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Master of Science

Master of Science in Technology Management

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Master of Science in Technology Management (TECH MGMT MS)

33 Credits

MASTER OF SCIENCE IN TECHNOLOGY MANAGEMENT • 33 CREDITS • TECH MGMT MS

PROGRAM DESCRIPTION
The objective of the Master of Science in Technology Management is to offer a high quality, interdisciplinary technical and business graduate curriculum in technology management for today’s organizations. This program is designed to prepare graduates for a life-long career addressing critical leadership roles in private, public or government organizations. The MS in Technology Management combines a set of business and technical competencies to give Davenport University graduates the competitive advantages needed to lead information technology departments in the global economy.

TECHNOLOGY FOUNDATIONAL REQUIREMENTS
All students admitted into the Davenport University Master of Science in Technology Management are expected to have the necessary undergraduate preparation in information systems security, statistics, and business foundations prior to entering the 600-level courses. Students that have not successfully completed equivalent undergraduate courses will be required to complete the following graduate (500-level) foundational courses or the undergraduate level equivalent courses. A grade of “B” or better must be earned in each course to show proficiency.

Graduate Level Foundational Courses:
IAAS581   Information Security and Assurance
NETW520   Data Communications and Networks
STAT500   Statistics for Business

CURRICULUM
Students will apply leadership tactics, basic observational methods and logical reasoning to demonstrate best practices in problem solving with foundational knowledge in the following areas: industry regulations, network technologies, product and project management, risk mitigation, business continuity, information technology, disaster recovery, total quality management, budgeting and return on investment by using appropriate tools, methods and applications. Students will also choose electives based on their career focus and complete a thesis under the direct guidance of a faculty member.

The elective courses will provide an introduction to the different technical and administrative aspects of Technology Management. Topics will include: wireless networks, accounting information systems, banking and financial security, as well as leadership and change management strategies.

MASTER'S THESIS
A thesis paper forms the Capstone of this Master of Science in Technology Management program. The Capstone is a comprehensive research paper encompassing the learning from the students’ coursework in the program. Prior to enrolling in the CAPS798 Technology Management Thesis course, students must have both an approved Capstone Intent Form and an approved Research Proposal on file with the Program Director.

The final thesis paper is to be completed under the guidance of your faculty advisor and/or university designated faculty member during the CAPS798 course. More details on the master’s thesis and capstone process may be found in the Capstone Guidebook available from your faculty advisor.

Which class should I take? When should I take it?
2019-2020 Recommended Program Sequence for Technology Management, MS and printable pdf download

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Technology Core Courses		15 Credits
CISP600	Information Systems Planning This course reviews the major content areas of information systems management that will be examined at various organizational levels of MS Technology Management. The major content areas (IT domains) to be covered include information technology management, networking, Web, database, programming and systems development. Upon completion of this course, students will be prepared to analyze, define, and research the unique management considerations of each domain within various organization levels. Applicable Course Fees can be found at https://my.davenport.edu/financial-aid/how-much-does-du-cost/tuition-and-fees.	3
GPMT699 or TMGT727	Certified Project Management Professional (PMP)® or Technology Entrepreneurship GPMT699 - This course prepares students for the Project Management Professional (PMP) certification examination developed and conducted by the Project Management Institute (PMI). This exam-prep course provides a focused review of all subject matter for the Project Management Certification. It uses questions from prior certification exams to help students become familiar with the format, content and nature of the exam. Notes: Successful completion of this preparatory course does not guarantee the passing exam. Students who completed GPMT499 are not eligible to complete this course and may not use the undergraduate course as a substitution within their graduate program. Note: A grade of C or better is required on the final assessment in order to earn a passing grade in this course. TMGT727 - This course investigates the sequential process of transforming a technology-driven idea into a customer-driven product. This course examines this process both from the perspective of the entrepreneur and from the perspective of the corporation pursuing a model of open innovation to transform new ideas into entrepreneurial ventures. Based largely on case study discussions, the course focuses on intellectual property, high-tech product development, venture finance, high-tech market strategy, strategic alliances, and entrepreneurial leadership skills. Prerequisite(s): TMGT685	3
MGMT735	Managing Projects This course analyzes the knowledge and skills necessary to be a successful project leader. Methods of planning, executing, managing, and evaluating complex projects are studied in detail. Topics include project selection, project organizational structures, project scheduling and budgeting, workflow analysis, adhering to timelines, forming teams, negotiations and communications with team members, monitoring progress, and project auditing. This course utilizes MSProject software. Access to a PC platform is strongly recommended for this portion of the course. Note: A grade of C or better is required on the final assessment in order to earn a passing grade in this course. Applicable Course Fees can be found at https://my.davenport.edu/financial-aid/how-much-does-du-cost/tuition-and-fees. Prerequisite(s): ACCT640 or FINC610	3
TMGT655	IT Service Management This course surveys the technical and managerial challenges of leading innovation in high-tech enterprises and industries. Particular consideration is given to the forces affecting the nature and rate of technological innovation and the managerial alternatives available to both established and entrepreneurial organizations. The course explores sources of innovation, including acquisitions and alliances, real options thinking for investing under uncertainty, managing new ventures and developing effective processes and organizational structures for driving sustainable results. Applicable Course Fees can be found at https://my.davenport.edu/financial-aid/how-much-does-du-cost/tuition-and-fees. Prerequisite(s): CISP600	3
TMGT720	Emerging Technologies	3

