Required Courses

Master of Science in Information Technology Management 

36 hours
Core Courses (30 Hours):

MITM 5003        Introduction to Information Technology Management (3)

MITM 5013        Telecommunications Network Management (3)

MITM 5023        Data and Knowledge Management (3)

MITM 5043        Principles of Statistical Analysis and Decision Modeling (3)

HCI 5103          Introduction to Health Care Informatics (3)

ISEC 5113        Introduction to Information Security (3)

MITM 5173        IT Law and Policy (3)

MITM 5203        IT Project Management (3)

MITM 5213        Predictive Analytics and Data Mining (3)

MITM 6113        Capstone Project or Research (3)
 

Concentration Courses offered in the following areas (6 Hours):

  • Health Care Informatics
  • Information Security
  • Leadership and Organizational Management
Certificate in Information Technology Management

15 hours

MITM 5003        Introduction to Information Technology Management (3)

MITM 5013        Telecommunications Network Management (3)

MITM 5023        Data and Knowledge Management (3)

MITM 5173        IT Law and Policy (3)

MITM 5203        IT Project Management (3)

Course Descriptions 

MITM 5003            Introduction to Information Technology Management (3)

Introduction to the basic concepts of Information Technology (IT) Management – its structure, standards, security requirements, and definitions, including the broad range of skills necessary for successful management of information technology at the enterprise level.

MITM 5013            Telecommunications Network Management (3)

In-depth study of telecommunications network management technology systems. Architecture, functions, methods and protocols necessary to design modern telecommunications network management systems.  Network management standards such as Telecommunications Management Network (TMN) and Simple Network Management Protocol (SNMP).  Basic network management concepts, protocols and methods with real-world examples used to address these. Management aspects of planning and controlling/decision making for telecommunication networks: human resources, financial planning and control, marketing, cost/benefit analysis. Marketing aspects of telecommunications networks.

MITM 5023            Data and Knowledge Management (3)

Data management: modeling, using, securing and sharing organizational data resources.  Business intelligence: applications and technologies for gathering, storing, analyzing and providing access to help enterprise users make better business decisions. Knowledge management: effective deployment of technology, organizational practices and processes to increase an organization’s return on its knowledge capital.

MITM 5043            Principles of Statistical Analysis and Decision Modeling (3)

Principles of statistical and probabilistic analysis with focus on practical decisions and risk using quantitative models.  Topics include overview of probability, descriptive and graphical statistical methods, sampling and sampling distributions, estimation, hypothesis testing, analysis of variance, study design and linear regression, decision modeling and simulation, and in-depth discussion on application of statistical techniques to the processing and interpretation of data from various industries and disciplines.

MITM 5173            IT Law and Policy (3)

Laws and policies that influence the production, distribution and use of information technologies, with a focus on issues of privacy, online speech, intellectual property, the creative commons, computer crime, and governance.

MITM 5203            IT Project Management (3)

Evaluation of methods to manage the development and implementation of a system so that it meets all aspects of stake-holder needs.  Discussions of how to initiate, analyze, develop, implement, and maintain systems projects, and of how to keep a project timeline, budget, and attain the highest possible results from an information setting.

MITM 5213            Predictive Analytics and Data Mining (3)

Investigation of predictive modeling using valuable prospective intelligence hidden within large volumes of data. In-depth study of data mining techniques at a tactical level, and understanding of how various methods and tools apply to different kinds of data intensive problems. Prerequisites: MITM 5023, 5043.

MITM 6113            Capstone Project or Research (3)

The capstone to the Information Technology Management Master’s degree is the student’s choice between a research paper or a project. The project or research paper will be a topic of the student’s choosing but it must be approved by the Director of the MS in Information Technology Management program prior to the commencement of the project or research paper. The project or research paper must be of a certain level of import and depth as to demonstrate the student’s complete understanding of the concepts and procedures of the information technology management subject matter. Note: It is highly recommended that the subject matter and whether the student will pursue a project or research paper be discussed with the Director of the MS in Information Technology Management program prior to the beginning of the first course for this degree.