Required Courses:
Management Information Systems
Credit Hours: 2
This course examines the role of information technology, and its management, in supporting an organization's (internally and externally focused) operations and strategies. Particular attention is given to issues associated with the funding and building of business and technology architectures to enable efficient, effective, and adaptable operational, tactical and strategic actions.
Choose 10 credit hours from the following list:
Analytics Programming
Credit Hours: 2
Programming in languages used for data extraction and preparation of data for data analytics and data mining.
Special Topics/Seminar (Topic: Analytics Programming II)
Credit Hours: 2
Special topics or seminar course for content not currently offered in regularly scheduled courses. May include library and/or laboratory research and field projects.
Database Design and Administration
Credit Hours: 2
This course is concerned with the design and governance of organizational data and its use. In this module, students will learn about the roles of database designers and administrators. Along the way, students will learn about the modeling techniques used by database designers to develop organizational databases and the standard language used to interface with databases.
Project Management
Credit Hours: 2
Focus on managing projects, including their implementation within an organization. A project is a complex, non-routine, one-time effort limited by time, budget, resources, and performance specifications designed to meet customer needs. The characteristics make project management a particularly challenging management task. Project management concepts apply to many other types of organizational activities, e.g., managing task forces and committees. Planning, organizing, staffing, and controlling projects require traditional management skills, an understanding of quality assurance techniques, and an appreciation of the unique challenges of managing projects.
Business Data Analysis
Credit Hours: 2
Surveys analysis tools available in Excel relevant to business decision-making. The objective of the course is to be aware and comfortable with analytical techniques used for knowledge discovery, and to understand the power and potential of these tools in business settings. Also examines illustrations and applications across different functional areas.
Managing ERP Systems
Credit Hours: 2
Enterprise Resource Planning (ERP) introduces students to enterprise systems and provides an overview of the managerial and technical issues in planning, designing, implementing, and extending enterprise systems and technologies. Focus of the course is managerial with some technical content and several hands-on exercises involving enterprise software from the industry leader SAP.
Social Analytics
Credit Hours: 2
Introduce students to analytic and visualization techniques required for processing social and social media data.
Management of Business Intelligence
Credit Hours: 2
This course will adopt a managerial perspective to recognize the role of Business Intelligence and provide practical hands-on experience. Course sessions will help students understand how organizations could develop strategies to discover patterns in data and use this to compete in the global marketplace.
Data Science and Analytics
Credit Hours: 2
Students will compare and experience data science tools along with the newer tools and methods of analytics, with the goal of becoming knowledgeable in both sets of tools.
Cloud Computing
Credit Hours: 2
Offers detailed discussion and hands-on exploration of technologies used to process, manage, and store 'big data'. The ecosystem of products we will be focusing on surrounds Hadoop, including the Hadoop File System, MapReduce, and others. This course involves many labs, and familiarity with SQL is helpful. Programming expertise is not required, but optional materials will be provided.
Enterprise Modeling
Credit Hours: 2
An in-depth study of enterprise modeling techniques using an industry-standard data mining technology suite. Students will develop a conceptual understanding of the major concepts used in data analytics, along with in-depth use of corresponding computer software.
Principles of Data Warehousing
Credit Hours: 2
This class will introduce students to concepts relating to a data warehouse (DW), considered a core component of business intelligence and data analytics in an organization. Students will learn to use current tools to develop requirements and create and maintain a DW. Students will also learn to manipulate data in the DW to extract and generate analytical reports for employees.
Health Information Technologies
Credit Hours: 2
This course examines the application of health information technologies. It explores human-computer interactions and emerging technologies for their impact on patient care and safety. The course also discusses the role of legal, regulatory, ethical, and security issues as they apply to clinical and consumer information technologies.
Healthcare Information Systems
Credit Hours: 2
Students will apply project management and information systems development principles in developing an electronic health record software application to support healthcare decision-making. Students will also explore data manipulation and analytics using structured query language (SQL) and healthcare data analytics tools.