Management and Leadership Core Courses		15 Credits
FINC610	Budget & Finance Management This course applies finance concepts to evaluate and manage budgets in financial decision making in the global environment. The course will include a foundational knowledge of accounting principles such as budget development and execution, program initiation, cost and revenue estimation, budget strategy and evaluation. Students will prepare a plan to obtain funding and manage a project or department budget. Basic financial concepts are covered such as capital budgeting, working capital management, risk and return measurement, cost classification, debt and equity financing and cash flow analysis. Students should be familiar with Microsoft Excel. Applicable Course Fees can be found at https://my.davenport.edu/financial-aid/how-much-does-du-cost/tuition-and-fees.	3
STAT615	Analytical Statistics for Mgmt This course explores applications for the practitioner in industry. Included are data descriptions, measures of central tendency and variability, probability, tests of hypotheses, regression analysis and analysis of categorical data. Selection of research problems, analysis of literature, individual investigations, preparing reports, and proposal writing are detailed. The course will also survey decision making and making recommendations using qualitative and quantitative data. Students will also discover threats to internal and external validity for quantitative research. Minitab will be used throughout the course. Applicable Course Fees can be found at https://my.davenport.edu/financial-aid/how-much-does-du-cost/tuition-and-fees. Prerequisite(s): Completion of an undergraduate course in introductory statistics (STAT220) course or STAT500	3
TMGT685	IT Change Management & Service Upon completion of this course students will be prepared to incorporate the strategies and processes of different leadership models and organizational change into their personal leadership plan. Students will explore the leader’s role during technological changes and best approaches to lead and manage these changes within the organization. The course will survey how transformational leadership can be applied to foster innovation, technological change, examine the relationships between developing enterprise level, innovative strategies and performing in the role of a transformational CIO leader. Applicable Course Fees can be found at https://my.davenport.edu/financial-aid/how-much-does-du-cost/tuition-and-fees.	3
TMGT750	Think as a CIO	3
TMGT788	Applied Research Tech for TM This course on statistics explores applications for the practitioner in industry. Included are data descriptions, measures of central tendency and variability, probability, tests of hypotheses, regression analysis and analysis of categorical data. Selection of research problems, analysis of literature, individual investigations, preparing reports, and proposal writing are detailed. Note: This class is preparatory to beginning the Technology Management Thesis and should be completed, at minimum, the semester prior to registration for CAPS798. Applicable Course Fees can be found at https://my.davenport.edu/financial-aid/how-much-does-du-cost/tuition-and-fees. Prerequisite(s): STAT615	3

