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The 100% online master’s degree in healthcare administration at Lawrence Tech covers the administrative essentials and offers the strategic insights you need to pursue leadership roles in health service and system sectors. In addition to a master’s degree, upon graduation you will also come away with two resumé-friendly graduate certificates: Healthcare Administration and your choice of the Healthcare Data Analytics or Healthcare Data Science. Whatever direction you choose, this program could help you take the next step in your profession and for your career.
Take the Next Step for Your Future!
Accredited by the Higher Learning Commission, count on Lawrence Technological University for educational quality and innovation.
100% Online Programs
Fully online with asynchronous learning means you pursue your graduate degree on your time and your terms.
Career-Advancing Certificates
Earn certificates in Healthcare Administration and Data Analytics or Data Science after finishing
each 15-credit course.
Timely, Not Time-Consuming
The Master of Science in Healthcare Administration is designed to be completed in 12-18 months.
Industry-Relevant Curriculum
College of Health Sciences offers programs to move you from classroom to career in multiple in-demand healthcare fields.
We say the future of health sciences starts here. That includes both your personal journey toward a fulfilling career … and the impact you will make. You want to make a difference, and your interest in this program only proves it. So, as you pursue your graduate degree, know that you join a community of like-minded healthcare professionals and leaders from across the nation. Working with them, as well as your industry-experienced instructors, you will learn how to facilitate collaboration, overcome industry challenges and build your abilities in administration, management, finance, policy and more. You can do this. We are here to help.
Request more information about this exciting new program
Have questions about the Master of Science in Healthcare Administration program or the application process? Our Enrollment Coaches are here to assist! Whether you’re exploring programs, have questions about requirements, or ready to take the next step, we’re just a call or email away.
Course Name
Course #
Credits
Provides an overview of the role and key functions of human resources management in organizations. Topics include human resource strategic planning, job analysis, staffing, training and development, performance appraisal, compensation, retention, labor relations, health and safety, and fairness concerns. Employment law and compliance, employee well-being, globalization and developing trends in human resources are also introduced.
MBA6013
3
Overview of the health services financial framework for decision-making. This includes an overview of business practices and possible digital applications. Possible topics include payment systems in the United States, planning and analysis, third party reimbursement, aspects of healthcare finance regulation, cost containment, rate/price settings, types of budget categories, assessing financial condition, and feasibility.
HHS6053
3
Examination of structures and operational opportunities and challenges in healthcare, concentrating on systems management, evidence-based problem-solving, supply chain management, internal and external stakeholders and strategic tools. Current theories related to holistic care for patient outcomes and use of technologies and machine learning as well as organizational administration are compared and applied to the health care system.
HHS6013
3
This is an overview of current USA healthcare organizational leadership, types, and trends including comparison of current management, organization theories and global health systems. Healthcare public policy-making is analyzed and described emphasizing the historical, philosophical and political aspects of public policy including policy development, analysis and constituent advocacy.
HHS6023
3
Provide opportunity to build the knowledge and skills by utilizing epidemiologic data for evidence-based management in healthcare systems to plan, organize and manage health services. This course focuses on the need for healthcare administrators to evaluate epidemiologic data on incidence and prevalence while addressing the impact of administrative data on cost and quality to improve access and delivery of high-quality services to improve population health.
HHS6033
3
Course Name
Course #
Credits
Course not found.
INT6043
3
This course is designed to introduce students with little or no prior programming experience to the art of programming through the lens of exploring data. Students will build a core foundation in the Python programming language as well as data analysis and visualization. This course is a hands-on, experiential class that students learn by solving actual business problems using Python under the guidance of the instructor. Topics will include programming fundamentals and logic such as variables, input & output, control structures, functions, data types, data manipulation, and object-oriented concepts. Students will apply the Python programming language and essential data science techniques to solve various problems. At the
end of this course, students will complete a final project as a team which cohesively ties together all the covered concepts.
INT6103
3
This course will introduce the basic concepts of data analytics as applied in various business contexts. After learning the basic concepts, students will learn how to differentiate between various topics such as statistical analysis, data mining, business intelligence, business analytics, and data science to describe which approach is most suitable given a certain problem. Finally, students will gain exposure to the various tools and programming languages that are relevant to both business and data analytics, and how these tools yield critical analysis leading to improved business decisions.
MBA6103
3
This core course will cover the American Medical Informatics Association (AMIA) five domains of informatics: Translational Bioinformatics, Clinical Research Informatics, Applied Clinical Informatics, Consumer Health Informatics, Public or Population Health Informatics, and discuss respective career opportunities emerging in the public, non-profit, government, and private sectors. The course provides practical knowledge of health, information science and technology, and social determinants of health to improve patient care through use of data technologies. The course also examines special topics including EHR systems, Pharmacy Management Systems, Revenue Cycle Management Systems, Health Information Exchange, Data Standards & Design, Health Equity, and Health IT Management. Additionally, the course will cover ethical, legal and regulatory issues as it relates to data privacy, managing personal health information (PHI), HIPAA compliance, Canadian Privacy Act, and European Parliament’s General Data Protection Regulation (GRPR). Finally, the course will include training on Python for healthcare, healthcare statistical data modeling, and research methodology.
