Bachelor of Science in Data Science & Health Analytics

by Massachusetts College Of Pharmacy And Health Sciences Claim Listing

This program prepares you for a career in a growing field within the healthcare industry, where organizations ranging from hospitals to technology companies to biopharmaceutical companies increasingly employ experts in data science and analytics.

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Course Details

This program prepares you for a career in a growing field within the healthcare industry, where organizations ranging from hospitals to technology companies to biopharmaceutical companies increasingly employ experts in data science and analytics. 

Harness Data to Improve Health

  • If you are interested in working at the intersection of data science and healthcare, two rapidly growing areas, then consider this four-year, full-time program on the Boston campus. The rigorous curriculum will cover data science fundamentals such as statistical modeling, analytics, data management, and data manipulation in addition to introducing you to unique challenges and practices of the healthcare industry. At MCPHS, students learn from and with peers studying a variety of distinct, yet related disciplines, providing unique opportunities for collaboration—including through hackathons—that will position you for success. The final year of the program includes a practical experience at a health or life sciences company in the Boston area, a global hub for innovation in the sector. Graduates will be ready to transform healthcare through programming, data representation, and applied machine learning.

Upon completion of the program, students will be able to:

  • Apply fundamental principles of health data science, including statistical modeling, data management, and data manipulation, to identify patterns and gain actionable insight to address challenges in industry, life sciences, and healthcare.
  • Design workflows and applications as solutions to complex challenges in healthcare delivery.
  • Collaborate across teams and functions to define problems, identify appropriate data, analyze sufficiency, and create visualizations to support communication and decision-making.
  • Communicate effectively about properties of computer coding, task workflows, databases, and issues with data, including sufficiency, representation, and distribution.
  • Explain machine learning, algorithms, and ethical challenges they represent in context with data science and their impacts on society.
  • Evaluate data integrity and sufficiency and critically question analytical methods and approaches to manipulation across large data sets.
  • Describe critical insight derived from data.
  • Boston Branch

    179 Longwood Ave, Boston

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