Degree Overview:

Aims to provide students with the knowledge and skills necessary to embark on an industrial career or further research studies in AI.
Focuses on mathematics, knowledge representation and reasoning, machine learning, computer vision, natural language processing, and data analytics.
Students will gain experience in applying AI knowledge and skills to develop AI systems and applications.
Provides an introduction to core topics, enabling students to understand the range of topics and acquire skills associated with AI systems and applications.

Analytical, curious, technical, and ambitious individuals
Those who want to expand their horizons in the field of AI
Those who are aware of the growing demand for AI skills and want to advance their careers in this area
Ideally, Computing graduates with strong programming skills and a solid background in mathematics.

Outline:

Computer Vision
Deep neural networks (DNNs) and modern computer vision approaches
DNN models for various computer vision tasks
Current topics of computer vision
Develop ability to use DNN models to solve real-world computer vision challenges
Ability to obtain image/video data from recognized repositories
Ability to utilize existing libraries and packages for implementing appropriate DNN models for a given computer vision task
Foundations of AI
Fundamental mathematics underlying AI including probability and statistics, calculus, algebra, and optimization
Develop a sound understanding of the fundamentals
Develop ability to utilize them to understand and explain various AI techniques
Identify the most suitable modeling, optimization, factorisation, and transformation approach for a given problem
Machine Learning
Different types of machine learning and various algorithms of each type
Provide a systematic understanding of machine learning as a subject area
Develop your ability to:
Identify problems that can be solved using machine learning methods
Apply suitable machine learning algorithms and software packages to solve real-world problems
Evaluate and compare the performance of machine learning methods for a given problem
Present and discuss the results of machine learning methods and propose appropriate improvements to methods

Assessments associated with the course are outlined below:
Awarding of the qualifications is based on continuous assessment of coursework.
Assessment of modules is based solely on submitted work related to private, individual study.

Learning Opportunities:
Academic Team: Specialists in each subject area who bring a wealth of up-to-date knowledge to the course.
Extensive research experience combined with projects offers you the perfect environment to study AI.
English Language Support: The school offers support on the use of English in academic writing, to help you in your future career.
Modules: Composed of three distinct modules, each intended to progressively enhance your knowledge, comprehension, and proficiencies in AI.
Project-based assessment conducted following the taught period.
To supplement the onsite sessions, there are substantial digital resources, such as pre-lecture videos and video-ed labs, with online support sessions available beyond the onsite teaching periods.
Learning and Teaching Methods:
Lectures
Labs
Group work
Project work
Online resources

Free for DfE Funded students (see below): This indicates that the tuition fees for students residing in Northern Ireland who are funded by the Department for the Economy (DfE) are waived.

N/A: This suggests that there are no specific tuition fees mentioned for students from the Republic of Ireland.

N/A: Similar to ROI students, there is no mention of specific tuition fees for those residing in England, Scotland, or Wales.

N/A: No information is provided regarding tuition fees for students from other European Union countries besides ROI.

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

**Depending on the programme of study, there may be extra costs which are not covered by tuition fees, which students will need to consider when planning their studies.

**The text further elaborates on potential costs such as recommended textbooks, printing, photocopying, memory sticks, and graduation ceremonies.

**Information on scholarships for international students, is available at www.qub.ac.uk/Study/international-students/international-scholarships.

While the text mentions "DfE Funded students" and "EU Other" students, it doesn't elaborate on the specific criteria or requirements for these categories.
The information provided does not include the actual cost of tuition fees in any specific currency.