Faculty of Data Science

Department of Data Science

What is Data Science?

Nowadays, it is common sense to analyze data and constantly formulate new strategies in a wide range of fields, including business, healthcare, welfare, and government.
To that end, we must develop the power of "finding issues," "collect information," "analyze," and "finding new knowledge."
Data science is an "information science" that has a systematic theory, but it is also a practical study that is indispensable for business.
Human resources who have acquired data science to solve problems through statistical thinking based on data, so-called "data scientists," are expected to play an active role in all fields around the world in the future.

Feature 1

Sales and service industries…

We analyze customer information, purchase history, and website browsing history, etc., and propose "products that are likely to be purchased" to users on the site.
When logistics companies deliver products to various locations, they analyze delivery volume, location, time, number of trucks, weather, traffic information, etc., and formulate delivery plans that optimize costs and time.

Feature 2

In the medical field,…

By analyzing the vast amount of medical data accumulated in hospitals, we use it for early detection, prevention and treatment of diseases while reducing the burden on doctors and nurses as much as possible.
By analyzing medical big data, we search for genetics and substances that cause disease and contributes to the creation of new drugs.

Humanities and Diploma Policy for Graduation Certification/Diploma Policy

Faculty of Data Science, Shimonoseki City University develops human resources who can contribute to solving social and organizational issues and creating new value by mastering theories and practices related to mathematical statistics, informatics, and social sciences necessary to design, analyze, and utilize diverse data.

A.: Through his knowledge of statistics and related mathematical sciences, and his experience in analysis using them, he acquires the ability to collect, organize, and analyze data, and to logically consider the findings obtained from them.
B.: He has knowledge of algorithms such as information management, analysis, and artificial intelligence, and through his experience of expressing them on a computer, he has acquired the ability to analyze, utilize, and properly handle various forms of data.
C.: By learning how data analysis is performed in the field of business or healthcare, together with the knowledge unique to each field, they understand the role that data can play in society, and acquire the ethics and sense of responsibility (moral) necessary to handle data.
D.: We can cooperate with various people to communicate appropriately and communicate the analysis methods used and statistical interpretation of the results in an easy-to-understand manner.

Curriculum policy for organizing and implementing curriculum policy

Faculty of Data Science organizes and implements the curriculum based on the following policies so that students can acquire the knowledge and skills set forth in the Diploma Policy.

A.: Students acquire basic knowledge of mathematics related to data science from the first to second years, and then to acquire a wide range of knowledge and skills related to statistical analysis methods.
B.: Students acquire basic knowledge on information and programming in the first to second years, and then in the second to third years, students acquire a wide range of knowledge about algorithms including artificial intelligence, and data analysis and utilization skills.
C.: In the second to third years, students will acquire courses to study data analysis in the field of business or healthcare. At the same time, students will acquire ethical standards and responsibility as a technician who handles data through lectures and active learning subjects.
D.: Throughout the first to fourth years, students will acquire practical courses, project-based learning subjects, and graduation research in order to acquire communication skills, presentation skills, and creative thinking skills.
E.: In order to ensure objectivity and strictness, the evaluation of Gaku Osamu achievements, the degree of achievement of the goals of each class described in Shirabass will be used to evaluate the degree of achievement of each class subject described in Shirababus in order to ensure objectivity and strictness.

Specialized Education Curriculum

		1 year	2 years	3 years	4 years
Exclusively Gate Base Foundation	Mathematics and Information Basics	Mathematics Fundamental Information Society and Information Ethics Linear algebra Introduction to Informatics Introduction to DS programming Probability theory	Analytical Science Database Geometrics Mathematical Statistical Network Technology Theory Algorithm theory
	Introduction to DSF	Introduction to Data Science Introductory Data Science	Data Science Fundamentals Data Science Exercise Information and occupation
	Use of data analysis		Quantitative data analysis Regression analysis Categorycal data analysis Table data mathematical analysis Datahandling Introduction to Artificial Intelligence Time-series analysis Bayes Statisticals	Quantitative data analysis exercises Statistical modeling Categorycal data analysis exercise Table Data Mathematical Analysis Exercise Data mining Machine learning Digital Signal Processing Technology Statistical Social Studies Law Text-mining Pattern recognition Social Network Analysis Exercise of Statistical Social Research Method Data analysis exercises
	Exercise and Graduation Research	Colexiam I	Research Ethics	DS Project Colkyam II	Graduation research
Exclusively Gate Oh Use	Business data Science		Management Information Overview Information system theory Management Information Systems	Operations Research Marketing research E-commerce theory Mathematical Optimization Business Data Analysis
Exclusively Gate Oh Use	Health data Science		Introduction to Epidemiology and Public Health Health and Medical Sciences Overview	Essentialology Overview Pharmacology Overview Sensitive Data Processing Medical and Health Informatics Bioinformatics Clinical Research Overview Biological statistics

※The curriculum is subject to change.

