Sociology and Data Analytics - MSc Programme content
Gain the research and social and data science skills you need for a research career in the public, private, voluntary or academic sectors.
Key information
EU fees per year
€8,400
Non-EU fees per year
€19,200
NFQ Level
NFQ Level 9 Major
Duration
One year
Attendance
Full-time
Programme type
Taught, Professional / Flexible
Delivery
In-person
Start date
September
Award
Masters (MSc)
Key information
- Complete full-time in one year
- Delivered on campus
- Modules taught during autumn and spring semesters
- Submit dissertation at the end of the final semester
You will learn through a blend of
- Lectures, workshops, self-guided and lab-based learning, and hands-on activities
- Reflective practice and guided research
- Regular feedback from faculty and peers
Programme content
Core modules
- Qualitative Research Methods 1 (SO5031) provides students with a comprehensive introduction to qualitative research.
- Quantitative Research Methods 1 (SO5041) provides a thorough grounding in the methods of quantitative research.
- MSc Dissertation Workshop Proposal (SO6122) establishes a framework for students to design their dissertation research.
Electives – choose 1
- Researching Social Exclusion (SO5051)
- Life Chances: Stratification, Inequality, and Mobility in Contemporary Society (SO6062)
- Contemporary Issues in Sociological Thought (SO6112)
Books and journal articles needed for the course will be available online through the UL Glucksman Library.
For more information on each module, you can search the faculty, school and module code on UL’s Book of Modules.
Core module
- MSc Dissertation Research Workshop (SO6132) supports students beginning their dissertation research
Electives (Choose 1)
Electives (Choose 2)
- Urban Sociology And Stratification Of Place (SO6061)
- Sociology of Families and the Life Course (SO6092)
- Selected Issues in Gender, Culture and Society (SO6102)
- Qualitative Research Methods 2 (SO5042)
- Quantitative Research Methods 2 (SO5032)
Books and journal articles needed for the course will be available online through the UL Glucksman Library.
For more information on each module, you can search the faculty, school and module code on UL’s Book of Modules.
Books and journal articles needed for the course will be available online through the UL Glucksman Library.
For more information on each module, you can search the faculty, school and module code on UL’s Book of Modules.
Area(s) of interest
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