Get your certificate in six courses and use analytics and quantitative education to lead your healthcare organization.
The Suffolk Graduate Certificate in Healthcare Management: Performance Improvement and Data Analytics is ideal if you have experience within the healthcare industry but want to expand your career options. The program is designed to give you a strong quantitative, operations, and data analytics foundation for managing healthcare organizations.
The six-course certificate program can be completed in as little as two semesters. If you apply to the MBA, MHA or MST within a year of completing this certificate, and had a 3.3 or higher cumulative GPA, you won’t need to take the GRE or GMAT to enroll in the master's program.
Cost Per Credit (2018-2019)
9-16 months of part time study
This course covers both qualitative and quantitative research methods, with a strong focus on applied healthcare management research. Course topics include scientific reasoning, research design, action research methods, qualitative research methods, fundamental statistical techniques, and display and presentation of quantitative and qualitative analyses. This course prepares students as both producers and consumers of healthcare related research. Students will: Learn fundamentals of scientific reasoning, research design, and action research methods. Gain basic skills in both qualitative and quantitative data collection, analysis and presentation. Understand the meaning and appropriate application of basic statistical techniques relevant to healthcare management. Become prepared to analyze and draw conclusions from surveys, program evaluations, and operations data. Be able to troubleshoot the work of consultants and be critical consumers of research performed by others.
Healthcare industry trends point toward increasing need for meaningful measurement of the health of populations- from the population of patients who use a particular health service to the populations of nations. Healthcare managers must measure the need and demand for health services as well as the quality, safety and effectiveness or services. This course provides the fundamental information and enables students to develop the skills to apply principles and techniques of epidemiology in planning, delivering and evaluating health services.
Take HLTH-701 and either HLTH-812 or SBS-604. MHA and MSBA students only.
Students are introduced to concepts and analytic tools and techniques in operations management, such as project management, process improvement, queuing theory, forecasting, capacity planning, and supply chain management. Students will be challenged to examine the distinctive characteristics of health services operations, understand process improvement and patient flow, and explore the means for making optimal managerial decisions. In-class exercises, applied concept assignments, guest speakers, and exams are used to help students understand ways to improve the effectiveness and efficiency of healthcare organizations.
The 'production' of health care is a service of significant personal and social consequence and high on the agenda of every healthcare executive. Today's consumer actively seeks evidence about the quality of care they can anticipate while payers are offering financial incentives to providers who can demonstrate superior patient outcomes. This course will focus on the complexities and processes of assuring quality performance in healthcare organizations.
The American healthcare system is a paradox. It costs far more than any other country's system but often delivers less in terms of good health. Part of the problem is that its information infrastructure and use of data are not up to par with other industries or with the challenges it faces. The new science of analytics provides critical intelligence to produce innovative solutions through its use of data science, information technology, and deep knowledge of the sector. This course focuses on the three most promising areas of health analytics: business intelligence, community health, and behavior change. It draws upon the best analytics from within the health and healthcare sectors as well as from other sectors including banking, sports, politics, and retail. The classes, both in the classroom and online, include a mix of lectures, discussions, application labs, guest speakers, a field trip to a leading health technology firm, and a class project to work with a health organization to design an analytics solution. By the end of the course, students will have built competencies in obtaining information from multiple data sources, analyzing metrics, applying analytic tools, using systems thinking to frame and solve problems, evaluating the pros and cons of various analytics approaches, and creating solutions through the use of case narratives, use cases, and client presentations.
Choose one from the following:
This course was formerly ISOM-815
Introduces the importance of information as an organizational resource, role of big data in organizations, and the application of tools to provide high quality information. Students will be able to select the most appropriate data management tool (e.g., SQL vs. non-SQL databases) to business scenarios. Develops the skills needed to succeed in today's big data environment through the application of data management techniques, cases and exercises. Students will become proficient in designing databases using entity relationship modeling and normalization, in building and querying databases of various sizes with Access and SQL (an industry standard), preparing high quality data and applying data visualizing techniques. Students will complete a series of business-oriented hands-on exercises, prepare cases, and complete projects on database design and big data.
Offered Fall Term
Predictive analytics make predictions about unknown future events. It is crucial for companies to ask the right questions, perform rigorous analysis, and take actions that will result in the most desirable outcomes. This course develops students' capability in applying the core concepts and techniques of predictive analytics to identify opportunity, recognize patterns, predict outcomes, and recommend optimal actions within the context of organizational decision-making. Topics include: business analytics life cycle, data pre- processing, linear and nonlinear regression, tree-based methods, model assessment and selection, and resampling methods.
Introduces business intelligence and data analytics. Business intelligence and data analytics help organizations in strategic and operational decision making by improving performance management, optimizing customer relations, monitoring business activity, and improving decision support. On a macro-level, the class will discuss business cases for the adoption of business intelligence and data analytics. We will discuss technologies and processes for gathering, storing, accessing, and analyzing data to provide users with better insights and business decisions. On a micro-level, students will use a variety of tools to build their skills in analyzing data to solve business problems. In summary, this course provides a conceptual understanding of business data resources and the development of capabilities for data preparation, warehousing, selection, description, mining, interpretation, visualization, communication, and innovation.
Offered Spring Term
Introduces the basic principles, tools and technique of the Project Management Life Cycle with practical real-life examples and scenarios. The basic concepts will be studied within the framework of the Project Management Book of Knowledge (PMBOK (R)Guide) guidelines set forth by the Project Management Institute (PMI). Other project management framework will be described though not in detail. The course will attempt to help students understand the relationship between good project management and successful software management, development and implementation, and the best practices at each stage of project planning, execution, control and closure. The course will also help build skills to research, analyze and report project management case studies that illustrate the topics covered in this course. PMP(R) and (PMBOK(R)Guide) are registered marks of the Project Management Institute, Inc.
Offered Spring Term
View the Gainful Employment Disclosure for the Graduate Certificate in Healthcare Management: Performance Improvement and Data Analytics.
Graduate certificate courses, if waived, need to be substituted with an approved elective. To substitute an approved elective for a required course, a student must have successfully completed equivalent academic coursework at the undergraduate or graduate level in the five (5) years prior to matriculation, earned a "B" or better in each course, and provide official transcripts (with English translations, if applicable).
Candidates who apply to a Sawyer Business School (SBS) graduate degree program within one year of completing their graduate certificate will have applicable courses applied to the SBS graduate program in the same discipline as the certificate as long as a grade of "B" or better was earned in those courses.
Candidates who apply to an SBS graduate degree program beyond one year from a certificate program or from a certificate program outside their discipline will have coursework evaluated on a case-by-case basis for relevancy, current degree requirements and current Sawyer Business School waiver and transfer policies.
Transfer credits from the graduate certificate must have an earned grade of "B" or better and have been taken within five (5) years prior to entering a SBS graduate degree program. However, at the discretion the program director, some courses may not be transferred if the subject material has changed significantly since completion.
Fall Semester: March 15 (priority), then rolling
Spring Semester: October 15 (priority), then rolling
Summer Semester: April 1 (priority), then rolling
Learn about the advantages of priority applications.