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Artificial Intelligence with an Industrial Placement - MSc

University of Kent

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University of Kent

Course options

3 options available

  • Qualification

    MSc - Master of Science

  • Location

    Canterbury Campus

  • Study mode

    Full time

  • Start date

    22-SEP-25

  • Duration

    2 Years

Course summary

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.

Tuition fees

Students living in Hong Kong
(International fees)

拢 22,700per year

Tuition fees shown are for indicative purposes and may vary. Please check with the institution for most up to date details.

University information

University of Kent

University of Kent

  • University League Table

    52nd

  • Campus address

    University of Kent, Recruitment and Admissions Office, Registry, Canterbury, Kent, CT2 7NZ, England

VIEW PROFILE
A range of scholarships for international students, including GREAT Scholarships for students from China, Ghana, Kenya, Malaysia, Pakistan or Thailand.
Kent offers globally recognised degrees and has a diverse student community representing over 180 nationalities.
Kent provides excellent support for international students, including English language training and academic study support.

Subject rankings

  • Subject ranking

    Computer Science

    40th out of 117 5

  • Entry standards

    / Max 227
    131 58%

    57th

  • Graduate prospects

    / Max 100
    85.0 85%

    43rd

    7

  • Student satisfaction

    / Max 4
    2.93 73%

    84th

    43

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