#Big data health informatics professional#
Exam Eligibility: Completion of the CAHIIM-accredited master’s program entitles you to sit for professional certification exams offered through the American Health Information Management Association (AHIMA), such as the Certified Professional in Health Informatics (CPHI™) and the Certified Health Data Analyst (CHDA ®) exams.BU MET’s information security programs are certified by the Committee on National Security Systems (CNSS). Recognized & Certified: Boston University is recognized by the National Security Agency and the Department of Homeland Security as a Center of Academic Excellence (CAE) in Cyber Defense and Research.Accreditation: BU’s master’s degree in Health Informatics is the first such program in New England to be accredited by the Commission on Accreditation for Health Informatics and Information Management Education ( CAHIIM).Learn More Why Earn a Master’s in Health Informatics at BU? Stay connected! Learn more about our program. All inquiries about the program’s accreditation status should be directed by mail to CAHIIM, 200 East Randolph Street, Suite 5100, Chicago, IL, 60601 by phone at (312) 235-3255 or by email at Information The College’s accreditation for the master’s degree in Computer Information Systems, Health Informatics concentration, has been reaffirmed through 2027. The Health Informatics accreditor of Boston University’s Metropolitan College is the Commission on Accreditation for Health Informatics and Information Management Education ( CAHIIM). 71% of students entering the program in 2015–20–2017 have graduated as of 2019–2020.83% of students starting summer 2019 through spring 2020 registered for a subsequent semester and 75% registered for the next academic year.90% of students graduating summer 2019 through spring 2020 were employed within 6 months.92.6% of students enrolled in Health Informatics courses spring 2019 to fall 2020 reported a satisfaction level of 3 or above on a scale of 1 to 5 (5 being most satisfied).The opportunity to add a concentration in Applied Data Analytics prepares you to compete for critical roles in the fast-growing area of data analytics and visualization.Īccess to BU MET’s Health Informatics Research Lab (HILab) allows you to tap into collaborative research and development in medical informatics, bioinformatics, and clinical research.īU MET’s Health Informatics Program by the Numbers As a graduate of the MSHI program, you will have a solid knowledge of healthcare IT systems and EHRs, and command of the latest medical technologies. The primary focus of the Boston University Health Informatics master’s program is on electronic medical data generated and stored in healthcare and public health organizations.
With the enormous potential of data analytics and visualization in the healthcare field, there is rising demand for highly trained IT professionals familiar with quantitative approaches across all fields within the health sciences, who can take data and make it understandable and available to health professionals. Advance Your Career with a Master’s in Health Informatics *Based on 2022–2023 Boston University tuition and fees. Tuition & Fees-Part-Time Study*: $26,320.
The deployment of EHRs relies upon professionals who possess interdisciplinary knowledge of healthcare and information technology-and who can develop effective algorithms, analyze big data, and provide tools to help visualize that data for end-users. Over the last decade, massive introduction of electronic health records (EHRs) has revolutionized healthcare by enabling physicians and care providers to access comprehensive patient records and treatment history. Back to Programs Curriculum Faculty Apply Now Request Information Hone Skills to Analyze and Visualize Healthcare DataĪvailable online and on campus, the Master of Science in Health Informatics (MSHI) concentration in Applied Data Analytics at Boston University’s Metropolitan College (MET) builds upon the eight-course health informatics curriculum to focus on healthcare data processing, analysis, and visualization.
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