Shiga University, with origins from 1875, is a national university known for its Faculty of Economics and Faculty of Education, but also has a Faculty of Data Science, one of the first in Japan. This focuses on data science.
Address: 1-1-1 Banba, 522-8522 Hikone, Shiga, Japan
Data Science, Economics (with quantitative focus)
Domains taught:
- AI and Machine Learning, Computer Vision, Data Analytics, Ecology and Sustainability, Life Sciences, Logistics, Manufacturing, Mathematics, Process Control, Project Management, Quality, Robotics, Signal Processing, Software Engineering, Statistics, Telecommunications, Transportations
Diplomas*:
- Bachelor, Doctor, Master
Status:
- Public
Partnerships:
Pioneering Faculty of Data Science in Japan. Collaborations with industries for data analysis projects.
Research:
Big data analytics and AI, Statistical modeling and machine learning, Data-driven decision making in business and social sciences.
Famous Alumnis:
N/A
International recognition**:
Number of staff***:
500
Current students***:
5000
Foreign students***:
N/A%
Cumulative former students***:
N/A
Pros
Leading in data science education in Japan, strong focus on a high-demand field.
Cons
Primarily known for economics and education, data science is a newer but prominent addition.
Best For
National university with a pioneering Faculty of Data Science.
- Official Linkedin
- Official Facebook
- Official X / Twitter
- Linkedin Alumni Page
- Artificial Intelligence (AI), Continuous Improvement, Machine Learning, Predictive Maintenance Algorithms
*: without any judgment of the quality, readers are strongly encouraged to check the official status of the exact diploma envisioned as many universities have a mix of recognized diplomas, not recognized, “co-delivered,” “equivalent to”, “some pathways” (…), can change over time, and can be named differently from one country to another.
**: international reputation: is based on some criteria that do not mean much in some domains or specialties (number of researchers, of scientific publications, on budget ….). Our approximate 1-4 scale:
- known locally
- known locally and internationally
- is listed in some of the world university’s classifications
- is listed among the 20 firsts in some of world university’s classifications
***: estimated numbers, based on online sources and/or feedbacks. The numbers can vary greatly depending on school organisation (ex.: school is part of a group, it employs internal staff or external consultants or has public staff without employing them …). Refer to all the links provided to have accurate and updated numbers.
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