Diploma in Infocomm & Digital Media (Applied Artificial Intelligence & Analytics)

Training Provider: SINGAPORE POLYTECHNIC
Course Reference: TGS-2026063514
S$27,990

About This Course

The course focuses on artificial intelligence and data analytics that are applied in the areas of business problem-solving, smart systems, and data-driven decision-making. It equips students with strong foundation knowledge and skills in mathematics and programming, and the ability to leverage technology applications; to harness information, to gain insights to offer business solutions in relevant industries. It also equips students with analytical and integrated problem-solving skills, communications skills and critical thinking skills and prepare them for a lifetime of learning through the emphasis on independent learning and teamwork. The course creates an AI-ready workforce that is skilled in managing and maintaining AI applications, and able to use AI & analytics to solve problems.

What You'll Learn

The course emphasises skills and practical applications of Artificial Intelligence (AI), Machine Learning, and Data Analytics. It is designed to prepare students for real-world challenges in AI-driven environments through hands-on training and industry-relevant modules.

Learning outcomes for the programme will be:
• Apply programming fundamentals, data structures, and algorithms to solve computational problems with appropriate time and space complexity.
• Develop secure front-end and back-end web applications with proper backend validation.
• Use mathematical and statistical concepts to perform data wrangling, exploratory data analysis, and visualisation.
• Build and manage data pipelines and databases to support data ingestion, storage, and retrieval.
• Apply machine learning, deep learning, Agile, and MLOps practices to develop AI solutions for real-world applications.
• Understand and apply web security and backend validation principles.

Entry Requirements

GCE ‘O’ Levels
3 relevant passes & 1 year relevant working experience:
Subjects/Min. Grade:
1. English: 7
2. Mathematics (E-Maths or A-Maths): 6
3. Any one other subject (excluding CCA): 6

FT Nitec
GPA > 3.5 OR
GPA > 3.0 and 1 year of relevant working experience

PT Nitec in Technology/Services
GPA > 3.5 and 1 year of relevant working experience

FT Higher Nitec
GPA > 2.0 OR
GPA > 1.5 and 1 year of relevant working experience

PT Higher Nitec in Technology/Services
GPA > 2.0 and 1 year of relevant working experience

WSQ Diploma
Relevant WSQ Advanced Cert (or higher) with 1 year of relevant working experience and Level 6 for both WSQ Workplace Literacy SOA & Workplace Numeracy SOA.

Without any of the relevant academic qualifications
At least 2 years of relevant working experience.

Recognition of Prior Learning (RPL)
Applicants who do not meet the entry requirements may be considered for admission to the course based on supporting evidence of competency

Course Details

Duration 900 hours
Language English
Training Commitment Part Time
Total Enrolled New course
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