Course model

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Department of Data Science offers a Subject model that caters to three different orientations: business-oriented, scientist-oriented, and creator-oriented. By taking Required Subject in the first year, students can acquire basic knowledge of business administration and data science, and then from the second year, they can learn more specialized subjects.

Course registration flow

Business-oriented model


1
annual
Learn introductory knowledge of data science that can be applied to business

  • Introduction to IoT
  • Distribution/Marketing
  • Business Simulation I・II
  • Data Science Colloquium I & II, etc.
2
annual
Acquire business expertise and fundamental skills in data science

  • Data analysis I・II
  • Management Marketing Theory
  • IT and business
  • Management strategy theory
  • company law
  • Introduction to management organization theory, etc.

3-4
annual
Acquire a wide range of specialized knowledge in business-related data science

  • DX Theory
  • virtual reality
  • IT Security
  • Venture business theory
  • Marketing Communication Theory
  • business model analysis
  • Digital Marketing Theory
  • Graduation research I & II etc.

Scientist-oriented model


1
annual
Learn the basics of data science

  • Introduction to IoT
  • Introduction to Artificial Intelligence II
  • Business Simulation I・II
  • Data Science Colloquium I & II
  • Introduction to Data Analysis, etc.

2
annual
Acquire a wide range of data science expertise and skills

  • natural language processing
  • Music information processing
  • Data mathematics I・II
  • Data analysis I・II
  • Introduction to Algorithms
  • Data Science Colloquium III & IV
  • Social survey methods, etc.

3-4
annual
Gain greater expertise in data science

  • Machine learning and deep learning
  • DX Theory
  • virtual reality
  • IT Security
  • marketing research
  • Industry and Technology
  • business model analysis
  • Technology Management Theory
  • Graduation research I & II etc.

Creator-oriented model

1
annual
Learn introductory knowledge and skills in data science that can be applied to business
  • Media programming I・II
  • Introduction to Artificial Intelligence II
  • Business Simulation I・II
  • Data Science Colloquium I & II, etc.
2
annual
Gain expertise in business and data science
  • natural language processing
  • Music information processing
  • Data analysis I・II
  • Introduction to Algorithms
  • Data Science Colloquium III & IV
  • Business Communication I & II
  • IT and business, etc.
3-4
annual
Learn about the broad application of data science to business
  • web application
  • mobile application
  • DX Theory
  • virtual reality
  • IT Security
  • marketing research
  • Industry and Technology
  • Technology Management Theory
  • Graduation research I & II etc.
<Updated September 5, 2024>
Department of Data Science
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