Graduate Certificate in Analytics Technologies
Last Intake: August 2024 (AY2024/2025, Semester 1)
About the Programme
The Graduate Certificate in Analytics Technologies (GC in AT) is a certification programme that is pivotal in meeting the needs of working professionals who wish to embark on conversion to data analytics domain.
This certification programme allow students with insufficient computing background to acquire the core competencies in programming and analytics. By completing the Graduate Certificate in Analytics Technologies, candidates can also better prepare themselves before formally joining the regular Master of Science in Business Analytics programme.
Duration
Candidates who enrol for the certification programme must complete the programme within 24 months from the point of admission.
Workload
All candidates will be admitted to the graduate certificate programme on a part-time basis. The maximum and minimum number of courses a candidate can take per semester are two (8 units) and one (4 units) course(s) respectively.
Courses Offered and Schedule of Classes
All lectures, labs, tutorials, assessments/examinations will be held in campus and all students are required to attend in person.
For details of the August 2025 (AY2025/2026, Semester 1) course schedule, please refer to the following Annex (SoC GC-AT).
Award of Graduate Certificate
To be awarded the graduate certificate, the candidate must complete two courses (8 units) listed below, and obtain at least a GPA of 2.5:
- IT5001 Software Development Fundamentals
- IT5006 Fundamentals of Data Analytics
Course Details
This course aims to introduce non-computing students to the principles and concepts of software development at an accelerated pace. Students will be introduced to the basics of programming (control flow, code and data abstraction, recursion, types, OO), development methodology (ensuring correctness, testing, debugging), simple data structures and algorithms (lists, maps, sorting), and software engineering principles. Through hands on assignments and projects, students will learn good software development practices (documentation, style) and experience a typical software engineering cycle (waterfall and agile workflow).
Prerequsite: IT5001 Software Development Fundamentals
This course introduces students to the fundamental concepts in business analytics. They can learn how to apply basic business analytics tools (such as R), and how to effectively use and interpret analytic models and results for making informed business decisions. The course prepares students without any analytics background to pursue advanced courses in business and data analytics.
Programme Fees
The fees for the following courses below are (inclusive of prevailing GST):
| Course | Per Course Fee |
|---|---|
| IT5001 Software Development Fundamentals | $5,014.00 |
| IT5006 Fundamentals of Data Analytics | $6,322.00 |
Eligible Singapore Citizens and Singapore Permanent Residents enrolled may be given tuition fee subsidy by SkillsFuture Singapore (SSG).
IT5001 Software Development Fundamentals | International Participants | Singapore Citizens | Singapore PRs | Enhanced Training Support for SMEs2 | |
39 years old or younger | 40 years old or older1 | ||||
Per Course Fee, excluding prevailing GST | $4,600.00 | $4,600.00 | $4,600.00 | $4,600.00 | $4,600.00 |
Less: SSG Funding | $0.00 | $3,220.00 | $3,220.00 | $3,220.00 | $3,220.00 |
Nett Per Course Fee | $4,600.00 | $1,380.00 | $1,380.00 | $1,380.00 | $1,380.00 |
9% GST on Nett Per Course Fee | $414.00 | $124.20 | $124.20 | $124.20 | $124.20 |
Total Per Course Fee Payable, | $5,014.00 | $1,504.20 | $1,504.20 | $1,504.20 | $1,504.20 |
Less Additional Funding, if eligible under various schemes | $0.00 | $0.00 | $920.00 | $0.00 | $920.00 |
Total Per Course Fee Payable, including prevailing GST, after additional funding from the various funding schemes | $5,014.00 | $1,504.20 | $584.20 | $1,504.20 | $584.20 |
IT5006 Fundamentals of Data Analytics | International Participants | Singapore Citizens | Singapore PRs | Enhanced Training Support for SMEs2 | |
39 years old or younger | 40 years old or older1 | ||||
Per Course Fee, excluding prevailing GST | $5,800.00 | $5,800.00 | $5,800.00 | $5,800.00 | $5,800.00 |
Less: SSG Funding | $0.00 | $4,060.00 | $4,060.00 | $4,060.00 | $4,060.00 |
Nett Per Course Fee | $5,800.00 | $1,740.00 | $1,740.00 | $1,740.00 | $1,740.00 |
9% GST on Nett Per Course Fee | $522.00 | $156.60 | $156.60 | $156.60 | $156.60 |
Total Per Course Fee Payable, | $6,322.00 | $1,896.60 | $1,896.60 | $1,896.60 | $1,896.60 |
Less Additional Funding, if eligible under various schemes | $0.00 | $0.00 | $1,160.00 | $0.00 | $1,160.00 |
Total Per Course Fee Payable, including prevailing GST, after additional funding from the various funding schemes | $6,322.00 | $1,896.60 | $736.60 | $1,896.60 | $736.60 |
For details of the various schemes, please refer to:
1Mid-Career Enhanced Subsidy (MCES)
2Enhanced Training Support for SMEs (ETSS)
Note:
- Eligible applicants may use SkillsFuture Credit to pay for the programme and eligible organizations (excluding government entities) may apply for the absentee payroll funding via SkillsConnect. For more information, visit absentee payroll funding. Please note that SkillsFuture Credit may not be used to pay for Student Services Fee.
- Only courses taken on graded-basis are eligible for SSG funding.
- SSG will only fund a course once per eligible student. In the event that a student wishes to retake a course, the student will not be eligible for SSG funding for that course.
All enrolled candidates will also be required to pay the Student Services Fee of $25.70 (inclusive of prevailing GST) per semester.
The University reserves the right to review and adjust the course fees and make changes to the programme structure and requirements as necessary and accordingly without prior notice.
