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Master of Science in Data Science and Analytics with an Emphasis in Geospatial Analytics

USA

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What will I learn?

Learn to unlock the transformative possibilities of data for the health care and biohealth industries. The University of Missouri (Mizzou) adapts the online master of science in data science and analytics degree program to shifts in data usage and technologies, exposing professionals from a range of backgrounds and skill sets to the latest tools, techniques and industry-specific applications. The biohealth analytics emphasis area centers around the knowledge needed to draw insights from the growing amount of health care data available to shape patient care delivery, pioneer advancements through research, better understand the functions and behaviors of humans and diseases and ultimately change lives.

Mizzou’s online master’s in data science and analytics with an emphasis in biohealth analytics is geared toward curious, ambitious health care, population health and research professionals striving to drive innovation. This multidisciplinary program strengthens your foundational skills with a core covering key tools, mathematically rooted competencies and technologies like machine learning and visualization methods for communicating your findings to a range of audiences. In the process, you broaden what you know about big data’s applications and receive job-ready hands-on experience.

From here, you’ll explore data science and analytics’ applications in the medical, biohealth and health care fields through three courses immersing you in related technologies and standards. Hands-on learning is integrated from the start, with world-class faculty and industry leaders guiding your progress. You’ll then showcase the full breadth of your knowledge and acquired skills with a case study and capstone.

Biohealth analytics courses

As you transition to the emphasis area, you’ll explore data science and analytics in the context of processing, mining and assessing medical records, genomics data and other health care information. Courses go over:

The foundation of genomics and bioinformatics, including analyzing DNA, genes and proteins

Health care data science, including regulations, dissemination and statistical analysis involving health data

Advanced health data science, including in the context of research, clinical trials and machine learning

Career prospects

Continue growing your skills as a health care or research professional. Mizzou designed the online master’s in data science and analytics to help tomorrow’s workforce understand the power and specific applications of big data, from its capabilities to how findings can influence organization- and industry-level decision-making and outcomes.

The biohealth analytics emphasis focuses on these applications in the broad context of the health care field, including for hospitals, insurance companies, pharmacology, agriculture, research, health information systems, genomics, biomedical engineering, laboratories, public health, genetics and computational biology.

Potential job titles include:

Operations research analyst

Biomedical informatics

Nurse informatics

Data science analyst

Performance analyst

Which department am I in?

University of Missouri

Study options

Online/Distance with attendance (34 Hours)

Tuition fees
$16,711.00 (14,09,973) per year
Estimated cost: USD $33,422
Start date

September 2025

Venue

University of Missouri

230 Jesse Hall,

COLUMBIA,

Missouri,

65211, Midwest, United States

Entry requirements

For international students

Completed baccalaureate or advanced degree from a regionally accredited institution.

Minimum GPA of 3.0 in the last 60 hours of undergraduate education.

If English is not your native language, please submit a TOEFL score of at least 80 (internet-based test), an IELTS score of at least 6.5, a Pearson Test of English (PTE) score of at least 59 or a Cambridge C1 Advanced score of at least 180.

GRE scores are not required.

Application Deadline: Fall: June 11

*There may be different IELTS requirements depending on your chosen course.

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