Courses

The programs of the center of Data Science and Artificial Intelligence consist of the following five subject groups.
If you wish to attend the following courses as a non-degree student, please contact office@dsai.titech.ac.jp.

Literacy Courses increase students' interest in mathematics, data science, and AI, as well as cultivate the basic skills to properly understand and utilize them.

Information Literacy I

Information Literacy II

Computer Science I

Computer Science II

Basics and Applications Courses allow students to develop basic skills to apply mathematics, data science, and AI to their specialized fields.

Computer Science II

Basics and Applications of Data Science and Artificial Intelligence I

Basics and Applications of Data Science and Artificial Intelligence II

Fundamentals Courses allow students to study mathematics, data science, and AI from both theoretical and practical perspectives, aiming to acquire knowledge for advanced utilization.

Fundamentals of (Progressive) Data Science

Exercises in Fundamentals of (Progressive) Data Science

Fundamentals of (Progressive) Artificial Intelligence

Exercises in Fundamentals of (Progressive) Artificial Intelligence

Applied and Practical Courses allow students to learn about the use of mathematics, data science, and AI in the real world, and aim to understand and master the skills required at the forefront of these.

(Progressive) Applied and Practical Data Science and Artificial Intelligence Ⅰ

(Progressive) Applied and Practical Data Science and Artificial Intelligence Ⅱ

(Progressive) Applied and Practical Data Science and Artificial Intelligence Ⅲ

Advanced courses allow students to learn advanced methods not covered in the fundamental courses, as well as to learn and understand social issues in data science and AI, such as AI ethics.

(Progressive) Advanced Data Science and Artificial Intelligence I

(Progressive) Advanced Data Science and Artificial Intelligence II

(Progressive) Advanced Data Science and Artificial Intelligence III