Applied Social Data Science

The M.Sc. in Applied Social Data Science is a one-year, full-time programme which introduces students to fundamentals in quantitative social science research methods and state-of-the-art analytic approaches from the fields of statistics and machine learning. Graduates of the course will acquire a rich repertoire of social scientific research design skills grounded in the scientific method and data analytic methods that are widely sought after in the private, public, and non-profit sectors.

Admission Requirements Admission to the course is competitive. Applicants will be expected to hold an upper second class honours (2:1) degree or higher from an established university. A background in a social science discipline or computer science, statistics, or other related discipline will be an advantage but is not required. Applications are expected from candidates who wish to acquire practical knowledge in using cutting-edge statistical methods to answer social scientific questions. GPA scores of at least 3.3 out of 4, or equivalent, will be expected from international applicants. English Language Requirements All applicants to Trinity are required to provide official evidence of proficiency in the English language. Applicants to this course are required to meet Band B (Standard Entry) English language requirements. For more details of qualifications that meet Band B, see the English Language Requirements page