Data Science Advanced Literacy Program

The University of Tsukuba’s School of Science and Engineering has established the Mathematics, Data Science, and AI Education Program (Advanced Literacy Level) for its six colleges. This program is an educational program that offers a certificate of completion, which can be obtained upon completion of the requirements. This program consists of university-wide common subjects and subjects for each college, and is open to all students belonging to the School of Science and Engineering. As an example, about 75% of the graduates in the 2023 academic year are expected to complete this program. This program is accredited by Approved Program for Mathematics, Data science and AI Smart Higher Education/Advanced Literacy of the Ministry of Education, Culture, Sports, Science and Technology (MEXT).

The program is also designed to serve as an important conduit for students at the literacy level to become experts and even leaders in the field of science and engineering. Students carry out group work with presentation of results, practical exercises dealing with real tasks and real data, listen to special lectures by practical experts and critiques of presentations, and accumulate data that contribute to experiencing cases and analysis that are useful in practice. The Data Science Casebank and the Data Bank, which are widely open to the public both inside and outside the university, have been recognized as distinctive efforts and have been selected for the Approved Program for Mathematics, Data science and AI Smart Higher Education/Advanced Literacy Plus of MEXT.

* The entire University of Tsukuba conducts Mathematical, Data Science and AI (MDA) education from the first year of undergraduate studies to the doctoral program, and this program is one of those programs. Please refer here for the university-wide MDA education system.

(Accreditation valid until on March 31, 2028)

(Accreditation valid until on March 31, 2028)

Reference

Abilities That Can Be Acquired through This Educational Program

By completing this program, students will learn basic concepts, methods, and applications of mathematics, data science, and AI (MDA), and acquire practical skills through practical exercises and project-based learning (PBL). This enables students to acquire the ability to extract meaning from data and use it effectively, as well as the ability to apply it appropriately to solve real-world problems.

Completion Requirements and Courses

Completion Requirements

Students shall obtain a total of at least 8 credits. At least 5 credits from the core course categories (a1-a10 below) that comprise the program and at least 3 credits from specialized education course categories (b1-b18). In addition to the required Data Science and Information Literacy (lecture) credits, students must also obtain at least 1 credit from a3, a4, or a5 to complete Fundamentals of Mathematics and one credit from a6, a7, a8, a9, or a10 to complete Basics of Programming.

授業科目

*Courses that include other content, such as Next Generation Entrepreneur Training Course, Tsukuba Creative Camp Basic: Introduction to Entrepreneurship, Urban Planning Practical Exercises, and Urban Planning Internship, are designated as courses for acquiring practical skills, but are not included in the requirements for completion.

Course Details

This program consists of three applied basic cores. The curriculum included in each applied basic core corresponds to the Model Curriculum for Mathematics, Data Science and AI (Advanced Literacy Level), and is covered by the class subjects listed above.

Self-inspection and Evaluation System

System for improving and advancing the program

The School of Science and Engineering Steering Committee studies and deliberates on the following matters in order to improve and advance this program.
(1) Matters related to the basic policy of Mathematics, Data Science and AI (MDA) Advanced Literacy education for the following academic year
(2) Matters related to the organization of the curriculum and syllabus for the following academic year
(3) Matters related to the improvement of class implementation methods
(4) Other matters related to MDA Advanced Literacy education
Based on the basic policies, etc. decided by the Committee, the Steering Committee will formulate and implement the curriculum in cooperation with the curriculum staff of each faculty, MDA education promotion staff, and others.

System for self-inspection and evaluation of the program

The Headquarters for Interdisciplinary Education on Mathematics-Data Science-AI will conduct self-inspections and evaluations of this program.
Results of Self-inspection and Evaluation in 2022 Academic Year (Japanese)
Results of Self-inspection and Evaluation in 2023 Academic Year (Japanese)

Related Sites