Program Overview

Artificial Intelligence (MSc)

Overview

The MSc Artificial Intelligence programme at Queen's University Belfast is designed to provide students with a comprehensive understanding of the principles and techniques of artificial intelligence. The programme covers a range of topics, including machine learning, natural language processing, computer vision, and knowledge engineering.

Course Structure

The programme is available in both full-time and part-time options. The full-time option is completed in one year, while the part-time option is completed in two years. The programme consists of six taught modules and a research dissertation.

Modules

• Knowledge Engineering: This module covers the fundamental principles and techniques of knowledge engineering, including logic, ontology, and knowledge graphs.
• Natural Language Processing: This module covers the basics of natural language processing, including lexical, syntactic, semantic, and discourse representations.
• Machine Learning: This module covers the core concepts of machine learning, including linear regression, classification, and clustering.
• Computer Vision: This module covers the principles and techniques of computer vision, including image acquisition, representation, and processing.
• Themed Research Project: This module allows students to work on a research project in a specific area of artificial intelligence, such as machine learning, natural language processing, or computer vision.
• Foundations of AI: This module covers the mathematical foundations of artificial intelligence, including probability, statistics, calculus, and linear algebra.
• Artificial Intelligence for Health: This module covers the application of artificial intelligence in healthcare, including precision medicine, medical imaging, and drug discovery.

Learning Outcomes

Upon completion of the programme, students will be able to:

• Demonstrate a critical understanding of the principles and techniques of artificial intelligence
• Apply artificial intelligence techniques to solve real-world problems
• Evaluate and compare the performance of different artificial intelligence algorithms
• Design and implement artificial intelligence systems
• Communicate complex artificial intelligence concepts to both technical and non-technical audiences

Assessment

Assessment is based on coursework, including assignments, projects, and presentations. There are no exams.

Entry Requirements

• Normally a 2.1 Honours degree or equivalent qualification acceptable to the University in Computer Science, Software Engineering, Electrical and/or Electronic Engineering, Mathematics with Computer Science, Physics with Computer Science, or a related discipline.
• Applicants must normally have achieved 2:1 standard or above in relevant modules.
• Applicants who hold a 2.2 Honours degree and a Master's degree (or equivalent qualifications acceptable to the University) in one of the above disciplines will be considered on a case-by-case basis.
• All applicants will be expected to have mathematical ability and significant programming experience as evidenced either through the content of their primary degree or through another appropriate formal qualification.

International Students

International students must meet the University's English language requirements, which are typically IELTS 6.0 or equivalent.

Tuition Fees

• Northern Ireland (NI) and Republic of Ireland (ROI) students: £7,300
• England, Scotland, and Wales (GB) students: £9,250
• EU Other students: £25,800
• International students: £25,800

Additional Course Costs

Students may incur additional costs for small items of clothing and/or equipment necessary for lab or field work.

Career Prospects

Graduates of the programme will be well-equipped to pursue careers in a range of industries, including technology, healthcare, finance, and education. Potential career paths include:

• Artificial intelligence engineer
• Machine learning engineer
• Natural language processing engineer
• Computer vision engineer
• Data scientist
• Research scientist

Prizes and Awards

The programme offers a range of prizes and awards, including the Northern Ireland Centre for Educational Research (NICER) award.

Graduate Plus/Future Ready Award

The programme is part of the University's Graduate Plus/Future Ready Award, which recognizes students' extra-curricular activities and skills.

How to Apply

Applications can be made online through the University's website. The application deadline is typically 30th June for courses starting in September.