Course summary
In today’s rapidly evolving technological landscape, Artificial Intelligence (AI) is transforming industries and creating new opportunities. Competence in AI and machine learning is essential for driving innovation and efficiency. The MSc in Applied Artificial Intelligence is designed to provide a strong blend of theoretical knowledge and practical skills, preparing you for a successful career in this dynamic field. Course Overview Our MSc in Applied Artificial Intelligence is an advanced programme which combines essential concepts in AI and ML with practical learning through labs, workshops and industry specific applications. The course will equip you with the techniques and skills necessary to excel in AI-driven industries; you will gain a solid foundation in the principles, theories, and practices of Artificial Intelligence, including machine learning, deep learning, data mining, natural language processing, computer vision, reinforcement learning, automation, and robotics. Through the use of case studies and industry projects, you will also gain significant hands-on experience with AI tools and technologies, ensuring you’re equipped to design, evaluate, and implement AI and ML solutions for real-world problems. The programme emphasises practical applications, ethical considerations, and the societal impact of AI technologies. This information is applicable for 2025 entry. Given the interval between the publication of courses and enrolment, some of the information may change. It is important to check our website before you apply.
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.
- Fundamentals of Artificial Intelligence Research, Development, and Management
- Programming for Artificial Intelligence
- Fundamentals of Artificial Intelligence and Data Mining
- Artificial Intelligence and Deep Learning
- Applied Statistics for AI (
- Ethical Artificial Intelligence Implementation
Assessment method
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.
Entry requirements
In order to meet our academic entry requirement, you should have obtained the minimum of a UK 2:1 undergraduate degree (or equivalent) 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.
Fees and funding
Tuition fees
No fee information has been provided for this course
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
Additional costs/fee information
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.
General costs to be considered:
- Core text books
- Printer credits
- Dissertation binding
As well as tuition fees and course costs, students should budget for:
- Accommodation
- Food
- Clothes and leisure
- Robe hire for your degree ceremony
Sponsorship information
We offer a variety of postgraduate funding options for study at the University of Warwick, from postgraduate loans, university scholarships, fee awards, to academic department bursaries. It's important that you apply for your postgraduate course first before you apply for a University of Warwick scholarship. Please visit the University's scholarship webpages. WMG Departmental Scholarships: WMG invest more than £1million 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 (offering between 10--50% tuition fee discount), through to guaranteed bursaries for specific countries (including UK) and partnership awards with third-party funders. Find out more about the WMG Scholarship opportunities on our webpage: https://warwick.ac.uk/fac/sci/wmg/study/masters-degrees/how-to-apply/scholarships/
Provider information
University of Warwick
Coventry
CV4 7AL