Overview
The Quantitative Methods in the Social Sciences at The City University of New York provides students with a sophisticated understanding of data analysis within the context of social research. This master level programme is designed to bridge the gap between theoretical social science and practical statistical application. Students develop the necessary skills to interpret complex datasets and contribute to evidence-based policy making.
By engaging with diverse analytical frameworks, participants learn to address pressing societal challenges through empirical investigation. The curriculum emphasises the importance of ethical data usage and the development of robust research methodologies. Graduates are prepared to navigate the evolving landscape of social data in both academic and professional environments.
Why Quantitative Methods in the Social Sciences at The City University of New York?
Choosing this programme allows students to benefit from the extensive resources and academic reputation of a major public institution. The university provides a collaborative environment where researchers from various disciplines converge to solve social problems. Students gain access to specialised software and data repositories that enhance their practical learning experience.
The faculty consists of experienced researchers who are leaders in fields such as sociology, political science, and economics. This interdisciplinary approach ensures that students receive a well-rounded education that is applicable across multiple sectors. The institution's location also offers unique opportunities for networking within a global hub of social and economic activity.
Tuition Fee Breakdown
- International fee: USD 855 per credit
- National fee: USD 855 per credit
- Local fee: USD 470 per credit
Visit the Fees and Funding section for a breakdown in your local currency.
Syllabus
The curriculum is structured to provide a deep dive into statistical techniques and research strategies. Modules may include:
- Quantitative Methods
- Research Design
- Statistical Analysis
- Data Visualisation
- Social Theory
- Applied Econometrics
- Survey Research
- Demographic Methods
Careers with Quantitative Methods in the Social Sciences
Graduates of this programme are highly sought after for roles that require sophisticated data interpretation and strategic thinking. Many alumni find success as data analysts, policy advisors, and research consultants within government agencies and non-profit organisations. The technical proficiency gained during the course is also valuable in the private sector, particularly in market research and social media analytics.
The programme provides a strong foundation for those wishing to pursue further doctoral studies or academic research positions. By mastering quantitative tools, graduates can influence public discourse and contribute to the development of effective social interventions. The diverse skill set acquired ensures versatility in a job market that increasingly values data-driven insights.
Programme Structure
Courses include:- Sociological Statistics
- Quantitative Research Methods
- Methods of Demographic Analysis
- Demography
- Spatial Data Analysis
- Economics for Everyone
Key information
Duration
- Full-time
- 12 months
Start dates & application deadlines
- Starting
- Apply before
-
Language
Credits
Delivered
Campus Location
- New York City, United States
Disciplines
Social Work View 574 other Masters in Social Work in United StatesWhat students do after studying
Academic requirements
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- Hold a bachelor’s degree from an accredited college or university in the United States, or its equivalent abroad, with a cumulative overall GPA of 3.0 (B average) or higher.
- Completion of an introductory statistical methods course at the undergraduate level and preferably a research methods course.
- Prior courses in sociology, psychology, educational psychology, or other social science fields beyond the introductory level are expected.
- Submit transcripts of all college and graduate work.
- Submit two letters of recommendation, preferably from academics.
- Submit a personal statement of up to 1,000 words, explaining why you want to obtain this degree and how your interests and academic/professional background are relevant to the degree; applicants are also encouraged to submit writing samples, but this is not required.
- Submit Test of English as a Foreign Language (TOEFL) scores for students who have not earned a degree in an English-speaking country.
Tuition Fees
-
International Applies to you
Applies to youNon-residents25650 USD / year≈ 25650 USD / year - Out-of-State25650 USD / year≈ 25650 USD / year
-
Domestic
Applies to youIn-State14100 USD / year≈ 14100 USD / year
Additional Details
- Local students: $5,545 / semester
Living costs
New York City
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
Need help with your student visa?
Get personalized guidance from a certified VFS Global advisor and save 20% through Studyportals.
- Avoid common visa mistakes and delays
- Know exactly what documents you need
- Get a clear checklist tailored to your situation
In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
Scholarships Information
Below you will find Master's scholarship opportunities for Quantitative Methods in the Social Sciences.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility