Advanced Diploma in Machine Learning

Offered by School of InfoComm Technology

Post-Diploma / 1.5 years / TGS-2021002417

Note: Entry to this programme is via our Specialist Diploma in Data Analytics (SDDA) programme. Please apply via the Specialist Diploma in Data Analytics (SDDA) programme.
Course Information
Learning Outcomes
Course Schedule
Lesson Plan
Certification
Entry Requirements
Course Fees

Course Information

Machine Learning has become the buzzword today, and is considered as the brain behind businesses that leverage on its immense capabilities of making informed decisions without the need for human intervention. With industries seeking to apply this branch of Artificial Intelligence into their systems, there is no better time than now to learn Machine Learning.

Note: Entry to this programme is via our Specialist Diploma in Data Analytics programme. Please apply via the Specialist Diploma in Data Analytics programme.

Learning Outcomes

Develop your own Machine Learning and Deep Learning models to build value-driven business solutions. This programme helps you to acquire the fundamental competencies to effectively perform data analysis on business data. You will also have the opportunity to further broaden your knowledge and skills in machine learning through hands-on implementation of machine learning and deep learning models.

Course 
Schedule

Monday, 6:00 pm to 10:30 pm
Thursday, 6:00 pm to 10:30 pm
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Course Start Date: TBC
Application Period: Entry to this programme is via our Specialist Diploma in Data Analytics (SDDA) programme. Please apply via the Specialist Diploma in Data Analytics (SDDA) programme.
Application Outcome: One month after application closes
Class Day(s): Mon and Thu
Time: 6pm to 10:30pm
Delivery Mode: F2F & HBL (Sync)
Venue: Ngee Ann Polytechnic/Online

Ngee Ann Polytechnic reserves the right to reschedule / cancel any programme, modify the fees and amend information without prior notice.

Lesson Plan

Certification

1 Advanced Diploma in Machine Learning

Entry Requirements

Applicants with any of the following qualifications are invited to apply for the course:

Entry to the advanced diploma programme in Machine Learning is via our Specialist Diploma in Data Analytics programme. Please refer to our Specialist Diploma in Data Analytics programme page for more information.

Course Fees

Funding period for this course is from 1 Apr 2021 to 30 Sep 2024.

Note:

  • The fees below are per semester. For full course fees throughout the semesters, refer here.
  • The fees below are inclusive of GST.
  • The fees below are determined based on prevailing funding policies and subject to review and revision.

SkillsFuture Credit
This course is eligible for SkillsFuture Credit.

All Singaporeans aged 25 years and above can use their $500 SkillsFuture Credit from the government to pay f​or a wide range of courses. The credits can be used on top of existing course fee subsidies/funding. This is only applicable for self-sponsored applicants and must be applied via the SkillsFuture Portal. More details on the SkillsFuture Credit Claims will be advised upon admission into the course. Find out more about SkillsFuture Credit here.

Union Training Assistance Programme (UTAP)
NTUC members enjoy 50% unfunded course fee support for up to $250 each year (or up to $500 for NTUC members aged 40 years old and above) when you sign up for courses supported under UTAP (Union Training Assistance Programme). Please visit e2i’s website to find out more.

Skills-Based Modular Courses (SBMCs) are bite-sized part-time courses for individuals to acquire new skills or deepen relevant skills, without the need to pursue a full diploma. Refer here for course fees for SBMCs.

Applicants / Eligibility Fees
Singapore Citizens (SC) below the age of 40 years$556.14
Singapore Citizens (SC) aged 40 and above$370.76
Singapore Permanent Residents (PR)$1483.02
Enhanced Training Support for SME Scheme (for SC & SPR)$382.88
Others (and Repeat Students)$3707.56
$0.00