Graduate Certificate in Analytics Technologies
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.
Admission Requirements
The programme is open to those with a bachelor’s degree. Candidates with other qualifications and related work experience may also apply for the programme. Each application will be reviewed by the Admissions Committee. The above are minimum requirements and do not guarantee admission.
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 January 2024 (AY2023/2024, Semester 2) course schedule, please refer to the following Annex (SoC GC-AT).
For details of the August 2024 (AY2024/2024, 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
Students who have completed the certification programme may wish to apply for admission to the Master of Science in Business Analytics (MSBA) programme.
Course Description
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.
Application Information
There are two application cycles in each Academic Year:
| Intake | Application Period | Outcome | Semester Period |
|---|---|---|---|
| January 2024 (AY2022/2023 Semester 2) | 1 Oct – 31 Oct 2023 | Mid – End Nov 2023 | 15 Jan to 11 May 2024 |
| August 2024 (AY2024/2025 Semester 1) | 1 May – 31 May 2024 | Mid – End Jun 2024 | 12 Aug to 7 Dec 2024 |
^Please refer to the University’s Academic Calendar for details on the semester and examination period.
To apply, please submit your application via the Online Applications Portal. Candidates are required to upload the following supporting documents when submitting their online application:
- A copy of bachelor’s degree certificate
- A copy of official transcript for bachelor’s degree
- A copy of identification document/ citizenship certificate/ passport/ documentary proof of permanent residence status as well as valid work pass
- Any other supporting documents such as CV or professional certificates
- Brief statement/short paragraph of objective/purpose for applying to this programme
Note:
- All supporting documents must be in English or with English translation.
- Candidates are required to produce originals of the submitted documents for the School’s verification during enrolment upon successful admission.
For enquiries, please contact socgradc@comp.nus.edu.sg.
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.
