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Artificial Intelligence for the Creative Industries

Computing, Engineering and Technology

Taught

MA

  • Overview
  • Application Timeline
  • Tuition
  • Requirements
  • Modules
  • About
  • Subject Area Information
  • Career
  • Similar courses

Overview

This Master's program prepares students for a future where AI enhances creative expression and problem-solving. It combines technical skills in AI with practical applications and ethical considerations, fostering innovation and industry opportunities. Students will explore the evolving impact of AI on society.

Application Timeline

  1. September 1, 2025
    Start date
  2. May 2, 2026
    Today

Tuition

Year 1
Student categories Study
Full-time Part-time
Republic of Ireland£13,300£6,650
EU£31,900£15,950
England£13,300£6,650
Northern Ireland£13,300£6,650
Scotland£13,300£6,650
Wales£13,300£6,650
Channel Islands£13,300£6,650
International£31,900£15,950

Requirements

Entry Requirements:
Language Requirements

Language requirements information is currently unavailable.

Modules

Modules is currently unavailable

Please check back later for updates.

About

Introduction to AI's Influence

Artificial intelligence (AI) is significantly impacting society and is rapidly integrating into various sectors of life. The future will see a coexistence with AI, particularly in creative fields and extended reality environments.

Educational Program Overview

This pioneering Master's program prepares students for a future where AI plays a crucial role in creative expression and problem-solving.

Key Components of the Program

  • Combination of Creativity and Technical Skills: Students will gain essential knowledge in AI, focusing on machine learning and artificial neural networks.
  • Practical Application: Through
...

Subject Area Information

Artificial Intelligence (AI) is a rapidly evolving field that encompasses a wide range of topics and applications. Courses in this discipline are designed to provide students with a comprehensive understanding of the theoretical foundations, practical implementations, and ethical considerations of AI technologies.

Typical Course Structure
  • 1. Introduction to Artificial Intelligence

  • 2. Machine Learning

  • 3. Natural Language Processing (NLP)

  • 4. Robotics

  • 5. Computer Vision

  • 6. AI Ethics and Society

Typical Skills Acquired
  • Proficiency in programming languages such as Python, R, and Java
  • Understanding of algorithms and data structures
  • Ability to implement machine learning models and neural networks
  • Capability to analyze and interpret complex data
  • Develop predictive models and optimize algorithms
  • Aptitude for designing innovative solutions to real-world problems using AI technologies
  • Awareness of the ethical considerations and societal impacts of AI

Career

A curriculum in Artificial Intelligence equips students with a robust set of skills and knowledge, preparing them for a wide range of careers in academia, industry, and beyond. The interdisciplinary nature of AI ensures that graduates can contribute to various sectors, driving innovation and addressing complex challenges.

Potential Professions
  • AI Research Scientist

    Conducts cutting-edge research to advance the field of AI.

  • Machine Learning Engineer

    Designs and implements machine learning models and systems.

  • Data Scientist

    Analyzes large datasets to extract insights and inform decision-making.

  • Robotics Engineer

    Develops and programs robots for various applications.

  • NLP Engineer

    Works on projects involving language understanding and generation.

  • AI Ethicist

    Focuses on the ethical implications and societal impacts of AI technologies.

Similar courses

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Heslington, York, YO10 5DD
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Heslington, York, YO10 5DD
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