HHS6043
3
The emergence of massive datasets containing millions or even billions of observations provides the primary impetus for the business analytics field. Such datasets arise, for instance, in large-scale retailing, supply chain network, marketing channel, and social media. This course will emphasize theoretical foundation of business analytics and practical techniques for working with business data to support decision making. Specific topics covered will include statistical modeling, machine learning, predictive modeling, text mining, web mining, social network analytics in real world topics and case studies. The use of statistical and data manipulation software and basic programming skills will be required.
INT7623
3
Course Name
Course #
Credits
The central theme of this course is to learn how to solve problems by writing a program. The course provides an introduction to the ANSI C language,
emphasizing portability and structured design. The course presents all major language elements including fundamental data types, data structures, flow control, and standard function libraries. Topics presented in the course include basic computer concepts, C++ program development environment; the concept of structured programming; basic problem-solving techniques; the development of algorithms through the process of top-down, stepwise refinement using C++-program control structures including selection statements, controlled- and sentinel-iteration constructs, assignment and condition statements; and the concepts of files and streams as well as the fundamental data types; abstract data types and complex data structures ; including arrays, stacks, sets, trees, heaps, and graphs. This course will provide the core programming skills necessary to be successful in our graduate program.
MCS5003
3
This course is an advanced course and next course in the data science program designed to provide students with a comprehensive understanding of the data science landscape, and the tools and techniques used to analyze data. Students will learn to identify the various components of a data science strategy and explore the ethical implications of data science, optimize forecasting and accuracy, interpret data, explore the implications of data science in the current market, and discuss the best practices for data science.
MCS5733
3
This course will introduce the basic concepts of data analytics as applied in various business contexts. After learning the basic concepts, students will learn how to differentiate between various topics such as statistical analysis, data mining, business intelligence, business analytics, and data science to describe which approach is most suitable given a certain problem. Finally, students will gain exposure to the various tools and programming languages that are relevant to both business and data analytics, and how these tools yield critical analysis leading to improved business decisions.
MBA6103
3
This core course will cover the American Medical Informatics Association (AMIA) five domains of informatics: Translational Bioinformatics, Clinical Research Informatics, Applied Clinical Informatics, Consumer Health Informatics, Public or Population Health Informatics, and discuss respective career opportunities emerging in the public, non-profit, government, and private sectors. The course provides practical knowledge of health, information science and technology, and social determinants of health to improve patient care through use of data technologies. The course also examines special topics including EHR systems, Pharmacy Management Systems, Revenue Cycle Management Systems, Health Information Exchange, Data Standards & Design, Health Equity, and Health IT Management. Additionally, the course will cover ethical, legal and regulatory issues as it relates to data privacy, managing personal health information (PHI), HIPAA compliance, Canadian Privacy Act, and European Parliament’s General Data Protection Regulation (GRPR). Finally, the course will include training on Python for healthcare, healthcare statistical data modeling, and research methodology.
HHS6043
3
A dive deep into the evolving world of textual data analysis. This course is meticulously crafted to provide students with a comprehensive understanding of how machine learning algorithms work for text. We will also get an introduction to large language models and gain practical experience. Beyond technical skills, students will also engage in thoughtful discussions about the ethical implications and potential biases of text-based machine learning. In addition, this course has been designated as a CRE-based course which includes a significant research component. We will review and discuss papers on a specific topic and problem, which will cultivate in the development of a research project and paper.
MCS5223
3
Course Name
Course #
Credits
This core course will cover the American Medical Informatics Association (AMIA) five domains of informatics: Translational Bioinformatics, Clinical Research Informatics, Applied Clinical Informatics, Consumer Health Informatics, Public or Population Health Informatics, and discuss respective career opportunities emerging in the public, non-profit, government, and private sectors. The course provides practical knowledge of health, information science and technology, and social determinants of health to improve patient care through use of data technologies. The course also examines special topics including EHR systems, Pharmacy Management Systems, Revenue Cycle Management Systems, Health Information Exchange, Data Standards & Design, Health Equity, and Health IT Management. Additionally, the course will cover ethical, legal and regulatory issues as it relates to data privacy, managing personal health information (PHI), HIPAA compliance, Canadian Privacy Act, and European Parliament’s General Data Protection Regulation (GRPR). Finally, the course will include training on Python for healthcare, healthcare statistical data modeling, and research methodology.
HHS6043
3
Study healthcare disparities, social determinants of health, and systems-based approaches to addressing the needs of underserved populations.
HHS6103
3
Transform complex data into clear, actionable messages for diverse stakeholders. Learn visual storytelling, narrative construction, and persuasive techniques.
HHS6113
3
Focus on team dynamics, inclusive leadership, motivation, and interprofessional collaboration in healthcare settings.
HHS6123
3
Learn project planning, resource management, stakeholder engagement, and outcome evaluation for healthcare initiatives.
HHS7143
3
Applicants to the Healthcare Administration Program must possess an undergraduate degree from an accredited university or its equivalent in another country.
Application Materials Required:
Students seeking admission into the program may be admitted on a regular or conditional basis. The admissions committee will review the student’s educational background and work experience to determine the student’s admission status based on the following criteria:
Use Your Cell Phone as a Document Camera in Zoom
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Log in and start your Zoom session with participants
From Phone
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