Capstone		3 Credits
CAPS798	Technology Mgmt Thesis A thesis project forms the capstone of this Master of Science program. In order to register, a student must complete all course requirements for this degree and submit an acceptable proposal to the technology management faculty for approval via a capstone intent form. Note: A grade of B or better must be earned to pass this course successfully. Applicable Course Fees can be found at https://my.davenport.edu/financial-aid/how-much-does-du-cost/tuition-and-fees. Prerequisite(s): TMGT788, last semester; Technology Core Courses and Management and Leadership Core Courses completed.	3

Master of Science in Computer Science

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Master of Science in Computer Science (COMP SCIE MS)

30 Credits

MASTER OF SCIENCE IN COMPUTER SCIENCE • 30 CREDITS • COMP SCIE MS

The Master Program in computer science emphasizes software development, theoretical foundations of computer science and cyber security. It is designed to prepare students for professional positions in industry, government and business, and to provide preparation for graduate work at the doctoral level.

Preadmission Requirements:

Completion of a Bachelor of Science in Computer Science
Students without a BS in Computer Science may need to complete the following courses
• CSCI531 Introduction to Programming
• CSCI534 Object Oriented Programming with C#
• CSCI545 Data Structures and Algorithms
• MATH515 Calculus I

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

2019-2020 Recommended Program Sequence for Master of Science in Computer Science, MS:
Computer Science, MS - Concentration: Computer Science and printable pdf download
Computer Science, MS - Concentration: Security and printable pdf download

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Computer Science Core Courses		18 Credits
CSCI635	Operating Systems General topics in computer architecture, memory systems design and evaluation, pipeline design techniques, RISC architectures, vector computers, VLSI systems architecture, bootloader, device drivers and I/O. Advanced topics may include: processes and threads, CPU scheduling; process synchronization; deadlock, threads, memory management; cache; main memory; virtual memory; virtual machine; shared-memory and message-passing based parallelism; clusters; database concepts; security and protection; authentication; and cloud computing. Applicable Course Fees can be found at https://my.davenport.edu/financial-aid/how-much-does-du-cost/tuition-and-fees.	3
CSCI655	Data Communications & Network	3
CSCI672	Theory of Computation This course covers the theory of computer science emphasizing automata, grammars computation and their applications in the specification of languages and computer systems, models of computation and complexity. Finite-state machines, pushdown automata, Turing machines, regular expressions, decidability, computational complexity, including classes P, NP, NP-complete, NP-hard, and PSPACE will be explored. Applicable Course Fees can be found at https://my.davenport.edu/financial-aid/how-much-does-du-cost/tuition-and-fees.	3
CSCI728	Design/Analysis of Algorithms This course will study the design and analysis of algorithms, their correctness, their limitations and their relationship to other algorithms. Students will learn how to analyze a problem and determine its reducibility to a common problem with a current solution. Topics covered may also include Computational Geometry, NP-Completeness, Approximation Algorithms, Dynamic Programming, Greedy Algorithms and Reductions. Applicable Course Fees can be found at https://my.davenport.edu/financial-aid/how-much-does-du-cost/tuition-and-fees.	3

Thesis/Project (More details on the Master Research Thesis or Master Project may be found in the Capstone Guidebook available from your faculty advisor)		(6) Credits
CSCI794 or CSCI798	Master Project or Master Research Thesis CSCI794 - Research and design a project approve by advisor that furthers the knowledge or has a practical application to the computer science field. This is a two-semester course sequence. The student will register for this course for 2 consecutive semesters (3 credits each semester). CSCI798 - Research topic in computer science selected by the student and approved by thesis advisor. Students will learn methods for reading technical papers, selecting research topics, devising research questions, reviewing current literature and proposal writings. This is a two-semester course sequence. The student will register for this course for 2 consecutive semesters (3 credits each semester).	6

