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Artificial Intelligence

Computing, Engineering and Technology

Taught

MSc

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

Overview

The MSc in Artificial Intelligence offers flexible study options for students from diverse backgrounds, focusing on foundational and advanced AI topics. The program emphasizes real-world applications and industry relevance, with strong connections to major technology companies. The School of Computing Sciences is recognized for its excellence in AI research and teaching.

Application Timeline

  1. September 1, 2025
    Start date
  2. June 24, 2026
    Today

Tuition

Whole course
Student categories Study
Full-time Part-time
England£11,775£11,775
Northern Ireland£11,775£11,775
Scotland£11,775£11,775
Wales£11,775£11,775
International£24,500£24,500

Requirements

Entry Requirements:
Language Requirements

Language requirements information is currently unavailable.

Modules

Modules is currently unavailable

Please check back later for updates.

About

Overview of Artificial Intelligence

Artificial Intelligence (AI) is a rapidly evolving field focused on creating intelligent systems that address real-world challenges by learning from human behavior. The demand for skilled professionals in AI is increasing across various sectors.

Program Details

The MSc in Artificial Intelligence is designed for individuals from diverse backgrounds, offering flexible study options:

  • Full-time: 12 months
  • Part-time: 24 or 36 months

Students will start with foundational topics such as:

  • Python programming
  • Introduction to AI
  • Professional skills

The curriculum progresses to advanced modules focusing on:

...

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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Norwich Research Park, Earlham Road, Norwich, NR4 7TJ
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Norwich Research Park, Earlham Road, Norwich, NR4 7TJ
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Enhance your academic journey with the help from our experts.

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