Curriculum

The 30-credit Master of Science in Information Technology Management (MSITM) program consists of coursework centered on information technology management with concentrations in IT Management and Business Analytics. 

 

MSITM (Concentration in IT Management)

Required Coursework - 10 Courses (30 credits):

  • College of Business Core Curriculum 6 Courses (18 credits)
  • 4 Required Electives (12 credits):
    • 2 courses (6 credits) from Department of Information Technology & Operations Management (ITOM) 
    • 2 courses (6 credits) from Department of Electrical Engineering & Computer Science (EECS) 

College of Business - Core Curriculum (18 credits)

Management Information Systems and Technology (ISM 6026)

(3 credits)

Study and evaluation of information systems: types, development and use. Emphasizes understanding information systems in the context of managerial use, problems, and opportunities.

*Microsoft Office 365; Microsoft Project

IT Project and Change Management (ISM 6316)

(3 credits)

Addresses key issues in managing information technology projects through a study of the project life cycle. Topics include planning and control, risk management, change management, portfolio management, and the use of project management software.

*Microsoft Project

Management of Information Assurance and Security (ISM 6328)

(3 credits)

Introduces students to the various technical and administrative aspects of information security. Emphasis is on the management of information security efforts.

Web-based Business Development (ISM 6508)

(3 credits)

Develops skills for launching and managing web-based businesses. Students complete a business plan for starting an online business of their choice. Additional topics include evaluating current web-based business opportunities, online entrepreneurship, web-based venture financing and e-business operations.

Information Technology Sourcing Management (ISM 6509)

(3 credits)

Assists students in developing the knowledge and skills needed to work with IT service providers and processes. IT focuses on the concepts and methods associated with designing, planning, and contracting for IT infrastructure and applications

Communication Strategies for Business Professionals (GEB 6217)

(3 credits)

Writing and speaking strategies linked to (1) critical thinking for problem analysis/solution and persuasive proposals and (2) research for decision-making. Students submit papers and presentations from core courses.

 

ITOM - Choose 2 Elective Courses (6 credits) from list below:

Data Mining and Predictive Analytics (ISM 6136)

Introduces the core concepts of data mining (DM) and its techniques, implementation and benefits. Identifies industry branches that most benefit from DM, such as retail, target marketing, fraud protection, health care and science, and web and e-commerce. Detailed case studies and using leading mining tools on real data are presented.

Advanced Business Analytics (ISM 6405)

An in-depth examination of business analytics methods of visualization, data mining, text mining and web mining, using various analytical tools. In a laboratory setting, investigates applications for smaller firms.

Blockchain and Digital Buiness Transformation (ISM 6455)

Digital transformations are encompassing all organizations, business sectors, and society. Course provides a critical understanding of transformative technological innovations, such as Blockchain, and their wide-ranging impact. Learn trends in technology innovation, business strategies, cryptocurrencies, and Bitcoin. Understand business applications of Blockchain for Finance, Supply Chain Management and various business and government sectors. Learn to identify opportunities for digital business transformation.

Business Innovation with Artificial Intelligence (ISM 6427C)

Covers essential conepts and scope of Artificial Intelligence (AI) from a business perspective. Learn the theory of AI and building end-to-end pipelines. Undesrtand how AI is used across a wide variety of businesses and industries. Learn how AI and Machine Learning models are built, how to apply AI to operations, marketing, customer relationship, and social media, and how to transform business through AI - strategy to organization to implementation.

*IBM Watson and AI Business Models

Social Media and Web Analytics (ISM 6555)

Covers concepts and techniques for retrieving, exploring, visualizing and analyzing social network and social media data, website usage and clickstream data. Learn to use key metrics to assess goals and return on investment and perform social network analysis to identify important social actors, subgroups and network properties in social media.

Data Management and Analysis with Excel (QMB 6303)

Solve research and business problems by leveraging the most powerful productivity tool, Excel. Curation, management, analysis, and visualization of information and data are covered by using PowerView, Vlookup, charts, pivot tables, scenarios, functions, macro programming, etc.

 

EECS - Choose 2 Elective Courses (6 credits) from list below:

CAP 5615 Introduction to Neural Networks

CAP 5625 Computational Foundations of Artificial Intelligence

CAP 5768 Introduction to Data Science

CAP Social Network and Big Data Analytics

CAP 6411 Foundations of Vision

CAP 6610 Applied Machine Learning

CAP 6640 Natural Language Processing

CAP 6673 Data Mining and Machine Learning

CAP 6676 Information Retrieval

CAP 6807 Computational Advertising and Real-Time Data Analytics

CEN 5035 Software Engineering

CEN 5086 Cloud Computing

CEN 6027 Software Maintenance and Evolution

CEN 6076 Software Testing

CEN 6085 Software Architecture and Patterns

CIS 6370 Computer Data Security

CNT 5109 Sensor Networks and Smart Systems

CNT 6517 Mobile Computing

COP 6731 Theory and Implementation of Database Systems

COT 5930, 6930 Topics in Computer Science

 


