About Course
Quantum computing is rapidly transitioning from theoretical research to commercial reality, driven by accelerating investment from global technology leaders and early adoption across finance, pharmaceuticals, logistics, and advanced manufacturing. Organisations now face a widening skills gap as demand grows for professionals who can understand quantum principles, interpret algorithmic capabilities, and meaningfully engage in emerging use cases.
This course equips learners with the mathematical, physical, and computational foundations necessary to navigate the quantum computing landscape. Participants develop fluency in quantum mechanics concepts relevant to computation, learn how qubits behave and how quantum circuits are constructed, and build the algorithmic reasoning required to analyse and evaluate quantum approaches alongside classical methods.
By integrating theory, hands‑on exercises, and exposure to well‑established algorithms such as Deutsch‑Jozsa, Bernstein‑Vazirani, and Grover’s search, the course bridges the gap between abstract quantum theory and practical application. It empowers engineers, developers, researchers, and technical practitioners to actively participate in quantum‑enabled innovation as industries move toward commercial‑scale deployment.
About the Pathway
This course is part of the Quantum Computing Development Programme, that equips learners with quantum computing foundations and practical development skills, progressing from theory and programming to hands‑on laboratory experimentation to prepare learners for entry-level roles.
sequence | Course |
|---|---|
1 | Quantum Foundations and Algorithms |
2 | |
3 |
Skills you’ll gain
Programming and Software Development
Cloud Computing
Quantum Algorithms
Quantum Foundations
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Who Should Attend
This course is designed for:
Early‑career technical professionals who want to learn the foundations of quantum computing and progress towards building new expertise in advanced computation.
Mid‑career engineers, developers, and researchers looking to pivot into or expand into quantum computing.
Graduate‑level learners and researchers who need deeper applied knowledge of quantum concepts.
Job functions including software engineers, data scientists, algorithm developers, systems architects, and R&D staff across computing, finance, healthcare, energy, and logistics.
Professionals involved in next‑generation solutions, advanced modelling, or computational innovation across all industries where quantum advantage may emerge.
Minimum Entry Requirements
- A bachelor’s degree (or equivalent qualification) in Computer Science, Engineering, Physics, Mathematics, or a closely related discipline.
- Familiarity with linear algebra (vectors, matrices, eigenvalues), probability, and basic complex numbers.
- Basic programming experience in Python or another high-level language.
- For applicants without a strong quantitative background, evidence of equivalent industry experience in data science, software engineering, or related technical domains may be considered.
- Participants will need to be enrolled in Quantum Computing Development as a prerequisite.
Learning Outcomes
By the end of the course, participants will be able to:
Apply the foundational mathematical and physical principles of quantum computing
- Use the core mathematical framework that underpins quantum computation.
- Explain key quantum mechanics concepts essential for quantum information processing.
- Develop quantum‑aligned computational thinking through logic‑gate manipulation and reasoning exercises.
Analyse and build quantum circuits and algorithmic structures
- Describe qubit behaviour and interpret how quantum gates operate within circuits.
- Evaluate the computational advantages of quantum algorithms by comparing complexity with classical approaches.
- Construct and use basic quantum circuits in algorithms such as Deutsch‑Jozsa, Bernstein‑Vazirani, and Grover’s search.
Translate quantum reasoning into industry‑relevant applications
- Apply quantum algorithmic thinking to practical scenarios across finance, optimisation, modelling, and secure communication.
- Build a foundational skill set that supports further progression into R&D, technology adoption, and domain‑specific quantum innovation.
Teaching Team
Dr David Sanan
Assistant Professor, Singapore Institute of Technology
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Dr Vivek Balachandran
Associate Professor, Infocomm Technology, Singapore Institute of Technology
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Dr R. Chandrashekar
Assistant Research Scientist, NYU Shanghai
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Course Details
Learning Hours
Total: 60 hours
- Classroom Facilitated Training: 6 hours
- Live online sessions: 18 hours
- Self-paced online content: 32 hours
- Online assessment: 4 hours
Certificate and Assessment
A Certificate of Attainment will be issued to participants who:
- Attend at least 75% of the course
- Undertake and pass non-credit bearing assessment during the course
Participants who meet the attendance requirement but do not pass the assessment will receive a Certificate of Participation.
Assessment Plan
Mode of Assessment: Online Test
Fee Structure
The full fee for this course is S$7,194.00.
| Funding Category | Eligible Funding | Course Fees Payable After Funding |
|---|---|---|
| Singapore Citizen (Below 40) | 70% | S$2,158.20 |
| Singapore Citizen (Above 40) Funded under SkillsFuture Mid-Career Enhanced Subsidy (MCES) | 90% | S$838.20 |
| Singapore PR / LTVP+ Holder | 70% | S$2,158.20 |
| Non-Singapore Citizen | Not Eligible | S$7,194.00 |
Note:
- All fees above include GST. GST applies to individuals and Singapore-registered companies.
For Organisations
Interested in this course for your business or team?
Tailored to your organisation's specific training needs, we can help you design and develop custom courses to grow key talent and build specialist expertise to meet the future demands of work.
Course Runs
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