Students
مصاريف
USD 450
تاريخ البدء
2026-09-01
وسيلة الدراسة
متاح عبر الإنترنت بالكامل
مدة
1 semesters

لقد شاهدت 5/5 برامج/جامعات. يمكنك مشاهدة حتى 5 برامج/جامعات

أنشئ حساباً مجانياً لفتح المحتوى الكامل!

بالتسجيل، فإنك توافق على بيان الخصوصية و الشروط والأحكام.

حقائق البرنامج
تفاصيل البرنامج
درجة
ماجستير
تخصص رئيسي
تحليل البيانات
التخصص
تقنيات المعلومات والاتصالات | العلوم الاجتماعية
نوع التعليم
متاح عبر الإنترنت بالكامل
توقيت
لغة الدورة
إنجليزي
مصاريف
متوسط ​​الرسوم الدراسية الدولية
USD 450
دفعات
تاريخ بدء البرنامجآخر موعد للتسجيل
2026-09-01-
2027-03-01-
2027-09-01-
عن البرنامج

نظرة عامة على البرنامج


Introduction to the Graduate Certificate in Computational Social Science

The Graduate Certificate in Computational Social Science is designed to equip professionals with the technical skills necessary to analyze human behavior and uncover meaningful insights. This program is ideal for those in justice, social science, education, policy evaluation, or applied research who wish to enhance their skills in data analysis and interpretation.


Program Overview

The Graduate Certificate in Computational Social Science is a 12-credit hour program that can be completed in one semester for full-time students or two semesters for part-time students. The program is eligible for residency neutral rates for online students, with a tuition fee of $450 per credit hour and an online learning fee of $660 per semester for students enrolled in 6 or more credit hours.


Career Opportunities

Graduates of the Computational Social Science program can pursue various career paths, including:


  • Research Associate: $68,427 average salary
  • Policy Analyst: $85,711 average salary
  • Data Analyst: $83,661 average salary Other potential job titles include Quantitative Researcher, Behavioral Data Strategist, Social Science Researcher, Program Evaluator, and Think Tank Researcher.

Notable Industries

Graduates can find employment opportunities in industries such as:


  • Technology
  • Government
  • Academia/Higher Education
  • Public Policy
  • Nonprofit/NGOs
  • Urban Planning/Civic Technology
  • Legal/Criminal Justice
  • Think Tanks/Research Institutes

Program Details

Admissions Requirements

To be admitted to the program, applicants must submit:


  • A completed online application
  • An application fee of $50
  • A goal statement outlining personal and professional goals
  • International applicants must submit TOEFL or IELTS academic scores
  • Three letters of recommendation
  • Transcripts from each post-secondary college/university attended

Curriculum

The program requires a minimum of 12 credit hours, including:


  • Introduction to Computational Social Science (3 credits)
  • Text Analysis (3 credits)
  • Structured Data & GIS Analysis (3 credits)
  • Data Visualization (3 credits)

Tuition and Funding

The program is eligible for residency neutral rates for online students, with a tuition fee of $450 per credit hour and an online learning fee of $660 per semester for students enrolled in 6 or more credit hours. Various funding opportunities are available, including assistantships, fellowships, and scholarships.


Student Learning Outcomes

Upon completion of the program, students will be able to:


  1. Develop data literacy and technical proficiency with tools like R, Python, GIS, and data visualization to investigate complex social patterns and behavioral trends.
  2. Apply research methods to uncover insights in evidence-based decision making, such as text analysis, spatial analysis, and machine learning.
  3. Strengthen their ability to communicate findings clearly, turning raw data into meaningful stories that inform public understanding, drive policy, and improve social outcomes.

Conclusion

The Graduate Certificate in Computational Social Science is a unique program that equips professionals with the technical skills necessary to analyze human behavior and uncover meaningful insights. With its flexible online format, competitive tuition rates, and various funding opportunities, this program is an excellent choice for those looking to enhance their skills in data analysis and interpretation.


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