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[NP-SDA1-22] Machine Learning - Part of Post Diploma Certificate in Data Preparation & Modelling and Machine Learning (SDDA1)

Offered by School of InfoComm Technology

Specialist Diploma

Course Schedule
About Course
Course Structure
Entry Requirements
Financial Matters
Apply Register Interest
Area of interest
Data Analytics, Technology

Course Schedule

  1. Registration Period 16 Jun 2025 - 31 Aug 2025
  2. Course Date 20 Oct 2025 - 31 Mar 2026
  3. Venue NGEE ANN POLYTECHNIC
  4. Schedule Info Ngee Ann Polytechnic reserves the right to reschedule / cancel any programme, modify the fees and amend information without prior notice.
Classes Day: Every Mon or Thurs
Time: 6pm to 10.30pm
Mode of training: Classroom, Synchronous eLearning

Recommended that learners have prior knowledge of Python programming before enrolling in other modules. If learners do not have a background in Python programming, they are encouraged to take Programming for Analytics first.

About Course

Course Objectives

This module introduces the fundamentals of Machine Learning (ML) and its applications. Learners will gain a comprehensive understanding of Machine Learning, augmented with relevant Statistics to provide essential context and background knowledge. Learners will gain exposure to both supervised and unsupervised learning models such as Linear & Logistic Regression, Decision Tree, K-means Clustering and more. Using leading software and associated libraries, learners will be able to implement and train Machine Learning models to address business challenges.

Course Description

Machine Learning - Part of Post Diploma Certificate in Data Preparation & Modelling and Machine Learning (SDDA1) is a 75 hrs module.

Target Audience

Machine Learning - Part of Post Diploma Certificate in Data Preparation & Modelling and Machine Learning (SDDA1) is a 75 hrs module.

Course Structure

TPG course reference No.

TGS-2023040957

Machine Learning - Part of Post Diploma Certificate in Data Preparation & Modelling and Machine Learning (SDDA1)
Machine Learning (NP-013199)
This module introduces the fundamentals of Machine Learning (ML) and its applications. Learners will be provided the essential context and background knowledge of Machine Learning. Learners will gain exposure to both supervised and unsupervised learning models such as Linear & Logistic Regression, Decision Tree, K-means Clustering and more. Using leading software and associated libraries, learners will be able to implement and train Machine Learning models to address business challenges.

Entry Requirements

Condition 1

Highest qualification

Polytechnic Diploma
or

Condition 2

Highest qualification

Bachelor's Or Equivalent
or

Condition 3

Working experience

Full-time; Duration: 1 year
  • You are required to have working knowledge of Microsoft Office e.g. Word, Excel and PowerPoint. Learners enrolled into the course are expected to bring along their personal laptop.

Required Specifications for Laptop Computers
•   Processor: Intel Core i7 or AMD Ryzen 7 Series
•   RAM: 16 GB (32 GB recommended)
•   Storage Device: 1 TB Solid State Drive (SSD) or above
•   Operating System: Microsoft Windows 11
•   Communication platform: Microsoft TEAMS (mandatory to have this tool installed in the laptop)

Financial matters

Course fees payable (incl. GST & excl. supplementary fee)

Description Machine Learning - Part of Post Diploma Certificate in Data Preparation & Modelling and Machine Learning (SDDA1) Total course fee
Full Course fee $2,485.20 $2,485.20
PR Sponsored by SME $289.56 $289.56
Singapore Citizen Sponsored by SME $289.56 $289.56
Singapore Citizen Aged 40 & Above $289.56 $289.56
Long-Term Visit Pass Plus $745.56 $745.56
Singapore PR $745.56 $745.56
Singapore Citizen Aged Below 40 $745.56 $745.56

GST rate

The course fees payable above are inclusive of 9% GST rate.

Payment option

The first payment needs to be made after accepting the offer.

Allowed payment by

The course fee allows to be paid by:
Post-Secondary Education Account (Adhoc withdrawal form);
SkillsFuture Credits (SFC);
Credit card (e-payment);
Debit card (e-payment);
PayNow (e-payment).

Nett Supplementary Fees Payable

  • GPA Insurance Fee S$2.11,subject to GST,fees payable S$2.30 Allow payment by Post-Secondary Education Account (Adhoc withdrawal form); Allow payment by Post-Secondary Education Account (Standing order form)
  • Other Fees S$7.43,subject to GST,fees payable S$8.10 Allow payment by Post-Secondary Education Account (Adhoc withdrawal form); Allow payment by Post-Secondary Education Account (Standing order form)

Refund and withdrawal policy

  • Please note that a 100% refund will be available if the withdrawal request is submitted more than or equal to 14 days before the course start date.
  • Please note that a 50% refund will be available if the withdrawal request is submitted less than 14 days before the course start date.
  • Please note that no refund will be available if the withdrawal request is submitted on or after the course start date.

Remarks

Important note: All course fees are determined based on prevailing funding policies and subject to review and revision annually.