Course Requirements​

Introductory Courses

Introductory course requirements for this concentration should be completed before pursuing advanced courses.

Foundation Courses

Advanced Courses

Major Elective Courses

CDM Open Elective Courses

Students must complete 1 CDM Open Elective Course chosen from either IS concentration courses from any IS concentration or other courses meeting the following rules:

  • Any CDM course in the 421-699 range qualifies, with the exception of ANI, DC, TV and VFX courses, which do not qualify.

Credit for courses taken outside of CDM will only be given if approved by a faculty advisor.

At least 1 of the Major or Open electives must be 500-level or above.

Capstone

IT 411

SCRIPTING FOR INTERACTIVE SYSTEMS

CSC 401

INTRODUCTION TO PROGRAMMING

An introduction to programming with a focus on problem solving, structured programming, and algorithm design with a gentle introduction to efficiency. Concepts covered include data types, expressions, variables, assignments, conditional and iterative structures, functions, file input/output, exceptions, namespaces, and recursion. PREREQUISITE(S): None
Prerequisites:
CDM graduate students in the Preqrequisite Phase are restricted from registering for this class.

IT 403

STATISTICS AND DATA ANALYSIS

Introduction to univariate data analysis methods. Descriptive statistics and data visualization methods. Overview of sampling techniques for data collection, and introduction to statistical inference methods for decision making including simple linear regression, estimation procedures using confidence intervals and hypothesis testing. PREREQUISITE(S): None
Prerequisites:
CDM graduate students in the Preqrequisite Phase are restricted from registering for this class.

IS 400

INTRODUCTION TO IS MANAGEMENT SEMINAR

This one-credit seminar examines the concepts of information and technology management and career options in this field. Students will assess their own interests and skill requirements for various careers. They will also analyze the impacts of IS trends and emerging technologies on their career choices. All new IS master's students are required to take this seminar as the first course. PREREQUISITE(S): None
Prerequisites:
CDM graduate students in the Preqrequisite Phase are restricted from registering for this class.

IS 421

SYSTEMS ANALYSIS

Course focus is on both traditional and object oriented systems analysis, with an emphasis upon developing competency in a wide range of modeling techniques. Specific topics include: overview of the software development environment and project management; project selection, initiation, and planning; determining requirements; process modeling, including DFDs and use cases; logic modeling, including decision tables, sequence diagrams, and activity diagrams; introduction to Entity-Relationship Diagrams. PREREQUISITE(S): None
Prerequisites:
CDM graduate students in the Preqrequisite Phase are restricted from registering for this class.

CSC 451

DATABASE DESIGN

Requirement analysis, conceptual design, logical design and implementation of relational databases. Emphasis will be on E-R modeling and E-R mapping, along with basic normalization and SQL for database implementation. PREREQUISITE(S): None
Prerequisites:
CDM graduate students in the Preqrequisite Phase are restricted from registering for this class.

IS 422

SYSTEM DESIGN, IMPLEMENTATION, AND MAINTENANCE

Course focus is on both traditional and object oriented systems design. Specific topics include: database design, including logical and physical design; Entity-Relationship diagrams, class diagrams, form and report design; interface and dialogue design; design specifications, including structure charts and prototypes; designing for LANs and distributed systems, as well as the Internet; system implementation, including parallel and phased implementation, testing, documentation, and user training; system maintenance, including types of maintenance, controlling and coordinating maintenance requests, and configuration management. Course ends with a multi-week case study applying the principles from both this course and IS 421, Systems Analysis. PREREQUISITE(S): IS 421 and CSC 451
Prerequisites:
CDM graduate students in the Preqrequisite Phase are restricted from registering for this class.

ECT 424

ENTERPRISE INFRASTRUCTURE

Introduction to modern infrastructure and the evolving technology environment. Major topics include: computer networks, Internet infrastructure, Web 2.0, Enterprise 2.0, social media and networking, software as a service, content management systems, cloud computing, and portal.
Prerequisites:
CDM graduate students in the Preqrequisite Phase are restricted from registering for this class.

