Sophia University will launch the Graduate Degree Program of Applied Data Sciences (Master’s Program), a graduate school for the practical study of data science, in April 2023. The education of data science has been conducted mainly in the field of science and engineering at universities. However, in our rapidly changing society now needs to prepare itself for Society 5.0, a super-smart society. We not only require human resources with expertise in science and engineering, but also business people who have knowledge on data science and can read and understand data, solve problems, and apply and develop new business.
The Graduate Degree Program of Applied Data Sciences aims to nurture practitioners who possess both academic expertise and the practical skill to apply and deploy it in the modern society with “bridging theory and practice” as a key phrase. The three Graduate Schools of Economics, Science and Technology and Environmental Studies at Sophia University are collaborating to develop human resources who can respond to rapid changes in society and solve problems using their data science knowledge. Under the theme of applied data science, the three Graduate Schools have established an organized and systemized cross-divisional degree program. The program is designed to train professionals who will contribute to solving problems in the coming data-driven society and pioneer a new world.
Academic faculty members in this program will provide guidance mainly from an academic perspective, while practical faculty members will provide guidance with an emphasis on practical skills for students to become active in the modern society after completing the Master’s Program. Students will acquire the necessary knowledge to become practitioners who can lead our data-driven society immediately through practical training courses centered on exercises, elective courses that broadly cover the basic and applications of data science, and collaborative courses that broaden and deepen their academic knowledge in data science and business administration. In addition to the faculty members, we also offer a number of courses taught by lecturers dispatched from companies. In the second year, internships courses are offered in actual work sites to deepen the students’ understanding.
The biggest feature of this program is its collaboration among faculty members from the three graduate schools that apply and develop data science (Graduate School of Economics, Science and Technology, and Global Environment Studies) and practitioners with extensive experience in data science especially in the field of business.
The collaboration of these graduate schools that are primarily based on economics, science and technology, and environmental studies enables students to cover diverse academic fields such as economics, business administration, science, engineering, informatics, and environmental studies. The curriculum and faculty organization are designed with a focus on fostering the ability to apply and develop these academic fields in the practical world.
This program accepts students from diverse backgrounds and fosters practitioners who will lead our data-driven society through their graduate studies. We do not set any requirements for entrance examination or admission, such as designating the field of study or undergraduate courses taken in the past, or work experience. Depending on the individual’s educational and professional background, students can brush up their existing knowledge or skills and build their own curriculum based on their ideal career.
Part of its mission is to provide recurrent education for working adults, so the program offers daytime and evening classes. Classes are held mainly in the evening on weekdays, providing an environment that is conductive to learning for working people. The campus is located in front of Yotsuya Station, which is accessible by both JR and Tokyo Metro lines allowing students to easily commute to the school on their way home from work.
*Students are required to take certain number of courses offered during the daytime to complete the program.
応用データサイエンスおよび関連分野の発展に寄与するとともに、データサイエンスに係る専門知識を実社会に応用・展開して、現代社会における多様な課題の解決に取り組み、人間社会の発展に貢献できる高度専門職業人の養成を目的とする。
本学位プログラムでは、応用データサイエンスおよび関連分野の発展に寄与するとともに、専門知識を実社会に応用・展開し、データサイエンスを用いて人間社会の発展に貢献できる人材の養成を目的に、学生が修了時に身につけるべき能力や知識を次のように定めています。修了要件を満たし審査に合格すれば、これらを身につけたものと認め、学位を授与します。
本学位プログラムでは、ディプロマ・ポリシーに沿って、データサイエンスを様々な分野に応用し、データ活用社会を牽引する力を養成するために、データサイエンスの基礎知識やスキルおよびリテラシーや学術的な視点、実務に活用・応用できる実践力を習得するための幅広い専門科目を配置して、以下のようにカリキュラムを編成している。
本課程は、次のような資質と意欲をもつ学生を求めています。
Sumiko ANNO Professor
Daizo IKEDA Professor
Tomi OHTSUKI Professor
Yoshiko OHARA Professor
Masamitsu KURATA Professor
Hirotaka KOBAYASHI Professor
Tad GONSALVES Professor
Tetsuya HORIE Professor
Ikuko YAIRI Professor
Kimio MOMOSE Project Professor by Special Appointment
Kasumi BAN Associate Professor
Yusuke FUKAZAWA Associate Professor
Haruka YAMASHITA Associate Professor
Takao YAMANAKA Associate Professor
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Graduate Degree Program of Applied Data Sciences