Master of Science in Social Data Analytics

Stage 1 - Core
 

• Social Simulation: Methods and Models

  SOC40640

• Research Design

  SOC41040

• Sociological Thinking in the Digital Age

  SOC41070

• Statistics & Probability

  STAT20060

• Data Programming with R

  STAT40620
   

  Stage 1 - Option
   

• Introduction to Programming I

  COMP10010

• Introduction to Programming II

  COMP10020

• Algorithmic Problem Solving

  COMP10030

• Databases and Information Systems I

  COMP20070

• Spatial Information Systems

  COMP30110

• Information Visualisation

  COMP40610

• Computational Thinking (Conversion)

  COMP47340

• Machine Learning (Blended Delivery)

  COMP47460

• Recommender Systems & Collective Intelligence

  COMP47580

• Data Science in Python (MD)

  COMP47670

• Machine Learning with Python

  COMP47750

• GIS for Environmental Assessment

  GEOG40770

• Creative Thinking & Innovation

  IA40430

• Introduction to Statistics

  POL40950

• Quantitative Text Analysis

  POL42050

• Policing & Social Conflict

  SOC40080

• Health, Illness and Society

  SOC40310

• Workshop in Qualitative Research

  SOC40330

• Nationalism and Social Change

  SOC40620

• Population and Society

  SOC40690

• Organised Violence and Society

  SOC40720

• Crit Race & Decolonial Theory

  SOC40930

• Capstone Research Project

  SOC41010

• Internship

  SOC41020

• Sciences, Technologies & Societies

  SOC41030

• Dissertation Soc Data Analytic

  SOC41050

• Comparing Healthcare Systems

  SPOL40470

• Monte Carlo Inference

  STAT40400

• Applicants will be required to hold a 2.1 honours degree (NFQ Level 8 or equivalent), preferably with a social sciences or cognate discipline component, and excellent academic references. 

• This programme includes core modules from Computer Science, which is a mathematical subject involving logical understanding and reasoning and therefore applicants must be able to demonstrate a good knowledge of mathematics.

• All applicants will be assessed on a case-by-case basis and relevant work experience will be taken into account, so that in certain cases an award at a 2.2 classification may be considered.

• Students whose first language is not English will need a recognised English language qualification. On the International English Language Testing System (IELTS) students will need to achieve an average score of 6.5 over all components and a minimum of 6.0 in each band on the Academic Version. More details are available through the UCD International Office at http://www.ucd.ie/international/study-at-ucd-global/ucdenglishlanguagerequirements/  

• These are the minimum entry requirements – additional criteria may be requested for some programmes 

MSc Social Data Analytics (W390) Full Time

EU          fee per year - € 7610
nonEU    fee per year - € 20500

***Fees are subject to change

A wide range of different organizations including government departments, semi-state bodies, private companies in IT, finance and consultancy, as well as sectors such as education, health and social welfare are now exploring the benefits of combining large and complex data resources, including administrative data, for decision making and resource use. The MSc in Social Data Analytics at the UCD is ideal for graduates who want to upskill and avail of these excellent employment opportunities. It is designed to enable individuals to combine their social science and/or cognate training with strong technical and analytical skills, and to exploit the wide range of digitised and digital data now accessible by public and private sector organisations.