IS 430

FUNDAMENTALS OF IT PROJECT MANAGEMENT

This course concentrates on monitoring, managing and controlling assets and resources on a single IT project. Topics covered are risk management; procurement and contract management; time and cost estimating; controlling and tracking techniques; quality assurance; testing and audit. Students will use common project management software for resource allocation and balancing. PREREQUISITE(S): None
Prerequisites:
CDM graduate students in the Preqrequisite Phase are restricted from registering for this class.

IS 560

ENTERPRISE SYSTEMS

An introduction to enterprise systems for data and process integration, including ERP systems. Topics include the requirements of enterprise systems, application architecture, tools, and functionality of leading enterprise systems, life cycle and methodologies for systems integration, selection, and implementation strategies. Also addressed are emerging trends for enterprise systems and relationship among component systems. PREREQUISITE(S): Advanced Standing
Prerequisites:
CDM graduate students in the Preqrequisite Phase are restricted from registering for this class.

IS 574

BUSINESS INTELLIGENCE

Introduction to the concepts of business intelligence (BI) as components and functionality of information systems. How business problems can be solved effectively by using operational data to create data warehouses, and then applying data mining tools and analytics to gain new insights into organizational operations. Detailed discussion of the analysis, design and implementation of systems for BI, including: data management systems, decision support systems, group support systems, knowledge engineering, expert systems, and Web 2.0 tools. Case studies of application software, web tools, success and limitation as well as technical and social issues. (PREREQUISITE(S): (SE 430 or IS 435 or PM 430 or MIS 674) and CS C451
Prerequisites:
CDM graduate students in the Preqrequisite Phase are restricted from registering for this class.

CSC 423

DATA ANALYSIS AND REGRESSION

Multiple regression and correlation, residual analysis, analysis of variance, and robustness. These topics will be studied from a data analytic perspective, supported by an investigation of available statistical software. PREREQUISITE(S): IT 403
Prerequisites:
CDM graduate students in the Preqrequisite Phase are restricted from registering for this class.

IS 567

KNOWLEDGE DISCOVERY TECHNOLOGIES

An introduction to the Knowledge Discovery Technologies covering all stages of a data mining process: domain understanding, data collection and selection, data cleaning and transformation, dimensionality reduction, pattern discovery, evaluation, and knowledge extraction. The course provides a comprehensive overview of data mining techniques used to realize these stages, including traditional statistical analysis and machine learning techniques. Students will analyze large datasets and develop modeling solutions to support decision making in various domains such as healthcare, finance, security, marketing, customer relationship management (CRM), and multimedia. PREREQUISITE(S): IT 403
Prerequisites:
CDM graduate students in the Preqrequisite Phase are restricted from registering for this class.

IS 456

KNOWLEDGE MANAGEMENT SYSTEMS

Survey of emerging technologies supporting organizational knowledge processes including capture, codification, structure, storage, dissemination and reuse. The course will critically examine how organizations may leverage these technologies toward competitive advantage. Students will experiment with contemporary knowledge management (KM) tools. Some theoretical perspectives on knowledge management (KM) and organizational learning (OL) will be introduced. PREREQUISITE(S): None
Prerequisites:
CDM graduate students in the Preqrequisite Phase are restricted from registering for this class.

ECT 480

INTRANETS AND PORTALS

Intranet development methodology. Data warehousing concept and On-Line analytic processing (OLAP) for information management. Enterprise information portals (EIP). Transforming information into knowledge. Major applications involve: decision support, customer applications and content personalization for intranet. Students will conduct case studies and projects. PREREQUISITE(S): ECT 424
Prerequisites:
CDM graduate students in the Preqrequisite Phase are restricted from registering for this class.

ECT 586

CUSTOMER RELATIONSHIP MANAGEMENT TECHNOLOGIES

An in-depth study of customer relationship management (CRM) technologies and applications. The special focus will be on the application of CRM technologies for managing the customer lifecycle across Internet and offline channels. Topics include customer identification, data integration, personalization technologies, web and email interaction techniques; sales force automation applications; call centers, field service and logistics applications; customer self-service and customer knowledge management technologies. Students will review and compare specific eCRM technologies and develop an Internet customer interaction system to support an eCRM strategy in group project. PREREQUISITE(S): ECT 424
Prerequisites:
CDM graduate students in the Preqrequisite Phase are restricted from registering for this class.

