Management (Artificial Intelligence)
Computing, Engineering and Technology
Taught
MSc
Management (Artificial Intelligence)
Taught
MSc
Overview
Application Timeline
Tuition
- Year 1
| Student categories | Study | |
|---|---|---|
| Full-time | Part-time | |
| England | £11,550 | £5,800 |
| Northern Ireland | £11,550 | £5,800 |
| Scotland | £11,550 | £5,800 |
| Wales | £11,550 | £5,800 |
| EU | £21,650 | £10,850 |
| International | £21,650 | £10,850 |
Requirements
Language requirements information is currently unavailable.
Modules
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About
Introduction to AI in Business
Artificial Intelligence (AI) is becoming essential in the workplace, influencing both industry and government as more jobs incorporate AI systems to address business challenges.
Program Overview
The MSc Management (Artificial Intelligence) program at Swansea University offers:
- A comprehensive introduction to the business and management implications of AI adoption.
- Insights into the complexities of AI usage in organizations.
Key Learning Outcomes
Students will:
- Explore fundamental AI principles.
- Gain knowledge from both theoretical and practical perspectives.
- Understand key issues, best practices, and ethical
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.
1. Introduction to Artificial Intelligence
2. Machine Learning
3. Natural Language Processing (NLP)
4. Robotics
5. Computer Vision
6. AI Ethics and Society
- 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.
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.
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