Data Science (International Liberal Arts) International College of Liberal Arts (iCLA) at Yamanashi Gakuin University

Overview

Data Science transcends technicalities, nurturing critical thinking and problem-solving capabilities. The study of Data Science (International Liberal Arts) at International College of Liberal Arts (iCLA) at Yamanashi Gakuin University acts as a unifying force, bridging diverse disciplines and offering an interdisciplinary lens to approach real-world challenges. The curriculum of iCLA’s Data Science major has been carefully crafted to address the growing demand for professionals well-versed in data analytics while emphasizing ethical considerations in data utilization. We integrate Data Analytics techniques with Domain Knowledge, offering distinct pathways in Data Science for Finance, Data Science for Psychology, and Data Science for Political Economy.

What will I study?

As you progress through the curriculum, you will have a clear roadmap to guide your academic journey. The curriculum is structured into three main levels: Introductory Courses, Core Courses, and Advanced Courses. The major culminates with you undertaking the Seminar and Graduate Research Project. Each section encompasses Data Science courses, which delve into Programming, Mathematics, and Statistics, and area studies courses, which determine the specific study path, focusing on Finance, Political Economy or Psychology. In your final Graduate Research Project you will apply the knowledge and skills acquired throughout the program to an area of research you choose.

What can I do next?

After completing our major in Data Science with Finance, Political Economy or Psychology, you will be equipped with an adaptable skill set that opens doors to various opportunities. The interdisciplinary background opens diverse career pathways, allowing you to contribute meaningfully to a wide variety of sectors. Some examples of career pathways include:

• Work as a data analyst or scientist, applying analytical skills to solve problems in financial, political or psychological contexts.
• Pursue a Masters or Ph.D. in Data Science, Finance, Political Economy, Psychology, or related fields for in-depth expertise.
• Engage in research projects that explore the intersection of Data Science with Finance, Political Economy or Psychology.
• Contribute to policy analysis using data-driven insights in the political landscape.
• Provide consultancy services, offering data-driven solutions to businesses or governmental organizations.
• Collaborate with nonprofits, leveraging data for social impact and change.
• Share knowledge by becoming educators, teaching Data Science or related subjects.
• Start ventures focusing on data-driven solutions for financial, political or psychological challenges.
• Apply data insights in public relations to understand public sentiment or political trends.
• Combine writing skills with data expertise to work in data journalism, explaining complex issues through data visualizations.