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Students
Tuition Fee
Start Date
Medium of studying
Duration
12 months
Program Facts
Program Details
Degree
Masters
Major
Demography | Research Methods | Sociology
Area of study
Social Sciences
Course Language
English
Intakes
Program start dateApplication deadline
2024-09-01-
About Program

Program Overview


The MSc in Applied Social Data Science is a one-year, full-time program that equips students with quantitative social science research methods and advanced analytic approaches from statistics and machine learning. Graduates develop a comprehensive toolkit for research design and data analysis, preparing them for careers in data science, high-productivity sectors, government, NGOs, and academia. The program includes core modules in computer programming, statistical analysis, research design, machine learning, forecasting methods, and quantitative text analysis, culminating in a research dissertation.

Program Outline


Degree Overview:

The MSc in Applied Social Data Science is a one-year, full-time program that 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.


Outline:

The one-year program covers a wide range of core modules which will help you expand your quantitative research methods toolkit.


First Semester:

  • Computer programming
  • Applied statistical analysis
  • Research design

Second Semester:

  • Machine learning
  • Forecasting methods

Dissertation:


Teaching:

  • Weekly seminars with tutorial sessions
  • Assessed with a mix of homework, exams, and research papers.

Careers:

  • Data scientists
  • Government
  • NGOs
  • Academia

Other:

  • Students are expected to bring their own laptop (Mac/Windows/Linux) for use in seminars and tutorials throughout the course; note - tablets are not suitable.
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About University
Masters
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Diploma
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Courses

Trinity College Dublin


Overview:

Trinity College Dublin is Ireland's leading university, known for its vibrant community of staff, students, and alumni. It is considered one of the world's great universities, located in the heart of Dublin, a city renowned for its rich history and culture.


Services Offered:


Student Life and Campus Experience:

The university boasts a dynamic and energetic atmosphere, fostering a sense of community among its members. Students can expect a stimulating environment where ideas are exchanged and explored.


Key Reasons to Study There:

    Global Reputation:

    Trinity College Dublin is recognized as a leading university worldwide.

    Vibrant Community:

    The university fosters a strong sense of community among its staff, students, and alumni.

    Dublin Location:

    Situated in Dublin, students have access to a city rich in history, culture, and opportunities.

Academic Programs:


Other:

Total programs
358
Average ranking globally
#87
Average ranking in the country
#1
Admission Requirements

Entry 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 international applicants.

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