Center for Data ScienceWaseda University

Education

Education Overview

The advancement of information and communication technologies has made it possible to handle a wide variety of data, which has led to the growing importance of data science in both society and every field of academia, spanning the sciences, engineering, and the humanities. Against this backdrop, the Center for Data Science provides a wide range of educational programs, including curriculum development, to all students.


Curriculum

About Data Science

The Center for Data Science, in cooperation with the Global Education Center (GEC), offers a Data Science Educational Program for all undergraduate and graduate students. All students of Waseda University, regardless of their school/department and year of study, can learn about data science starting from the basics.

 

Curriculum Overview

In order to understand data science, it is necessary to acquire a wide range of knowledge covering areas such as statistics, machine learning, and AI.

However, the possession of such knowledge alone does not enable the application of the knowledge to real-world problems.

Waseda University offers a program that covers all aspects of data science from the basics to application, with the objective of ensuring that students not only acquire the knowhow, but also learn about the approaches to data science, as well as develop the skills to apply data analysis methods independently. This program is open not only to students who wish to gain in-depth knowledge of data science, but also to students from the humanities and students who are new to data science.

Curriculum Overview PDF

 

Education Policy

In the Data Science Educational Program, Waseda University offers a program in which students not only study the theories of data science that are necessary in every field of study, but also acquire the skills to handle and analyze data in the real world at the same time. Through this program, we aim to equip students with the ability to integrate data science with their knowledge in their areas of expertise, and to apply these skills.

 

Features of the Curriculum

The Data Science Educational Program is offered fully on-demand, and can be taken anywhere, at any time. In this program, students not only study the theories of data science that are necessary in every field of study, but also acquire the skills to handle and analyze data in the real world at the same time. On top of that, they also learn approaches that tie in these new skills and knowledge with their knowledge in their areas of expertise. To that end, the program is structured systematically as four course groups, A, B, C, and D, to help students learn about data science in stages from the basics to development.

If students do not understand the contents in a course, they can use chat and BBS, as well as receive online or face-to-face support with the Learning Assistant (LA) by making use of the Math and Stat Center (MSC).

 

Course Subjects

For students learning about data science for the first time (Overview of Course Group A)

Data science is an academic discipline that places importance on the type of data and the purpose for utilizing the data. We recommend students who are learning about data science for the first time to start with Course Group A. Students will learn about the concepts of data science through an integrated approach in the subjects “Introduction to Data Science alpha/beta/gamma/delta.” On the other hand, those who wish to focus on statistics can do so in “Statistical Literacy alpha/beta.” Students can also take up the challenge of “Data Science Practice” and apply the data science concepts and skills they have learnt so far. In this subject, they will practice using the data they have obtained.

Overview and learning approaches for the main subjects in the early stages

Syllabus (Course contents)

You can read about the details for each course subject in the Data Science Educational Program in the syllabus (course contents).

Data science course consultation is offered to students of Waseda University. Please click here to apply.

 

Certification Program in Data Science

As a part of the Data Science Educational Program, the Certification Program in Data Science has been established for the purpose of setting out clear targets for the study of data science. This Certification Program endorses and certifies students’ proficiency in data science based on four levels. By clearly setting out the targets to be attained at each level, it provides students with the opportunity to learn about data science in a way that matches their individual interests. Students who have fulfilled the requirements for each level are presented with a certificate from the Global Education Center.


Certification Program in Data Science

Waseda University promotes and supports research and education in the field of data science through the fusion of “expertise” with “data science.” The Global Education Center, in cooperation with the Center for Data Science, offers the Data Science Educational Program to all undergraduate and graduate students, making it possible for all students of Waseda University, regardless of school/department and year of study, to learn about data science starting from the basics. As a part of the Data Science Educational Program, the Certification Program in Data Science has been established for the purpose of setting out clear targets for the study of data science. This Certification Program endorses and certifies students’ proficiency in data science based on four levels. By clearly setting out the targets to be attained at each level, it provides students with the opportunity to learn about data science in a way that matches their individual interests. Students who have fulfilled the requirements for each level are presented with a certificate from the Global Education Center.

Today, it has become possible to acquire a wide variety as well as massive volumes of data, thanks to the advancement of information and communication technology such as the Internet and IoT. As a result, there is strong demand for data science, which utilizes such data, in various academic fields and in society. Data science is an academic discipline that seeks to arrive at rational and clear decision-making, as well as to derive logical proof, through data. Data and knowledge in the area of expertise that provides a basis for decision-making are of vital importance toward obtaining the desired decision from the data. Based on this, it is clear that data science fulfills its potential through its integration with the learner’s area of expertise.

We hope that many students will study data science in order to apply it to their own areas of expertise, and take advantage of the Certification Program to enhance their attainments in the field of data science and develop their career potential.

