Class introduction
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Class introduction
Business Administration
here is the point
Corporate business development and
Relationship with data science
Instructor: Professor SUZUKI NobuyukiRelationship with data science
This course aims to deepen your understanding of management principles related to people, goods, money, information, and globalization. In particular, it will introduce situations where data science is applicable. The goal is to enable you to explain the relationship between corporate activities and economic phenomena.
Music information processing
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Treating music from the perspective of information science
Unveiling the world of sensibility
Instructor: Professor TOJO SatoshiUnveiling the world of sensibility
The emotional shifts evoked by music can be effectively modeled by incorporating methodologies from information science. This course not only helps you understand the mechanics of music apps but also includes Practicum in creating music using music production apps.
Media programming I・II
here is the point
Through game development
Have fun learning programming
Instructor: Tomoya Igarashi LecturerHave fun learning programming
In "Media Programming I & II," students develop games using world-standard 3DCG software and game engines. They hone their programming skills while having fun by writing their own programs to move characters and items within the game. In game development, things often don't work as expected. Instead of immediately giving solutions, students are first given hints, fostering the ability to search for information and think for themselves. This attitude will be useful even after they enter the workforce.
Data Science and Top Management Special Lecture
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The ability to utilize data science in the business world
On-campus internships to hone your skills
Instructor: Associate Professor ISHIZUKA TakaoOn-campus internships to hone your skills
Project-based learning connects data science studies with real-world business applications. This course begins with Lecture from top industry leaders and progresses through hands-on experience. The theme for 2026 is "Developing Fun and Exciting Web Applications."
Introduction to data science
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Data Science
Learn the basics and practice
Instructor: Professor HIRAOKA KazuyukiLearn the basics and practice
In "Introduction to Data Science," you will acquire the fundamental skills for handling data, selecting algorithms, and interpreting results—essential for applying data science in various fields—through Seminar using real data. You will learn not only the latest tools but also a mindset that can adapt to future changes. The goal is for you to be able to collect your own data, process it correctly using the Python programming language, and create easy-to-understand graphs. The sense of accomplishment you feel when you create something with your own hands is truly special.
web application
here is the point
To survive in the information society
Learn how web content and search systems work
Instructor: Professor AGATA TeruLearn how web content and search systems work
I have been involved in the development of systems such as search engines for academic information, electronic elections, and publication application systems, from an information science perspective. Leveraging this knowledge, I will be Seminar covering fundamental skills such as HTML, server knowledge, and applications utilizing browsers and web APIs. I aim to cultivate the ability to create web services and applications by effectively utilizing open data and publicly available web APIs. Let's acquire the skills to navigate the vast ocean of information together.
Subjects that solidify the foundation
Programming language IUsing Python, learn the basics of programming from the beginning.
programming language II
Practical learning of Python's representative libraries and programming techniques required for machine learning.
Data Mathematics I
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Knowledge of physics and mathematics that we have been working on for many years
I will explain for beginners
Instructor: Professor YOSHIDA RitsuI will explain for beginners
I teach about quantum computers, which have been a hot topic in recent years, and quantum cryptography, which is theoretically unbreakable. In addition, in my course, "Data Mathematics I," I cover linear algebra, which is essential for data science. This is a crucial concept that leads to machine learning and audio data analysis. I utilize my many years of experience in physics and mathematics to explain it in a way that is understandable even to students who are not good at math.
Introduction to Artificial Intelligence I
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Be able to explain artificial intelligence
Instructor: Professor TOJO SatoshiThis course aims to provide a comprehensive overview of artificial intelligence. First, we will examine how computers mimic human intelligence, then we will learn about various methodologies in machine learning. Finally, we will consider recognition models for speech, images, and language that can be realized using the latest AI technologies.
Machine learning and deep learning
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Machine learning is a field of artificial intelligence that uses techniques to find rules and patterns from given data. Deep learning is a machine learning method that has seen increasing practical application in recent years. In this course, you will learn the fundamentals of machine learning and deep learning, and you will also tackle assignments using the Python programming language.
Acquire skills to use machine learning
Instructor: Professor HIRAOKA KazuyukiMachine learning is a field of artificial intelligence that uses techniques to find rules and patterns from given data. Deep learning is a machine learning method that has seen increasing practical application in recent years. In this course, you will learn the fundamentals of machine learning and deep learning, and you will also tackle assignments using the Python programming language.
business model analysis
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Build a new business model by making full use of data
Instructor: MURAKAMI Yoshiki LecturerA business model is a mechanism by which a company continuously generates sales and profits in a specific business. This course cultivates the knowledge needed to build and create excellent business models through numerous case studies and theories. Through data science, you will acquire the skills to transform entire businesses.
Project type course
Practical learning of front-line skills
Game development and metaverse construction in Unity
We are focusing on developing human resources who can use the game development tool Unity. [Data Science Application Project II] uses Unity to develop an AR app for iPhone and to build "Asia University Metaversity."
For over five years, many students have been modeling each building as part of a project to create a "digital twin" that reproduces the real campus on the metaverse.
For over five years, many students have been modeling each building as part of a project to create a "digital twin" that reproduces the real campus on the metaverse.
<Updated on July 15, 2026>
Department of Data Science