Description
Master of Science

Master of Science in Technology Management

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?

See our Recommended Program Sequences:

Master of Science in Computer Science

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?

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:

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

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?

See our Recommended Program Sequences: