MSc Applied Artificial Intelligence

Master's Programme
Applied Artificial Intelligence

Enhance your career prospects with our MSc Applied Artificial Intelligence programme at Warwick Manufacturing Group. This postgraduate qualification offers a unique learning experience that combines theoretical knowledge with practical skills that employers are seeking in today's competitive job market.

How to apply Download our brochure

Start date:
28 September 2026

Duration:
12 months, full time

Award:
Master of Science (MSc)

Application deadline:
31 August 2026

Highlights and benefits

Join a programme that explores cutting-edge developments in machine learning, deep learning and reinforcement learning at one of the UK's leading Russell Group universities.
Benefit from our applied, industry-focused learning approach that provides real-world insight alongside academically challenging studies.
Study a curriculum developed in collaboration with industrial partners and WMG's research community, drawing on our extensive computing resources, research expertise and industry connections across multiple sectors including healthcare, automotive, robotics, and business intelligence.

Overview

The MSc in AI-Driven Manufacturing Systems is a cutting-edge programme designed to prepare graduates to lead the transformation of modern manufacturing through artificial intelligence, data analytics, and advanced digital technologies. Globally, manufacturing industries are embracing technological advancements, prioritising sustainability, and developing a skilled workforce critical for future growth. Digital manufacturing technologies are evolving at an unprecedented pace, and the drive toward smart factories and interconnected systems is accelerating their adoption.

This programme equips students with the skills to optimise production processes, enhance quality, reduce waste, streamline supply chain, and enable predictive maintenance across complex manufacturing systems. The interdisciplinary curriculum combines manufacturing, computing, and data analytics, giving students a comprehensive understanding of system design, process and material selection, simulation, and optimisation. Through individual and group projects, case studies, and hands-on learning, students apply theory to real-world industrial challenges.

Graduates are prepared for careers in industrial digitalisation, intelligent systems engineering, robotic automation, and AI-driven operations across sectors such as aerospace, automotive, digital design, and general manufacturing management. By integrating AI, data science, and manufacturing expertise, this programme ensures students are ready to meet the evolving demands of Industry 4.0 and the global manufacturing landscape.

The course aligns with active research within WMG to educate students with the emerging digital skills required for future manufacturing industries driven by advanced technologies like AI, automation, robotics and the Internet of things (IoT).

Reasons to study AI-driven Manufacturing Systems at Warwick

Skills development and practical experience: Combines AI, data science, and digital manufacturing to develop skills for Industry 4.0.
Interdisciplinary learning environment: Integrates manufacturing, computing, and analytics to prepare students for complex problem-solving.
Industry relevance: Equip yourself for careers in industrial digitalisation, intelligent systems, robotic automation, and AI-driven operations.
Academic excellence: Study within WMG's interdisciplinary department where technology, computer science, and business intelligence converge.
Established reputation: Join a department with 1500 full-time MSc students across 18 programmes, supported by 34 research groups driving over 40% of all research at the University of Warwick. Warwick Manufacturing Group (WMG) has an established legacy of education and research in manufacturing.
Career advancement: Acquire the expertise and problem-solving capabilities that are in high demand, with skills that remain relevant as the field evolves.

What you'll learn

The programme comprises 120 credits of taught modules and a 60-credit dissertation project.

Core modules

Fundamentals of Artificial Intelligence Research, Development, and ManagementLink opens in a new window (30 credits)
Programming for Artificial IntelligenceLink opens in a new window (15 credits)
Fundamentals of Artificial Intelligence and Data MiningLink opens in a new window (15 credits)
Artificial Intelligence and Deep LearningLink opens in a new window (15 credits)
Applied Statistics for Artificial IntelligenceLink opens in a new window (15 credits)
Ethical Artificial Intelligence ImplementationLink opens in a new window (15 credits)
Artificial Intelligence for IndustryLink opens in a new window (15 credits)

Project

In addition to the taught modules, you will complete a dissertation project which is worth a third of your final Master's grade (60 credits). This substantial individual project is designed to strengthen your academic and research skills, while allowing you to explore a specific area of artificial intelligence that reflects your interests and career goals. The project will be presented as a written dissertation, submitted at the end of the academic year.

You are expected to devote an appropriate portion of your time and intellectual effort to the project during the course i.e. approximately 600 hours over the course of the academic year.

Important module notes

'Core' refers to requisite modules. Pass requirements will be provided in the handbook at enrolment. Any changes will be confirmed to offer holders through Material Information provided at the point of offer.

The module catalogue links above show the latest approved version of each module and what is currently being taught (academic year 2025). There may be minor updates to content or learning objectives year on year, to reflect the evolving state of knowledge and the requirements of teaching best practice. Any such amendments will be made through the department’s module approvals process and updated in the catalogue before the start of the 2026 academic year.

How you'll learn

Learning style and assessment

This course has two components – a taught component accounting for two-thirds of your time and effort, and a research component (dissertation) 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 projects. Our module leaders have extensive academic and industry experience; industry experts 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.

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 activities as well as your independent study and assessments.

The 30-credit module: 'Fundamentals of Artificial Intelligence Research, Development, and Management' spans 7 weeks.

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 MSc Applied Artificial Intelligence qualification.

Assessment

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

Assessments have been designed not only to evaluate your academic achievement but also to help you develop the practical skills needed to design and implement AI solutions in professional settings.

Entry requirements

In order to meet our academic entry requirement, you should have obtained the minimum of a UK 2:1 undergraduate degree (or equivalentLink opens in a new window) in a relevant technical subject. The course is suitable for STEM graduates, including but 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 strongly encouraged to apply.

English language

If you are a non-native English speaker, we need to confirm that your English language competency is sufficiently good for you to get the most out of your Master's study. We therefore require you to take a SELT (Secure English Language Test) and submit your results as one of your academic requirements. Whilst we encourage you to take your English test as early as possible, you can upload your results later in the application cycle. You do not need to delay your application until you've taken an English test.

If you are taking an IELTS test, we require a score of 6.5 (with no less than 6.0 in any one component). Please view our web page here for a full list of accepted tests, together with the grades required.

How to apply

Application is through the University’s online form. The course code for MSc Applied Artificial Intelligence is P-H60X

You will need to select Department: WMG and tick Type of course: 'Postgraduate Taught' to bring up the full list of WMG courses available for application.

What you will need to provide

A completed application form and £75 application fee.
A Personal Statement which can be included in the online application.
A scan of your transcript (marksheet). If you are still studying, please send us your transcripts to date. NB: if you are made an offer, we will then require you to upload your degree transcripts and certificate in order to clear your conditions.
English language test result (if applicable) - this can be submitted after you have an offer.
One reference. If you completed studies less than 2 years ago, this should be an academic reference. If you graduated more than 2 years ago, we will require a professional reference. We contact your referee directly, so please include their valid professional email address on your application form.
Candidates with professional experience should include their CV with their application.

You can read more about the application process, and access a link to the application form, on our how to apply web page.

Application deadline

For 2026 entry, our official application deadline is 31 August 2026, however please note that this course will close early if capacity is reached ahead of that deadline. We strongly recommend you apply as soon as you are ready in order to avoid disappointment.

Fees and funding

Tuition fees

For 2026 entry, the tuition fees are as follows:

Home students: £13,040
Overseas students: £37,460

If you are successful in receiving an offer, a deposit payment is required in order to secure your place on the course. Please note that sponsored students can apply for a deposit waiver. For further information, please see our tuition fee deposits pageLink opens in a new windowLink opens in a new windoLink opens in a new windowLink opens in a new windLink opens in a new window

Your remaining tuition fee is then payable at the start of the academic year, or in three instalments. For information about how to pay your tuition fees, please review the University's finance web pagesLink opens in a new windowLink opens in a new windowLink opens in a new windowLink opens in a new windowLink opens in a new window.

WMG Excellence Scholarships

At WMG, we invest more than £1 million per year into supporting our talented students and creating a diverse and inspiring learning environment.
Our funding opportunities range from the competitive merit-based WMG Excellence Scholarship open to all offer-holders, through to guaranteed bursaries for specific countries and partnership awards with third-party funders.

WMG Excellence Scholarships are merit-based awards, available on a competitive basis. Awards range from £5,000, £10,000 to £15,000 tuition fee discount.

Applications will be judged on past academic achievement, professional experience, reasons for study, and your vision for the future. View our WMG Excellence Scholarship pageLink opens in a new windowLink opens in a new windoLink opens in a new windowLink opens in a new windowLink opens in a new window for full details on how to apply for this award.

Additional scholarship opportunities

You might also be eligible to apply for other scholarships from the University of Warwick, such as the Warwick Taught Masters Scholarship Scheme; as well as awards from external funding bodies, including Chevening Scholarships. For additional funding opportunities and eligibility details, please visit the University Funding web pageLink opens in a new window.

Careers

Employability and career prospects

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 including finance, healthcare, education, sports science, pharmaceutical, through to manufacturing, automotive and many more. AI is driving innovation across all professional sectors so the opportunities for graduates of this programme are limitless.

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.

WMG: a department embedded in industry

You'll be studying in an environment surrounded by professionals from a range of industries and sectors; including hearing directly from industry experts and guest speakers in many of our modules.

Throughout the year, we also host activities and events that will help you to understand potential career pathways including; seminars; external speakers; industrial visits; alumni talks and more. We encourage our students to make the most of the opportunities available to learn about career options for the future.

Warwick Careers Service

The University of Warwick's Careers ServiceLink opens in a new window offers specific careers support to WMG students, through a dedicated Careers Advisor. The service provides practical workshops and 1-1 appointments for our students covering many aspects of career choice and development, including: how to build a strong CV and write job applications; effective career planning and guidance; and how to enhance your interview and networking skills.

Additionally, each year, employers have a presence on campus, with careers fairs, presentations and guest lectures happening on a regular basis; meaning you'll have lots of exposure to potential employers.

There are also various events run throughout the year to develop your skillset and teach you how to market this to employers. Individual workshops are hosted on a variety of topics, such as networking and time management. Or for those interested in a more complete programme, you can partake in awards such as WMG Skills+ to develop your core employability skills, or the Intercultural Training Programme to strengthen your intercultural awareness. In addition, there is a wealth of online material available to help strengthen your industrial knowledge and build on employability skills, such as the WMG Virtual Careers Programme. Find out more about the support available to you by visiting our Careers and Employability page.

Alumni

We hope that your relationship with WMG and the University of Warwick will continue long after your graduate. The university and the department both have vast alumni networks and, upon graduation, you'll be a member of this ever-growing community of professionals working in countries around the world. You'll have access to our alumni support; events; e-mentoring scheme; amongst many other opportunities.

You can read about more about the careers and experiences of our alumni on our alumni profiles web pages.Link opens in a new window

Meet the Course Director: Dr Leonardo Alves Dias

Leonardo is Assistant Professor in Computing at WMG, University of Warwick. He has significant teaching and research expertise in the areas of Digital and Embedded Systems, Artificial Intelligence and Machine Learning, Reconfigurable Computing (FPGA), Robotics, Automation and Internet of Things.

View the Course Director's Profile

Scholarships and Bursaries

WMG will be awarding over £1 million in scholarships and bursaries to students commencing study on any of our full-time MSc programmes beginning in September 2026.

Explore funding opportunities

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Ready to study at WMG?

We look forward to receiving your MSc application. If you have any questions, please don’t hesitate to get in touch.

How to apply Connect with us

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About the information on this page

This information was correct at the date of publication. However, teaching staff (or their availability) and departmental facilities do sometimes vary, or become unavailable, for reasons beyond the University’s control. Where this happens, the University will ensure the minimum of disruption and will ensure that the expected standard of education is maintained. Please read our important informationLink opens in a new window to consider before making an application to find out more.

Master's ProgrammeApplied Artificial Intelligence