Program Overview

This University of Bolton's Masters by Research degree in Applied Artificial Intelligence is a multidisciplinary research training programme which has been designed to be truly novel and sui generis. It has been designed to inspire the imagination and foster creativity while providing rigorous training in advanced research skills and deep subject knowledge.

This MRes in Applied Artificial Intelligence prepares students to become domain-specific AI experts, equipping them with cutting-edge AI research skills to revolutionize various fields through data-driven innovation.

The programme is delivered through a staged and flexible approach enabling you to develop research skills as preparation for a PhD or Professional Doctorate. Embedded within the programme is collaborative research, which prepares you for research within employment. Opportunities will be available for students to undertake applied research projects involving knowledge exchange.

The MRes programme will provide a common foundation for PhD or Professional Doctorate programmes with interim award available following the gaining of 60 credits (PgCert) and an exit award of the 180 credit MRes.

Highlights

• The MRes Applied Artificial Intelligence has been carefully designed to allow you to develop a systematic and critical knowledge and understanding of computing though the study and application of advanced research methods and skills using a scaffolded approach to learning.
• A collaborative practical research project allows you to work with others to develop creative solutions to a real-world problem.
• The MRes research project provides the opportunity for you to undertake in-depth independent and original research or advanced scholarship on a subject of interest within the field of applied artificial intelligence.
• A range of academic and professional assessments which are carefully planned throughout the student journey
• A selected and active team of researchers with various specialisms to help provide both research and academic support; small class sizes encourage direct contact with the researchers; as we are focused on making you a relevant and active researcher.
• We are rapidly developing active partnerships in industry, public sector and the international sector like the North West Ambulance Service (NWAS), World Trade Organisation (WTO) etc.
• Participation in conferences like the IEEE conferences etc. giving you further opportunities to expand your research output and network.
• Successful graduates will be eligible to apply for advanced standing onto PhD and doctoral study.

Key Features

• The Centre of Intelligence of Things staff have a wide range of professional and research experience spanning different domains of Computer Science – Internet of Things (IOT), Applied Machine Learning, Software Engineering, Embedded Computing etc.
• Access to a growing number of Computer and Embedded Computing equipment available for testing and creating research prototypes.
• A publication-centric approach to research and collaboration.
• We will support you in developing a systematic understanding of knowledge, and a critical awareness of current problems and/or new insights within applied artificial intelligence.
• We'll guide you as you develop the ability to deal with complex issues both systematically and creatively, make sound judgements in the absence of complete data, and communicate the conclusions of the research clearly to specialist and non-specialist audiences.
• Demonstrate advanced understanding of how established techniques of research and enquiry can be practically applied to create and interpret knowledge in the discipline.
• You will evaluate and critically apply current research and advanced scholarship in the discipline, evaluate methodologies and develop critiques to develop creative solutions and/or hypotheses.
• Through a blended learning approach, you will develop the qualities and transferable skills necessary for employment requiring the exercise of initiative and personal responsibility; and decision-making in complex and unpredictable situations.
• You will develop critical self-awareness and independent learning strategies in order to develop academically and professionally.
• This MRes in Applied AI prepares students to become domain-specific AI experts, equipping them with cutting-edge AI research skills to revolutionize various fields through data-driven innovation.