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Electronics & Info-comm Technology

Higher Nitec in Technology – AI Applications (Enhanced Curricular Structure)

Campus

ITE College West

Industry

Infocomm Technology

Course type

Part-time

Certifications

Higher Nitec

Boost your AI career! Learn to support AI/ML engineers by translating business needs into smart solutions, handling data prep, and developing AI tools—all while upholding essential AI ethics. Get ready to make a real impact in the tech world!

Course duration: 18 months

The course duration is 1.5 to 3 years.

What you'll learn

  • Perform data preparation

  • Develop AI solutions

  • Perform project management

Download Core module details [PDF, 186 KB]

Entry requirements

3 GCE ‘O’ Level Grades:

  • Grade 1-8 in English Language;

  • Grade 1-7 in Mathematics (Elementary/Additional);

  • Grade 1-8 in one of the approved subjects: Biology / Biotechnology / Chemistry / Combined Science / Computer Studies / Design & Technology / Engineering Science / Fundamentals of Electronics / Human & Social Biology / Integrated Science / Physical Science / Physics / Science (Chemistry/Biology) / Science (Physics/Biology) / Science (Physics/Chemistry) / Science (Physics/Biology/Chemistry).

OR

  • Nitec in Technology qualifications; or

  • Nitec qualifications (Technical Skills); or

  • Workplace Literacy & Numeracy (WPLN) Level 5 in Speaking, Listening, Reading, Writing and Numeracy, and one year relevant work experience.

Progression opportunities

Flowchart of CET progression from no qualification to university via Nitec, Higher Nitec, and diplomas

Career opportunities

Graduates from Higher Nitec in Technology - AI Applications can expect to embark on a career with government and private sectors that leverage data for businesses and operations. Some of the job titles may include Associate AI Engineer, Associate Machine Learning Engineer.

View application schedule and fees.

Related courses

Higher Nitec in Technology – IT Applications Development (Enhanced Curricular Structure)

Higher Nitec in Technology – Data Engineering (Enhanced Curricular Structure)

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