Master of Software Engineering – Scalable Systems
E82481
The Master of Software Engineering – Scalable Systems is a specialized graduate program at Carnegie Mellon University focused on designing, building, and managing large-scale, high-performance software systems.
All labels observed (2)
| Label | Occurrences |
|---|---|
| MSE – Scalable Systems | 1 |
| Master of Software Engineering – Scalable Systems canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T657600 — 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 Software Engineering – Scalable Systems Context triple: [Institute for Software Research, Carnegie Mellon University, offersProgram, Master of Software Engineering – Scalable Systems]
-
A.
Master of Human-Computer Interaction in Software Engineering
The Master of Human-Computer Interaction in Software Engineering is a specialized graduate program that integrates user-centered design principles with advanced software engineering practices to prepare students for building complex interactive systems.
-
B.
Master of Financial Engineering
The Master of Financial Engineering is a specialized graduate degree program that trains students to apply advanced quantitative, mathematical, and computational methods to finance and risk management.
-
C.
Domain-Driven Design: Tackling Complexity in the Heart of Software
"Domain-Driven Design: Tackling Complexity in the Heart of Software" is a seminal software engineering book by Eric Evans that introduces the domain-driven design approach for managing complexity in large, business-focused software systems.
-
D.
Strategic Computing Initiative
The Strategic Computing Initiative was a major 1980s U.S. defense research program aimed at advancing artificial intelligence, machine vision, and high-performance computing for military applications.
-
E.
Master of Engineering
The Master of Engineering is a postgraduate professional degree focused on advanced engineering coursework and applied research, preparing graduates for specialized technical careers or further doctoral studies.
- 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 Software Engineering – Scalable Systems Target entity description: The Master of Software Engineering – Scalable Systems is a specialized graduate program at Carnegie Mellon University focused on designing, building, and managing large-scale, high-performance software systems.
-
A.
Master of Human-Computer Interaction in Software Engineering
The Master of Human-Computer Interaction in Software Engineering is a specialized graduate program that integrates user-centered design principles with advanced software engineering practices to prepare students for building complex interactive systems.
-
B.
Master of Financial Engineering
The Master of Financial Engineering is a specialized graduate degree program that trains students to apply advanced quantitative, mathematical, and computational methods to finance and risk management.
-
C.
Domain-Driven Design: Tackling Complexity in the Heart of Software
"Domain-Driven Design: Tackling Complexity in the Heart of Software" is a seminal software engineering book by Eric Evans that introduces the domain-driven design approach for managing complexity in large, business-focused software systems.
-
D.
Strategic Computing Initiative
The Strategic Computing Initiative was a major 1980s U.S. defense research program aimed at advancing artificial intelligence, machine vision, and high-performance computing for military applications.
-
E.
Master of Engineering
The Master of Engineering is a postgraduate professional degree focused on advanced engineering coursework and applied research, preparing graduates for specialized technical careers or further doctoral studies.
- F. None of above. chosen
Statements (46)
| Predicate | Object |
|---|---|
| instanceOf |
graduate degree program
ⓘ
professional master’s program ⓘ software engineering program ⓘ |
| academicLevel | graduate ⓘ |
| category |
Carnegie Mellon University graduate programs
ⓘ
software engineering education programs ⓘ |
| emphasizes |
designing fault-tolerant systems
ⓘ
engineering of scalable architectures ⓘ managing large-scale deployments ⓘ performance analysis and tuning ⓘ practical, project-based learning ⓘ |
| fieldOfStudy |
computer science
ⓘ
software engineering ⓘ |
| focusesOn |
DevOps and continuous delivery
ⓘ
cloud-native systems ⓘ distributed systems ⓘ high-performance software systems ⓘ large-scale software systems ⓘ performance engineering ⓘ reliability and availability of software systems ⓘ resilience engineering ⓘ scalable software systems ⓘ software architecture for scalability ⓘ software design for scalability ⓘ software engineering for data-intensive systems ⓘ systems monitoring and observability ⓘ |
| goal |
prepare graduates to lead large-scale software projects
ⓘ
train engineers to design scalable, reliable software systems ⓘ |
| hasAbbreviation |
MSE – Scalable Systems
ⓘ
MSE-SS ⓘ |
| hasDegreeType | Master of Software Engineering ⓘ |
| languageOfInstruction | English ⓘ |
| locatedIn |
Pittsburgh, Pennsylvania
ⓘ
United States ⓘ
linked to:
United States of America
|
| offeredBy |
Carnegie Mellon University
ⓘ
linked to:
CMU
Institute for Software Research ⓘ School of Computer Science at Carnegie Mellon University ⓘ |
| preparesFor |
cloud infrastructure engineer roles
ⓘ
senior software engineer roles ⓘ software architect roles ⓘ systems engineer roles ⓘ technical lead roles ⓘ |
| requiresBackgroundIn |
computer science or related field
ⓘ
software development experience ⓘ |
| targetAudience |
early-career software engineers
ⓘ
professionals seeking advanced software engineering training ⓘ |
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 Software Engineering – Scalable Systems Description of subject: The Master of Software Engineering – Scalable Systems is a specialized graduate program at Carnegie Mellon University focused on designing, building, and managing large-scale, high-performance software systems.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.
Institute for Software Research, Carnegie Mellon University
→
offersProgram
→
Master of Software Engineering – Scalable Systems
ⓘ
linked to: Master of Software Engineering – Scalable Systems