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MSc Artificial Intelligence

  • DeadlineStudy Details:

    MSc 1 year full-time, 2 years part-time

Course Description

USW’s new MSc Artificial Intelligence is a conversion course aimed at graduates who would like to broaden their existing knowledge and open up a new career path.

Artificial intelligence aims to automate the completion of highly complex tasks and increase productivity, as well as use data to get a competitive edge or increase market share.

As a result, artificial intelligence has broad application in a variety of industries from mobile communications and computer security to healthcare, manufacturing, marketing and financial services and is a key growth area for jobs.

The AI masters will develop technical training in the fundamentals of artificial intelligence including machine learning techniques; autonomous systems; deep learning and computational intelligence, as well as core skills in data analysis, project management and research.

You will learn to think logically and creatively, and to communicate effectively, both orally and in writing, for technical and lay audiences. Applications from engineering, IT, science, mathematics or business graduates in particular are welcomed. All entrants must have strong numeracy and IT skills.

Entry Requirements

This course is aimed at graduates with a minimum 2:2 Honours degree or equivalent who would like to broaden their existing knowledge and open up a new career path.

Applications from engineering, IT, science, mathematics or business graduates in particular are welcomed.

All entrants must have strong numeracy and IT skills.

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Fees

Information on tuition fees is available on our Home and EU/International fees pages.

Student Destinations

Graduates with an MSc Artificial Intelligence will be able to apply for jobs in artificial intelligence, competitive intelligence, business intelligence, threat intelligence, cyber intelligence, computational intelligence, customer intelligence and marketing intelligence.

Example job titles include machine learning engineer, artificial intelligence engineer and business intelligence data engineer.

Many of our computing graduates commence a computing research degree here at the University, and there are PhD research opportunities in artificial intelligence within the school and beyond.

Module Details

Modules include work based on research by the Computer Science and Artificial Intelligence Paradigms (CSAIP) research group.

  • Project Management and Research Methodology – 20 credits
  • Principles of Computing – 20 credits
  • Applied Statistics for Data Science – 20 credits
  • Knowledge-Based Systems – 20 credits
  • Machine Learning and Autonomous Systems – 20 credits
  • Deep Learning – 20 credits
  • MSc Project – 60 credits

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