Introduction to Major – Healthcare Data Science and Artificial Intelligence
Department of Healthcare Convergence, College of Future Convergence
Healthcare Data Science and Artificial Intelligence
To foster talents who lead the fourth industry based on practical knowledge for medical field and data analysis skills.
031-850-8993
Healthcare Data Science and Artificial Intelligence
Major Overview
Objectives
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To foster ‘medical data experts’ who connect and converge IT and medical fields with AI and data-related knowledge and medical knowledge.
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To foster ‘data scientists’ who create services in response to social demands based on data analysis and practical knowledge on data science, such as data collection, processing, analysis, and utilization.
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To foster ‘AI convergence experts’ who utilize AI on various industrial issues based on programming skills.
Distinctive Features
- Similar/Related Department (Major) in Other Schools
- Dept. of Medical Artificial Intelligence, Dept. of Artificial Intelligence and Medical Convergence, Dept. of Bigdata and Medical Convergence
- CHA University’s Special Features
- – Suggest AI visions through analysis of future technologies
– Foster practical talents in medical bigdata field - – Provide field education by utilizing medical infrastructure in connection with CHA Hospital Group’s joint industry-academy-research cooperation.
- – Foster convergent knowledge on BT, IT, and medical science
- – Foster future-oriented and creative experts
Requirements for Course Completion
You must meet at least one of the following criteria
- Acquisition of Major-Related License
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- Acquire at least one license required by the department (Advanced Data Analytics Semi-Professional, SQL Expert, Engineer Big Data Analysis, Etc.)
- Comprehensive Examination
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- Get at least 70/100 in comprehensive examination
- Completion of Capstone Project
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- Complete capstone project course and submit works
- Contest Awards Inside or Outside School
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- Win awards inside or outside school
Major Ability
| Career | Major Ability | |
|---|---|---|
| Medical Data |
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| Data Science |
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| AI Convergence |
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| Digital Healthcare |
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| Genome and Proteome Bigdata Analysis |
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| Business Analytics |
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Recommended 1st and 2nd Major
1st Major
2nd Major
Convergence Career Field
Healthcare Data Science and Artificial Intelligence
Systems Biomedical Science
Genome and Proteome Bigdata Analysis
Business Administration
Business Analytics
Digital Healthcare
Digital Healthcare
Healthcare Data
Healthcare Data
Psychology
AI Convergence Psychology
Related License
- ADsP, ADP
- Data Analysis Technology Assessment License
- AI Edutech Expert
- SQLD, SQLP
- AI Consultant
- Professional AI Instructor
- AI Start-Up Instructor
- AI Engineer
Career After Graduation
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Medical Data
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Data Science
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AI Convergence
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Convergence Digital Healthcare
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Convergence Genome and Proteome Bigdata Analysis
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Convergence Business Analytics
Career Introduction
Medical Data
Duties
- To standardize medical information, establish medical information system, generate, manage, and analyze precision medical bigdata, and expand to medical information system companies and hospitals.
- To analyze and generate valuable healthcare data (hereinafter referred to as “data”) and information, including corporate and systematic quality control and safe use and management of medical information.
Future Prospects
- With active utilization of bigdata in healthcare field and increasing demand for construction of standardized medical information system to share patient information smoothly, the demand for related manpower is expected to increase.
Data Science
Duties
- To use statistical analysis, deep learning, etc., to derive trend or insight embedded in data.
- To provide solutions, improve, and create new added values through process of acquiring (collecting, converting, storing), refining, modeling, analyzing/visualizing massive amount of data.
Future Prospects
- The active utilization of bigdata in government, public institutes, and private companies for higher efficiency and productivity resulted in rapidly increasing demand for bigdata experts.
- Especially, introduction of My Healthway system and active government-private company drive for Personal Healthcare Record (PHR) ecosystem creation is expected to rapidly increase the demand for manpower who manage massive amount of data and construct platforms.
AI Convergence
Duties
- To lead technical utilization to solve any issue in AI’s replacement of doctor’s duties.
- To work on various duties with ability to utilize AI technologies based on a holistic view of future AI technologies.
- To prepare documents on technical planning and development assistant technologies for AI start-ups.
Future Prospects
- Considering the replacement of doctors in CT, MRI, and image diagnosis fields, there will be changes in overall medical fields.
- Diverse technical companies are emerging, and related talents are likely to show leadership in these companies.
Digital Healthcare Convergence Career
Duties
- To incorporate AI, bigdata, IoT, and software technologies with healthcare field to develop healthcare software and provide intelligent service.
Future Prospects
- The global digital health industry scale recorded 152 billion dollars in 2020, and it is expected to show rapid growth and reach 508 billion dollars by 2027.
- The digital healthcare field is rising as a solution for various pending issues, such as increasing medical expenditure, aging society, and health management, and the demand for related manpower is expected to increase rapidly.
Genome and Proteome Bigdata Analysis Convergence Career
Duties
- To use experimental tools to collect and process signals and develop a tool that finds signatures and pattern match in complex data set.
- To use a tool to find gene that plays a key role in DNA sequence and analyze the relationship between gene and certain diseases.
Future Prospects
- The job opening for genome bigdata analyst is expected to increase by 2026.
Business Analytics Convergence Career
Duties
- To create new business and innovate business through data-based analysis techniques, plan business analysis project, collect, preprocess, and visualize data, and support decision-making for better outcomes.
Future Prospects
- The domestic bigdata and analytics market sales scale is expected to reach 2.29 trillion dollars in 2021, record annual average growth rate of 6.9% for the next five years, and reach 2.83 trillion dollars by 2025.