Data and Artificial Intelligence (Full-Time) The University of Wales Trinity Saint David

Overview

The MSc in Data and Artificial Intelligence at the University of Wales Trinity Saint David is a comprehensive programme that addresses the increasing demand for skilled professionals in data management and artificial intelligence. This course is structured to provide students with both theoretical foundations and practical experience in the field, ensuring they are well-prepared for the challenges of modern industry.

The University of Wales Trinity Saint David is renowned for its strong commitment to teaching excellence, as evidenced by its high rankings in student satisfaction and academic support. The university boasts state-of-the-art facilities and resources, providing students with hands-on experience with the latest hardware and software in the field. Additionally, the faculty comprises industry professionals and academics who bring a wealth of knowledge and experience to the classroom, ensuring that students receive a well-rounded education.

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

• National Students: £7,800 per year
• International Students: £15,000 per year

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

The curriculum is designed to cover a broad spectrum of topics essential for success in data and artificial intelligence:

• Data Mining and Visualisation (20 credits)
• Advanced Statistical Programming (20 credits)
• Application of Machine Learning (20 credits)
• Artificial Intelligence (20 credits)
• Data Security, Governance and Compliance (20 credits)
• Master's Project (60 credits)
• Research Methods and Professional Development (20 credits)

This diverse syllabus ensures that students acquire both the technical skills and the analytical thinking necessary for a successful career in the field.

Graduates of this programme will find themselves well-equipped for a variety of roles within the computing sector. Potential career paths include:

• Project Manager
• Data Analyst
• Database Administrator
• Application Developer
• Web Developer

With a focus on data management, user experience, and web technologies, students will be prepared to lead teams and manage projects effectively in their future careers.