Program start date | Application deadline |
2025-09-01 | - |
2026-09-01 | - |
Program Overview
Applied Artificial Intelligence MSc
Overview
The Applied Artificial Intelligence MSc will equip you with essential techniques and practical skills, preparing you to tackle real-world challenges and contribute to the growing field of Artificial Intelligence.
Course Structure
Core Modules
- Foundations of Artificial Intelligence
- Applied AI and Industrial Decision Support Systems
- Deep Learning and Neural Networks
- Machine Learning in Practice
- MSc Applied AI Project
- Programming and Maths for AI
Option Modules
- Applied Computer Vision
- Big Data and Cloud Computing
Entry Requirements
- A minimum of a lower second class honours degree (2:2) in a science, mathematics, computer science, or engineering discipline, with some exposure to the use of IT.
- Applications will also be considered from individuals who do not have a first degree in these subjects but have gained significant industry experience in data science or software development.
- If your first language is not English you should have an IELTS 6.5 with at least 6.5 in writing and no element below 6.0.
Fees and Funding
- UK tuition fee: £10,700 (Price per academic year)
- International tuition fee: £17,500 (Price per academic year)
- Alumni discount available
- Funding options available, including Student Finance England (SFE) and scholarships
Teaching and Assessment
- Teaching methods include lectures, seminars, workshops, problem-based and blended learning, and practical application.
- Assessments include written exams, practical tasks, and coursework.
Supporting You
- Study support, including workshops, 1-2-1 support, and online resources
- Personal tutors to support you in fulfilling your academic and personal potential
- Student advice team to provide specialist advice on a range of issues
- Extra-curricular activities, including volunteering opportunities, sports and fitness activities, and student events
Course Location
- Cavendish Campus, central London
Related Courses
- Data Science and Analytics MSc
- AI, Data and Communication MA
- Big Data Technologies MSc
Why Study This Course?
- Get yourself work-ready with industry-relevant skills and knowledge
- Transferable skills in artificial intelligence, machine learning, and data science
- Stand out from the crowd with a highly sought-after qualification in AI
Careers
- AI Specialist
- Machine Learning Engineer
- AI Solution Architect
- AI Ethics Consultant
- Data Scientist
- Research Scientist
- Robotics Scientist
Course Leader
- Dr Mahmoud Aldraimli, Lecturer in Computer Science and Engineering
Course Team
- Dr Barbara Villarini, Reader in Computer Science and Engineering
- Dr Hamed Hamzeh, Lecturer in Computer Science and Engineering
- Dr Alexandra Psarrou, Reader in Computer Science and Engineering
- Dr Ester Bonmati Coll, Lecturer in Computer Science and Engineering
- Dr Malarvizhi Kaniappan Chinnathai, Lecturer in Computer Science and Engineering
- Dr Francois Roubert, Senior Lecturer in Computer Science and Engineering
- Dr Artie Basukoski, Senior Lecturer in Computer Science and Engineering
Industry Links
- Celonis Academic Centre of Excellence status
- Industry partners, including IBM, Pfizer, Dow, Jaguar, and many others
Westminster Employability Award
- Flexible and can be completed in your own time
- Choose from a set of extracurricular activities to develop your skills and enhance your employability
University Preparation Courses
- Kaplan International College London offers Pre-Master’s courses that may help you gain a place on a postgraduate degree at Westminster.
University of Westminster
Overview:
University of Westminster is a public university located in London, England. It offers a wide range of undergraduate and postgraduate programs across various disciplines. The university is known for its focus on practical learning and its strong connections to the industry.
Services Offered:
Student Life and Campus Experience:
The university has four campuses across London, providing students with a vibrant and diverse campus experience. Students have access to various facilities, including a cinema, gallery spaces, and sports facilities. The university also offers a range of student support services, including career guidance, academic support, and mental health services.
Key Reasons to Study There:
Location:
The university's location in London provides students with access to a wealth of cultural and professional opportunities.Practical Learning:
The university emphasizes practical learning, with many programs incorporating work placements and industry projects.Industry Connections:
The university has strong connections to industry, providing students with opportunities for networking and career development.Diverse Student Body:
The university has a diverse student body, creating a welcoming and inclusive environment.Academic Programs:
The university offers a wide range of academic programs, including:
Undergraduate courses:
A broad range of undergraduate courses in various disciplines, including business, design, creative industries, and liberal arts.Postgraduate courses:
A variety of postgraduate study options, including master's degrees, research degrees, and short courses.Other:
The university has a strong commitment to research and innovation, with a focus on areas such as sustainability, social justice, and digital technologies. It also has a dedicated alumni network, providing support and opportunities for graduates.