Artificial Intelligence Extended University of Greater Manchester

Overview

Artificial Intelligence (AI) is revolutionising our daily lives and work environments by automating problem-solving processes. The MSc in Artificial Intelligence Extended at the University of Greater Manchester is tailored for graduates with a computing or software engineering background, aiming to cultivate a comprehensive understanding and practical skills in AI methodologies and techniques. This course covers critical areas such as machine learning, deep learning, computer vision, and natural language processing, ensuring that students are well-prepared for a career in this rapidly evolving sector.

Why Artificial Intelligence Extended at University of Greater Manchester?

The University of Greater Manchester stands out as a leader in the North West for student satisfaction, as highlighted by Times and Sunday Times rankings. The programme benefits from strong industry partnerships, providing students with access to cutting-edge facilities and resources. The university is committed to continually updating its curriculum, ensuring that it meets the latest industry standards and prepares students effectively for their future careers.

Tuition Fee Breakdown

The tuition fees for the MSc in Artificial Intelligence Extended are as follows:

• International Students: £17,500 per year
• Home Students: £5,664 per year

Visit the Fees and Funding section for a breakdown in your local currency.

Syllabus

The MSc in Artificial Intelligence Extended encompasses a variety of modules designed to provide a well-rounded education in AI:

• Professional Practice
• Research Methods
• Applied Artificial Intelligence
• Computer Vision and Deep Learning
• Advanced Software Development
• Data Analysis and Visualisation
• Data Mining and Machine Learning
• Project

Careers with Artificial Intelligence Extended

Graduates of the MSc in Artificial Intelligence Extended will find themselves well-equipped to enter various sectors, including machine learning, data science, and computer vision. The skills acquired during the programme will enable them to pursue roles in established tech companies or innovative start-ups across the globe. Potential career paths include positions in machine learning, robotic science, data analysis, and research science, among others. The demand for AI expertise is increasing across numerous industries, including finance, healthcare, and entertainment, ensuring that graduates will have ample opportunities to apply their knowledge and skills effectively.