Quantitative Methods MA(SocSci)

Program Overview

The University of Glasgow's Quantitative Methods programs integrate quantitative analysis into six social science degrees, enhancing students' understanding of the social world and equipping them with valuable data analysis skills. Graduates are well-positioned for careers in government, business, charities, academia, and journalism, where their quantitative expertise is highly sought after. The programs offer a comprehensive learning experience through lectures, seminars, tutorials, workshops, and independent research, preparing students for success in a data-driven world.

Program Outline

Degree Overview

The University of Glasgow's Q-Step Centre offers undergraduate degrees with Quantitative Methods integrated into the School of Social & Political Sciences. These programs aim to:

• Enhance your understanding of the social world
• Develop your confidence in using quantitative methods for data analysis and interpretation
• Equip you with a valuable skillset for your chosen field of study
These degrees integrate quantitative methods training into six social science programs:
• Central & East European Studies with Quantitative Methods (MA/MA(SocSci))
• Economic & Social History with Quantitative Methods (MA/LLB/MA(SocSci))
• International Relations with Quantitative Methods (MA(SocSci))
• Politics with Quantitative Methods (MA/LLB/MA(SocSci))
• Social & Public Policy with Quantitative Methods (MA/LLB/MA(SocSci))
• Sociology with Quantitative Methods (MA/MA(SocSci))

Outline

A quarter of the total study time in these programs is dedicated to quantitative methods. This builds your ability to understand quantitative evidence in academic literature and public media. Additionally, the programs offer internship opportunities with high-profile employers for valuable practical experience.

Assessment

Assessment methods vary across different programs. However, some common approaches might include:

• Examinations: Testing your knowledge and understanding of key concepts and theories.
• Essays: Assessing your ability to analyze and interpret quantitative data in written form.
• Coursework: Completing assignments and projects throughout the semester to demonstrate your learning progress.
• Presentations: Communicating your research findings and insights to classmates and faculty.
Specific assessment details are available to applicants upon request.

Teaching

The programs utilize a variety of teaching methods to ensure a comprehensive learning experience. These include:

• Lectures: Delivered by experienced faculty members, providing foundational knowledge and theoretical frameworks.
• Seminars: Smaller group discussions focusing on specific topics, encouraging active participation and critical thinking.
• Workshops: Practical sessions to develop skills in data analysis, software usage, and research methods.
• Independent Research: Opportunities to conduct your own research project under faculty supervision, culminating in a dissertation or thesis.
The programs also boast a diverse faculty with expertise in their respective fields. Their research interests and publications are readily available on the program websites for reference.

Careers

Graduates from these programs are well-positioned for diverse career paths across various sectors. Your quantitative skills are highly sought-after in fields such as:

• Government: Policy analysts, researchers, and statisticians contribute to evidence-based policymaking.
• Business: Market research analysts, data scientists, and business analysts provide crucial insights for organizations.
• Academia: Research assistants, PhD researchers, and post-doctoral researchers delve deeper into academic research.
• Journalism: Data journalists, investigative reporters, and policy analysts utilize data to inform their reporting.

Other

The following additional information is relevant:

• These programs are offered on a full-time basis, typically lasting four years for undergraduate degrees.
• The programs accept applications via the Universities & Colleges Admissions Service (UCAS).
• SQA applicants should participate in relevant Widening Participation programmes for additional support.
These programs prepare you for a fulfilling career and empower you to make a meaningful impact in today's data-driven world.