Undergraduate Education
Data Science
Advanced Literacy Program
The University of Tsukuba launched the Data Science Advanced Literacy Program for all of its schools and colleges in April 2024. This program is an educational program that offers a certificate of completion with an open badge, which can be obtained upon completion of the requirements. This program consists of university-wide common subjects and subjects for each school and college, and is open to all students affiliated with the University of Tsukuba.
The program is also designed to serve as an important conduit for students at the literacy level to become experts and even leaders in their fields of expertise. This program is a program with the objective of learning basic concepts, methods, and applications related to mathematics, data science, and AI based on the knowledge of the Literacy Program, as well as acquiring practical skills through exercises and project-based learning (PBL). The program aims to help students acquire the ability to extract meaning from data and make effective use of it, as well as the ability to use data science and AI to solve problems.
To complete the Data Science Advanced Literacy Program, in addition to the Data Science Literacy Program, students must earn at least one credit from Practices of AI and Data Science. The university has been promoting cross-disciplinary learning support and accelerating collaboration with high schools, companies, and local governments by implementing initiatives such as a case bank that accumulates outcomes from PBL (Project-Based Learning) exercises, and a data bank that organizes reusable data used in classes and research activities. In recognition of these efforts, as well as the offering of data science courses designed to help solve issues faced by local communities and industries, the program has been selected by the Ministry of Education, Culture, Sports, Science and Technology (MEXT) as part of the approved program for Mathematics, Data Science, and AI Smart High Education +.
Abilities that can be acquired
through this 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 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
Outline of the process for completion certification
該当講義リストはこちらです（M365クラウドで共有）
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.
Advanced Literacy Core: I. Data Representation and Algorithms
- 1-6. Fundamentals of Mathematics
- 1-7. Algorithms
- 2-2. Data Representation
- 2-7. Basics of Programming
Advanced Literacy Core: II. Basics of AI and Data Science
- 1-1. Data-driven Society and Data Science
- 1-2. Analytical Design
- 2-1. Big Data and Data Engineering
- 3-1. History and Applications of AI
- 3-2. AI and Society
- 3-3. Fundamentals and Outlook of Machine Learning
- 3-4. Fundamentals and Outlook of Deep Learning
- 3-9. Construction and Operation of AI
Advanced Literacy Core: III. Practices of AI and Data Science
- Basics of Data Engineering
- Planning, Implementation and Assessment of Data and AI Utilization
Self-inspection and Evaluation System
System for improving and advancing the program
The Curriculum Committee will discuss and coordinate the following matters in order to improve and advance this program*1.
- Establishment of academic courses to be included in the Advanced Literacy
- Self-inspection for each academic year
- Publicity to students (mainly new students)
- Issue certificates to those who have completed the Advanced Literacy*2
*1 Headquarters for Interdisciplinary Education on Mathematics-Data Science-AI members will participate in the Curriculum Committee to build an effective implementation system.
*2 Scheduled to be implemented from the 2025 academic year onward.
System for self-inspection and evaluation of the program
The Headquarters for Interdisciplinary Education on Mathematics-Data Science-AI will evaluate the self-inspection results of this program.