Applied Artificial Intelligence for Engineering
Computing, Engineering and Technology
Taught
MSc
Overview
Application Timeline
Tuition
- Whole course
| Student categories | Study | |
|---|---|---|
| Full-time | Part-time | |
| England | £11,325 | £11,325 |
| Northern Ireland | £11,325 | £11,325 |
| Scotland | £11,325 | £11,325 |
| Wales | £11,325 | £11,325 |
| EU | £18,700 | £18,700 |
| International | £18,700 | £18,700 |
Requirements
Language requirements information is currently unavailable.
Modules
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About
Overview
This Master's program focuses on advancing artificial intelligence and machine learning to create innovative systems that enhance computing capabilities. It encourages students to analyze current technologies and envision future advancements.
Course Highlights
- Engagement in a dynamic intellectual environment with research-active tutors and peers.
- Exposure to cutting-edge technologies and innovative methodologies.
- Development of both technical and practical skills using specialized equipment.
- Encouragement to think creatively and achieve design goals efficiently.
- Incorporation of essential elements, such as security, from the outset
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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