Masters in Social Computing Syllabus

No fluff. To get the degree students must

• pass the Computing, Engineering, and Analytics courses (18 credits), 
• pass two of the optional courses (6 credits)
• complete a project or thesis  (6 credits)
  

Computing

• Interaction models (a distributed computing course starting with models of distributed computation and finishing with interaction protocols for social actors)
• Information & programming models (a databases course, but taking into account developments in the Semantic Web, NoSQL database, and things such as map-reduce)

Engineering

•  Service-oriented computing
•  Software engineering

Analytics

• Statistics
• Data mining

Optional

• Organizational Computing (norms, argumentation, and trust in organizations)
• Security
• Mechanism Design (incentives, auctions, and so on)
• Health Information Systems
• Social networks
• Social simulations
• Machine learning