Program

Program

The Data Entrepreneur Fellows Program (DEFP) (after this called the “program”) is a human resource development program by the Data Entrepreneur Consortium, which has been selected by the MEXT’s Data-related Human Resource Development Program of the Grant-in-Aid for Human Resource Development in Science and Technology. The University of Electro-Communications has received donations for university courses from the SEI Group CSR Foundation and has offered the Data Entrepreneur Program (DEP) since Academic Year 2015. UEC develops the initiative to foster top-level human resources in data science for highly talented people in various fields.

Mission

The program fosters the “data entrepreneurs” who have a background as data scientists to start value-creating businesses. The program also encourages students to acquire skillsets as data scientists and the frontier spirits in business, and to experience a practical problem-solving to create new businesses that society needs.

The Data Entrepreneur

 

Process

This project has three business phases: recruiting, development, and the promotion of activities. In the program’s development phase, Project-based Active Learning (PAL) will be promoted in three learning phases: basic, face-to-face, and practical learning. In the “basic” phase, the system to learn from anywhere via the Internet will be available. We provide students who have completed the program with opportunities to be promoted to a company, and also funds for non-employed students, and recommendation to overseas training programs.

Process

 

Overview

The program is at the post-graduate doctoral level. Data Entrepreneur Practical Theoryand Advanced Data Scientist are offered to students who completed Mathematics and Statisticsgroup, Data Engineering group, Artificial Intelligence group, and Management Engineering groupin the graduate school. Students will experience both research and hands-on practices through joint research program and internships.

Overview

 

Coverage

Each program improves the vertical axis’s abilities with the academic and industrial fields on the horizontal axis. More abilities and fields will be added or changed as the times change and businesses develop.

Coverage

 

Data Platform

The program develops human resources using Data Analytics Training Architecture based Infrastructure (DATA-I), a data infrastructure dedicated to human resource development. The platform provides a robust system with reliable storage servers and secured communications.

Data Platform

 

Lecture Room

Through the program, a dedicated lecture space is prepared in Ambient Intelligence Agora (AIA), an advanced learning space in the university library in Building E-3. Students can use interactive aggregation systems and flexible desk chairs to enhance learning in the classroom and group work.

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Library

The Data Science Library is located in the university library in Building E-3. The library has a collection of 1,000 books, and available only for students participating in the program, and regularly replenished with the latest technical publications focused on data science.

 

Data Science Library Page

 

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Certificate of Completion

Students who meet the completion requirements receive a certificate of completion.

Certificate of Completion

 

Award

Grand Prize is awarded to the student who has achieved the best results among the participating students who have met the completion requirements. The Consortium Representative awards an obelisk-shaped commemorative plaque.

 

History

Academic YearTopics
2020The data analysis examination for Python3 engineer certificatewas first adoptedin Japan.
Held the conference “The Forefront of Data Science”
Conducted 2intensive lectureseries and 3 e-Learning courses for 6th term.
2019Sony Neural Network Console was first adopted as a regular course in graduate school.
Established the Extension Promotion Support Office in the Center for Industrial, Academic and Governmental Relations.
Held the conference “Data Science and Quantum Computers.”
Conducted 2 intensive lecture series and 3 e-Learning courses for 5th term.
2018An advanced technology training program was adopted by UEC.
Held the conference “Data Science and Internet of Things.”
Conducted 2 intensive lecture series and 3 e-Learning courses for 4th term.
2017Adopted by the MEXT’s Data-related Human Resource Development Program of the Grant-in-Aid for Human Resource Development in Science and Technology.
Adopted as a regular course byUEC.
Held the conference “Data Science and Cybersecurity.”
Conducted 2 intensive lecture series and 10 speciallectures for 3rd term.
2016Partnered with IBM Watson for the first academic license in Japan.
Held the conference “Data Science and Artificial Intelligence.”
Conducted 2 intensive lecture series and 10 speciallectures for 2nd term.
2015Received donations for university courses from the SEI Group CSR Foundation.
Held the conference “The Forefront of Data Science.”
Conducted 2 intensive lecture series and 9 speciallectures for1st term.