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Where Can I Find SUTD Master’s by Coursework Application Information?

Find SUTD master’s by coursework application information through the official graduate master’s directory. Select “Master by Coursework”, then open the exact degree and its Application tab. The directory also includes research master’s options, so do not treat every result as the same study route.

For a concrete example, the MTD Data Science application page says applications for September 2027 are open until 31 May 2027, as reviewed on 18 October 2026. That date belongs to this programme and intake, not every SUTD graduate qualification.

Did you know? A taught data-science degree can involve substantial project work. To understand what you would learn, read the programme overview and graduation requirements as well as the entry checklist. Admission preparation and deciding whether the curriculum suits you are two different tasks.

Find your next step

Official sources · Practical checks · What to do next

Official sources at a glance

Reader taskOfficial sourceWhat to check
Select a coursework routeSUTD: master’s directoryProgramme-level and study-mode filters
Check a specific applicationSUTD: MTD Data Science applicationIntake, prerequisites, documents and submission process
Understand the actual programmeSUTD: MTD Data Science overviewCurriculum, design project and available study modes
Check completion expectationsSUTD: Data Science graduation requirementsCredits, GPA and candidacy requirements
Match the source to the learner’s circumstances and the intended application or competition year.

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Practical checks before you act

Filter first, then read the full award name

The directory provides separate coursework and research filters, alongside full-time and part-time options. Use them to narrow your search, then confirm what the chosen programme itself offers. A filter on a directory is not proof that every listed mode exists for every degree.

Write the complete award, specialisation and intended study mode in your comparison notes. This is especially useful when several programmes share an MTD label. If you are looking for a research degree rather than a taught curriculum, use the relevant research route instead of copying a coursework application plan.

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Compare your preparation with the named programme

Data Science’s application page expects basic calculus, linear algebra, probability and statistics, and describes programming familiarity as beneficial. It also allows consideration of unrelated-degree backgrounds case by case. Neither phrase should be rewritten as an automatic offer or a blanket rejection.

Map your actual experience to the stated preparation. For example, distinguish completing a statistics module from only encountering statistical outputs at work. If evidence is missing, identify the specific question to ask admissions rather than claiming that a short course necessarily substitutes for a degree requirement.

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Read the curriculum before polishing the personal statement

The Data Science overview describes a combination of data-science and design learning with a final design project. Use that description to examine fit: which methods do you want to learn, and what kinds of problems do you hope to investigate with them?

A useful statement connects that aim to something you have already attempted. Explain the problem, your contribution and what you still need to understand. Do not turn the statement into a list of fashionable tools, or imply that every attractive career example on a programme page is a promised employment outcome.

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Follow the programme checklist, not the PhD checklist

The Data Science application page asks for two referees, a CV and a statement of at least 500 words, alongside its other supporting records. It describes batch review and possible interviews. Check the complete list and current instructions before starting the online submission.

Keep the academic records, language evidence where applicable, final statement and referee details together. Check translations and file formats against the actual page. If you previously researched SUTD’s PhD application, do not carry its different referee count or statement instructions into this application by habit.

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What to do next

Open SUTD’s master’s directory, select coursework and choose the exact programme. Read its Application, overview and graduation pages together, then build an intake-specific checklist. Ask the programme team about uncertainties before submitting.

Explore further: SUTD PhD applications — a separate research route · NTU master’s by coursework application sources. For the wider route, use the Singapore School Pathways and Calendar collection.

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Related source guide: SMU taught master’s applications.

Official sources reviewed: 18 October 2026. Recheck current instructions before acting.

Explore the connected learning guides

Choose the question that brought you here. Open one useful guide, try a small task, and stop when you have what you need.

Take one question further

The same learning habit can travel across subjects, while each subject keeps its own methods. These routes help you notice a difficulty, understand one part of it, and return to something you can do.

A word is familiar, but using it is difficult.

Move from recognising a word to retrieving it in a new context. Understand vocabulary plateaus.

Try it without the guide: Choose one word you already know. Close the guide and use it in a new sentence. Explain why it fits; try another context tomorrow.

A piece of writing has ideas, but the reader loses the thread.

Make the order of events and the links between sentences clear. Explore composition writing.

Try it without the guide: Choose one short paragraph. Read the relevant explanation, close it, and revise the paragraph. Ask someone to tell you what happened and why.

The Mathematics seems familiar, but marks still disappear.

Find the first point where the working stops being reliable. Find Secondary 4 A-Math mark leakage.

Try it without the guide: For a Secondary 4 A-Math question you have attempted, locate the first uncertain line. Repair that step, then try a comparable question without the worked answer.

A Science fact is remembered, but the explanation is incomplete.

Connect the evidence to a scientific idea and the resulting change. Follow the Primary Science learning route.

Try it without the guide: Choose a familiar Primary Science example. Explain the evidence, the idea and the result without notes. Then change one condition and explain your prediction.

Two accounts of the world seem to disagree.

Check the question, source, date and evidence before combining claims. Explore the World Knowledge research library.

Try it without the guide: Take one claim. Find the source best placed to support it, note its date, and state what remains uncertain. Return to your original question.

There is plenty of help, but independence is hard to see.

Check what the learner can understand and do after support is removed. Understand how education works.

Try it without the guide: Choose one small task the child has practised. Agree on a calm, brief attempt without prompts. Use what happens to choose one next step, then stop.

For the structure behind these connections, read the eduKateSingapore runtime manifest and the eduKate ecosystem boot contract. The reader map describes public navigation; those manifests preserve the wider ownership and return rules.

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