
Overview
Digital technology has not only revolutionized society, but also the way we can study it. Currently, this is taken advantage of by the most valuable companies in Silicon Valley, the most powerful governmental agencies, and the most influential social movements. What they have in common is that they use computational tools to understand, and ultimately influence human behavior and social dynamics.
An increasing part of human interaction leaves a massive digital footprint behind. Studying it allows us to gain unprecedented insights into what society is and how it works, including its intricate social networks that had long been obscure. Computational power allows us to detect hidden patterns through analytical tools like machine learning and to natural language processing. Finally, computer simulations enable us to explore hypothetical situations that may not even exist in reality, but that we would like to exist: a better world.
This Computational Social Science Specialization offered by Coursera in partnership with UC Davis gives you easy access to some of the exciting new possibilities of how to study society and human behavior. It is the first online specialization collectively taught by Professors from all 10 University of California campuses.
Applied Learning Project
While no formal requisites are necessary to join this course, at the end you will web-scrape 'Big Data' from the web, execute a social network analysis ('SNA'), find hidden patterns with machine learning ('ML') and natural language processing ('NLP'), and create agent-based computer models ('ABM') to explore what might happen if we would change certain things in society.
Get more details
Visit official programme websiteProgramme Structure
Courses include:
- Computational Social Science Methods
- Big Data, Artificial Intelligence, and Ethics
- Social Network Analysis
- Computer Simulations
- Computational Social Science Capstone Project
Check out the full curriculum
Visit official programme websiteKey information
Duration
- Part-time
- 6 months
- 3 hrs/week
Start dates & application deadlines
Language
Delivered
Disciplines
Data Science & Big Data Artificial Intelligence Machine Learning View 75 other Short Courses in Artificial Intelligence in United StatesExplore more key information
Visit official programme websiteAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
Beginner Level
- No prior experience required.
Make sure you meet all requirements
Visit official programme websiteTuition Fee
-
International
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 6 months. -
National
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 6 months.
You can choose from hundreds of free courses, or get a degree or certificate at a breakthrough price. You can now select Coursera Plus, an annual subscription that provides unlimited access.
Funding
Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.