Artificial Intelligence with an Industrial Placement - MSc
University of Kent
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Qualification

MSc - Master of Science

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Location

Canterbury Campus

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Study mode

Full Time

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Start date

SEP-25

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Duration

2 Years

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Qualification

MSc - Master of Science

Location

Canterbury Campus

Study mode

Full Time

Start date

OCT-25

Duration

2 Years

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Qualification

MSc - Master of Science

Location

Canterbury Campus

Study mode

Full Time

Start date

SEP-25

Duration

2 Years

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Qualification

MSc - Master of Science

Location

Canterbury Campus

Study mode

Full Time

Start date

OCT-26

Duration

2 Years

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Computer Science
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Course info

The Artificial Intelligence MSc programme combines a wide choice of advanced topics in computer science with specialist modules relating to computational intelligence, including logic-based, connectionist and evolutionary artificial intelligence, inspirations from the natural world, practical applications and the philosophy of machine reasoning. The demand for AI expertise is growing rapidly as industries increasingly rely on artificial intelligence to drive innovation and efficiency. From ...Read more

The Artificial Intelligence MSc programme combines a wide choice of advanced topics in computer science with specialist modules relating to computational intelligence, including logic-based, connectionist and evolutionary artificial intelligence, inspirations from the natural world, practical applications and the philosophy of machine reasoning.

The demand for AI expertise is growing rapidly as industries increasingly rely on artificial intelligence to drive innovation and efficiency. From healthcare and finance to autonomous systems and cybersecurity, AI is transforming the way businesses operate, creating a strong need for skilled professionals who can develop and deploy intelligent systems. As companies seek to leverage AI-driven insights and automation, there is a rising demand for experts who understand machine learning, and data science.

The MSc in Artificial Intelligence is designed for students with a strong computing background who want to deepen their expertise in AI technologies, theories, and applications. This program covers core topics such as machine learning, deep learning, natural language processing, and robotics, ensuring students gain both theoretical knowledge and hands-on experience. Through a combination of advanced coursework, research projects, and industry collaborations, students will develop the technical skills necessary to design and implement AI-driven solutions across various domains, including healthcare, and robotics. The curriculum is continuously updated to reflect the latest advancements in AI, preparing graduates for cutting-edge roles in academia, research, and industry.

Joining this MSc program provides students with the opportunity to learn from leading AI researchers, gaining insights into real-world challenges and innovative solutions. The course emphasizes practical learning through labs, workshops, and projects, allowing students to apply AI techniques to solve complex problems. Whether aspiring to become AI engineers, data scientists, or researchers, graduates of this program will be well-equipped with the expertise and experience needed to excel in the rapidly evolving field of artificial intelligence.

Accreditation

This course is accredited by BCS (British Computer Society). The course partially meets the requirements for a Chartered Information Technology Professional (CITP).

Graduate destinations

Our graduates have gone on to work in:

  • software engineering
  • mobile applications development
  • systems analysis
  • consultancy
  • networking
  • web design and e-commerce
  • finance and insurance
  • commerce
  • engineering
  • education
  • government
  • healthcare.

Key stats

WUSCA ranking:
WUSCA student ranking
These are the 2024 rankings, based on ratings given by past and current students.
82/101
CUG Subject Ranking
CUG Subject Ranking
Source: Complete University Guide 2025
40th
CUG Ranking
CUG Ranking
Source: Complete University Guide 2025
52nd
What students say
J
Julia
22 Sep 23

Grate people and..Read more

Modules

Module Options
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Entry requirements

A first or second class honours degree or equivalent in computing or a related subject. 

All applicants are considered on an individual basis and additional qualifications, professional qualifications and relevant experience may also be taken into account when considering applications.

Tuition fees

Students living in

Rest of World

£22,700 per year

This information is updated by IDP Connect, or in some cases the institution directly.
Please note: The fees might vary so please make sure you contact the institution for up to date information.

Students from International

The amount you'll pay if you come to study here from a country outside the EU.

Accommodation- £115 - £270 per week

IDP Connect

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Uni info

University of Kent
University of Kent , Canterbury

The University of Kent is an internationally renowned institution located in Canterbury and offers an impressive portfolio of...

Student rating
( 3.9) View reviews
CUG ranking
52nd
University of Kent
Canterbury Canterbury Kent CT2 7NZ United Kingdom
Nearest train station: Canterbury West  0.6 miles away

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