About the Programme
The computing foundation graduate certificate is an essential certification programme that is pivotal in meeting the needs of the working professionals who wish to embark on conversion to the computing field.
This certification programme provides a systematic pathway for applicants with insufficient computing background to acquire the core competencies in computing. By completing the Graduate Certificate in Computing Foundations, candidates can also better prepare themselves before formally joining the regular computing master's degree programme. These candidates can acquire the necessary fundamental computing skills by reading a set of foundation modules that would serve as bridging modules. The modules offered in this graduate certificate programme are instrumental in either conversion to a computing career or career advancement even without embarking on the MComp programme.
In this programme, courses will be conducted by our faculty members who are scholars, researchers, and thought leaders in their field of expertise.
Certificate for Enrolment
Candidates who enrol in this certification programme will need to complete the following modules:
Graduate Certificate in Computing Foundations (CF)
IT5001 Software Development Fundamentals
This module 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 programing (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, student will learn good software development practices (documentation, style) and experience a typical software engineering cycle (waterfall and agile workflow).
Choose any two of the following modules:
IT5002 Computer Systems and Applications
This module aims to introduce non-computing students to (a) the common principles and concepts in computer systems: abstraction, layering, indirection, caching, hierarchical naming, prefetching, pipelining, locking, concurrency; (b) the inner workings of a computing device, including hardware (CPU, memory, disks), operating systems (kernels, processes and threads, virtual memory, files), and applications (Web, databases).
IT5003 Data Structures and Algorithms
This module introduces non-computing students to efficient computational problem solving in an accelerated pace. Students will learn to formulate a computational problem, identify the data required and come up with appropriate data structures to represent them, and apply known strategies to design an algorithm to solve the problem. Students will also learn to quantify the space and time complexity of an algorithm, prove the correctness of an algorithm, and the limits of computation. Topics include common data structures and their algorithms (lists, hash tables, heap, trees, graphs), algorithmic problem solving paradigms (greedy, divide and conquer, dynamic programming), and NP-completeness.
IT5004 Enterprise Systems Architecture Fundamentals
This module aims to equip non-computing students with fundamental knowledge in architecting and designing modern Enterprise Systems in organisations that can be reasonably complex, scalable, distributed, component-based and mission-critical. Students will develop an understanding of high-level concepts such as enterprise architecture and software architecture. They will them move on to acquire fundamental systems analysis and design techniques such as object-oriented requirements analysis and design using the Unified Modelling Language.
For detailed descriptions of the modules, please refer to Annex (SoC GC-CF).
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.
Candidates who enrol for the certification programme must complete the programme within 36 months from the point of admission.
All candidates will be admitted to the graduate certificate programme on a part-time basis. The maximum and minimum number of modules a candidate can take per semester are three (12 modular credits) and one (4 modular credits) module(s) respectively.
Award of Graduate Certificate
To be awarded the graduate certificate, the candidate must complete three modules (12 modular credits) listed in the respective graduate certificate module listing, and obtain at least a CAP of 2.5.
Students who have completed the certification programme may wish to apply for admission to the MComp programme.
There are two application cycles in each Academic Year:
|Intake||Application Period||Outcome||Semester Period|
|January 2019 (Semester 2)||15 Oct to 7 Nov 2018||End Nov 2018||14 Jan to 11 May 2019|
|August 2019 (Semester 1)||1 May to 31 May 2019||Mid June 2019||12 Aug - 7 Dec 2019|
* 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 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
- Any other supporting documents such as CV or professional certificates
- Brief statement of objective/purpose for applying to this programme.
- 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 firstname.lastname@example.org.
The fee for each module is $4,600 (exclusive of prevailing GST). All enrolled candidates will also be required to pay the Student Services Fee of $25.23 (inclusive of prevailing GST) per semester.
Eligible Singapore Citizens and Singapore Permanent Residents enrolled may be given tuition fee subsidy by SkillsFuture Singapore (SSG).
Per Module Basis
|International Participants||Singapore Citizens||Singapore PRs||Enhanced Training Support for SMEs3|
|39 years old or younger||40 years old or older1||Eligible for WTS2|
|Less: SSG Grant Amount||$0.00||$3,220.00||$3,220.00||$3,220.00||$3,220.00||$3,220.00|
|7% GST on Nett Fee||$322.00||$96.60||$96.60||$96.60||$96.60||$96.60|
|Total Nett Fee Payable, Including GST||$4,922.00||$1,476.60||$1,476.60||$1,476.60||$1,476.60||$1,476.60|
|Less Additional Funding if Eligible Under Various Schemes||$0.00||$0.00||$920.00||$1,150.00||$0.00||$920.00|
|Total Nett Fee Payable, Including GST, after additional funding from the various funding schemes||$4,922.00||$1,476.60||$556.60||$326.60||$1,476.60||$556.60|
For details of the various schemes, please refer to:
- 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 modules taken on graded-basis are eligible for SSG funding.
- SSG will only fund a module once per eligible student. In the event that a student wishes to retake a module, the student will not be eligible for SSG funding for that module.
All fees quoted are exclusive of prevailing GST, unless otherwise stated.
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.