Data Science and Analytics programme
E900824
The Data Science and Analytics programme is an undergraduate degree at the National University of Singapore that trains students in statistical analysis, machine learning, and computational methods for extracting insights from data.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Data Science and Analytics programme canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T11039578 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
Target entity: Data Science and Analytics programme Context triple: [Faculty of Science, National University of Singapore, hasProgramme, Data Science and Analytics programme]
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A.
Certificate in Data Science
The Certificate in Data Science is a graduate-level credential program focused on foundational data analysis, statistical methods, and computational techniques for extracting insights from data.
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B.
Master of Business Analytics
The Master of Business Analytics is a specialized graduate degree focused on applying advanced data science, statistical modeling, and quantitative methods to solve complex business problems and support data-driven decision-making.
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C.
School of Data Science
The School of Data Science at the University of Virginia is an academic unit dedicated to education and research in data science, analytics, and related computational fields.
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D.
School of Data Science
The School of Data Science is an academic unit of Yokohama City University specializing in education and research in data analysis, statistics, and related computational fields.
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E.
Master of Information and Data Science
The Master of Information and Data Science is a professional graduate degree program focused on advanced data science methods, analytics, and their real-world applications in industry and research.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Data Science and Analytics programme Target entity description: The Data Science and Analytics programme is an undergraduate degree at the National University of Singapore that trains students in statistical analysis, machine learning, and computational methods for extracting insights from data.
-
A.
Certificate in Data Science
The Certificate in Data Science is a graduate-level credential program focused on foundational data analysis, statistical methods, and computational techniques for extracting insights from data.
-
B.
Master of Business Analytics
The Master of Business Analytics is a specialized graduate degree focused on applying advanced data science, statistical modeling, and quantitative methods to solve complex business problems and support data-driven decision-making.
-
C.
School of Data Science
The School of Data Science at the University of Virginia is an academic unit dedicated to education and research in data science, analytics, and related computational fields.
-
D.
School of Data Science
The School of Data Science is an academic unit of Yokohama City University specializing in education and research in data analysis, statistics, and related computational fields.
-
E.
Master of Information and Data Science
The Master of Information and Data Science is a professional graduate degree program focused on advanced data science methods, analytics, and their real-world applications in industry and research.
- F. None of above. chosen
Statements (43)
| Predicate | Object |
|---|---|
| instanceOf |
analytics degree programme
ⓘ
data science degree programme ⓘ undergraduate degree programme ⓘ |
| aimsTo |
prepare graduates for data-intensive roles
ⓘ
train students in extracting insights from data ⓘ |
| country | Singapore ⓘ |
| degreeType | Bachelor's degree ⓘ |
| educationalLevel | undergraduate ⓘ |
| fieldOfStudy |
analytics
ⓘ
computer science ⓘ data science ⓘ statistics ⓘ |
| focusesOn |
computational methods
ⓘ
data analytics ⓘ data science ⓘ data-driven decision making ⓘ machine learning ⓘ statistical analysis ⓘ |
| goal |
develop quantitative and computational skills in students
ⓘ
enable students to extract insights from complex datasets ⓘ |
| hasComponent |
computing labs
ⓘ
machine learning coursework ⓘ practical training ⓘ statistical coursework ⓘ theoretical training ⓘ |
| languageOfInstruction | English ⓘ |
| locatedInCity | Singapore NERFINISHED ⓘ |
| locatedInCountry | Singapore NERFINISHED ⓘ |
| locatedInInstitution | National University of Singapore NERFINISHED ⓘ |
| offeredBy | National University of Singapore NERFINISHED ⓘ |
| preparesFor |
business analytics roles
ⓘ
data analyst roles ⓘ data scientist roles ⓘ machine learning engineer roles ⓘ |
| shortName | DSA programme NERFINISHED ⓘ |
| teaches |
data management
ⓘ
data visualization ⓘ predictive analytics ⓘ programming for data analysis ⓘ statistical modelling ⓘ |
| usesMethodsFrom |
computing
ⓘ
machine learning ⓘ statistics ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Subject: Data Science and Analytics programme Description of subject: The Data Science and Analytics programme is an undergraduate degree at the National University of Singapore that trains students in statistical analysis, machine learning, and computational methods for extracting insights from data.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.