Faculty of Business Administration Department of Business Administration
AI Business
Utilizing AI and data science,
Cultivating digital transformation talent to bring change to companies
Special Features of the Department
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We aim to develop digital transformation talent who can utilize digital tools, AI, and data science to generate profits for companies while understanding the basics of business management.
Three points
- Understanding and utilizing AI and data science
- Plenty of practical business-related exercises
- Learn programming languages for AI development
Flow of the four years
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First year
Learn the basics of management and AI, and acquire basic skills and self-study skills for AI business.
In [Introduction to Business Management A/B], you will get a grasp of the basics and overall picture of business management, and through [Introduction to AI Business], you will learn the basics of AI and how AI is being used in society and business. In [Business Data Science Basics A/B], you will learn about statistics, which is one of the foundations that support AI. Through group work, you will develop the ability to analyze data, interpret the results obtained, and communicate them to third parties.
e.g.Introduction to Business Management A/B, Introduction to AI Business, Fundamentals of Business Data Science A/B
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Second Year
Learn the power of digital to transform society by learning the essence of DX
In [DX Design Theory] and [DX Project], students learn how to plan and promote DX in society and companies, and experience DX firsthand and understand its essence through planning and promoting actual projects. In [Mathematics for Data Science], students learn the basics of matrices and differentials, which are the basis of AI development and data science, and actually experience creating a simple AI. This is the year in which students will lay the groundwork to become "DX talent."
e.g.DX design theory, DX projects, mathematics for data science
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Third Year
Learn about cutting-edge technologies surrounding AI and take on challenges that cannot be solved by AI alone.
In [AI Business], you will develop the ability to consider business models for systems that utilize AI. On top of that, you will learn about app development in [DX Design Application A/B] and about AI development for predictive purposes in [Machine Learning Basics], and acquire the skills necessary to solve problems. When trying to solve problems, you may encounter problems that cannot be solved by AI alone. Rather than focusing only on AI, you will learn about a wide range of cutting-edge technologies and take on a variety of challenges.
e.g.AI business, DX design application A/B, machine learning basics
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Fourth Year
Spread your wings and take to the world as "DX talent" who bring about change through AI and various cutting-edge technologies
In [Machine Learning Application] and [DX Design Application C], you will increase your expertise in DX and data science. In [Seminar III/IV], you will practice what you have learned so far through collaboration with various companies and organizations in society, proving that you have the ability to play an active role in society as a "DX talent," and this will be the year you take off into society.
e.g.DX Design Application C, Machine Learning Application
Class Introduction
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DX Design Application A/B/C
Person in charge: Professor Rei Bekku
Students learn how to change lifestyles and cultures through digital transformation and build mechanisms for companies to earn continuous profits. The scope of study is wide-ranging, including thinking up mechanisms for streamlining corporate operations, developing apps that solve social and everyday problems, and researching business design in the metaverse.
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Machine Learning Basics/Applications
Person in charge: Associate Professor Yuta Arai
You will learn about machine learning, one of the technologies that supports AI, from its mechanism to how to actually implement it in Python. You will also have the opportunity to hone the skills you have acquired by participating in a data analysis competition in groups and competing with participants from around the world in predictive accuracy.
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Mathematics for Data Science
Person in charge: Associate Professor Yuta Arai
To learn data science, mathematical knowledge such as vectors, matrices, and differentials is essential. In this course, students in liberal arts who have not studied mathematics much can learn the necessary mathematics from the basics.
Student Interview
Why did you choose this major?
In AI Business, you can learn not only AI technology, but also a variety of other fields such as programming, IT skills, data analysis, and marketing. I have always been interested in management, but I chose this major because I believe that AI and IT skills are essential in modern business both domestically and internationally. There are many classes and practical programs that allow you to actually obtain qualifications, and I feel that I will be able to acquire the skills necessary to be active in society. I am also satisfied with the environment in which I can learn a wide range of knowledge, and I am glad that I chose this major.
What are you particularly focusing on learning?
Through classes such as "Introduction to Business Management," "Business Design," and "Programming Basics," I am learning a wide range of business knowledge and the basics of IT skills. I am consciously working on this, believing that it is meaningless if I cannot actually use what I learn, rather than just learning. I also proactively participate in activities that I am invited to, such as community collaboration projects, and gain experience that can only be gained as a student. Through these efforts, I feel that I am growing as a person and also acquiring the skills necessary for working life.
Graduated from Hideaki Yachiyo High School, attached to the Faculty of Education, Hideaki University, Chiba Prefecture
Qualifications that can be acquired
TOEIC® / IT Passport / Fundamental Information Technology Engineer Examination / Python3 Engineer Certification Basic Examination / CG-ARTS Association Web Designer Certification Basic Expert / CG-ARTS Association Multimedia Certification Basic Expert / MOS (Microsoft Office Specialist) / Nissho Bookkeeping Certification Level 3 / Nissho Bookkeeping Certification Level 2 / Statistics Certification Levels 3 and 2 / Financial Planning Skills Certification Levels 3 and 2 / Management Certification Examination
*A certificate will be issued by Reitaku University upon obtaining credits for the designated subjects based on the standards set by the Ministry of Education, Culture, Sports, Science and Technology.
Target career path
Civil servants (prefectures and municipalities), IT, finance, manufacturers, trading companies, logistics, transportation, travel and tourism, etc.
AI BusinessInterview
Reitaku Journal, an online content that allows you to learn more about Reitaku University, introduces faculty members, current students, and active alumni of each faculty.
