Top > Column > "Data Science Department" was newly established in April 2022!From adding value to data to building a business model.Training data scientists required at various sites

2022/4/5

"Data Science Department" was newly established in April 2022!From adding value to data to building a business model.Training data scientists required at various sites

University Journal Online Editorial Department

　Nippon Institute of Technology will establish a new "Department of Data Science" in the Faculty of Advanced Engineering in April 2022.Until now, we have been improving the environment for learning data science, such as deciding to make "Introduction to Data Science and AI" compulsory across faculties and departments.In the newly established Department of Data Signence, you will learn cutting-edge technologies such as AI and IoT that support Society 4 ultra-smart society from basic technologies such as mathematical statistics and programming, and improve your system construction ability and data analysis ability through practical exercises. By doing so, we aim to "cultivate human resources who can solve social issues and create new value."

 

 

Cultivate the "eyes to see" as a data scientist

　Many universities are also establishing new departments with data science, but the "Data Science Department" of Nippon Institute of Technology is particularly focusing on the upstream to downstream processes for data collection and preprocessing. The point is to train data scientists who can handle up to.In other words, in information engineering + data science, we will develop human resources with the data science skills required in the field.

　Data and systems are now an integral part of our lives.However, even if it is a bit of data, it is necessary to first perform preprocessing to remove statistically unnecessary data from the huge amount of raw data collected, and then statistically analyze it by an appropriate method to extract meaningful information. So, for the first time, you can add value to your data.Adding value to data in this way is a very important phase.

　However, in data science, there are not many places to learn up to this upstream process.So why do you do it at Nippon Institute of Technology?

　For example, if some of the data that occupies the majority is out of the ordinary, does it provide meaningful information, or is it just a noise-like error? This is because the ability to judge whether it is a thing and select the data is important for data science.

　Furthermore, when looking at the data with two indicators, A and B, the point that seems to be statistically out of order is actually another distribution by adding another indicator called C. It may be on the data.If we have the power to add such indicators, it will lead to the discovery of new knowledge and innovation.

　Professor Yasuhiro Tsujimura of the Department of Information and Media Engineering, Faculty of Advanced Engineering, says, "What is required for data science is basically mathematical power centered on statistics and the" eye "to see the data."The "eyes to see" is very important to look at things from existing data from a different perspective and extract new information, and although it is not something that can be easily learned, it is curious and critical of the analysis results. He says that it is important for education to cultivate the "eyes to see" by accumulating the process of looking at it from a different perspective, examining it by yourself, and confirming it.

　Of course, there is a lot of information that can be obtained from the processed data, but that may reduce the opportunity to discover new findings on your own.

　While global companies in the United States occupy most of the AI ​​platform market, even if the business model itself is not so new, it can be expanded, scaled up, and complicated in multiple dimensions. From now on, it will be important to be able to generate value, and corporate needs are high.

　Data scientists are required to use a variety of methods to catch up with information and create new opportunities.

 

→Systematize and acquire through project-type learning and practice

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Nippon Institute of Technology

"New era of actual engineering" Education that changes, philosophy that does not change

Nippon Institute of Technology, which opened in 1967, is developing its own "practical engineering" learning, such as taking specialized experiments, practical training, and drafting subjects from the first year.Currently, the Faculty of Core Engineering, the Faculty of Advanced Engineering, and the Faculty of Architecture are organized into 3 faculties, 7 departments, and 2 courses, and inherit and develop traditional practical engineering education.Looking to further deepen practical engineering education […]

→ Details of Nippon Institute of Technology

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