Award in Applied Data Analytics (Artificial Intelligence)

Entry requirements

• IELTS6.5 overall

Prerequisites

Candidates who apply for this course will ordinarily have a MQF 6 level degree. Students without a technical background (either in degree or through work experience) may be encouraged to take additional coursework. Candidates can be asked to demonstrate sufficient knowledge and skills through technical certifications or practical experience Minimum technical expectations for entry which would be beneficial but not mandatory include: ● Mathematical Competency: Applicants should have a basic understanding of linear algebra (vectors, matrices, eigenvalues), probability, statistics, and calculus (derivatives and integrals) as applied to AI and machine learning models. ● Programming Skills: Applicants should have prior experience with basic programming concepts, scripting, or software development, preferably in Python, R, or another relevant language. Prior exposure to data structures and algorithms is also preferred. Students with relevant experience or other forms of learning may apply for Recognition of Prior Learning at the time of admission. Details for RPL application will be posted on https://help.woolf.education/hc/en-us/articles/10009889206300-Recognition-of-Prior-Learning ; usually it will involve a letter, a resume/CV, and a portfolio of work samples or other credentials. The course may be taught in: English or Thai. Whatever the language of instruction, applicants will need to demonstrate the equivalent standard of IELTS 6.5 competency in English.

Source: MFHEA GraphQL register