Data Science + Health Sciences B.S.

The Bachelor of Science in Data Science + Health Sciences provides students with a comprehensive set of skills and knowledge to pursue diverse careers at the intersection of technology, healthcare and data analytics. The curriculum emphasizes statistical methods, data visualization and big data processing, which are essential for effective data analysis and interpretation. Students also develop strong written and verbal communication skills, a solid understanding of healthcare systems and medical terminology, and ethical decision-making capabilities through specialized courses in data ethics and health informatics. Through this interdisciplinary approach, graduates will be equipped to leverage data-driven solutions and technology to improve patient care, streamline operations, advance personalized medicine, and enhance health outcomes. 

JOB OUTLOOK 

Students graduating with this degree are uniquely prepared for roles such as health informatics specialist, clinical informatics analyst, biostatistician, bioinformatics scientist, data scientist, and healthcare machine learning specialist. Students’ deep understanding of healthcare systems, medical terminology and data ethics also makes them ideal candidates for positions like healthcare IT project manager, informatics manager, and pharmacy informatics specialists.


Annual Wage Information

According to the Bureau of Labor Statistics, Data Science is forecasted to grow 34% from 2024 to 2034. The median pay for this group is $112,590 per year (Occupational Outlook Handbook, 2024). The 2024 annual median wage for Ohio for this profession is $98,620 with an entry level wage of $60,500 (Occupational Employment and Wage Statistics).

 

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CURRICULUM

Curriculum pending approval. Courses subject to change.

General Required Courses

  • ENG 101: College Writing I (3)
  • ENG 100: Intensive College Writing (3)
  • ENG 102: College Writing II (3)
  • ESC 100: New Student Orientation (1)
  • MTH 181: Calculus I (4)
  • MTH 148: Business Calculus I (3)
  • MTH 182: Calculus II (4)
  • MTH 149: Business Calculus II (4)
     

Data Science Required Courses

  • CIS 151: Invitation to Computing (3)
  • CIS 260: Introduction to Programming (4)
  • CIS 265: Data Structures and Algorithms (4)
  • CIS 390: Intro to Algorithms (3)
  • CIS 430: Database Concepts (3)
  • CIS 467: Artificial Intelligence (3)
  • DSA 230: Introduction to Data Science I (3)
  • DSA 330: Introduction to Data Science II (3)
  • DSA 460: Data Mining (3)
  • DSA 469: Big Data Processing Systems (3)
  • DSA 492: Special Topics in Data Science Capstone Course (3)
  • MTH 220: Intro to Discrete Mathematics (3)
  • PHL 216: Data Ethics (3)
  • STA 323: Statistical Methods (3)
  • STA 347: Applied Statistics (3)
  • STA 400: Data Visualization (3)
  • STA 431: Categorical Data Analysis (3)
     

Health Sciences Required Courses

  • BIO 266: Human Anatomy and Physiology I (3)
  • BIO 267: Human Anatomy and Physiology Laboratory I (1)
  • HCA 150: Intro to Healthcare Management (3)
  • HCA 301: Revenue Cycle in the American Health Care System (3)
  • HCA 420: Management of Health Care Organizations (3)
  • HED 210: Healthy Lifestyle Choices (3)
  • HED 360: Health Promotion in the Workplace (3)
  • HED 472: Consumer Health (3)
  • HSC 200: Introduction to Health Sciences (3)
  • HSC 203: Medical Terminology (1)
  • HSC 305: Culture and Healthcare (3)
  • HSC 444: Social Issues in Health Care (3)
     

Data Science Elective Courses

  • IST 305: Info Tech for Competitive Advantage (3)
  • IST 352: Health Information Technology Application (3)
  • IST 452: Managing Healthcare Information Technology (3)