Master of Science in Social Data Analytics From University College Dublin

Program Overview

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.

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  Location

DublinIreland

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  Course Duration

12 Months

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  Tuition Fee

£ 20,500

 Score

IELTS: 6.5 TOEFL: 90

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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.

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