Course Summary
Both full time and part time options programme are designed to facilitate learners with a statistics/computing/technology background who wish to up-skill in this new and emerging area of AI.
College Link
Career Sectors
This course prepares you for working in the Career Sectors below. Follow the links to get a fuller understanding of the sectors you are preparing for.
Entry Requirements
• A Level 8 primary cognate degree with a minimum second-class second-division (2.2) classification from a recognised third level institution. Cognate subjects include computer science, technology, networking, information systems, engineering, general science, mathematics, statistics, data analytics or related discipline.
• Graduates of any non-cognate discipline and hold a qualification in a conversion-style programme such as the DBS Higher Diploma in Science in Computing.
• For applicants whose first language is not English and who have not previously undertaken a degree taught through English, evidence must be provided of proficiency in English language equivalent to B2+ or above on the Common European Framework of Reference for Languages (CEFRL). This must be evidenced through a recognised English Language test such as IELTS, Cambridge Certificate, PTE or DBS English Assessment. Test certificates should be dated within the last two years to be considered valid.
Applicants who do not have a Level 8 qualification in a cognate area and who have at least 3 years’ work experience may also be considered through the college’s normal RPL procedures. Relevant professional experience may be taken into account and individuals will be assessed on a case-by-case basis through DBS RPL procedures.
Application Details
We are now accepting applications for programmes taking place in 2025.
Next Intake: September 2025
Fees
The Student
Career Interests
This course is typically suited for people with the following Career Interests. If these interests do not describe you, this course may prepare you for work you may not find satisfying.
Investigative
The Investigative person will usually find a particular area of science to be of interest. They are inclined toward intellectual and analytical activities and enjoy observation and theory. They may prefer thought to action, and enjoy the challenge of solving problems with sophiscticated technology. These types prefer mentally stimulating environments and often pay close attention to developments in their chosen field.
Career Progression
A recent report by Forbes, highlighted that by 2022 AI skills will be required in every industry and could create up to 22 million new jobs globally. Recent findings were presented in The World Economic Forum and the estimates were that by 2025 machines are expected to perform more current work tasks than humans compared to 71% being performed by humans today. The report concludes that robotics, smart automation technology and artificial intelligence, could contribute up to $15 trillion to global GDP by 2030.
Within the AI space, there is a diversity of jobs requiring various levels of expertise:
Core industry roles include:
• data architects
• software engineers
• machine and deep learning engineers
Advanced roles include: specialist research engineers, including specialists in:
• Computer Vision
• Language and Speech
• AI architecture
Duration
Part-time: 2 Years (4 semesters)