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Health Care Management

Health Care Management (HC MGMT GRC)

12-15 Credits

GRADUATE CERTIFICATE  • 12-15 CREDITS  • HC MGMT GRC

Graduate Certificates provide students with the opportunity to deepen their skills in a particular subject. They may be completed at any time while taking Master's degree provided the prerequisites are met, or the certificate may be completed as a stand-alone. 

The credit for a single course cannot be applied to more than one degree or certificate; a course substitution must be approved by the Department Chair. 

Prerequisite: HCMG630 Health Care Organizations (3 cr) is a required prerequisite that must be completed prior to taking the following courses in the Graduate Certificate in Health Care Management.

Which class should I take? When should I take it?

See our Recommended Program Sequences:

Post-Graduate Certificate Family Nurse Practitioner

Post-Graduate Certificate Family Nurse Practitioner (NURSPACT PGC)

36 Credits

POST-GRADUATE CERTIFICATE • 36 CREDITS • NURSPACT PGC

The Family Nurse Practitioner program focuses on continual and comprehensive, wellness and illness care for individuals across the lifespan to assist with illness management, health promotion, and health education. Graduate Family Nurse Practitioner students will be prepared to assume leadership roles for the targeted populations in the primary settings. Family Nurse Practitioners are prepared to provide care to individuals with acute and chronic illnesses in a variety of primary care practice settings such as clinics, outpatient services and more.

Upon successful completion of the Family Nurse Practitioner Post-Graduate Certificate, the graduate will be eligible to seek certification as a Family Nurse Practitioner, offered by American Nurses’ Credentialing Center and/or the American Academy of Nurse Practitioners. Following successful certification the graduate applies to the Department of Professional Regulation for licensure as an advanced practice registered nurse (APRN) for practice in their State.

Which class should I take? When should I take it?

See our Recommended Program Sequences:

Master of Science in Nursing - Family Nurse Practitioner Concentration

Master of Science in Nursing - Family Nurse Practitioner Concentration (NURS PRC MSN)

45 Credits

MASTER OF SCIENCE IN NURSING - FAMILY NURSE PRACTITIONER CONCENTRATION    • 45 CREDITS      • NURS PRC MSN

The Master of Science in Nursing Family Nurse Practitioner (FNP) program prepares the baccalaureate nurse to care for adults and children of all ages with essential focus on family and community. Graduates of this program will be able to provide health promotion and primary health care for families and individuals in the context of their families. The Family Nurse Practitioner program focuses on continual and comprehensive, wellness and illness care for individuals across the lifespan to assist with illness management, health promotion, and health education. Graduate Family Nurse Practitioner students will be prepared to assume leadership roles for the targeted populations in the primary settings. Family Nurse Practitioners are prepared to provide care to individuals with acute and chronic illnesses in a variety of primary care practice settings such as clinics, outpatient services and more.

Upon successful completion of the Master of Science in Nursing Family Nurse Practitioner Concentration the graduate will be eligible to seek certification as a Family Nurse Practitioner, offered by American Nurses’ Credentialing Center and/or the American Academy of Nurse Practitioners. Following successful certification the graduate applies to the Department of Professional Regulation for licensure as an advanced practice registered nurse (APRN) for practice in their State.  

Which class should I take? When should I take it?

See our Recommended Program Sequences:

Master of Science in Nursing - Nurse Educator Concentration

Master of Science in Nursing - Nurse Educator Concentration (NURS EDU MSN)

37 Credits

MASTER OF SCIENCE IN NURSING • 37 CREDITS • NURS EDU MSN

The Master of Science in Nursing Nurse Educator will prepare individuals for the nurse educator role in academic or staff development settings. The curriculum integrates core master’s-level concepts, advanced clinical foundations (assessment, pharmacology, pathophysiology) and education-focused courses. Students develop teaching strategies in the didactic and clinical setting, synthesize teaching/learning theories, and acquire skills in curriculum development. Clinical practicum objectives include the student’s ability to provide didactic and clinical instruction within the academic or clinical settings. As a result, graduates of the Nurse Educator concentration are well prepared to assume faculty or clinical instructor positions in schools of nursing or staff development positions in health care institutions.


