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Course options

  • Qualification

    MSc - Master of Science

  • Location

    University of Liverpool

  • Study mode

    Full time

  • Start date

    MAR-25

  • Duration

    30 Months

Course summary

Programme Description

Pursue a career in this high-demand sector while gaining a deep and systematic understanding into the domains of data science and AI with this fully online, part-time Data Science and Artificial Intelligence MSc from the University of Liverpool.

This conversion degree is designed for students from a non-computer science background, allowing you to gain a generalist masters in this specialist subject. The fields of data science and artificial intelligence continue to grow in importance to businesses from all sectors, and this programme benefits from the University of Liverpools cutting-edge research in this discipline.

The MSc programme is accredited by the BCS, The Chartered Institute for IT, for the purposes of meeting the further learning academic requirement for registration as a Chartered IT Professional.

An Executive Scholarship of 15% is available for our January 2025 intake.

Is this the right course for you?

This programme will provide you with a systematic insight into the current state of the art, and current thinking, within the remit of data science, artificial intelligence in particular, and computer science in general. The programme will complement your first-degree knowledge with a deep and systematic insight into the domain of data science and artificial intelligence.

Through this course you will:

  • Achieve a generalist degree in a specialist subject. This conversion degree is designed to provide students from a non-computer science background with a specialist set of knowledge and technical skills that have immediate application within the workplace.
  • Develop your skills in a culture of research excellence. The University of Liverpool is globally renowned for the strength of its research into artificial intelligence and, through our Digital Innovation Facility, provides a home for world-leading academic research into a broad spectrum of emerging technologies.
  • Study practical solutions to real-world problems. This programme will provide you with the necessary knowledge to research, propose and implement creative solutions to practical problems, and furnish you with a systematic insight into current thinking within data science and AI.

Enhance your career opportunities

Successful completion of the programme will allow you to take up careers in the growing area of data science and artificial intelligence, or in many other computer science settings, including interdisciplinary roles related to your undergraduate degree. The skills you develop will be of use in a wide range of industries including healthcare, government agencies and technology. Potential job titles are varied, and include examples such as data analyst, data scientist, database manager, machine learning practitioner and IT consultant.

Learn online anytime, anywhere

Get the University of Liverpool experience wherever you are in the world. This 100% online course features interactive classes and regular contact with staff and fellow students across the globe. Teaching is delivered through our state-of-the-art Virtual Learning Environment (VLE), which provides students with access to all resources required for interactive study online.

Tuition fees

Students living in United States
(International fees)

£ 1,406month

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

University information

University image

University of Liverpool

  • University League Table

    19th

  • Campus address

    University of Liverpool, The Foundation Building, 765 Brownlow Hill, Liverpool, Liverpool, L69 7ZX, England

Personalised and supported entrance into the UK for international students.
Dedicated 'International Plus' careers offer for international students.
A global community of 280,000 alumni.

Subject rankings

  • Subject ranking

    31st out of 117 3

  • Entry standards

    / Max 227
    143 63%

    39th

  • Graduate prospects

    / Max 100
    88.0 88%

    33rd

    25
  • Student satisfaction

    / Max 4
    3.00 75%

    63rd

    1

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