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Advanced Health Data Analytics Master's
Master of Science (M.S.)
Program type:
Major
Format:
On Campus
Online
Est. time to complete:
1-2 years
Credit Hours:
30
Chart a path into one of the fastest-growing fields in the country with a master’s
degree in Advanced Data Analytics with a concentration in Health Data Analytics.
Health care providers need experts who can analyze complex patient and operational
data to support better patient outcomes and deliver improved services. Combining health
care, big data analytics, machine learning, cloud computing and data visualization
with real business case studies, this degree will help you advance in your current
job or help launch a new career in an expanding job market.
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Request More InfoWhy Earn an Advanced Health Data Analytics Master's?
UNT’s 30-hour Master of Science in Advanced Data Analytics with a concentration in Health Data Analytics provides the breadth and depth of experiences you need to succeed in the exciting field of health care analytics.
Combining health care analytics learning experiences, big data analytics, machine learning, cloud computing and data visualization with real business case studies, this degree will help you advance in your current job or help launch a new career in an expanding job market.
Marketable Skills
- How to derive actionable insights from health care data
- How to identify data features and build predictive models
- How to deploy cloud-based tools for storing and wrangling data
- How to create data visualizations for effective business communication
- How to apply cloud-based machine learning tools
Advanced Health Data Analytics Master's Highlights
All of our core courses are also offered in accelerated 8-week sessions during the
fall, spring and summer.
The accelerated online option provides five start times per year. Fall semester: August
and October; spring semester: January and March; and summer term: June.
Students can complete their degree in as few as 12 months by choosing the accelerated
online course format.
Students can also choose to take a concentration consisting of 18 hours of core coursework
with 12 hours of coursework in their concentration area.
Available concentrations include: digital retailing, health data analytics, management
and statistics.
For students who want in-person experience, our core courses are offered at UNT at
Frisco and our main campus in Denton during the traditional 16-week semester in the
fall and spring semesters.
What can you do with a degree in Advanced Data Analytics?
Industries need experts who can analyze and interpret data to help them understand their risks, increase their profits and grow their businesses. Break into the in-demand field of data analytics and make yourself more valuable to employers with a master's in Advanced Data Analytics (ADTA).
Combining big data, statistics and data visualization, this degree will give you a sophisticated understanding of how to use data and quantitative techniques to help your organization improve its processes.
Advanced Health Data Analytics Master's Courses You Could Take
Financial Issues in Health Services Administration (3 hrs)
Presents a broad overview of healthcare finance and focuses on tasks that are essential
to the operational management of healthcare services, including estimating costs and
profits, planning and budgeting, analyzing new equipment purchases, using metrics
to monitor operations, and working with financial statements.
Marketing Health Services (3 hrs)
Reviews the legal, regulatory and economic forces that shape the marketing of health
services in today’s environment.
Large Data Visualization (3 hrs)
Presents strategies and methods for effective visualization and communication of large
data sets.
Harvesting, Storing and Retrieving Data (3 hrs)
Provides an introduction to collecting, storing, managing, retrieving and processing
data sets.
Discovery and Learning with Big Data (3 hrs)
Examines the latest methods for discovery and learning from large data sets.
Information Systems for Healthcare Management (3 hrs)
Overview of entire subject of computer and data applications in clinical and integrated
services.
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