Applied Social Data Science (P.Grad.Dip)

Course Overview

The Postgraduate Diploma 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.

Applicants will be expected to hold an upper second-class Honours (2.1) degree or higher from an established university. GPA scores of at least 3.3, or equivalent, are expected from international applicants. A background in a social science discipline or computer science, statistics, or other related discipline will be an advantage but is not required.

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 here.

The Applied Social Data Science Postgraduate Diploma award from Trinity is expected to provide you with a competitive edge in the rapidly expanding job market for data scientists. You will acquire valuable skills which are sought after in the high productivity sectors, including information technology, consulting, financial services, risk-assessment, logistics, as well as positions in government, NGOs and academia.