USW’s new MSc Artificial Intelligence is a conversion course aimed at graduates who would like to broaden their existing knowledge and open up a new career path.
Artificial intelligence aims to automate the completion of highly complex tasks and increase productivity, as well as use data to get a competitive edge or increase market share.
As a result, artificial intelligence has broad application in a variety of industries from mobile communications and computer security to healthcare, manufacturing, marketing and financial services and is a key growth area for jobs.
The AI masters will develop technical training in the fundamentals of artificial intelligence including machine learning techniques; autonomous systems; deep learning and computational intelligence, as well as core skills in data analysis, project management and research.
You will learn to think logically and creatively, and to communicate effectively, both orally and in writing, for technical and lay audiences. Applications from engineering, IT, science, mathematics or business graduates in particular are welcomed. All entrants must have strong numeracy and IT skills.
Modules include work based on research by the Computer Science and Artificial Intelligence Paradigms (CSAIP) research group.
This AI masters is aimed at graduates with engineering, science, IT, mathematics or business backgrounds who have strong numeracy and IT skills.
It is delivered in four major blocks to offer an intensive but focused learning pattern. Full-time students will typically spend 12 hours in classes and 24 hours outside of classes each week.
If you choose to study part-time, this is reduced to around six hours each week. You will study through lectures, tutorials, practical sessions, seminars and projects.
You will need to spend a significant amount of time working independently, reading and preparing for assessments.
You will also work on a significant research project of your own choice, where strong independent thinking, critical analysis and project management skills will be important.
Assessment is primarily by coursework (94%), varying from a research-style paper or essay to practical assignments.
You will also work on a significant research project of your own choice, where strong independent thinking, critical analysis and project management skills will be important.
Through the Erasmus scheme, students could have the opportunity to attend summer schools in advanced computer vision and machine learning with our partners in TEI of Crete, University of Patras, University of Burgundy, Cyprus University of Technology, Polytechnic Institute of Porto and the University of Salento.
Practice is so important in gaining understanding of complex machine learning techniques, which is why we have a range of high specification computer laboratories including workrooms dedicated to our masters’ students.
These facilitate a learning environment where you can work individually or in groups and as they are located close to the staff offices.
Our facilities are at the cutting edge of computer development, meaning you’ll use the latest technologies in high-spec labs.
You’ll also find dedicated spaces on campus for computing students, including Windows, Apple Mac, Linux and Networking suites, all with the latest software.
This course is aimed at graduates with a minimum 2:2 Honours degree or equivalent who would like to broaden their existing knowledge and open up a new career path.
Applications from engineering, IT, science, mathematics or business graduates in particular are welcomed.
All entrants must have strong numeracy and IT skills.
The course welcomes international applicants and requires an English level of IELTS 6.0 with a minimum of 5.5 in each component or equivalent.
Full-time fees are per year. Part-time fees are per 20 credits. Once enrolled, the fee will remain at the same rate throughout the duration of your study on this course.
Students have access to a wide range of resources including textbooks, publications, and computers in the University’s library and via online resources. In most cases they are more than sufficient to complete a course of study. Where there are additional costs, either obligatory or optional, these are detailed below. Of course students may choose to purchase their own additional personal resources/tools over and above those listed to support their studies at their own expense. All stationery and printing costs are at a student’s own expense.
Apply directly to the University for the MSc AI course.
Admissions statement
Graduates with an MSc Artificial Intelligence will be able to apply for jobs in artificial intelligence, competitive intelligence, business intelligence, threat intelligence, cyber intelligence, computational intelligence, customer intelligence and marketing intelligence.
Example job titles include machine learning engineer, artificial intelligence engineer and business intelligence data engineer.
Many of our computing graduates commence a computing research degree here at the University, and there are PhD research opportunities in artificial intelligence within the school and beyond.
The Pontypridd Campus is made up of two sites: Treforest and Glyntaff. Our students love the community atmosphere, as well as living and studying in the same place. It’s quieter than the cities, with green open spaces and views across the valley.
It’s the community and friendships you’ll build that make this place special. Outside your studies you can experience our amazing sport facilities and Students’ Union.
Living in Halls is a great way to meet new people and make friends. We have high quality accommodation in Treforest, Cardiff and Newport.
