Artificial Intelligence University of East London

Overview

This MSc in Artificial Intelligence is tailored for individuals aiming to establish a career in AI, with a focus on machine learning and deep learning techniques. The course is structured to provide you with the necessary knowledge and practical skills to develop intelligent software and algorithms that enhance decision-making processes within various organisations.

Why Artificial Intelligence at University of East London?

The University of East London is renowned for its strong emphasis on innovative research and practical applications in the field of Artificial Intelligence. The university boasts impressive research collaborations with esteemed institutions such as the University of Oxford and industry giants like Microsoft and Amazon. UEL's commitment to cutting-edge research ensures that students are exposed to the latest developments in AI, preparing them for successful careers. Moreover, the university's Docklands campus offers state-of-the-art facilities, providing an ideal environment for learning and innovation.

Tuition Fee Breakdown

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

• International students: £16,740 per year
• Home students: £11,340 per year

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

Syllabus

The curriculum for the MSc in Artificial Intelligence consists of five core modules:

• Artificial Intelligence & Machine Vision
• Machine Learning on Big Data
• Intelligent Systems
• Big Data Analytics
• Mental Wealth; Professional Life (Dissertation)

This comprehensive syllabus is designed to equip students with a robust understanding of neural networks, deep learning, and ethical considerations in AI. Practical projects and lab sessions complement theoretical learning, ensuring a well-rounded educational experience.

Careers with Artificial Intelligence

Graduates from the MSc in Artificial Intelligence programme are well-prepared for diverse roles in the tech industry. Potential career paths include:

• Machine/Deep Learning Engineer
• Data Scientist
• Big Data Software Engineer
• Artificial Intelligence Architect
• Machine Learning Specialist

Alumni have successfully secured positions across various sectors, including software development, healthcare, and finance, demonstrating the programme's effectiveness in fostering career readiness.