Media Science Program

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Change in society is continually driven by not only conventional forms of media such as TV broadcasts and newspapers, but also social media based on individual transmissions and content and media technologies that organically fuse video and computer graphics. In the Media Science Program, students learn about producing video, animation, and game content, as well as state-of-the-art media information technologies based on video, CG, audio and sound media processing technologies. In doing so, they acquire the ability to create innovative media content of their own. Students also learn about advertising design services and media communication technologies such as marketing and digital signage, and they acquire the ability to create methods for resolving social problems and creating new businesses and social services.

Features

Learning about Media Information Processing Technology and Media Communications

In this Master’s Program, to acquire high-level content production abilities, students learn about media information processing fields such as computer graphics, image processing, media signal processing, and audio processing, and media communication fields that handle such areas as language processing, communication, internet technology, sensing technology and media content. On the basis of such learning, students acquire the ability to develop such things as smartphone and tablet content, multimodal broadcasting information infrastructure, and applications.

Learning about Content Innovation

Based on digital media technologies, this Master’s Program nurtures expressive ability and originality geared to producing video images, web content, and interactive content.Students also learn methods for producing and utilizing content in broad-ranging social settings. A wide range of fields are targeted, including entertainment, business, education, medicine, international development, NGOs and more. Research based in demonstration experimentation is conducted, such as the production or evaluation of content that can impart order or emotional impact through applied experimentation using cutting-edge content and media technology capable of aiding in the resolution of social issues.

Learning about Advertising Innovation

Next-generation media technologies and appealing content facilitates innovation through linking people and expediting the union of ideas with entrepreneurship via unconventional methods. Advertising innovation can be found not only on the internet or in global networks, but also in more immediate areas such as community development, local shopping areas, and schools. In this Master’s Program, students learn advertising innovation that makes use of media technology, advertising services, and content.

Main Subjects

Research Project Subjects

Research Planning in Media Science, Research in Media Science I, Research in Media Science II, Research in Media Science III

dents set and plan themes and conduct research under the guidance of a tutor and over the two-year duration of the program. At the end of each semester, research presentation meetings are held so that students can present their research progress and achievements. At the end of two years of study, students write a master’s dissertation as the culmination of their research or create a tangible output of their creative efforts.

Specialist Subjects (example)

Visual Content Creativity

In the modern-day media-oriented society, “visual content” is a major driving force. A huge power shift is occurring from pre-existing media such as television, newspapers and movies to the social media that more intimately connects individuals. In this environment, anybody can become a content giver and so he sharing of information has acquired greater social importance. This course is composed of two themes: “Content planning and production” and “Conveyance of culture through distribution of content”.

Advanced Speech Processing

In the media processing of recent years, the framework of so-called machine learning, whereby computers automatically extract principles and laws from large quantities of data, has come to play an important role. In this course, students learn how various methods of machine learning are used with respect to audio and acoustic data. They also learn about such areas as data collection, labelling, extraction of characteristics and evaluation experimentation in preparation for performing machine learning.

Ad ×Tech

Students conduct research into new forms of advertising. Starting from the basics, they come to understand advertisements from diverse perspectives, including psychological and business based perspectives.

Faculty Profiles

Takashi OHTA

Human Computer Interaction

Yasunari OBUCHI

Acoustics and Speech Processing

Masanori KAKIMOTO

Computer graphics, Image processing

Tsukasa KIKUCHI

Contents innovation

Shungo SAKAKI

Macroeconomics

Miki SHINDO

Internet Marketing

Yuriko TAKESHIMA

Computer Visualization

Takuya TERASAWA

Computer Network/Internet, IoT (Internet of Things), Machine Learning

Hisakazu HADA

Media Art

Shinsuke MATSUNAGA

Instructional Media

Koji MIKAMI

Production Technology for Game, Anime, VR and so on

Akiko YAMAZAKI

Interaction Analysis, Multi modal analysis, Conversation Analysis / Sociology

Taichi WATANABE

Game Technologies, Real-Time CG

Mizuho IINUMA

Media and Society

Mika ENOMOTO

Study of Multimodal communication / Linguistic Psychology, Conversational Analysis, Corpus Linguistics

Ikuko TSUBAKI

Image information processing

Minoru FUJISAKI

Creativity of Advertising

Kimiya FUJISAWA

GIS, Online service, AI

Miyuki MORIKAWA

Digital Journalism

Yoshihisa KANEMATSU

CG Animation, Support Method for Direction, Scenario Writing and Character Making

Hideki YOSHIOKA

Contents Business

Kunihiro KATO

Human-Computer Interaction

Kai LENZ

Content production technology

Seung-Tak Noh

Computer Graphics