MSc Social Data Analytics
Graduate Taught (level 9 nfq, credits 90)
The MSc in Social Data Analytics is a one year taught programme, delivered by schools within the College of Social Sciences and Law (Sociology), and College of Science (Computer Science). It equips students with a range of social scientific, computational, informational, statistical, and visual analytics skills, for the analysis of large or complex data that arise from human interaction. Students will receive training in sociological analysis, as well as core coding and programming skills, allowing them to avail of emergent technologies to manage real-world challenges, and conduct informed decision making. Students can also opt to complete an internship as part of their studies. The MSc in Social Data Analytics is suitable for graduates of social science or computer science programmes, or related disciplines such as psychology, politics, geography, or economics who want to develop their analytical skills further.
Nearly every aspect of our lives today leaves a digital trace. Leveraging this massive sea of information, requires both a judicious understanding of how substantive and social scientific questions drive the data analysis and the skill and training to use scalable analytical tools.
On successful completion, the student should be able to:
Demonstrate a core knowledge and understanding of the fundamentals of social data analytics, data requirements and techniques
Construct, synthesize, evaluate, interpret, and report theories and evidence in an open, analytical and critical manner.
Apply problem solving skills in a variety of different contexts.
Apply appropriate social data analytic techniques to address domain specific research problems,
Discuss, present and communicate their research ideas, data and results within a group setting and in one-to-one communication.