Artificial Intelligence and Data Science - MSc

Program Overview

Keele University's MSc in Artificial Intelligence and Data Science equips students with foundational principles and skills in AI, data analytics, and machine learning. The program emphasizes practical application through industry placements or academic projects, preparing graduates for careers in data science, web development, and software engineering. Keele's focus on student-led learning and research fosters independent research and technical abilities.

Program Outline

Degree Overview:

This MSc program in Artificial Intelligence and Data Science is a part of a £30 million government initiative to address the shortage of AI and data specialists. Open to students from various backgrounds, it draws on Keele's internationally recognized research. You'll learn about foundational principles and concepts of AI and data science, including mathematics, data analytics, programming, system design, cloud computing, machine learning, visualization, and more. The program aims to equip students with the necessary skills and knowledge to support diverse industries and take advantage of efficiencies new technology can generate, including medicine, transport, social sciences, biosciences, and sports business.

Outline:

The program is structured as follows:

• Semester 1: You will begin by learning the fundamentals of programming (Python) and mathematics for AI and Data Science, designed for those without a background in those areas.
You will then look at how to apply these skills in areas such as cloud computing and how they relate to the design of distributed intelligent systems.
• Semester 2: You will cover the core areas of databases, data analytics, visualization, and the applications of machine learning and data science, including topics such as deep learning and face/speech recognition.
• Semester 3: You can choose between an
• industrial placement
(depending on suitability and availability) or a formal academic
• project
supervised by a Keele academic expert from the School of Computer Science and Mathematics. Both options will enable you to put into practice and apply the skills and knowledge learned throughout the course.

Assessment:

Your performance in the program will be assessed through various methods, including:

• Unseen examinations
• Class tests
• Coursework (e.g., programming tasks, data science investigations, reports, presentations, etc.
• )
• Individual project (10,000 to 15,000 words dissertation)
• Industry placement report (7,000 words) and reflective diary (2,000 words)

Teaching:

The program is delivered through a variety of teaching and learning activities:

• Formal lectures: Introduce key concepts, supplemented by tutorials and practical sessions.
• One-on-one meetings with an individual academic supervisor.

• Guest speakers from industry and business provide real-life perspectives on the topics.
• Digital resources: Online access to textbooks and ebooks.
• Virtual Learning Environment: Provides online access to a range of digital resources and tools, including the IEEE Xplore® digital library.
• Makerspace with 3D printers, a Vicon motion-tracking system, Raspberry PIs, and Arduinos to support application-oriented learning.

• Emphasis on student-led learning and research to develop your independent research and technical skills, with support from teaching staff and technicians.

Careers:

This conversion program aims to equip graduates for careers in data science, web development, networking, systems analysis and development, and software engineering, working for companies like Bet365, British Airways, BAE Systems Applied Intelligence, Bitjam, Capgemini, Hong Kong Esports, Mira, Playtech, IBM, Capita, Lloyds Bank, Rolls-Royce, Vodafone, Morrisons, and the YMCA.

Other:

• The "Keele Postgraduate Association" provides social and welfare support to postgraduate students.
• School of Computer Science and Mathematics

UK - Full time £11,000 per year. International - £20,700 per year.