Health × Data Science
Healthcare will be revolutionized by the leadership of health data scientists
The rapid advancement of Information and Communication Technology has brought considerable focus to the field of “data science”. Data Science involves the collection and analysis of vast amounts of information, commonly referred to as Big Data. It has
gained significant attention due to its ability to effectively process Big Data and accurately analyze the essential information obtained from diverse domains including medicine, sports, business, administration, and education.
Data science is an interdisciplinary field that involves proficiencies in statistics, mathematics, and computer science. Leveraging these skills, researchers have been actively investigating the integration of “Artificial Intelligence” in healthcare applications, which has improved the efficiency and accuracy of diagnosis and treatment. Data science is anticipated to have a significant impact on enhancing healthcare services and technology in the future.
Why Juntendo?
With Japan's transition into a super-aging society, the importance of increasing healthy life expectancy and delivering top-notch healthcare services has grown significantly. Concurrently, advancements in technology have enabled the collection of vast amounts of data from various sources. In sectors like healthcare and sports, there is a pressing need to devise innovative solutions driven by data analysis. Anticipating these global shifts, Juntendo University established the undergraduate program of the Faculty of Data Science in April 2023.
Juntendo University, established in 1838, has made remarkable contributions to the progress of medicine, healthcare, and sports in Japan, drawing upon a robust foundation of extensive knowledge and experience. Over the years, the university has collected
vast repository of data in the fields of medicine, healthcare, and sports. Leveraging this rich background, our faculty is committed to offering a distinct education that integrates data science, healthcare, and sports.
The Faculty of Health Data Science is at the forefront of providing education and training to aspiring health data scientists.
The Faculty of Health Data Science is at the forefront of providing education and training to aspiring health data scientists.
Curriculum Focuses on Fostering Practical Skills
The curriculum in this faculty has been specifically designed to cultivate practical skills that are essential to address the challenges of our era and the future generations.
In the first and second years, students focus on building their foundational understanding of health, medicine, and sport, along with fundamental concepts in data analysis encompassing mathematics, statistics, and computer science.
In the first and second years, students focus on building their foundational understanding of health, medicine, and sport, along with fundamental concepts in data analysis encompassing mathematics, statistics, and computer science.
In the third and fourth years of their studies, students have the opportunity to conduct research in their preferred fields and can also engage in internships at partner research centers, including Juntendo University Hospitals, and companies. These experiences
enable students to acquire practical and applied skills by actively engaging with the “Real-World data”. Juntendo University is renowned as one of the leading medical universities in Japan, providing students with a distinctive chance to deal with the
current challenges in the field of healthcare.
Expanding horizons: knowledge without boundaries
Juntendo University has gained global recognition for its esteemed faculty members, known for their extensive expertise in teaching and research. Our faculty also brings together renowned experts from across the globe. Rest assured that you will learn from dedicated professionals who excel in their respective fields, incorporating mathematics, statistics, computer science computer, health, medicine, and sports.
Career Prospects of a Health Data Scientist
Juntendo University stands out as one of the few universities in Japan that offers education in “health” and “data science” fields. The field of 'Health Data Science' offers promising career opportunities, driven by growing global demand. Choosing
a career as a Health Data Scientist can be both fulfilling and rewarding. This profession opens doors to diverse pathways, including roles as expertsin medical institutions, pharmaceutical companies, sports-related manufacturers, IT companies, government
agencies, and more.
A New and Well-Equipped Urayasu-Hinode Campus
Established in April 2022, the Urayasu Campus houses the Faculties of Health Science, Health Data Science, and Pharmacy. With state-of-the-art education and research facilities, the campus offers an enriching environment for study and campus life.
Voices
Student
Expanding horizons through programming and medicineWhen I first entered university, I found R programming difficult to understand, but as I progressed through classes, my comprehension grew and I began to enjoy learning it. Now, while continuing to study programming, I am also actively taking medical-related courses to broaden my knowledge.
I aspire to become a data scientist who can play an active role in the pharmaceutical industry, so I am researching specific disease areas that particularly interest me. I want to think more deeply about what challenges can be solved through the power of data science, especially after joining a research lab from my third year.
Student
An environment that encourages new challenges, unique to a newly established facultySince this faculty was only recently established, both students and professors are filled with the spirit of building its culture from the ground up. I am also actively taking on challenges, such as joining the student council and planning faculty events. Leading a team to victory through the power of data
My dream is to become a dedicated data scientist for a baseball team, supporting the players from the bench. As this field requires knowledge of programming and statistics, I am focusing my studies on data analysis, including graph creation and calculations using R.
