Graduate Diploma in Systems Analysis

Next Intake	Feb 2026 (Full-Time)
Duration	Full-time 1 year
Application Timeline	Admissions into the GDipSA programme is competitive. Eligible students will be offered admissions on a first-come first-served basis. Applications for August 2026 admissions into the full-time GDipSA programme commence on 1 October 2025 and should be submitted before 15 April 2026 for International Students and 22 April 2026 for Singapore Citizens / Singapore Permanent Residents. *The dates above are subjected to changes.
Aptitude Test	August 2026 intake: 17 April 2026 *Applicants based in Singapore are to take the test in NUS-ISS. Applicants based overseas can take the test online. The dates above are subjected to changes.
Download Brochure	English
Info-session	Click here for dates
Enquiry	iss-admissions@nus.edu.sg

Having graduated over 56 batches of students, many of our graduates are now prominent senior IT professionals, who have benefited from this programme.

Students who embark on this hands-on programme will be exposed to lectures, workshops, laboratory sessions, projects and a 5-month internship. We have designed numerous projects into the programme. The aim is to equip them with the necessary foundation to code, test, implement and troubleshoot IT solutions covering web and mobile platforms. 

By the end of the programme, you will be equipped with sought-after technical skills and valuable soft skills.

Graduates of this programme may choose to upgrade your skills after gaining a few years of work experience in the IT industry. You will be fully eligible to take up a Master degree with NUS and universities. Our Master of Technology programmes, offered in full-time and part-time formats, are designed for working IT professionals and managers who wish to advance their knowledge and skills.

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Learning Journey

 

Projects and internships provide opportunities for students to put into practice what they have learnt in the modules, from analysis, design, implementation, testing, to deployment.

Our projects span across the latest technology in IT

Project	Learning Outcomes
Web Application Project with Java Enterprise Technologies Students will design and develop a full-stack Java enterprise web application using frontend technologies (HTML, CSS, JavaScript), a Java Spring Boot backend, and a relational database implemented with SQL.	Build a working full-stack application Integrate frontend, backend, and database components into a cohesive and functional system
ADLC (Application Development Lifecycle) Project Students will work on a realistic, simulated case study to experience the Application Development Life Cycle (ADLC) from idea to design-ready specification.	Define a product idea, problem, and target users Gather and analyse requirements Design user-centred UI/UX Make data-driven design decisions Translate requirements into a scalable and robust software design for implementation
DevOps Project Students will experience how the project team packages and delivers software in a structured way - similar to how companies release updates.	Use version control to manage code and collaborate effectively Apply automated build and testing processes, including CI/CD (Continuous Integration and Deployment)
Machine Learning Project I Students will build a simple image recognition system that can classify images into categories. They'll also learn how to prepare images for training and improve their results using common techniques.	Understand how image classification works (e.g., neural networks) Prepare and process image data for model training Train a model and interpret results using charts and plots
Machine Learning Project II Students will work with real datasets and build different machine learning models to compare results and make observations about model performance.	Build and evaluate machine learning models using Python Compare results across different approaches Learn how to interpret outputs and make practical conclusions
Mobile Solutions with AI & Agents Project Students will build an end-to-end application with an Android mobile app and backend services, enhanced with AI features (and a simple AI "agent" workflow). The result is a modern, real-world style solution: mobile + backend + AI.	Build a mobile app that connects to backend APIs Design and build an autonomous AI Agent Integrate an AI-enabled feature and a simple agent workflow Expose AI/agent functions as services that can be reused by mobile or web apps
Capstone Project This is the final team project that brings everything together. Students will work like a real project team — planning, building, integrating, and presenting an end-to-end solution.	Develop an integrated solution (web/mobile, backend, database, and AI where relevant) Work as a team in short development cycles with regular feedback and continuous improvement (Agile approach) Gain exposure to basic cloud deployment and "release-ready" thinking
Internship Project During your 5-month internship, you will develop the versatility and flexibility to handle the unpredictable challenges of user requirements, project schedules and end product expectations of any real-life project.	Adapt quickly to new working cultures Pick up new technical skills and domain knowledge where required Propose feasible IT solutions, develop it, and deliver them to the satisfaction of users

5-month Internship

The 5-month internship is a crucial and prized component of the GDipSA programme. Here, students are assigned to companies to work in real-life settings. Students develop the versatility and flexibility to handle the unpredictable challenges of user requirements, project schedules and end-product expectations of any real-life project. They will learn to adapt quickly to new working cultures, pick up new technical skills and domain knowledge where required, and propose feasible IT solutions, develop and deliver them to the satisfaction of users.

