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MSc Artificial Intelligence

Different course options

Study mode

Full time

Duration

1 year

Start date

JAN-25

Key information
DATA SOURCE : IDP Connect

Qualification type

MSc - Master of Science

Subject areas

Artificial Intelligence (Ai)

Course type

Taught

Course Summary

MSc Artificial Intelligence (AI) incorporates elements of the theoretical underpinnings of AI along with exposing students to the practical considerations of constructing AI software tools. Students will study deep technical modules on topics including machine learning, computational intelligence, computer vision and big data, while studying modules on applied AI and robotics to gain an appreciation of the wide range of industrial applications AI has in the modern world.

Key features

  • The programme has the potential for students to tailor their degree towards the industry in which they wish to apply their AI knowledge by selecting and exploring industry-relevant data sets and problems.
  • A combination of module types, including technical modules facilitating a deep-dive of cutting-edge AI technologies and providing experience of constructing AI software from first principles, alongside workshop modules providing insight into the field of AI as a whole. Each Semester is comprised of two technical modules and a workshop module.
  • An embedded research-informed teaching experience offering state-of-the-art knowledge, skills and practice, delivered by internationally recognised and world-leading academics. Students will work directly with these academics, receiving education, support and guidance from researchers at the forefront of AI research.
  • Excellent facilities for conducting research and project work in AI and robotics, including a range of state-of-the-art robotics laboratories, recently-updated computing facilities and the forthcoming new engineering design facility, all of which provide an inclusive learning environment.
  • The programme incorporates a substantial element of practical and production-based work, resulting in an end product of industrial quality that solves a relevant problem. The programme’s assessment is inclusive, being completely coursework and practice based, and providing authentic and holistic means of assessing progress.
  • We promote learning through practice and doing, and a prominent feature of the programme is a dissertation module that enables students to draw together the rest of their taught content to produce outputs of a professional and publishable standard.
  • As a result of our industrial links students have excellent employment opportunities with a wide variety of organisations. These include both providers and consumers of AI.

Modules

This module equips students with knowledge of the underlying theory of machine learning, as well as practical skills that enable them to apply theory to real-world problems. A variety of problems (including unsupervised, supervised and reinforcement learning tasks) are considered with a range of cutting-edge techniques. Students can customise the module to their career aims by identifying and exploring relevant data sets.

Tuition fees

UK fees
Course fees for UK students

For this course (per year)

£10,000

International fees
Course fees for EU and international students

For this course (per year)

£19,800

Entry requirements

A lower second class (2:2) honours degree or better in a STEM-based discipline. Applicants will need to have a sound awareness of programming and be comfortable in learning programming techniques. Applicants without any prior programming experience may be accepted subject to undertaking preparatory work prior to the start of the programme. Applicants with a lower classification, or substantial industrial experience in lieu of formal qualifications may be considered subject to interview.

University information

The University of Plymouth’s campus is centrally located within Britain’s Ocean City, perched on the south western coast of Devon in between scenic Cornwall and the historic Dartmoor National Park. Plymouth is a research-intensive institution and has won awards for its eco-initiatives while becoming established as a leading university for sustainability. The university campus boasts nine award winning cafés, the Jill Craigie cinema, the...more

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