CSC 424

ADVANCED DATA ANALYSIS

The course will teach advanced statistical techniques to discover information from large sets of data. The course topics include visualization techniques to summarize and display high dimensional data, dimensional reduction techniques such as principal component analysis and factor analysis, clustering techniques for discovering patterns from large datasets, and classification techniques for decision making. The methods will be implemented using standard computer packages. PREREQUISITE(S): CSC 423 or consent of instructor.
Prerequisites:
CDM graduate students in the Preqrequisite Phase are restricted from registering for this class.

ECT 584

WEB DATA MINING FOR BUSINESS INTELLIGENCE

An in-depth study of the knowledge discovery process and its applications in Web mining, Web analytics and business intelligence. The course provides coverage of various aspects of data collection and preprocessing, as well as basic data mining techniques for segmentation, classification, predictive modeling, association analysis, and sequential pattern discovery. The primary focus of the course is the application of these techniques to Web analytics, user behavior modeling, e-metrics for business intelligence, Web personalization and recommender systems. Also addressed are privacy and ethical issues related to Web data mining. Students can choose from three types of final course projects: implementation projects, research papers, or data analysis projects. Throughout the course, the students will learn and use a variety of data mining tools to analyze sample data sets as part of class assignments. PREREQUISITE(S): IT 403 AND (CSC 451 or CSC 453)
Prerequisites:
CDM graduate students in the Preqrequisite Phase are restricted from registering for this class.

IS 549

DATA WAREHOUSING AND DATA MINING

Introduction to data warehousing and the foundations of understanding the issues involved in building a successful data warehouse. Data warehouse development methodology and issues surrounding the planning of the data warehouse. Data quality and metadata in the data warehouse. Analysis, transformation and loading of data into a data warehouse. Development of the data architecture and physical design. Implementation and administration of the data warehouse. Introduction to data mining. (PREREQUISTE(S):CSC 451 or CSC 453
Prerequisites:
CDM graduate students in the Preqrequisite Phase are restricted from registering for this class.

ECT 410

DEVELOPMENT OF WEB-BASED BUSINESS APPLICATIONS

Development of web-based business solutions using client-side and server-side technologies. Major topics include analysis and design of web projects for a business, web application design patterns, server-side programming, and access to databases. PREREQUISITE(S): CSC 401 or IT 411
Prerequisites:
CDM graduate students in the Preqrequisite Phase are restricted from registering for this class.

HCI 406

WEB SITE DESIGN FOR HCI

Web design introduced in a user-centered context. Application of visual design principles and common design patterns for web sites and mobile interfaces. Page markup using HTML and CSS addressing responsive web design, accessibility, and search engine optimization. PREREQUISITE(S): None
Prerequisites:
CDM graduate students in the Preqrequisite Phase are restricted from registering for this class.

IS 577

INFORMATION SYSTEMS POLICIES AND STRATEGIES

This capstone course emphasizes the planning and management of information technologies and related resources at the corporate level. Topics covered include assessment of information technologies, tracking emerging technologies and trends, managing portfolio resources and matching them to business needs, technology transfer, end-user computing, outsourcing, theoretical models, strategic applications and strategic IT planning. Students are encouraged to take this course toward the end of their study. PREREQUISITE(S):Completion of ten or more SoC MS level courses is required.
Prerequisites:
CDM graduate students in the Preqrequisite Phase are restricted from registering for this class.

IT 411

SCRIPTING FOR INTERACTIVE SYSTEMS

Introductory scripting for developing interactive web pages. Overview of HTML and CSS. Elementary programming concepts using JavaScript for learning control structures, functions, arrays, and object use. User interface development concepts include event handling and use of JavaScript libraries such as jQuery. Review of web clients, servers and architecture. PREREQUISITE(S): None
Prerequisites:
CDM graduate students in the Preqrequisite Phase are restricted from registering for this class.