Applied Artificial Intelligence
University of Westminster, LondonAbout this course
You’ll gain a comprehensive understanding of AI, covering core concepts such as search strategies and reasoning. Thereafter, you’ll progress to advanced topics like machine learning and deep learning, which power cutting-edge technologies, including Large Language Models (LLMs).
The course is ideal for IT and computing graduates who wish to expand their knowledge and skills in Artificial Intelligence. It also applies to professionals seeking to upskill in the latest industry developments or transition into a new field.
Hands-on learning is central to this course, ensuring you gain practical experience with industry-standard software and tools. You'll develop expertise in programming languages such as Python, essential AI libraries and development environments.
Through optional modules, you'll specialise in areas such as Applied Computer Vision or Big Data and Cloud Computing, enhancing your career prospects in diverse AI-driven industries.
The MSc Applied AI Project module allows you to apply what you have learnt to a real-world problem, conduct independent research and develop an AI solution under the guidance of experienced staff. This project will solidify your understanding of AI and enhance your research and problem-solving abilities.
Teaching methods include lectures, tutorials, seminars, and practical sessions. You will also learn through extensive coursework, class presentations, group research work, and industry-standard software.
Study Options
This course is available in 2 study options:
Duration: 1 Year
Qualification: MSc
Location: Westminster
Duration: 2 Years
Qualification: MSc
Location: Westminster
Career Prospects
Graduates from this course typically go into the following occupations:
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A-Levels
DEE
UCAS Points
56 points
Avg. Salary
£26,000
Course Details
- Qualification
- MSc
- Study Mode
- Full-time
- Duration
- 1 Year
- Start Date
- 2025
- Academic Year
- 2025
- Campus / Location
- Westminster
- Scheme
- Postgraduate
- Subjects
- Computer science