Faculty of Information Science and Engineering

Designing a future beyond imagination using information science and engineering

In recent years, the appearance of the IoT* devices and wearable terminals and the spread of smartphones and tablets have made a variety of things in the real world capable of providing internet services. In addition, new ways of making things that use artificial intelligence technology, robots, and digital fabrication technologies like 3D printers have started to spread through the society. This faculty aims to cultivate highly specialized engineers who have a solid foundation in information science fields and who can meet the diverse needs that have arisen due to the changing times.
*IoT: Internet of Things

Point1: Systematic curriculum based on the course system

Ten courses were established where students can systematically learn in each characteristic field using a curriculum that is focused primarily on information science and that combines design, electrical engineering, mathematics, and neuroscience (neurology). It is possible for the students to get an interdisciplinary education by taking several of these courses.

Point2: Getting practical experience and going to many lectures to properly learn knowledge and skills

The faculty members teach all three levels in the program: the basic level where students extensively study the fundamental skills of information science and engineering, the advanced level where students learn the specialized skills in each of the courses, and the final level where students complete their degrees by working on their individual research topics. In all the levels, the content learned in the lectures is practiced through experiments and seminars, and the students truly acquire the skills and knowledge.

Point3: Detailed education through instruction with small class sizes

There are approximately six students per teacher. This university provides top-class education with small class sizes, notable even among private universities. With the help of detailed guidance given to each individual, future innovators, who can make independent efforts in the research in their specialized fields and who have the ability to take on new challenges, are cultivated.

Course introductions

Choose from 10 courses in demand in the current time based on interests and future path.

Choose one course to deepen understanding of the specialized field or choose several courses and acquire a wide variety of knowledge and skills.
Skills can be improved with certainty according to the course model.

For example, these combination and futures

  • Digital fabrication course × media processing technology course × information systems course = Creating net services that use new IoT supplies
  • Data science course × information security course = creating systems that automatically detect unknown problems or dangers in a business or factory

Network systems course

Supporting the evolution of the internet society using IT infrastructure

Students learn the skills related to the design, development, and operation of IT infrastructure like computer networks and computer server environments. This course aims to develop engineers who support the internet society that continues to evolve through things like increased access points, increasing telecommunications data, and permeation of the IoT.

Information security course

Protect increasingly complex systems using security technology

Students learn about security technologies like software, hardware, and networks that are essential for complex systems. In addition, this course develops the abilities to administer and manage systems from a security perspective while simultaneously understanding the societal challenges.

Data sciences course

Making artificial intelligence and big data useful for problem solving

Students learn machine-learning technologies that are employed in robotics as well as the technologies and techniques for analyzing big data that are connected with discovering new businesses and points that are problematic. This course trains data scientists and artificial intelligence engineers who have mathematical aptitude.

Robot interaction course

Establishing a better relationship where humans and robots coordinate in harmony

Students learn to design nursing support robots for hospitals, cashier robots for shops and businesses, cleaning robots for homes, drones for delivering products, and self-driving cars. They learn to design cooperative tasks for humans and robots and interactive responses. They also take on the challenge of designing and customizing service systems.

Computer circuit board design course

Contributing to every field in information systems with circuit board technology

Students learn practical skills including design and circuit board technologies for networks, hardware and software based on information sciences, and information engineering. This course trains capable individuals who can design, operate, and customize information systems and every type of software.

Integrated systems course

Discovering the possibilities for the IoT devices that surround us

Students explore the possibilities for the IoT devices that incorporate artificial intelligence technology ranging from electronics to clothing and daily articles. They learn about integrated technology through software development and circuit and machine design centered on electronics and integrated computers.

Digital fabrication course

Creating a new culture though the development and application of fabrication technologies

Students learn practical skills by doing everything from utilizing machines like 3D printers and laser cutters to system design in smart environments, IoT devices, and wearable computers. This course trains capable people who will lead the way for the fabrication society (maker culture) that is expected to develop.

Neuroscience course

Connecting the workings of the brain to computers and attempting to develop machines that support humans

Students gain an understanding of the biological structures of information processing and learn about the workings of the body and brain. At the same time, they learn computer technologies including network systems and connect this to designing and developing medical devices, IoT devices, and welfare devices that coordinate with the workings of the brain.

Media processing technology course

Exploring new applied technology from CG to simulations

Students investigate applied technologies from basic technologies for processing information media, the sound and video of games, or SNS to AR (augmented realities) and VR (virtual reality).
This coursed aims to apply these technologies to entertainment, sports, and business.

Information systems course

Supporting business activities and designing and developing IT systems

Students approach not only the traditional information systems used in businesses but also new technologies like IT infrastructure and artificial intelligence. This course trains the next generation of systems engineers who will design, develop, and operate strategic business systems.