Degrees & ProgramsInformation TechnologyMS Information TechnologyCurriculum at a Glance

Curriculum: MS Information Technology

April 28, 2021
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May 10, 2021
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MS Information Technology

curriculum icon Curriculum at a Glance

In today’s rapidly evolving world, companies demand qualified information technology professionals who can protect their data and create ingenious products. Through this innovative online master’s degree in IT, students study user experience design and discover how network forensics work. They also learn how to create mobile applications. From cyber security through systems administration and social media technologies, our comprehensive curriculum prepares students for a fulfilling career in technology.

The UC Online MSIT curriculum consists of 9 hours of Core Courses, 15 hours of Electives and 6 hours of Capstone OR Thesis. The outlined below showcases a selection of courses offered at the University of Cincinnati Online. To learn more about our curriculum, we encourage you to request information about the MS IT program today.

Bridge Courses (12 credit hours) required  are only for students who have an undergraduate GPA less than 3.0 or have no background in Information Technology. Students should check their official offer letter to see which, if any, bridge courses are required.  Bridge courses must be successfully completed with a B or above before beginning MSIT coursework.  Bridge courses do not count towards the MSIT 30-hour requirement.

IT7001
3 Semester Credits

Information Technology Graduate Seminar

The IT graduate Seminar is designed to provide opportunities for professional development of graduate students, raise their awareness of various other issues that they may face in their professional careers, and provide opportunities to survey research seminars of their interest.
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IT7010C
3 Semester Credits

Information Technology Research Methods

This course focuses on scientific approaches to studying information technologies and writing thesis and other research reports.
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IT7040C
3 Semester Credits

Human Computer Interaction and Usability

This course is concerned with the design, evaluation, and implementation of interactive computing systems for human use and with the study of major phenomena surrounding them. The course considers the inherently multi- and interdisciplinary nature of HCI and situates various HCI issues in the organizational and societal contexts.
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IT7020C
3 Semester Credits

Principles of Cybersecurity

This course introduces students to the field of cybersecurity by discussing the evolution of information security into cybersecurity, cybersecurity theory, and the relationship of cybersecurity to nations, businesses, society, and people. Students will be exposed to multiple cybersecurity technologies, processes, and procedures, learn how to analyze the threats, vulnerabilities and risks present in these environments, and develop appropriate strategies to mitigate potential cybersecurity problems.
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IT7021C
3 Semester Credits

Enterprise Security and Forensics

This course is designed to provide students with the advanced concepts needed to establish network security strategies to ensure adequate protection for the organization's environment and yet provide accessibility for its community.
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IT7023C
3 Semester Credits

Technologies for Social Networking

Social Networking has become a popular method for communicating and sharing information in online groups via the Internet and other technologies. The purpose of this course is to introduce students to a variety of social networking development tools, including blogs, wikis, Twitter, social bookmarking, and cloud storage. Students will be provided information on each of the social networking tool, learn how to use them,and then work individually and collaboratively to formulate ideas for implementing social networking tools in order to facilitate working and the use of technology. The scope of this course may be varied by the faculty.
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IT7024C
3 Semester Credits

Technologies for Mobile Applications

This class covers the technologies, devices, operating systems, and tools of mobile applications, as well as the mobile industry. Students will use tools to create apps for different mobile devices including smartphones and tablets. The scope of this course may be varied by the faculty.
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IT7027C
3 Semester Credits

IT Infrastructure Sustainability

This course introduces the planning, designing, and managing sustainable and resilient infrastructure systems and their interactions. It encompasses both built IT infrastructure and IT services that rely on integrated built and natural systems to provide corporate fundamental needs. The scope of this course may be varied by the faculty.
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IT7028C
3 Semester Credits

Advanced Storage Technologies

This course introduces storage technologies in an increasingly complex IT environment. It builds a strong understanding of advanced concepts in storage technologies. The course focuses on architectures, features and benefits of intelligent storage systems; networked storage technologies; long-term archiving solutions, the increasingly critical area of information security and the emerging field of storage virtualization technologies.
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IT7029C
3 Semester Credits

Advanced Systems Administration

Analyze and practice system administration processes for enterprise-level information systems. It includes advanced concepts in enterprise computing infrastructure analysis, deployment, management and troubleshooting. Topics include, but not limited, enterprise computing resource requirements analysis and design, application and server deployment, virtualization,security configurations, and performance analysis. The scope of this course may be varied by the faculty.
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IT7030C
3 Semester Credits

Games for Learning & Simulation

This course introduces students to the use of games to influence learning and simulation. Students will investigate and analyze different case studies. Students will use game technologies to apply learning theories to develop games for educational and simulation purposes.
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IT7071C
3 Semester Credits

Machine Learning and Data Mining for IT

This course introduces machine learning and data mining techniques. The course focuses on using applied methods and software tools to discover hidden patterns or identify anomalies in the data generated in modern IT networks.
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IT8010
1 Semester Credits

Information Technology Project

Individual projects are under the supervision of program faculty for partial fulfillment of the Master of Science degree.
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HI7010
3 Semester Credits

Health Informatics, Information Systems and Technology

This course introduces the discipline of health informatics and covers emerging trends. Various information systems, technologies and applications utilized in the context of health and healthcare are introduced. Their characteristics, strengths, challenges, purpose and impact are taught. Impact on patients, populations and healthcare providers is emphasized. Factors influencing adoption and use of various clinical and health information systems and technologies are taught. Key clinical and health information technologies and systems such as electronic health records, health information exchanges, personal health records, public health information systems and mobile health technologies are introduced in this course. Topics such as telemedicine, interoperability and technical concepts are taught, and an evaluation framework is applied.
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EDST7010
3 Semester Credits

Statistical Data Analysis I

This course introduces students to the fundamental techniques of statistical data analysis that are commonly used in the social and behavioral sciences, such as descriptive statistics and data visualization; fundamental methods of inferential statistics, such as basic hypothesis testing, t-tests, and ANOVA; and the use of statistical software to support data analysis.
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BE7022
3 Semester Credits

Introduction to Biostatistics

Students will learn basic statistics such as mean,median, mode, standard deviation, variance, etc. Topics include probability, parametric statistics such as t tests and one way analysis of variance, and nonparametric statistics including both Wilcoxon tests and Kaplan-Meier estimation of survival. Bayes theorem, discrete (eg Binomial) and continuous probability distributions (eg normal distributions and one variable regression and product moment correlation and rank correlation are covered.
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FAQs
  • Is Federal Financial Aid (Title IV) available?

    Yes. Many of our students qualify for some type of financial aid.

    Sources of aid:

  • Can I complete the program part-time?

    Programs can be completed full-time or part-time. Many programs are set up to be part-time, with most containing fewer than 10 credit hours in any given semester. We know you have a lot going on, so want to make sure that school can fit into your schedule. Note: There are some exceptions.

  • Do online students get student IDs?

    Yes. Our online students are no different from our on-campus students in that way. You get a specific ID that you can use to navigate different systems at UC and for potential student discounts.

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