Choose one of the following Concentrations:		12 Credits

Computer Science Concentration [CSCC]		(12) Credits
CSCI678	Artificial Intelligence This course will look at algorithms and concepts that are popular in the artificial intelligence field. Topics covered may include knowledge representation, constraint satisfaction problems, classical search, adversarial search, probabilistic reasoning, reinforcement learning, and robotics. Applicable Course Fees can be found at https://my.davenport.edu/financial-aid/how-much-does-du-cost/tuition-and-fees.	3
CSCI744	Pattern Recog & Machine Learn This course will look at the algorithms and concepts that are popular in the fields of data mining and machine learning. Topics covered may include deep learning, convolutional neural networks, linear and nonlinear models for classification, kernel methods, support vector machines and dimensionality reduction techniques. Applicable Course Fees can be found at https://my.davenport.edu/financial-aid/how-much-does-du-cost/tuition-and-fees.	3
CSCI756	Computer Vision This course will look at current research progress and trends in the Computer Vision field. Topics covered may include scene analysis, object detection and tracking, segmentation, texture and texture based recognition, 2D and 3D object description, and biologically inspired recognition schemes. Applicable Course Fees can be found at https://my.davenport.edu/financial-aid/how-much-does-du-cost/tuition-and-fees.	3
CSCI784	Secure Software Analy & Design This course takes a close look at software as a mechanism for attack, as a tool for protecting resources, and as a resource to be defended. Topics covered include the software design process; choices of programming languages, operating systems, databases and distributed object platforms for building secure systems; common software vulnerabilities, such as buffer overflows and race conditions; auditing software; proving properties of software; software and data watermarking; code obfuscation; tamper resistant software; and the benefits of open and closed source development. Students will demonstrate their ability to produce defect free code from well-known classes of vulnerabilities, including but not limited to design errors, implementation errors, timing errors, and trust. Applicable Course Fees can be found at https://my.davenport.edu/financial-aid/how-much-does-du-cost/tuition-and-fees.	3

Security Concentration [SCCC]		(12) Credits
CSCI784	Secure Software Analy & Design This course takes a close look at software as a mechanism for attack, as a tool for protecting resources, and as a resource to be defended. Topics covered include the software design process; choices of programming languages, operating systems, databases and distributed object platforms for building secure systems; common software vulnerabilities, such as buffer overflows and race conditions; auditing software; proving properties of software; software and data watermarking; code obfuscation; tamper resistant software; and the benefits of open and closed source development. Students will demonstrate their ability to produce defect free code from well-known classes of vulnerabilities, including but not limited to design errors, implementation errors, timing errors, and trust. Applicable Course Fees can be found at https://my.davenport.edu/financial-aid/how-much-does-du-cost/tuition-and-fees.	3
IAAS667	Legal/Ethical Security Topics This course provides students with real-world ethical issues facing public and private institutions involving privacy, data integrity, authentication, and internal malicious activity. Professional decision-making requires a thorough understanding and respect for intellectual property, corporate governance, and legal restrictions and regulations. This class will give students the framework to make legal, ethical decisions in their careers. Applicable Course Fees can be found at https://my.davenport.edu/financial-aid/how-much-does-du-cost/tuition-and-fees. Prerequisite(s): IAAS600	3
IAAS686	Reverse Engineering Malware This course analyzes malware analysis tools and techniques in depth. This training has helped forensic investigators, incident responders, security engineers, and IT administrators acquire the practical skills to examine malicious programs that target and infect Windows systems. Understanding the capabilities of malware is critical to an organization’s ability to derive threat intelligence, respond to information security incidents, and fortify defenses. This course builds a strong foundation for reverse-engineering malicious software using a variety of system and network monitoring utilities, a disassembler, a debugger, and other tools useful for turning malware inside-out. Applicable Course Fees can be found at https://my.davenport.edu/financial-aid/how-much-does-du-cost/tuition-and-fees.	3
IAAS735	Advanced Computer Forensics This course will provide the framework for the techniques and tools used for the extraction of information from digital equipment. Computer forensic tools will be used to gain a thorough understanding of the processes and techniques used in acquiring information and evidence. Topics include federal guidelines for search and seizures, investigating network intrusions, software forensics, and audit logs. Applicable Course Fees can be found at https://my.davenport.edu/financial-aid/how-much-does-du-cost/tuition-and-fees. Prerequisite(s): IAAS715	3

Master of Science in Data Analytics

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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?
2019-2020 Recommended Program Sequence for Data Analytics, MS and printable pdf download