Past internships undertaken by our students include placements at Accenture, Land Transport Authority (LTA), ByteDance, Ernst & Young, OCBC Bank, Singapore Airlines, and more. 

Read more on Internship & Placements

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The tuition fees for Academic Year 2025/2026 for the above MOE-subsidised programmes are published on Registrar’s Office website here. Tuition fees are reviewed yearly and thus, subjected to revisions.  

Notes:

1. For students who are Singapore Citizens and Singapore Permanent Residents, the tuition fees quoted here are subsidised by the Singapore government (through the Ministry of Education, MOE) and are exclusive of prevailing GST. The applicable GST for these students is subsidised by MOE.
2. International students are not eligible for MOE subsidy. The prevailing GST (currently 9%) on the fees payable will be borne by International Students. The tuition fees quoted here are inclusive of the prevailing 9% GST. 
3. The miscellaneous fees payable are set out here.
4. With effect from 1 January 2024, individuals using credit/debit card and eWallet to make payment via NUSFastPay will have to pay a 1% processing fee.

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Applicants must possess the following pre-requisites:

• Bachelor's degree from a recognised university
• Proficiency in the English Language (written and spoken)*
• Some work experience preferred

(*) English Language Proficiency

Applicants who graduated from universities where English is not the medium of instruction should submit TOEFL (Test of English as a Foreign Language) or IELTS (International English Language Testing System) score as evidence of their proficiency in the English language.

• TOEFL : Paper-based test (580)
               : Computer-based test (237)
                 Internet-based test (85)
• IELTS   : Result of 6.0

Note: Institution code of NUS-ISS for TOEFL is 2432

TOEFL and IELTS are only valid for two years after the test and the validity should not expire before the beginning of the application period for the coursework programme. NUS only accepts TOEFL iBT scores from a single test date, not MyBest scores. TOEFL iBT Home Edition is not accepted.

All applicants are required to take an aptitude test. Shortlisted applicants will also need to attend an interview.

GDipSA Alumni's pathway into MTech Programmes

GDipSA Alumni can apply to NUS-ISS Master of Technology programmes through the following pathways:

* Subject to assessment by NUS-ISS

Note: Students who obtain admission into the MTech Software Engineering may request to be exempted from the Software Analysis and Design and Essential Practices for Agile Teams courses in the Designing Modern Software Systems GradCert. The net applicable fees for the MTech programme will be reduced to exclude the fees of the exempted courses; subsidies will also commensurate with the net applicable fees for the programme.

Find your fit with new opened doors

There is opportunity in Singapore for most areas of IT. What you learn in terms of IT skills is not as important as what you do with it. It is the attitude and the ability to learn from mistakes, and to contribute back to the company that you work for that is likely to make more of a difference than specific IT skills.

There are two main paths for advancement in IT - either technical or management. Technical means you continue to deepen your technical area in a domain (such as system architecture, or software engineering, etc.) and you become an expert in those areas. The other is management, where you can focus on project management, outsourcing, etc.

Our internship companies often tell us that if we can give them good students as interns, it is very likely they will get a job offer at the end of the internship.

Upon graduation, you will be trained IT specialists and leaders in real-world operating environments, equipped with invaluable problem solving, solutioning, and critical thinking skills. This would make you highly sought-after candidates of dynamic and successful multi-national corporations and institutions.

The NUS-ISS Career Services Office helps students to match jobs based on their skills and experience. There will be bi-yearly Career Fairs held for students and graduates to network with employers. However, successful employment will depend on the employers.

The average starting salary of an IT professional depends on the degree and your previous working experience. For fresh graduates with no work experience, the starting salary ranges from S$3,600 to S$3,800. Graduates with more than 3 years of work experience can expect a starting pay of S$4,000 and above.

The most important skill is to get the job done and be persistent. You need to be broad-based and the technology does not matter.

You can get some salary benchmarks from these sites:

• Salary.sg
• Hays.com Salary Guide
• Kelly Services Salary Guide