Upon successful completion of the MSN Nurse Educator Concentration, the graduate will be eligible to seek certification as a Certified Nurse Educator (CNE), offered by the National League for Nursing (NLN).


The MSN Program is a 28-month program that begins once a year. Courses within the program are delivered entirely online except for the clinical component of NURS765/NURS765C and NURS787/NURS787C. Clinical sites for NURS765C and NURS787C will be arranged for students based on students’ geographic locations.  

**Upon discussion with MSN Advisor, Student will elect to conduct either a Special Research Project (NURS795) or do the traditional thesis (NURS799).

Which class should I take? When should I take it?

See our Recommended Program Sequences:

Master of Science in Nursing

Master of Science in Nursing (NURS MSN)

37 Credits

MASTER OF SCIENCE IN NURSING     • 37 CREDITS      • NURS MSN

The online Master of Science in Nursing (MSN) at Davenport University offers an advanced level of graduate study expanding on the knowledge, skills, and competencies acquired at the baccalaureate or entry-level nursing education program. The core curriculum for this program reflects the Essentials of Master’s Education in Nursing (AACN, 2011) and the Outcomes and Competencies for Graduates of Master’s Programs in Nursing (National League of Nursing, 2010).

The MSN Program is a 28-month program that begins once a year. Courses within the program are delivered entirely online except for the clinical component of NURS765/NURS765C and NURS797/NURS797C. Clinical sites for NURS765C and NURS797C will be arranged for students based on students’ geographic locations.

*Students, in consultation with their MSN advisor, will choose two 3 credit graduate-level elective courses. An overall grade of B- or better must be achieved in these two courses.

**Upon discussion with MSN Advisor, Student will elect to conduct either a Special Research Project (NURS795) or do the traditional thesis (NURS799).

Which class should I take? When should I take it?

See our Recommended Program Sequences:

Master of Science in Health Informatics and Information Management

Master of Science in Health Informatics and Information Management (HIIM MS)

39 Credits

MASTER OF SCIENCE IN HEALTH INFORMATICS AND INFORMATION MANAGEMENT • 39 CREDITS • HIIM MS

Davenport University's graduate program in Health Informatics and Information Management is an interdisciplinary program providing a unique blend of business, technology and health care graduate education for current health systems environments. Today's health information management professionals are hybrids who work closely with technology professionals, management professionals and health care providers to ensure the integrity, confidentiality, and appropriate access of health care information. Reflecting the most contemporary practices in the field, the program is structured to provide experiences in the development, implementation, and maintenance of software and data systems; data analysis, privacy and security; and strategic and operational resource planning; and decision making based in the information-driven, knowledge-based health care environment.

Health Informatics and Information Management Foundational Requirements

Students who have not successfully completed equivalent undergraduate courses, outlined in the Admissions Requirements, will be required to complete the following graduate (500-level) foundational courses or the undergraduate level equivalent courses before taking 600-level courses. A grade of “C” or better must be earned in each foundational course to show proficiency.

*Course selection will depend on the student’s undergraduate preparation in a health, technology, or business discipline.

The two Data Analytics courses taken as requirements within the Master of Science in Health Informatics and Information Management and they may also be used as part of a Graduate Certificate in Data Analytics or as part of the Master of Science in Data Analytics.

Graduate Level Foundational Courses:

CISP547 Database Design
IAAS581 Information Security and Assurance
STAT500 Statistics for Business

Which class should I take? When should I take it?

See our Recommended Program Sequences:

Predictive Analytics and Data Visualization

Predictive Analytics and Data Visualization (PREDVIL GRC)

12-15 Credits

GRADUATE CERTIFICATE    • 12-15 CREDITS    • PREDVIL GRC

Data Analytics analyzes vast databases that must be examined using complex algorithms and artificial intelligence to identify previously unidentified useful sets of relationships and trends. The Predictive Analytics and Data Visualization Graduate Certificate is offered online and prepares individuals to build predictive and forecasting models, generate data visualization products, and build data dashboards and automated reports. The Graduate Certificate uses industry standard software in practical applications directly related to current trends and issues that impact organizations across a broad spectrum. Course progression and content is carefully formulated to build competency in predictive modeling, forecasting and data visualization for students from a broad range of disciplines and experiences, including those who are new to the field.


