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Bachelor’s Degree in a relevant discipline, including Computer Science, Information Technology, Artificial Intelligence, Data Science, Engineering, Mathematics, Statistics, or other closely related STEM (Science, Technology, Engineering and Mathematics) fields.Applicants from other disciplines may be considered on a case-by-case basis, subject to relevant work experience and/or successful completion of required bridging modules in programming and quantitative methods, such as Linear algebra, Statistics, or related quantitative subjects offered through AAC short coursesMature entry: > 30 years old with 8 years of relevant working experience

IELTS 6.0 (with a minimum of 5.5 in all areas); or Pearson Test of Academic English: 56; or Cambridge English Scale: B2; or London Tests of English: level 4 for undergraduate courses; or GCE' O' level English (grade C6) or equivalent. If the medium of instruction in the bachelor’s degree was English, the student may waive the English proficiency requirement, subject to approval, on a case-by-case basis.

At least 20 years old

1:40

First Monday of the following months: JanuaryMarchMayJulySeptemberNovember

5 days per week x 3 hours per day (full-time)3 days per week x 3 hours per day (part-time)

After completion of the Postgraduate Diploma, students may be able to gain admission to a Master's Degree programme with advanced standing

Graduates will be prepared for a wide range of AI and technology-related roles, including:Artificial Intelligence SpecialistMachine Learning EngineerAI Systems AnalystData Analytics ProfessionalIntelligent Systems DeveloperTechnology Solutions ConsultantDigital Transformation ExecutiveAI Deployment and Integration Specialist

Advanced Machine Learning & Deep Neural NetworksModel Deployment and AI Systems IntegrationNatural Language ProcessingComputer VisionFuzzy LogicEvolutionary Computing The modules listed above do not have any prerequisites. Students can complete the modules in any order

Face to Face

Level 7

36 months