Data Analytics in the Social Sciences

Data Analytics in the Social Sciences is a program taught at Christopher Newport University, USA. Intake: Fall, Spring. The program is offered in campus-based modes with full-time options.

Overview of the Data Analytics in the Social Sciences Degree

The Data Analytics in the Social Sciences degree at Christopher Newport University provides students with a comprehensive foundation in both data analysis and social science principles.

The program is designed to equip students with the skills necessary to extract insights from various data sets, focusing on how this information can influence behaviors, policies, and social structures.

Students engage in both theoretical and practical applications of data analytics, learning to utilize cutting-edge tools and software to analyze trends and patterns within social phenomena.

Course Structure

The curriculum typically comprises core courses in statistics, research methodology, and data management, supplemented by electives that allow students to delve into specific areas such as public policy, education, or health studies. Projects and case studies play a vital role in the learning process, enabling students to apply theoretical concepts to real-world issues. Through collaborative work and individual assignments, students gain exposure to various analytic techniques and the ethical implications of data use in social contexts.

Skills Development

Students will develop critical thinking, problem-solving, and quantitative skills, essential for interpreting social data effectively. Furthermore, they will enhance their abilities in data visualization and communication, allowing them to present findings in a way that is accessible to diverse audiences. Studying in the university’s country offers unique exposure to social science case studies that reflect the rich cultural, economic, and political landscape, providing context that enhances learning.

The minimum requirements for admission in Data Analytics in the Social Sciences at Christopher Newport University for all applicants (Domestic or International) are:

• program specific academic requirment set by Christopher Newport University.
• English Language OR any other language requirments as set by Christopher Newport University as pre-requiste for admission in Data Analytics in the Social Sciences.

Note: Please check the university website in the link below.

Applicants for the Data Analytics in the Social Sciences degree typically need to have completed secondary education with strong results in mathematics and social sciences. A foundational understanding of statistics is highly beneficial. Additionally, relevant extra-curricular activities, internships, or work experience in related fields can enhance one's application.

Students are generally expected to demonstrate proficiency in English, with average expectations being an IELTS score of around 6.5 or a TOEFL score above 79. Specific scores may vary, and it’s advisable to consult the university's official guidelines for precise requirements.

Please check detail of study units at https://cnu.edu/academics/programs/index.html

• Data Analyst
• Policy Analyst
• Research Scientist
• Social Researcher
• Market Research Analyst
• Public Relations Specialist
• Behavioral Economist

80 fully funded scholarships are listed for USA. See USA scholarships.