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Students
Tuition Fee
Start Date
Medium of studying
Duration
Program Facts
Program Details
Degree
Bachelors
Major
Health Informatics | Health Information Management | Health Information Technology
Area of study
Health
Course Language
English
About Program

Program Overview


The University of Illinois Chicago's BS in Data Science with Health Data Science Concentration equips students with the skills to analyze and interpret health data effectively. The program combines a strong foundation in data science with specific knowledge and tools relevant to the healthcare domain, preparing graduates for careers in clinical research, public health, and health informatics. Delivered through a hybrid format, the program offers opportunities for research projects, internships, and professional certification preparation.

Program Outline


Degree Overview:

The BS in Data Science with Health Data Science Concentration at the University of Illinois Chicago aims to equip students with the necessary skills to analyze and interpret health data effectively. The program combines a strong foundation in data science with specific knowledge and tools relevant to the healthcare domain. This concentration prepares graduates for careers in various fields within the healthcare industry, including clinical research, public health, and health informatics.


Outline:


Course Breakdown:

  • General and Basic Education Requirements: 37 credit hours covering foundational subjects in writing, mathematics, foreign language, and other core areas.
  • Core Courses: 57 credit hours comprising programming, data structures, algorithms, ethical issues in computing, statistics, and database systems.
  • Health Data Science Concentration Requirements: 17 credit hours focusing specifically on health data science concepts, including medical terminology, healthcare systems, health informatics, and analysis of health data.
  • Free Electives: 9 credit hours to allow students to personalize their learning and explore additional areas of interest.

Course Schedule:

The sample course schedule outlines a potential four-year plan for completing the program. This includes specific recommendations for courses in each semester, ensuring students fulfill all degree requirements.


Individual Modules:

The concentration courses delve into various aspects of health data science, including:

  • BHIS 428: Consumer Health: Engaging Patients Through Technology: This course explores the use of technology to empower patients and improve health outcomes.
  • BHIS 460: Introduction to Health Informatics: This course introduces the principles and concepts of health informatics, including data collection, analysis, and management.
  • HIM 337: Analysis of Health Care Data: This course provides students with the skills to analyze and interpret health data using various methods and tools.
  • However, it is likely that the program utilizes a combination of assessments, including:
  • Assignments: Projects, problem sets, and written assignments to test application of knowledge and skills.
  • However, it is likely that the program utilizes a combination of teaching methods, including:
  • Lectures: Traditional lectures delivered by experienced professors to introduce key concepts and theories.
  • Hands-on exercises: Practical exercises and labs to provide students with experience applying data science techniques.
  • Collaborative learning: Group projects and discussions to foster communication and teamwork among students.
  • Guest speakers: Invitations to industry professionals to share real-world insights and experiences.

Careers:

Graduates of the BS in Data Science with Health Data Science Concentration are prepared for diverse career opportunities in the healthcare industry, including:

  • Clinical research: Analyze clinical trial data to improve patient care and treatment.
  • Public health: Utilize data to track and prevent diseases, promote healthy behaviors, and improve population health.
  • Health informatics: Develop and implement systems for collecting, storing, and analyzing health data.
  • Biostatistics: Apply statistical methods to analyze health data and interpret research findings.

Other:

  • The program is delivered through a hybrid format, combining online and face-to-face instruction.
  • Students have opportunities to participate in research projects and internships to gain practical experience.
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