MSc Artificial Intelligence Technology
Northumbria University
Student rating
This is the overall rating calculated by averaging all live reviews for this uni on Whatuni.
( 4.3) View reviews

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2 options available
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Qualification

MSc - Master of Science

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Location

London Campus

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Study mode

Full Time

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Start date

JAN-25

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Duration

1 year

Course info

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Qualification

MSc - Master of Science

Location

London Campus

Study mode

Full Time

Start date

JAN-25

Duration

1 year

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Qualification

MSc - Master of Science

Location

London Campus

Study mode

Full Time

Start date

MAY-25

Duration

1 year

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Computer Science
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Course info

OverviewArtificial Intelligence solutions become an inseparable part of our lives, driving demand on the job market for AI specialists.MSc Artificial Intelligence Technology programme is focused on developing your abilities as a digital leader, capable of identifying and implementing technical solutions to deliver future improvements to your organisation.Key facts Develop in-demand skills to work in a range of roles in the IT industry Train and deploy distributed machine learning modules using ...Read more

Overview

Artificial Intelligence solutions become an inseparable part of our lives, driving demand on the job market for AI specialists.

MSc Artificial Intelligence Technology programme is focused on developing your abilities as a digital leader, capable of identifying and implementing technical solutions to deliver future improvements to your organisation.

Key facts

  • Develop in-demand skills to work in a range of roles in the IT industry
  • Train and deploy distributed machine learning modules using cloud-based platforms such as Google Cloud or AWS
  • Also available as MSc Artificial Intelligence Technology with Advanced Practice
  • This programme has been designed to meet the accreditation criteria of BCS, the Chartered Institute for IT for the purposes of meeting the academic requirement for registration as a Chartered IT Professional
  • Upon completion of your programme, you will be eligible for the QA Professional Pathways programmes which will enable you to further develop your skills with one of the UK’s largest providers of IT and project management training

What will I study?

To accelerate your learning, you will be exposed to theories and principles relating to the design, development and testing of software using AI. Students will learn programming with R and how to conceptualise software requirements into software architectural patterns.

Students will get insight into IoT peripherals, IoT data analytics and an overall grasp of how to incorporate local machine learning (ML) using Python Programming.

You will also be exposed to the fundamental concepts, principles, technologies, and techniques to train and deploy distributed machine learning models using a cloud-based platform such as Google Cloud or AWS. You will be able to apply this knowledge and skills in your context, and critically analyse the implementation and make recommendations for future improvements. You will additionally develop an understanding of the typology of innovation, how firms leverage internal and external resources to compete in the digital environment, and how to plan for innovation in any organisation.

Key stats

WUSCA ranking:
WUSCA student ranking
These are the 2024 rankings, based on ratings given by past and current students.
8/101
CUG Subject Ranking
CUG Subject Ranking
Source: Complete University Guide 2025
50th
CUG Ranking
CUG Ranking
Source: Complete University Guide 2025
34th
What students say
S
Shane
15 Jan 24

Great Uni!..Read more

E
Emma
12 Dec 23

State of the art technology helping us have an up to date education ready for the world of work. Could be improved in some more financial support for..Read more

Modules

Modules (Year 1)
IDP Connect

Entry requirements

Minimum 2:2 (second class) honours degree from a UK university or equivalent. Professional qualifications with equivalent standing which had a significant requirement for academic study may also be considered.

Tuition fees

Students living in

Domestic

£9,960 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 Domestic

This is the fee you pay if the University is in the same country that you live in (England, Scotland, Wales, Northern Ireland)

Tuition fees 2024/25: £9,960.

£19,750 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 EU

The amount you'll pay if you come to study here from somewhere in the EU.

Tuition fees 2024/25: £19,750.

£19,750 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.

Tuition fees 2024/25: £19,750.

IDP Connect

Latest reviews

Latest Artificial Intelligence (AI) reviews

Artificial Intelligence (AI)
Artificial Intelligence (AI)
S
Shane
15 Jan 24
Great Uni!...
Read more
E
Emma
12 Dec 23
Artificial Intelligence BSc (Hons)
State of the art technology helping us have an up to date education ready for the world of work. Could be improved in some more financial support for...
Read more
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How Artificial Intelligence (AI) students rated:

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( 4.0) 7 reviews
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4 stars
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( 4.3) 1,658 reviews
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Uni info

Northumbria University
Northumbria University , Newcastle upon Tyne

Situated in Newcastle upon Tyne, Northumbria University is an exciting university that has a global reputation for its...

Student rating
( 4.3) View reviews
CUG ranking
34th
Northumbria University
110 Middlesex Street City of London London E1 7HT United Kingdom
Nearest tube station: Liverpool Street  0.1 miles away Nearest train station: Fenchurch Street   0.2 miles away
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