Blended Master of Science in Computer Information Systems concentration in IT Project Management
Particularly valuable for those engaged in the administration of technical projects, the blended Master of Science in Computer Information Systems concentration in IT Project Management introduces general concepts embodied in the Project Management Institute’s PMBOK, while exploring specialized techniques for software risk management, software cost estimation, and software quality management. Students also learn virtual project management, enabling them to manage geographically distributed software development.
The MSCIS is accredited by the Project Management Institute Global Accreditation Center for Project Management Education Programs (GAC). Students taking any course in this concentration are eligible to take a PMP® preparation course for free—an important step toward certification as Project Management Professionals.
Students who complete the Computer Information Systems master’s degree concentration in IT Project Management will be able to demonstrate:
- Advanced knowledge in the analysis and documentation of requirements for architecture, design, and implementation of computer applications systems.
- Proficiency in software and computing skills as they pertain to the design and implementation of database systems, data communications, systems analysis, and design.
- Competence sufficient to identify current and emerging information technologies that may have strategic value for enterprise; assess where those technologies have value; and manage the implementation of those technologies in the enterprise.
- Advanced knowledge of the following project management process groups: Initiating, Planning, Executing, Monitoring and Controlling, and Closing; knowledge of agile software development practices, and planning and governance of large projects and programs.
- Proficiency in all basic project management tools and software techniques, including software architecture, project communications, risk analysis, cost estimation and budgeting, and quality control; proficiency in planning and developing a comprehensive project plan and software development life cycle.
- Competence sufficient to oversee the architecture, design, and implementation of software systems.
A total of 40 credits is required. Students must complete both the Core Curriculum and the Concentration Requirements.
(Five courses/20 credits)
MET CS 625 Business Data Communication and Networks
This course presents the foundations of data communications and takes a bottom-up approach to computer networks. The course concludes with an overview of basic network security and management concepts. Prereq: MET CS 200, or instructor's consent. This course may not be taken in conjunction with MET CS 425 (undergraduate) or MET CS 535. Only one of these courses can be counted towards degree requirements. [ 4 cr. ]Spring 2019
|B1||IND||Arena||T||6:00 pm – 8:45 pm|
|E1||IND||Arena||T||6:00 pm – 8:45 pm|
|B1||IND||Arena||KCB 102||T||6:00 pm – 8:45 pm|
MET CS 669 Database Design and Implementation for Business
Students learn the latest relational and object-relational tools and techniques for persistent data and object modeling and management. Students gain extensive hands- on experience using Oracle or Microsoft SQL Server as they learn the Structured Query Language (SQL) and design and implement databases. Students design and implement a database system as a term project. Restrictions: Only for MS CIS. This course may not be taken in conjunction with MET CS 469 (undergraduate) or MET CS 579. Only one of these courses can be counted towards degree requirements. [ 4 cr. ]Spring 2019
|A1||IND||Wolfe||M||6:00 pm – 8:45 pm|
|C1||IND||Maiewski||W||6:00 pm – 8:45 pm|
|BCL||IND||Parrott||U||8:00 am – 3:30 pm|
|BHA||IND||M||6:00 pm – 8:45 pm|
|C1||IND||Maiewski||CGS 515||W||6:00 pm – 8:45 pm|
|D1||IND||Matthews||FLR 134||R||6:00 pm – 8:45 pm|
|E1||IND||Matthews||FLR 134||R||6:00 pm – 8:45 pm|
MET CS 682 Information Systems Analysis and Design
Object-oriented methods of information systems analysis and design for organizations with data- processing needs. System feasibility; requirements analysis; database utilization; Unified Modeling Language; software system architecture, design, and implementation, management; project control; and systems-level testing. [ 4 cr. ]Spring 2019
|C1||IND||Guadagno||W||6:00 pm – 8:45 pm|
|D1||IND||Guadagno||R||6:00 pm – 8:45 pm|
|E1||IND||Guadagno||R||6:00 pm – 8:45 pm|
|D1||IND||Guadagno||KCB 102||R||6:00 pm – 8:45 pm|
|E1||IND||Guadagno||KCB 102||R||6:00 pm – 8:45 pm|
MET CS 782 IT Strategy and Management
This course describes and compares contemporary and emerging information technology and its management. Students learn how to identify information technologies of strategic value to their organizations and how to manage their implementation. The course highlights the application of I.T. to business needs. CS 782 is at the advanced Masters (700) level, and it assumes that students understand IT systems at the level of CS 682 Systems Analysis and Design. Students who haven't completed CS 682 should contact their instructor to determine if they are adequately prepared. Prereq: MET CS 682, or instructor's consent. [ 4 cr. ]Spring 2019
|D1||IND||Arakelian||R||6:00 pm – 8:45 pm|
|E1||IND||Arakelian||R||6:00 pm – 8:45 pm|
|D1||IND||Arakelian||FLR 121||R||6:00 pm – 8:45 pm|
And one of the following:
MET CS 520 Information Structures with Java
This course covers the concepts of object-oriented approach to software design and development using the Java programming language. It includes a detailed discussion of programming concepts starting with the fundamentals of data types, control structures methods, classes, applets, arrays and strings, and proceeding to advanced topics such as inheritance and polymorphism, interfaces, creating user interfaces, exceptions, and streams. Upon completion of this course the students will be able to apply software engineering criteria to design and implement Java applications that are secure, robust, and scalable. Prereq: MET CS 200 or MET CS 300 or Instructor's Consent. Not recommended for students without a programming background. [ 4 cr. ]Spring 2019
