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Computer Science (Artificial Intelligence) - January start

1 Study option · UndergraduateMain Site
Awarded by:
St Mary’s University, Twickenham

Course summary

Lead the tech landscape with our hands-on artificial intelligence course.
Develop in-depth knowledge and hands-on experience with our artificial intelligence course. You will build a strong foundation in computer science and cover advanced topics like:

  • machine learning

  • deep learning

  • natural language processing

  • current artificial intelligence (AI) trends

  • emerging technologies.

As a result, you will become a leader in the rapidly evolving tech landscape.

A focus on employability
Our AI course is hands-on. You will:

  • attend lectures from industry guest speakers

  • participate in hackathons

  • visit leading tech organisations and industry partners

  • attend industry conferences

  • join tech meetups.

Therefore, you will:

  • develop a thorough understanding of the industry

  • apply skills to real-world scenarios, enhancing skills crucial for success within the field

  • grow your network

  • become a sought-after graduate.

Cutting-edge facilities
You’ll learn in a dynamic environment and access to:

  • AI labs

  • E-Sports arena

  • industry software and platforms

  • modern computing.

Work placements: build practical experience
You can complete optional industrial placements and internships within AI and the computing industry. As a result, you will stand out after graduation.

Why St Mary’s?
You will gain skills and support to make a positive impact – for yourself and for others – through high-quality teaching, real-world experience, and a community that lifts each other up. Our campus is a London oasis – blending city energy with open green spaces to think, connect, and grow.

How to apply

Application codes

Course code:
G420
Institution code:
S64

Open days

Historical entry grades data BETA

This section shows the range of grades students (with UK A-Levels or Pearson BTEC Level 3 National Extended Diplomas) who received offers were previously accepted with (learn more). It is designed to support your research but does not guarantee whether you will or won't get a place. Admissions teams consider various factors, including interviews, subject requirements, and entrance tests. Check all course entry requirements for eligibility.

Not enough data available

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Fees and funding

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