Overview
Data analysis skills have become a critical component of Social Sciences research and are sought after in the private sector. Social sciences disciplines have seen new data analysis techniques emerge over the last 10 years, both in terms of the range of relevant statistical models and the range of data made available for hypothesis testing. Many of these techniques are necessary for the next generation of social scientists.
Are you a social scientist with intellectual drive and curiosity, who wants to think more critically about the importance of data in your field? The Data Analytics for Social Sciences program of the University at Buffalo lets students apply a variety of methodologies to a discipline of their choice. If you are an interdisciplinary student who wants to add even more value to your social sciences training in the digital age, this program is for you.
Program Learning Outcomes
This program provides students with a truly interdisciplinary approach to data analysis by exposing them to research methods and trends across different areas of social science. By combining broad exposure to data analysis with expanded work in the discipline of your choice, you will graduate as a well-rounded candidate for professional opportunities or additional academic study.
Our ultimate goal is provide students with:
- Statistical skills to analyze data
- Computational skills to manipulate or model data
- Knowledge of methods used in a social science of the student’s choice
- Hands-on experience in applying data analysis and modeling skills on a research project
Programme Structure
Courses include:
- Statistics
- Computation programming/data manipulation
- Research methods
- Coursework in advanced data analysis within one social science discipline
- Project or thesis guidance
Key information
Duration
- Full-time
- 24 months
Start dates & application deadlines
- StartingApply anytime.
- StartingApply anytime.
Language
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Credits
Delivered
Campus Location
- Buffalo, United States
Disciplines
Liberal Arts Data Analytics View 395 other Masters in Data Analytics in United StatesWhat students do after studying
Academic requirements
English requirements
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- BA/BS in a social science discipline, though special provision may be made for students with degrees in the humanities (particularly those interested in digital humanities)
- 3.0 undergraduate GPA in social science area courses
- Two (2) letters of recommendation
- Resume or curriculum vitae (CV)
- One (1) writing sample
- Statement of educational and career goals
- International students will need to provide proof of English proficiency via standardized test scores.
Tuition Fees
-
International Applies to you
Applies to youNon-residents25740 USD / year≈ 25740 USD / year - Out-of-State25740 USD / year≈ 25740 USD / year
-
Domestic
Applies to youIn-State11310 USD / year≈ 11310 USD / year
Living costs
Buffalo
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Financing
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- 100% online application -- instant conditional offer
- Free visa & career support through our Path2Success program
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Data Analytics for Social Sciences.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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