The Graduate Certificate in Healthcare Management (GCHPI&DA) is a 6 course graduate certificate ideal for candidates with some experience in US healthcare. Designed to give you a strong quantitative, operations and data analytics foundation for managing healthcare organizations, this program can be completed in two to three semesters, part-time.

Fifteen credits are required for completion of the GCHPI&DA. As a part-time student, you can complete the program in as few as 2 semesters at our Boston campus.

Curriculum

Curriculum

6 courses
15 credits

Program Length
9-16 months of part time study

Required Courses (12 credits) 

  • HLTH-812 Applied Research Methods for Healthcare Management

    Credits:

    3.00

    Description:

    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.

  • HLTH-830 Healthcare Operations Management

    Prerequisites:

    Take HLTH-701 and either HLTH-812 or SBS-604. MHA and MSBA students only.

    Credits:

    3.00

    Description:

    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.

  • HLTH-828 Population Health

    Prerequisites:

    HLTH 701;

    Credits:

    1.50

    Description:

    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.

  • HLTH-845 Big Data Analytics for Health and Healthcare

    Credits:

    3.00

    Description:

    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.

 Elective (3 credits)

Choose one from the following courses.

  • ISOM-815 Data Management and Big Data

    Credits:

    3.00

    Description:

    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.

    Term:

    Offered Fall Term

  • ISOM-828 ERP System and Process Reengineering

    Credits:

    3.00

    Description:

    Provides students with an understanding of the nature of enterprise integration and enterprise software, business process reengineering, the implementation within organizations, and strategies for maximizing benefits from enterprise systems. To manage complex business processes in today's multi-national, wired and wireless world, firms need integrated software packages to manage their global business. Enterprise Resource Planning (ERP) systems are used to support a wide range of business functions for all companies across industries. With ERP systems, business managers are able to make decisions with accurate, consistent, and current data. Intensive lab projects on the SAP ERP System with real life business scenarios are utilized to reinforce understanding of enterprise systems functionality and business process concepts.

    Term:

    Offered Spring Term

  • ISOM-840 Security and Privacy

    Credits:

    3.00

    Description:

    Introduces the fundamental principles of information and big data security. Security vulnerabilities, threats and risks will be analyzed. Common types of computer attacks and counter-attacks will be identified. Security technologies such as biometrics, firewalls, intrusion detection systems and cryptography systems will be applied in conjunction with human based safeguards. Business continuity and disaster recovery planning will be covered. Students will then learn how to design and build a layered security defense combining several of the above controls to address the different challenges to data security. The managerial concerns of security and privacy of information will be stressed including the legal and privacy issues. Best practices for planning and auditing security and privacy will then be covered.

    Term:

    Offered Fall Term

  • ISOM-845 Business Intelligence and Data Analytics

    Credits:

    3.00

    Description:

    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.

    Term:

    Offered Spring Term

  • ISOM-861 Project Management

    Credits:

    3.00

    Description:

    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.

    Term:

    Offered Spring Term

Prerequisites must be met for any course taken. HLTH-701 prerequisite waived for professionals with 3 years of experience in U.S. Healthcare system.

Gainful Employment Disclosure

View the Gainful Employment Disclosure for the Graduate Certificate in Healthcare Management: Performance Improvement and Data Analytics.

Waiver/Transfer Policy

Graduate certificate courses, if waived, may 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/graduate level in the five years prior to matriculation ("B" or better) and provide official transcripts (with English translations, if applicable). 

Candidates who apply within one year of completing their graduate certificate will have applicable courses applied to a Sawyer Business School (SBS) graduate degree program in the same discipline as the certificate as long as a grade of "B" or better was earned in that course.

Candidates who apply 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 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.