Recommended Prerequisite: DATA610 Essentials of Business Analytics (3 cr) is a recommended prerequisite that should be completed prior to taking the following courses in the Graduate Certificate in Predictive Analytics and Data Visualization.

*DATA courses are only offered in a 15-week online format.

Which class should I take? When should I take it?

See our Recommended Program Sequences:

Data Mining and Visualization

Data Mining and Visualization (DATAVIL GRC)

12-15 Credits

GRADUATE CERTIFICATE • 12-15 CREDITS • DATAVIL GRC

Data Analytics analyzes vast databases that must be examined using complex algorithms and artificial intelligence to identify previously unidentified useful sets of relationships and trends.  The Data Mining and Visualization Graduate Certificate is offered online and prepares individuals to conduct data mining projects, generate data visualization products, and build data dashboards and automated reports. The concentration uses industry standard software in practical applications directly related to current trends and issues that impact organizations across a broad spectrum. Course progression and content is carefully formulated to build competency in data mining and visualization for students from a broad range of disciplines and experiences, including those who are new to the field.

Recommended Prerequisite: DATA610 Essentials of Business Analysis (3 cr) is a recommended prerequisite that should be completed prior to taking the following courses in the Graduate Certificate in Data Mining and Visualization.

DATA courses are only offered in a 15-week online format.

Which class should I take? When should I take it?

See our Recommended Program Sequences:

Data Analytics

Data Analytics (DATALTIC GRC)

12 Credits

GRADUATE CERTIFICATE  •  12 CREDITS  •  DATALTIC GRC

Data Analytics is used to analyze vast databases that must be examined using complex algorithms and artificial intelligence to identify previously unidentified useful sets of relationships and trends. All aspects of the business and medical communities, as well as government agencies and non-profit organizations rely on data analytics, yet are hampered by a growing shortage of data analysts. Davenport’s 12 credit Graduate Certificate in Data Analytics responds to this need by preparing individuals to conduct data mining projects, generate data visualization products, and build data dashboards and automated reports. Using industry standard software, graduates get hands-on experience in practical applications directly related to current trends and issues that impact organizations across a broad spectrum. Credit from the certificate program can be transferred to the Master of Science in Data Analytics Degree program. Courses for are offered online in 15 week format with two courses completed per semester.

 
   PROGRAM PREREQUISITES:
         • Completion of a bachelor’s degree from a regionally accredited university
         • Student must have earned a minimum undergraduate GPA of 2.75 or a graduate GPA of 3.0.
         • Strong analytical skills with interest in applying sophisticated analytical methods using cutting edge software. 

DATA courses are only offered in a 15-week online format.

Which class should I take? When should I take it?

See our Recommended Program Sequences:

Master of Science in Data Analytics

Master of Science in Data Analytics (DATANLYTC MS)

30 Credits

MASTER OF SCIENCE IN DATA ANALYTICS     • 30 CREDITS     • DATANLYTC MS

 

Data Analytics is used to analyze vast databases that must be examined using complex algorithms and artificial intelligence to identify previously unidentified useful sets of relationships and trends. All aspects of the business and medical communities, as well as government agencies and non-profit organizations, rely on data analytics, yet are hampered by a growing shortage of data analysts. Davenport’s 30 credit hour Master of Science in Data Analytics responds to this need. The degree is delivered jointly by the College of Arts and Sciences in partnership with the Colleges of Technology, Business and Health Professions. The program is online and prepares individuals to conduct sophisticated analysis of existing data and create new data systems and methodologies. It is also designed to enable these individuals to make recommendations that increase effective use of data to help organizations meet specific goals and respond to new opportunities. The program uses industry standard software in practical applications directly related to current trends and issues that impact organizations across a broad spectrum. Course progression and content is carefully formulated to build competency in data analysis for students from a broad range of disciplines and experiences, including those who are new to the field.

   PROGRAM ELIGIBILITY
       • Completion of a bachelor’s degree from a regionally accredited university.
       • Student must have earned a minimum undergraduate GPA of 2.75 or a graduate GPA of 3.0.
       • Strong analytical skills with interest in applying sophisticated analytical methods using cutting edge software.


DATA courses are only offered in a 15-week online format.

Which class should I take? When should I take it?

See our Recommended Program Sequences: