Artificial Intelligence
Computing, Engineering and Technology
Taught
MSc
Artificial Intelligence
Taught
MSc
Overview
Application Timeline
Tuition
- Year 1
| Student categories | Study | |
|---|---|---|
| Full-time | Part-time | |
| England | £10,900 | N/A |
| Northern Ireland | £10,900 | N/A |
| Scotland | £10,900 | N/A |
| Wales | £10,900 | N/A |
| EU | £25,000 | N/A |
| International | £25,000 | N/A |
Requirements
Language requirements information is currently unavailable.
Modules
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About
Program Details
The MSc Artificial Intelligence (AI) program at Swansea University offers a thorough foundation in AI concepts and technologies, starting in January 2025. This 16-month course is designed to equip students with the necessary skills for developing and applying AI across various contexts.
Course Structure
The curriculum covers:
- Computational principles
- Methods and systems for real-world applications
- Mathematical foundations
- Programming skills
- Critical thinking in AI
Topics Covered
Students will explore a range of AI topics, including:
- Machine learning
- Visualisation
- Optimisation
- Big data
- Symbolic AI
- Natural language
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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