Master of Science in Artificial Intelligence (Teesside University)
Course Information
Description
Course Overview
Artificial intelligence (AI) is increasingly important in developments in all parts of business and society. The course gives you specialist skills in artificial intelligence, opening the door to a range of careers. You will develop strong theoretical and technical knowledge and skills including a thorough grounding in data analytics and specialist skills in artificial intelligence, which will provide the directly transferable skills for a career in the field of AI.
You will explore state-of-the-art technologies, concepts and theories, supported by a thriving active research community. You will develop specialist knowledge and experience in the development of intelligent systems. Topics studied will include machine learning, AI Programming, research and statistical methods and data analytics. The distinctive nature of the award is the close integration with our AI and Machine Learning research groups coupled with the opportunity for an internship and a highly supportive environment, particularly for international students. The course also provides you with directly transferable skills for a career in a range of industries from the finance sector to healthcare to auto-motives, as well as progression opportunities to PhD research.
Entry Requirements
Age Requirement
20 years old
Academic Requirements
An honours degree with a minimum grade-point average of 2.7/4.0
English Language Requirement
- If your first language is not English, you will need an IELTS score of 6.0 equivalent with no component below 5.5
- Singapore-Cambridge GCE O Level English – Grade C or above for all entries
- Other English requirements are per Teesside University’s entry requirement
https://www.tees.ac.uk/sections/international/minimum_english_scores.cfm
Mature Candidate
Candidates who are at least 30 years of age with at least 8 years of working experience. To qualify as a mature candidate, you are required to submit a Personal Statement of not more than 200 words and 2 Referee Reports from at least one employer. Shortlisted applicants may be required to attend an interview.
Career Opportunities
Information not available.
Modules
Module Titles | Credits |
---|---|
Artificial Intelligence Ethics and Applications | 20 |
Intelligence Decision Support Systems | 20 |
Statistical Methods for Data Analytics | 20 |
Machine Learning | 20 |
Research Methods | 20 |
Artificial Intelligence Foundations | 20 |
Computer Masters Project | 60 |