OER Knowledge CloudJournal ArticleExploring co-studied Massive Open Online Course subjects via social network analysisExploring co-studied Massive Open Online Course subjects via social network analysis20142014/06Jordan, Katysocial network analysisopen educationMOOCcurriculaInternational Journal of Emerging Technologies in Learning9838-411863-0383Massive Open Online Courses (MOOCs) allow students to study online courses without requiring previous experience or qualifications. This offers students the freedom to study a wide variety of topics, freed from the curriculum of a degree programme for example; however, it also poses a challenge for students in terms of making connections between individual courses. This paper examines the subjects which students at one MOOC platform (Coursera) choose to study. It uses a social network analysis based approach to create a network graph of co-studied subjects. The resulting network demonstrates a good deal of overlap between different disciplinary areas. Communities are identified within the graph and characterised. The results suggests that MOOC students may not be seeking to replicate degree-style courses in one specialist area, which may have implications for the future moves toward ‘MOOCs for credit’.yeshttp://dx.doi.org/10.3991/ijet.v9i8.3581http://dx.doi.org/10.3991/ijet.v9i8.3581