Master of Data Science
E900829
The Master of Data Science is a postgraduate degree program focused on advanced statistical analysis, machine learning, and data-driven decision-making for real-world applications.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Master of Data Science canonical | 3 |
How this entity was disambiguated
This entity first appeared as the object of triple T11039666 — 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.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Master of Data Science Context triple: [Faculty of Science, University of New South Wales, offers, Master of Data Science]
-
A.
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.
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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.
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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D.
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.
-
E.
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.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Master of Data Science Target entity description: The Master of Data Science is a postgraduate degree program focused on advanced statistical analysis, machine learning, and data-driven decision-making for real-world applications.
-
A.
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.
-
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.
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.
-
D.
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.
-
E.
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.
- F. None of above. chosen
Statements (53)
| Predicate | Object |
|---|---|
| instanceOf |
graduate program
ⓘ
postgraduate degree program ⓘ |
| commonPrerequisiteBackground |
computer science
ⓘ
engineering ⓘ mathematics ⓘ statistics ⓘ |
| deliveryMode |
hybrid
ⓘ
on-campus ⓘ online ⓘ |
| educationLevel | master’s level ⓘ |
| field | data science ⓘ |
| focusesOn |
advanced statistical analysis
ⓘ
data-driven decision-making ⓘ machine learning ⓘ real-world applications ⓘ |
| includesComponent |
capstone project
ⓘ
industry project ⓘ research project ⓘ |
| includesTopic |
big data analytics
ⓘ
business analytics ⓘ causal inference ⓘ cloud computing for data ⓘ data engineering ⓘ data ethics ⓘ data mining ⓘ data privacy ⓘ data visualization ⓘ database systems ⓘ deep learning ⓘ experimental design ⓘ natural language processing ⓘ optimization methods ⓘ probability theory ⓘ regression analysis ⓘ responsible AI ⓘ statistical inference ⓘ supervised learning ⓘ time series analysis ⓘ unsupervised learning ⓘ |
| offeredBy | universities worldwide ⓘ |
| preparesForRole |
analytics consultant
ⓘ
applied scientist ⓘ business intelligence analyst ⓘ data analyst ⓘ data scientist ⓘ machine learning engineer ⓘ |
| primaryObjective |
preparing graduates for data-intensive careers
ⓘ
training professionals to extract insights from data ⓘ |
| requiresPriorEducation | bachelor’s degree ⓘ |
| typicalAwardedDegree |
Master of Data Science
ⓘ
Master of Science ⓘ |
| typicalDuration |
1 year full-time
ⓘ
2 years full-time ⓘ |
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.
Instruction
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.
Input
Subject: Master of Data Science Description of subject: The Master of Data Science is a postgraduate degree program focused on advanced statistical analysis, machine learning, and data-driven decision-making for real-world applications.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.