSc)
• Cyber Security Management (MSc)
• Digital Transformation for Healthcare (MSc)
• e-Business Management (MSc)
• Engineering Business Management (MSc)
• Engineering Design Management (MSc)
• Games Engineering (MSc)
• Healthcare Operational Management (MSc)
• Innovation and Entrepreneurship (MSc)
• International Trade, Strategy and Operations (MSc)
• Management for Business Excellence (MSc)
• Programme and Project Management (MSc)
• Smart, Connected and Autonomous Vehicles (MSc)
• Supply Chain and Logistics Management (MSc)
• Sustainable Automotive Electrification (MSc)

Our part-time courses for working professionals

• Engineering Business Leadership (MSc)

Our Postgraduate Research degrees

• Engineering (MPhil/PhD)
• Engineering Doctorate (EngD)
• MSc by Research (WMG) (MSc)

Visiting WMG

There are a number of different ways to visit the University of Warwick throughout the year. We host bespoke PG visits, where you can talk directly with your chosen department and explore our campus through a personalised tour. WMG also organises events and information sessions for prospective students including 1-1 bookable appointments, departmental open days, and independent visits so you can connect directly with the departmentLink opens in a new window and speak with staff and students from WMG. For more about university wide open days and tours, visit our Postgraduate Visits page.

Tuition fees

Tuition fees are payable for each year of your course at the start of the academic year, or at the start of your course, if later. Academic fees cover the cost of tuition, examinations and registration and some student amenities.

Find your course fees  

Fee Status Guidance

We carry out an initial fee status assessment based on the information you provide in your application. Students will be classified as Home or Overseas fee status. Your fee status determines tuition fees, and what financial support and scholarships may be available. If you receive an offer, your fee status will be clearly stated alongside the tuition fee information.

Do you need your fee classification to be reviewed?

If you believe that your fee status has been classified incorrectly, you can complete a fee status assessment questionnaire. Please follow the instructions in your offer information and provide the documents needed to reassess your status.

Find out more about how universities assess fee status

Additional course costs

As well as tuition fees and living expenses, some courses may require you to cover the cost of field trips or costs associated with travel abroad.

For departmental specific costs, please see the Modules tab on the course web page for the list of core and optional core modules with hyperlinks to our Module Catalogue (please visit the Department’s website if the Module Catalogue hyperlinks are not provided).

Associated costs can be found on the Study tab for each module listed in the Module Catalogue (please note most of the module content applies to 2022/23 year of study). Information about module department specific costs should be considered in conjunction with the more general costs below:

• Core text books
• Printer credits *
• Dissertation binding *
• Robe hire for your degree ceremony

* - Dissertations and Assignments are only submitted digitally. However students may wish to print and bind their dissertation for their own purposes. Students on some courses will have a final poster presentation as part of their project and the printing of posters will be at the students’ expense.

Scholarships and bursaries

How to apply

The application process for courses that start in September and October 2025 will open on 2 October 2024.

Applications will close on 2 August 2025 for students who require a visa to study in the UK, to allow time to receive a CAS and complete the visa application process.

How to apply for a full-time postgraduate taught course in WMG  

Please note, places are often limited, so we recommend that you submit your application as early as possible. Please check our department webpages for more specific information.