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Core Courses		12 Credits
DATA610	Essentials of Bus Analytics Essentials of big data and data analytics are introduced and include descriptive, predictive and prescriptive statistics, regression analysis, optimization techniques and data visualization. The instructional approach in this course focuses on application-based reinforcement of concepts to include the use of simulations. A key component of instruction is an emphasis on analytical report writing and other ways to effectively present data analytic results. Techniques examined emphasize applicability in multiple organizational sectors to include business, finance, human resources, healthcare, manufacturing, sport management, social services, education, non-profit, and government entities. Applicable Course Fees can be found at https://my.davenport.edu/financial-aid/how-much-does-du-cost/tuition-and-fees.	3
DATA625	Data Mining The benefits of using data to optimize the decision-making process, including understanding the differences between various types of data, data formats, data warehouses and data marts. Students will develop usable extraction, transformation and loading (ETL) techniques associated with data analysis and be introduced to data modeling and data mash-up techniques. Applicable Course Fees can be found at https://my.davenport.edu/financial-aid/how-much-does-du-cost/tuition-and-fees.	3
DATA667	Data Visualization & Commnctn Data visualization and communication skills are taught using industry standard software. The instructional approach in this course focuses on application using hands-on projects to create reports and dashboards with high-impact visualizations of common data analyses to help in decision making. A key element of instruction is an emphasis on communicating the practical implications of data analytics results to a non-technical audience in a timely manner. Applicable Course Fees can be found at https://my.davenport.edu/financial-aid/how-much-does-du-cost/tuition-and-fees.	3
DATA710	Introduction to R Programming The basics of R programming are introduced including software installation and configuration necessary for effective data analysis. Generic programming language concepts are introduced and covered within the context of how they are implemented in practice when conducting high-level statistical analysis. The instructional approach in this course focuses on application-based introduction of programming concepts such as reading data into R, accessing analysis tool boxes in R, writing R functions, debugging, and organizing and commenting in R code. Data mining and analysis projects will be used to provide working examples. Applicable Course Fees can be found at https://my.davenport.edu/financial-aid/how-much-does-du-cost/tuition-and-fees.	3

Advanced Courses		15 Credits
DATA728	Advanced Data Mining This course will be a more advanced treatment of data mining and predictive analytics concepts introduced in DATA625 with a focus on customer relationship management (CRM). Using customized variations of the industry-standard CRISP-DM methodology, it will provide an experiential learning opportunity to explore all six phases of the model. This includes business understanding, data understanding, data preparation, modeling, evaluation, and deployment. Industry standard tools and techniques are utilized to prepare students with the knowledge to be successful in current organizations. Applicable Course Fees can be found at https://my.davenport.edu/financial-aid/how-much-does-du-cost/tuition-and-fees. Prerequisite(s): DATA625	3
DATA742	Principles of Data Warehousing Students will be introduced to the concept of the data warehouse and the role it plays in an organization’s overall business intelligence and analytics strategy. This course will cover the two predominate warehouse design strategies, as well as hybrid designs that combine best practices from both areas, including the requirements of a data warehouse, selecting the proper design strategy, choosing the proper tools to support that design, selecting metrics for monitoring performance, data quality, and planning future enhancements. Students will be able to build a high-level plan for implementing a data warehouse in their organization or planning future changes to an existing warehouse if present. Applicable Course Fees can be found at https://my.davenport.edu/financial-aid/how-much-does-du-cost/tuition-and-fees.	3
DATA758 or DATA790	Essentials of Cloud Computing or Data Analytics Internship DATA758: This course introduces the essentials of cloud computing and various service models including Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). These cloud service models are also reviewed in terms of their role in delivering on-demand computing resources to customers. The risks and benefits of cloud deployment models as public, private, hybrid, and community, are discussed together with the underlying infrastructure and operational considerations related to security and privacy. In addition, various cloud vendor platforms are explored to learn how cloud computing is implemented in practice. DATA790: In this course the student integrates data analytics skills acquired through classroom instruction with on-the-job learning via work experience. Emphasis is placed on extensive hands-on experience in one or more of the following focus areas: organizing and exploring data, building dashboards, mining data, or conducting predictive analysis using industry standard software. Further, to ensure adequate practice, a minimum of 150 hours of career related work are required at the internship site as well as weekly progress reports, a written internship report and an oral presentation. In addition, students are required to contact The Office of Experiential Learning at least one semester prior to enrolling. Note: Any unexcused non-attendance or dismissal from an internship, practicum, clinical or fieldwork experience will result in a grade of F. A $30.00 insurance fee and a $30.00 internship management fee are charged in this course. A grade of B or better is required in order to earn a passing grade in this course. A criminal background check and drug screening maybe required by the internship site. Prerequisite(s): DATA610, DATA667, DATA710, DATA728	3
DATA772	Stat Analysis Data Analytics This course covers statistical procedures used in data analytics with emphasis on hands-on practice. Industry standard software is used to import and prepare data for model development as well as for developing various types of regression models. Assessment of model performance and methods for model selection are also covered. Emphasis is also placed on parameter estimation, variable selection, and diagnostic checking of these models and their use for statistical inference and prediction. Both numerical and graphical techniques are used for diagnostics and reporting. Applicable Course Fees can be found at https://my.davenport.edu/financial-aid/how-much-does-du-cost/tuition-and-fees. Prerequisite(s): DATA710	3
DATA785	Predictive Modeling This course covers statistical modeling in the use of statistical methods to develop models that can be used for predicting future numerical or categorical outcomes in processes for disciplines ranging from business to science. The philosophy of modeling as well as common modeling methods and model adequacy assessment procedures are covered. Industry standard software is used to prepare data, develop and assess models, obtain predictions, and present results. The main thrust of the course is on the application of predictive modeling rather than the theory behind it. Selected projects will be used to provide hands-on experience with the various steps involved in modeling and predicting. Applicable Course Fees can be found at https://my.davenport.edu/financial-aid/how-much-does-du-cost/tuition-and-fees. Prerequisite(s): DATA772	3

