Artificial Intelligence
Computing, Engineering and Technology
Taught
MSc
Artificial Intelligence
Taught
MSc
Overview
Application Timeline
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
Language requirements information is currently unavailable.
Modules
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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.
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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