Teesside University

Overview

The MSc in Artificial Intelligence with Data Analytics at Teesside University equips students with advanced skills in machine learning, intelligent decision-making, and data analytics. This program prepares you to transition from technical implementation to designing and leading AI-driven solutions.

What you'll study

• Foundational knowledge in statistical and research methods to support in-depth postgraduate study.
• Hands-on experience in machine learning and data analytics applicable to real-world scenarios.
• Insights into the ethics of AI and the responsible use of intelligent systems.
• Opportunities to work on a Computing Master’s Project that integrates your learning and showcases your abilities.

Modules typically include:

• Artificial Intelligence Ethics and Applications
• Data Analytics
• Intelligent Decision Support Systems
• Machine Learning
• Research and Development
• Statistical Methods for Data Analytics
• Computing Master’s Project

Capstone / project: The Computing Master’s Project enables you to apply AI and data analytics techniques to a significant project, demonstrating your ability to plan, execute, and present a technical solution.

Learning approach: You will enhance your skills through guided learning, practical problem-solving, and assessments that reflect the expectations of postgraduate study.

Entry requirements

• Academic: Lower Second Class (2.2) in a related discipline or equivalent qualifications/experience.
• English language proficiency: IELTS 6.0 or equivalent, such as PTE Academic with a minimum score of 59.

Career prospects

Graduates of the MSc in Artificial Intelligence with Data Analytics are well-prepared for a variety of careers in the dynamic fields of AI and data analytics. Opportunities may include roles in data science, machine learning engineering, AI ethics consultancy, and intelligent systems development, among others. The skills gained in this program will enable you to contribute to the evolving landscape of technology and innovation.