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MSc Artificial Intelligence Technology

MSc Artificial Intelligence Technology

Different course options

Full time | London Campus | 1 year | JAN-25

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

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.

Modules

This module is designed to support your transition in the use and practice of technical language and subject-specific skills around assessments and teaching provision in your chosen subject area.

Tuition fees

UK fees
Course fees for UK students

For this course (per year)

£9,960

International fees
Course fees for EU and international students

For this course (per year)

£19,750

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.

University information

Situated in Newcastle upon Tyne, Northumbria University is an exciting university that has a global reputation for its research-driven approach to postgraduate learning. The university is well known for producing future leaders across a range of industries, as it encourages students to ‘Take on Tomorrow’ throughout their academic journey. Northumbria University produces outstanding and innovative research while also nurturing student talent to...more