 

Overview of the Certification Program

・About the Certification Program in Data Science
Click here for slides / Click here for the pamphlet
Click here for more information about the curriculum and course subjects
・The Importance of Data Science Introductory video
Click here for the introductory video (15 minutes and 5 seconds)
・The Data Science Educational Program and the Certification Program in Data Science Introductory video
Click here for the introductory video (15 minutes and 20 seconds)

 

Procedures/Application for the Certification Program

・To apply for certification: Click here (Application form)
・For information on procedures: Certification Program in Data Science   (Excerpt from the Registration Guide of University-Wide Open Courses  [Global Education Center])

[Eligibility]
・Students who are enrolled in Waseda University’s undergraduate or graduate school from April 2021 (regular students only)

[Course registration]
・Please register during the regular course registration period for courses requiring certification and established under the Global Education Center.
・Students are free to choose the course subjects to take, and which semester to take them in. Hence, please check the syllabus and other information sources, follow the registration rules for your undergraduate or graduate school, and register for the course subject that is eligible for the Certification Program in Data Science under the Global Education Center.

[Application for certification]
・If you wish to receive certification under the Certification Program in Data Science, it is necessary to submit an application for certification separately from the course registration.

Using the Application Form above, please specify the desired level of certification and complete the application.

[Flow leading to certification]
・With regard to the flow leading to certification, after completing course registration and application for certification, a “completion assessment” will be conducted after results have been confirmed for the spring and autumn semesters. Students who have received certification will be contacted via Waseda Mail.
・Students who receive the e-mail about their certification may print their certificates from the university’s certificate issuing machines after the date indicated on their e-mails.

◆ Estimated timing for “completion assessment” ◆
Spring semester: September (Application deadline: End of July)
Autumn semester: March (Application deadline: End of January)

 

Data science course consultation

Waseda University offers students the opportunity to learn about data science in a way that matches their individual interests and objectives. Students are free to decide on the learning approach, but students who are learning about data science for the first time are advised to refer to page 6 of the pamphlet for the Certification Program in Data Science.

Data science course consultation is also available to students of Waseda University. Please click here to apply.

 

Inquiries

・Frequently-asked-questions (FAQ) and answers
Please refer to the FAQ before making an inquiry.
・Students of Waseda University: Please inquire here.
・Non-students of Waseda University: Please inquire here.

Please click on the link below for a press release about the Certification Program in Data Science.

全学生対象Data Science認定制度開始


Education Support

Provision of statistics course module and educational materials

Educational materials used in the on-demand statistics course established under the Global Education Center (GEC) are also available to persons other than the course-takers, for the purpose of self-study or to support their research and education activities. The information brochure is available here.
If you wish to use the materials, please read the following information carefully and submit an application using the MyWaseda Application Form (http://goo.gl/udJ28a).

*After logging in to MyWaseda, please apply from the URL provided above.

*Applications are only open to faculty and staff of Waseda University (applications from students are not accepted).

 

Examples of use

・Use in flipped classrooms in regular courses, such as seminar classes
・Use as supplementary teaching materials for first-year education
・Self-study on how to draw simple graphs, calculation methods, etc.

 

Features

1.Each item, such as “histogram” or “hypothesis testing,” is explained through a set of materials containing text, videos, and practice questions.

2.The necessary statistical knowledge is provided regardless of whether the area of expertise is in . In addition, the hierarchical structure of the respective contents is presented in the form of a map, making it possible for to take courses that match their own levels.

3.To help address any difficulties or questions that may arise during self-study, consultations are available at the GEC one-on-one guidance room for statistics at the Math and Stat Center (Building 3, 2nd floor). Learning Assistants (LA) also provide individual guidance on questions or problems.

*Due to the impact of the novel coronavirus pandemic, this is scheduled to be opened only after all students are able to attend classes in person. As of July 2020, face-to-face guidance is provided online.

 

Contents

Please refer to the following for the contents that are currently available.
Module Map (1)
Module Map (2)
Module Map (3)

 

Sample of educational materials

Sample (1)
Sample (2)
Sample (3)

 

Inquiries

[email protected]


Educational Materials

Under construction


Support for data science learning from Learning Assistants (LA)

Students can seek help with their questions on courses offered by the Center for Data Science, from the Learning Assistants (LA) at the Math and Stat Center (MSC). Please take advantage of this system when you have any questions or face any difficulties with the course contents.

  • Venue: Waseda Campus Building 3, 2nd Floor, Room No. 208
  • Opening hours: Monday to Saturday, 9:30 am to 6:00 pm during term time

(Closed on Sundays and national holidays when no classes are held)

*Closed for several weeks from the start of the spring and autumn semesters in order to prepare for opening.

*Questions on mathematics courses are accepted at different times from the opening hours stated above.

 

For details, please refer to the Math and Stat Center (MSC) and the following page.

https://www.waseda.jp/inst/gec/gec/academic/math/#anc_22


Internships

The Center for Data Science offers educational internships in the field of data science, in cooperation with companies. By helping students learn about data science, which is a vital skill in society, and apply it to the field of business, we aim to nurture practical human resources who are equipped with knowledge in both a specialized field and in the area of data science.

This program is conducted as a part of the “Affiliated Internships” program offered by the Career Center.

Reference: Website of the Waseda University Career Center, Internship Desk

インターンシップデスク

  • Eligibility: Depends on the respective companies offering the internships (internships are also available for undergraduate and graduate students in the )

May 21, Friday, 4:30 pm to 6:00 pm: A briefing session on academic year 2021 summer internships will be held for students.

To register for the briefing session: Please click here to register for the briefing session. ZOOM details will be provided to students who register through the registration form. For details, please refer to this leaflet.

-Now closed –

  • Host companies (AY2021): Mizuho Bank, ADK Marketing Solutions, ITOCHU Techno-Solutions Corporation, Hitachi Solutions, Sankyo Frontier, JR East Marketing & Communications
  • Number of interns accepted: Depends on the host company
  • Internship period: In principle, during the summer and spring vacation
  • Recruitment period: (Summer) End of May – Mid-June, (Spring) Early December – Early January
  • Selection: Each host company will conduct its own selection process and decide on the interns to accept

 

Points to note when applying for an internship

・The duration of the internship may vary depending on the host company.

・The knowledge required may vary depending on the host company and the type of internship. Please verify the details for the internship that you wish to apply for.

・Depending on the program, priority may be given to students who have taken the “Introduction to Data Science alpha/beta” subjects under the Global Education Center.


Doctoral Career Development through Development of Data Analysis Talents (D-DATa)

1.News/Events

[Changes the implementation system]

The implementation system has undergone changes alongside the insourcing of D-DATa. In the future, D-DATa will be operated as a program under the Center for Data Science, and not as an independent grant program.

 

2.Program overview

◇Development of Data Analysis Talents (D-DATa)

This program aims to nurture highly-skilled human resources in the area of data science and promote their wide-ranging engagement in society through the following ways: the creation of a consortium with universities, corporations, and other organizations; the development and implementation of training programs to enable highly-skilled human resources such as doctoral students and doctoral degree holders to acquire skills in the field of data science; and the provision of support for their career development.

Ministry of Education, Culture, Sports, Science and Technology (MEXT)
Doctoral program for Data-Related InnoVation Expert (D-DRIVE)

http://www.mext.go.jp/a_menu/jinzai/data/index.htm

 

3.Features/Curriculum

The curriculum has undergone significant revision from AY2020 due to the changes the implementation system.

With the aim of nurturing doctoral human resources equipped , the new curriculum provides an educational program that is tailored to individual doctoral students with their varying expertise and backgrounds. Support is provided to help students apply data science to their fields of research, develop new research areas, and enhance their careers.

Certificates are issued to the students after they have completed their customized curricula.

About the Development of Data Analysis Talents (D-DATa)

 

4.How to participate in the program

1) Register for D-DATa

Please register for D-DATa using the registration form for course attendees.

Those who have registered for D-DATa may freely browse the self-study contents for statistics and data science (*). When engaging in research activities, please utilize the self-study contents for carrying out data analysis using statistics and data science. Registered students will also be kept informed about seminars and events related to data science.

*Course registration is not required. However, please note that credits are not awarded for

2) Consultation through the D-DATa Consultation Desk

We are open to consultations from students about how to study statistics and data science, how to apply these to their own research, and other questions. Students may apply through the D-DATa Consultation Desk, confirm the consultation schedule, and have a face-to-face consultation with a faculty member specializing in data science.

3) Participating in the program

After registering for D-DATa, please use the self-study contents and attend the regular data science courses and seminars. (Please register for the respective subjects and seminars on your own).

Students can consult at any time with the Math and Stat Center on basic information such as the contents of data science classes and with the Data Science Research Consultation Desk on matters related to their research. In addition, questions and consultation about D-DATa are also accepted at any time through the D-DATa Consultation Desk.

4) Application/Issuance of Accreditation Certificate

Once you have completed the program, please apply for an accreditation certificate using the D-DATa Accreditation Certificate Application Form.

*Please refer to this page for information on AY2021 accreditation criteria.

◆ You can view the examples for the abovementioned flow in the file below.

https://www.waseda.jp/inst/cds/assets/uploads/2020/10/ffefc838a51271730e34ded253c08571.pdf

 

5.Career consultation (*)

D-DATa offers a career consultation service for graduate students to help them expand the possibilities of career design in the field of data science, such as careers as researchers in universities and research institutes, or in corporations utilizing the research. It aims to enable graduate students who are both equipped with a high level of expertise at the

Expand your horizons by speaking to coordinators with a wealth of career experience in universities and corporations, about your own career plans. We also welcome undergraduate students who are considering further studies at graduate school. Prior registration is needed. Please contact the office using the form below.

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