Capstone Project		3 Credits
DATA792	Data Analytics Capstone Students will apply all of their theoretical and practical experience to design and execute an analytics project on a chosen topic as a culmination of their analytics program, thereby demonstrating competency of program learning outcomes. Students will select the techniques to be used in the study, collect and analyze data for the purpose of drawing conclusions and making recommendations to the decision makers of an organization. Note: A grade of B or better must be earned to pass this course successfully. Applicable Course Fees can be found at https://my.davenport.edu/financial-aid/how-much-does-du-cost/tuition-and-fees. Prerequisite(s): Course may only be elected in the final semester of the program.	3

Master of Science in Health Informatics and Information Management

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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

All students admitted into the Davenport University Master of Science in Health Informatics and Information Management are expected to have a bachelor degree with the necessary undergraduate preparation in management, technology and statistics typically found in a health, technology, or business discipline. All students are required to have the equivalent knowledge from the following courses at the undergraduate level prior to admission to the program: Medical Terminology, Anatomy and Physiology, Pathophysiology and Pharmacology. Students who have not successfully completed equivalent undergraduate courses will be required to complete the following graduate (500-level) foundational courses or the undergraduate level equivalent courses. A grade of “B” 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 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?
2019-2020 Recommended Program Sequence for Health Informatics and Information Management, MS and printable pdf download

