Applied Social Data Science
Dublin, Ireland
Applied Social Data Science at Trinity College Dublin is a rigorous programme designed for students passionate about understanding the social world through advanced quantitative methods. The course emphasizes practical application of statistical, computational, and machine learning techniques to address complex political, economic, and social issues, preparing graduates for impactful careers across various sectors.
- Dublin, Ireland
- 1 year
- On Campus
- ₹15,81,472/Year
Pros & Cons
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Program Overview
Applied Social Data Science at Trinity College Dublin is a rigorous programme designed for students passionate about understanding the social world through advanced quantitative methods. The course emphasizes practical application of statistical, computational, and machine learning techniques to address complex political, economic, and social issues, preparing graduates for impactful careers across various sectors.
QS World Ranking
Not Available in Not Available
Class Size
400 Students
Key Features
Specializations Available
AI/ML, Systems, Theory, Human-Computer Interaction
Research Opportunities
Access to cutting-edge research labs and industry partnerships
Admission Requirements
TOEFL®
88.0
Key Dates
Application Start time & Deadline
Starting 2025-09-01
Apply before 2025-07-01
Program Start
Sep-25, 2026-09-01 00:00:00, 2026-01-01 00:00:00
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.
Program Highlights
- Comprehensive curriculum covering all key topics
- Hands-on projects and real-world case studies
- Expert faculty with industry experience
- Career support and placement assistance
Academic Requirements
GPA
3.5
English Language Requirements
TOEFL®
88.0
Overall ScoreAdditional Requirements
Admission to this competitive programme requires applicants to hold an upper second class honours (2:1) degree or higher from an accredited university. A background in social sciences, computer science, statistics, or related disciplines is advantageous but not mandatory. Candidates should demonstrate a strong interest in applying statistical and computational methods to social science questions. A minimum GPA of 3.3 out of 4 or equivalent is expected. Applications from individuals seeking to acquire practical skills in advanced quantitative methods are encouraged.
Course Fees
₹15,81,472/Year
Annual Fee
1 year
Total Duration
Living Costs
No Living costs available.
University Scholarships
No University Scholarships Available
External Scholarships
Rochelle Nicolette Perry Memorial Scholarship
N/A
Amount
1250 USD
Deadline
Not specified
Organization of American States (OAS) Academic Scholarship Program
N/A
Amount
Various benefits
Deadline
Not specified
Master's Scholarship
N/A
Amount
Various benefits
Deadline
Not specified
Denise Halbach Performance Scholarship
N/A
Amount
2000 USD
Deadline
15 Apr 2025
Thomas Jefferson Prize in United States History
N/A
Amount
300 EUR
Deadline
Anytime
Eligibility Requirements
No Eligibility Requirements Available
Application Process
No Application Steps Available
News About Abroad
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