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MSc Artificial Intelligence and Machine Learning

  • DeadlineStudy Details:

    MSc 1 year full-time

Course Description

Deploy machine learning techniques and grapple with the ethics of artificial intelligence on this Master’s degree. You’ll learn about the capabilities of AI frameworks,the growth of technological innovations in the field, and their application to real-world problems in engineering, healthcare, agriculture and beyond.

If you’re interested in entering a new career in artificial intelligence and machine learning, you’ll be able to build on your existing skills and studies through this conversion MSc course. It’s designed to help you retrain, learn new skills or return to work after a career break. You can enter this course with basic or advanced computing skills, relevant industry experience, or a degree that shows your numerate background (such as Mathematics, Business Information Systems, Psychology or Applied Geography). Whatever your background, you can use this programme to convert your learning in computing, or in a relevant non-STEM subject, into an AI and machine learning qualification.

You’ll develop your interest in interactions between humans and algorithms, using data and logic to predict behaviour, solve problems and contribute to further applications of artificial intelligence in the world.

Entry Requirements

Qualifications or experience

  • A second-class honours degree in a relevant subject, or equivalent professional experience and/or qualifications.

English language Requirements for International and EU Applicants

  • English language proficiency at a minimum of IELTS band 6.0 with no component score below 5.5.

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Fees

For fees and funding options please visit website to find out more

Programme Funding

If you meet our criteria, you could get a £3000 tuition fees discount – visit website for details

Student Destinations

As a successful graduate of this course, you’ll have developed practical skills in data analysis, programming and problem solving.

You’ll have demonstrable experience with industry-standard software, and a network of industry connections made up of your graduating class and lecturers. If you choose to work with one of our business partners in your final project, you’ll also have made professional contacts in the sector while making your analytical insights.

You’ll also have an understanding of the opportunities that AI and machine learning methods offer to any modern career, and a grounding in research and innovation methods that help you seize – or create – new opportunities throughout your career.

Module Details

Core modules

  • Masters Project - 60 credits
  • AI Foundations in Practice - 15 credits
  • Intelligent Data and Text Analytics - 30 credits
  • Big Data and Machine Learning Applications - 30 credits
  • Explainable AI -15 credits
  • Programming for Data Analytics and AI - 15 credits

Optional modules

  • Statistical Machine Learning - 15 credits
  • Business Intelligence - 15 credits
  • Data Visualization and Exploratory Analytics - 15 credits
  • Cyber Security for Information Systems - 15 credits 

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