See Full Course List

Courses		36 Credits
DATA610	Essentials of Bus Analytics Essentials of big data and data analytics are introduced and include descriptive, predictive and prescriptive statistics, regression analysis, optimization techniques and data visualization. The instructional approach in this course focuses on application-based reinforcement of concepts to include the use of simulations. A key component of instruction is an emphasis on analytical report writing and other ways to effectively present data analytic results. Techniques examined emphasize applicability in multiple organizational sectors to include business, finance, human resources, healthcare, manufacturing, sport management, social services, education, non-profit, and government entities. Applicable Course Fees can be found at https://my.davenport.edu/financial-aid/how-much-does-du-cost/tuition-and-fees.	3
DATA625	Data Mining The benefits of using data to optimize the decision-making process, including understanding the differences between various types of data, data formats, data warehouses and data marts. Students will develop usable extraction, transformation and loading (ETL) techniques associated with data analysis and be introduced to data modeling and data mash-up techniques. Applicable Course Fees can be found at https://my.davenport.edu/financial-aid/how-much-does-du-cost/tuition-and-fees.	3
HCMG630* or FINC610	Health Care Organizations or Budget and Financial Management HCMG630* - This course provides a systematic overview of the U.S. Healthcare Delivery System. Participants will examine the following key components involved in the delivery and provision of healthcare services, including: ambulatory, acute, home health, long-term care, mental health, and public health services. This course also provides students an opportunity to examine the origin, development, structure, organization, and operational issues as they relate to hospitals and healthcare delivery systems. This course will also explore major trends in healthcare costs and financing; including the development and role of private insurance, managed care, and governmental programs (Medicare and Medicaid). Lastly students will have the opportunity to explore the challenges that is confronting healthcare and possible future direction of the industry. Note: A grade of C or better is required on the final assessment in order to earn a passing grade in this course. FINC610 - This course applies finance concepts to evaluate and manage budgets in financial decision making in the global environment. The course will include a foundational knowledge of accounting principles such as budget development and execution, program initiation, cost and revenue estimation, budget strategy and evaluation. Students will prepare a plan to obtain funding and manage a project or department budget. Basic financial concepts are covered such as capital budgeting, working capital management, risk and return measurement, cost classification, debt and equity financing and cash flow analysis. Students should be familiar with Microsoft Excel. *Course selection will depend on the student's undergraduate preparation in health, technology, or business discipline.	3
HINT601	HIIM Seminar This seminar is required in the first semester of acceptance to the College of Health Professions Health Informatics and Information Management program. The program expectations and the HIIM Student Handbook will be reviewed. Students in this course must register and complete the required Criminal Background Check (CBC) and Drug Screen (DS). Note: This course is graded on a Pass/Fail basis. If the CBC/DS portion of the class is not completed in the specified time frame, a failing grade will be given for the course. Applicable Course Fees can be found at https://my.davenport.edu/financial-aid/how-much-does-du-cost/tuition-and-fees.	0
HINT650	HIIM Research Development I This research development course is the first in a series of three in the Health Informatics and Information Management graduate program leading to a capstone thesis or project. It introduces methods of research and data analysis for inquiry in health information management. Students begin developing skills in planning, conducting, reporting, and assessing research and data analysis. These skills are then applied throughout the series of courses to biomedical data to support healthcare-related decision-making. Students begin to develop Chapter 1 Introduction of the HIIM capstone thesis or project. Prerequisite(s): IAAS600 and HINT601	1
HINT730	Legal Aspects and Compliance This course will provide an overview of the legal processes and compliance issues related to health data. Students will review HIPAA compliance requirements as well as review risk management strategies and policies. Students will develop a training program related to legal issues and compliance and incorporate project management methodologies. Applicable Course Fees can be found at https://my.davenport.edu/financial-aid/how-much-does-du-cost/tuition-and-fees.	3
HINT750	HIIM Research Development II This research development course is the second in a series of three in the Health Informatics and Information Management graduate program leading to a capstone thesis or project. It reinforces methods of research and data analysis for inquiry in health information management. Students develop skills in planning, conducting, reporting, and assessing research and data analysis. These skills are then applied throughout the series of courses to biomedical data to support healthcare-related decision-making. Students begin to develop Chapter 2 Literature Review of the HIIM capstone thesis or project. Prerequisite(s): HINT650	1