 

MSITM (Concentration in Business Analytics)

Required Coursework - 10 Courses (30 credits):

  • College of Business Core Curriculum 7 Courses (21 credits) 
  • 3 Required Electives (9 credits):
    • 1 course (3 credits) from Department of Information Technology & Operations Management (ITOM) 
    • 2 courses (6 credits) from Department of Electrical Engineering & Computer Science (EECS) 

College of Business -  Core Curriculum  (21 credits)

Management Information Systems and Technology (ISM 6026)

(3 credits)

Study and evaluation of information systems: types, development and use. Emphasizes understanding information systems in the context of managerial use, problems, and opportunities.

*Microsoft Office 365; Microsoft Project

Data Mining and Predictive Analytics (ISM 6136)

(3 credits)

Introduces the core concepts of data mining (DM) and its techniques, implementation and benefits. Identifies industry branches that most benefit from DM, such as retail, target marketing, fraud protection, health care and science, and web and e-commerce. Detailed case studies and using leading mining tools on real data are presented.

Introduction to Business Analytics and Big Data (ISM 6404)

(3 credits)

Provides an understanding of the business intelligence and business analytics processes and techniques used in transforming data to knowledge and value in organizations. Students also develop skills in analyzing data using generally available tools, e.g. Excel.

Advanced Business Analytics (ISM 6405)

(3 credits)

An in-depth examination of business analytics methods of visualization, data mining, text mining and web mining, using various analytical tools. In a laboratory setting, investigates applications for smaller firms.

Business Innovation with Artificial Intelligence (ISM 6427C)

(3 credits)

Covers essential conepts and scope of Artificial Intelligence (AI) from a business perspective. Learn the theory of AI and building end-to-end pipelines. Undesrtand how AI is used across a wide variety of businesses and industries. Learn how AI and Machine Learning models are built, how to apply AI to operations, marketing, customer relationship, and social media, and how to transform business through AI - strategy to organization to implementation.

*IBM Watson and AI Business Models

Social Media and Web Analytics (ISM 6555)

(3 credits)

Covers concepts and techniques for retrieving, exploring, visualizing and analyzing social network and social media data, website usage and clickstream data. Learn to use key metrics to assess goals and return on investment and perform social network analysis to identify important social actors, subgroups and network properties in social media.

Communication Strategies for Business Professionals (GEB 6217)

(3 credits)

Writing and speaking strategies linked to (1) critical thinking for problem analysis/solution and persuasive proposals and (2) research for decision-making. Students submit papers and presentations from core courses.

 

ITOM - Choose 1 Elective Courses (3 credits) from list below:

IT Project and Change Management (ISM 6316)

(3 credits)

Addresses key issues in managing information technology projects through a study of the project life cycle. Topics include planning and control, risk management, change management, portfolio management, and the use of project management software.

*Microsoft Project

Management of Information Assurance and Security (ISM 6328)

(3 credits)

Introduces students to the various technical and administrative aspects of information security. Emphasis is on the management of information security efforts.

Web-based Business Development (ISM 6508)

(3 credits)

Develops skills for launching and managing web-based businesses. Students complete a business plan for starting an online business of their choice. Additional topics include evaluating current web-based business opportunities, online entrepreneurship, web-based venture financing and e-business operations.

Information Technology Sourcing Management (ISM 6509)

(3 credits)

Assists students in developing the knowledge and skills needed to work with IT service providers and processes. IT focuses on the concepts and methods associated with designing, planning, and contracting for IT infrastructure and applications

Data Management and Analysis with Excel (QMB 6303)

(3 credits)

Solve research and business problems by leveraging the most powerful productivity tool, Excel. Curation, management, analysis, and visualization of information and data are covered by using PowerView, Vlookup, charts, pivot tables, scenarios, functions, macro programming, etc.

 

EECS - Choose 2 Elective Courses (6 credits) from list below:

CAP 5615 Introduction to Neural Networks

CAP 5625 Computational Foundations of Artificial Intelligence

CAP 5768 Introduction to Data Science

CAP 6315 Social Network and Big Data Analytics

CAP 6546 Data Mining for Bioinformatics

CAP 6610 Applied Machine Learning

CAP 6619 Deep Learning

CAP 6640 Natural Language Processing

CAP 6673 Data Mining and Machine Learning

CAP 6676 Information Retrieval

CAP 6777 Web Mining

CAP 6778 Advanced Data Mining and Machine Learning

CAP 6780 Big Data Analytics with Hadoop

CAP 6807 Computational Advertising and Real-Time Data Analytics

CEN 6405 Computer Performance Modeling

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