Introduction of class subjects

Explanation of artificial intelligence

Artificial intelligence is an essential basic technology that supports the foundation of living infrastructure. Its technologies and services are rapidly spreading in various aspects of life and work, such as economy, medical care, education, politics, arts, sports, and games. In order to understand the technology currently referred to as artificial intelligence, we will systematically learn basic technologies and specific applications, and also conduct programming exercises as an issue.

DS Project

The DS project involves discussions, analysis, and presentations in all areas of statistics, informatics, business data science, and health data sciences. In the form of Project-based learning (PBL / problem-solving learning), you will independently learn how to find issues and solve them while handling real data.

Information system theory

In recent years, there have been a number of cyberattacks that sneak into information systems in an unauthorized manner, stealing or destroying data, and cybersecurity, a defense measure, is becoming increasingly important. In this curriculum, learners themselves build information systems and conduct exercises to further attack their vulnerabilities. We will learn more about the cybersecurity knowledge that everyone needs.

Marketing research
<Business field>

Marketing Research is an analysis that solves problems related to management strategies and marketing activities. Using actual products and services as examples, students acquire skills that can be used in practical work through group work.

Biological statistics
<Health field>

In biostatistics, students acquire statistics, data science, and consulting matters that are useful for medical research such as cancer research. Students will also acquire the overall know-how of data analysis in medical research.

Practical learning knowledge of cybersecurity, which has become increasingly important in recent years.

Since the data held by a company is an important asset of the company and often contains important information received from customers, it is usually managed appropriately by a system that manages information, that is, information systems.

Expected course

After graduation, you will be able to use your data science expertise to engage in planning and marketing, system engineers, or healthcare professionals in a wide range of industries, or healthcare professionals.

● Manufacturing, Retailing, Advertising and Publishing　● IT and telecommunications　● Administration　● Health and medical institutions (including university hospitals)　● Pharmaceutical Company　● Research Institutes and think tanks　● Financial institutions (banks, insurance, securities, etc.)　● Graduate school, etc.

Licenses and qualifications that can be obtained

The following licenses and qualifications can be obtained by predetermined credits (selection system).

● A junior high school teacher's license (mathematics)
● High school teacher type license (mathematics)
● High school teacher type license (information)
● Social Investigators

Lecture Block D

On the first floor, there is a classroom where a large number of students can take lectures and exercises, and a rest space for students, and a faculty laboratory and faculty laboratories are located on the second to fourth floors. If you have any questions, we have realized the short distance between students and teachers, where you can consult immediately.

VOICE for current students

To be a data scientist who contributes to society.

Department of Data Science 1 year (as of April 1, 2024)

Princess Ai Kono (from Yamaguchi Prefectural Asa High School, Yamaguchi)

I heard about ESG-conscious corporate management and data science in high school's "Inquiry Activities" and became interested, so I decided to apply for this department. "Business Data Science" and "Health Data Science", I am looking forward to future classes to absorb a lot of things because I can specialize in areas of interest. There are various spaces in the university where you can concentrate on studying, so I would like to actively use it to challenge qualifications. In the future, I would like to contribute to the realization of a sustainable society by leveraging data to solve social issues and to develop new value.

Q&As

Q
I was a literature in high school, can I learn data science?
A
Data scientists are aimed at regardless of literature or science. In the first place, data science is a discipline that uses theories such as mathematics, statistics, machine learning, and programming to analyze data and create new value. To do so, you need an understanding of society, economy, and human beings, and a humanistic sense is useful.
Q
I'm not very good at mathematics. Can I keep up with my class?
A
You need a minimum knowledge of mathematics for college exams, but you do not always need advanced math knowledge. After enrollment, students will learn the basics of mathematics related to data science as "Specialized Basic Courses". We are also preparing a remedial study system.
Q
What kind of field will you be able to play an active part after graduation?
A
Human resources who can utilize the enormous accumulated big data will be required in a wide range of fields, both public and private sectors. Particularly at our university, students will learn practically through the two pillars of "Business Data Science" and "Health Data Science" and will be active as planning, marketing analyst, SE, etc.

Teacher introduction

"Data science" with a view to the future, learning deeply and widely from specialists.

List of Teachers in Department of Data Science Faculty of Data Science