HINT755	HIIM Research Development III This research development course is the third in a series of three in the Health Informatics and Information Management graduate program leading to a thesis or project. It builds on previous studies regarding methods of research and data analysis for inquiry in health information management. Students continue to develop skills in planning, conducting, reporting, and assessing research and data analysis. These skills are then applied throughout the series of courses to biomedical data to support healthcare-related decision-making. Prerequisite(s): HINT750	1
HINT770	Clin Vocabulary/Health Records Students in this course will explore the representation of clinical data through the use of medical vocabularies and clinical classification systems. Emphasis is on developing expertise in identifying appropriate clinical classification systems and standards and data mapping. This course includes applying the classifications to health information systems to promote effective communication, interoperability, and reimbursement. In addition, this course will explore the health record requirements across the industry. Applicable Course Fees can be found at https://my.davenport.edu/financial-aid/how-much-does-du-cost/tuition-and-fees.	3
HINT775	Health Information Governance Students in this course will explore the concepts of information governance. Data management policies will be evaluated to ensure they are compliant with federal and state regulations. The course will discuss managing information while supporting the organization’s strategy, operations and risk requirements. Students will review and evaluate the processes needed in today's e-health environment related to information interoperability. Applicable Course Fees can be found at https://my.davenport.edu/financial-aid/how-much-does-du-cost/tuition-and-fees.	3
IAAS600	Information Security Planning This course is a comprehensive study of the techniques used to protect information infrastructure and assets, with a primary focus on the Defense In Depth model that emphasizes the role of people, process and technology. Topics include security problems in computing, networks and distributed systems, and the criticality of the CIA triad; confidentiality, integrity and availability of technology-based resources. Applicable Course Fees can be found at https://my.davenport.edu/financial-aid/how-much-does-du-cost/tuition-and-fees. Prerequisite(s): Required undergraduate or 500+ level prerequisite courses	3
IAAS660	Project Mgt/Risk Mitigation This course covers the practices used in managing information systems and organizational change projects. Topics include protection of information infrastructure and assets utilizing a Defense In Depth model that emphasizes the role of people, process, and technology. Vulnerabilities and risks, computer crime, law, disaster recovery, contingency planning, physical security, operational security, and information security will be covered. Applicable Course Fees can be found at https://my.davenport.edu/financial-aid/how-much-does-du-cost/tuition-and-fees. Prerequisite(s): IAAS581 or IAAS600	3
IAAS667	Legal/Ethical Security Topics This course provides students with real-world ethical issues facing public and private institutions involving privacy, data integrity, authentication, and internal malicious activity. Professional decision-making requires a thorough understanding and respect for intellectual property, corporate governance, and legal restrictions and regulations. This class will give students the framework to make legal, ethical decisions in their careers. Applicable Course Fees can be found at https://my.davenport.edu/financial-aid/how-much-does-du-cost/tuition-and-fees. Prerequisite(s): IAAS600	3
IAAS675	Health Care Security This course will provide the framework for developing and integrating security, critical infrastructures and assets prevalent in the healthcare and hospital industries. Legislation, policies, and case studies specific to the healthcare services field will be highlighted. Topics will include risks and vulnerabilities, security safeguards and standards, access control, audits, disaster recovery planning, security policy and procedures, and physical and logical security systems. Applicable Course Fees can be found at https://my.davenport.edu/financial-aid/how-much-does-du-cost/tuition-and-fees. Prerequisite(s): IAAS600	3
MGMT610	Creative and Critical Thinking Management today is not business as usual. Disruptive technology, challenging economies, global markets, and significant environmental concerns require visionary responses that consistently cause leading CEOs to rank the development of creative and critical thinking as an organizational priority and an essential lifelong learning practice. Through the introduction and application of idea generation tools and decision-making techniques in a variety of organizational contexts, this foundational course prepares students for successful learning in the Master of Management program and for successful practice in their chosen careers. Applicable Course Fees can be found at https://my.davenport.edu/financial-aid/how-much-does-du-cost/tuition-and-fees.	3

Capstone		3 Credits
HINT799	Capstone Experience in HIIM A thesis or project is required for the capstone in the HIIM program. In order to register, a student must have completed all course requirements for this degree and submit an acceptable proposal to the HIIM Program Director. The thesis consists of original research on any topic in the area of health information management, health information systems and/or health informatics. Oral presentation and defense of the thesis is required. The capstone project will be a rigorous project focused on a real-world health information, health information systems or health informatics setting and application of problem-solving methods for development of solutions. A final written report is required. Applicable Course Fees can be found at https://my.davenport.edu/financial-aid/how-much-does-du-cost/tuition-and-fees. Prerequisite(s): All HIIM MS courses; Program Director Approval; must be taken in last semester.	3

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