Overview
Applied Social Data Science is offered by Trinity College Dublin. The MSc 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.
Key Facts
The programme is based in Ireland’s highest ranked Department of Political Science. Our department enjoys a strong reputation internationally for its staff who rely on quantitative research methods, and who are well published in leading peer-reviewed academic journals. Staff research agendas include core skills offered in the Applied Social Data Science programme, including computer programming, statistical modelling, machine learning, quantitative text analysis and forecasting.
- You will acquire fluency in widely used programming languages and gain the skills to collect and manage big data-sets.
- You will learn how to apply and critically assess computational and statistical models to solve real-world social problems.
- Seminars and class discussions will provide you the opportunities to enhance your critical thinking skills and acquire an in-depth understanding of quantitative social scientific research.
Programme Structure
Courses include:
- First Semester: To start the course, you will take modules in computer programming, applied statistical analysis and research design.
- Second Semester: Next, you will dig deeper by taking modules in machine learning, forecasting methods, and quantitative text analysis.
- Dissertation: Finally, you will complete a key piece of research related to your field of study over the summer months.
Key information
Duration
- Full-time
- 12 months
Start dates & application deadlines
- Starting
- Apply before
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Language
Credits
Delivered
Disciplines
Data Science & Big Data Social Policy View 34 other Masters in Data Science & Big Data in IrelandWhat students do after studying
Academic requirements
English requirements
Other requirements
General 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 internat
Student insurance
Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items, so make sure your student insurance ticks all the following:
- Additional medical costs (i.e. dental)
- Repatriation, if something happens to you or your family
- Liability
- Home contents and baggage
- Accidents
- Legal aid
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Tuition Fee
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International
15170 EUR/yearTuition FeeBased on the tuition of 15170 EUR per year during 12 months. -
EU/EEA
13080 EUR/yearTuition FeeBased on the tuition of 13080 EUR per year during 12 months.
Living costs for Dublin
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Applied Social Data Science.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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