|D1||IND||R||6:00 pm – 8:45 pm|
|O1||IND||Guardino||M||7:00 am – 8:00 am|
|BCL||IND||Kieffer||S||8:30 am – 4:00 pm|
|E1||IND||Donald||KCB 104||M||6:00 pm – 8:45 pm|
|BHA||IND||Orsini||ROOM||M||6:00 pm – 8:45 pm|
MET CS 521 Information Structures with Python
This course covers the concepts of the object-oriented approach to software design and development using the Python programming language. It includes a detailed discussion of programming concepts starting with the fundamentals of data types, control structures methods, classes, arrays and strings, and proceeding to advanced topics such as inheritance and polymorphism, creating user interfaces, exceptions and streams. Upon completion of this course students will be capable of applying software engineering principles to design and implement Python applications that can be used in conjunction with analytics and big data. Prerequisite: MET CS 300 Foundations of Modern Computing, or instructor's consent. [ 4 cr. ]Spring 2019
|A1||IND||M||6:00 pm – 8:45 pm|
|C1||IND||Pinsky||W||6:00 pm – 8:45 pm|
|E1||IND||Pinsky||W||6:00 pm – 8:45 pm|
|A1||IND||Lu||CAS 213||M||6:00 pm – 8:45 pm|
|C1||IND||Aleksandrov||CAS 226||W||6:00 pm – 8:45 pm|
|D1||IND||Pinsky||CGS 527||R||6:00 pm – 8:45 pm|
Students who have completed courses on core curriculum subjects as part of their undergraduate degree program or have relevant work-related experience may request permission from the Department of Computer Science to replace the corresponding core courses with graduate-level computer information systems electives. Please refer to the MET CS Academic Policies Manual for further details.
In addition to the blended MS in Computer Information Systems core curriculum (20 credits), students pursuing a concentration in IT Project Management must also satisfy the following requirements:
Required IT Project Management Courses
(Five courses/20 credits)
MET CS 546 Quantitative Methods for Information Systems
The goal of this course is to provide Computer Information Systems students with the mathematical fundamentals required for successful quantitative analysis of problems in the field of business computing. The first part of the course introduces the mathematical prerequisites for understanding probability and statistics. Topics include combinatorial mathematics, functions, and the fundamentals of differentiation and integration. The second part of the course concentrates on the study of elementary probability theory, discrete and continuous distributions. Prereq: Academic background that includes the material covered in a standard course on college algebra or instructor's consent. [ 4 cr. ]Spring 2019
|A1||IND||Gorlin||M||6:00 pm – 8:45 pm|
|B1||IND||T||6:00 pm – 8:45 pm|
|A1||IND||Gorlin||CAS 324||M||6:00 pm – 8:45 pm|
|B1||IND||Gorlin||EPC 206||T||6:00 pm – 8:45 pm|
|E1||IND||Gorlin||EPC 206||T||6:00 pm – 8:45 pm|
MET CS 632 Information Technology Project Management
This course provides students with a comprehensive overview of the principles, processes, and practices of software project management. Students learn techniques for planning, organizing, scheduling, and controlling software projects. There is substantial focus on software cost estimation and software risk management. Students will obtain practical project management skills and competencies related to the definition of a software project, establishment of project communications, managing project changes, and managing distributed software teams and projects. [ 4 cr. ]Spring 2019
|A1||IND||M||6:00 pm – 8:45 pm|
|E1||IND||Heda||M||6:00 pm – 8:45 pm|
|D1||IND||Heda||EPC 203||R||6:00 pm – 8:45 pm|
MET CS 633 Software Quality, Testing, and Security Management
Theory and practice of security and quality assurance and testing for each step of the software development cycle. Verification vs. validation. Test case design techniques, test coverage criteria, security development and verification practices, and tools for static and dynamic analysis. Standards. Test-driven development. QA for maintenance and legacy applications. From a project management knowledge perspective, this course covers the methods, tools and techniques associated with the following processes -- Plan Quality, Perform Quality Assurance, and Perform Quality Control. Prereq: MET CS 520 or 521. Or instructor's consent. [ 4 cr. ]Spring 2019
|C1||IND||Elentukh||KCB 102||W||6:00 pm – 8:45 pm|
|E1||IND||Elentukh||KCB 102||W||6:00 pm – 8:45 pm|
MET CS 634 Agile Software Development
This course provides students with a comprehensive overview of the principles, processes, and practices of agile software development. Students learn techniques for initiating, planning and executing on software development projects using agile methodologies. Students will obtain practical knowledge of agile development frameworks and be able to distinguish between agile and traditional project management methodologies. Students will learn how to apply agile tools and techniques in the software development lifecycle from project ideation to deployment, including establishing an agile team environment, roles and responsibilities, communication and reporting methods, and embracing change. We also leverage the guidelines outlined by the Project Management Institute for agile project development as a framework in this course. [ 4 cr. ]Spring 2019
|C1||IND||W||6:00 pm – 8:45 pm|
MET CS 783 Enterprise Architecture
This course builds upon the strong technical foundation of our MSCIS and MSCS curricula, by providing students with the CIO-level management perspective and skills of an enterprise architect, in the context of the technologies that implement those architectures. Our Ross, Weil, and Robertson text provides much of the management content of the course, and the online and classroom content provide both management and technical skills. Students learn that enterprise architectures are best developed incrementally, by system development projects that are aligned with strategic goals and the enterprise architecture. The online content therefore includes many real enterprise system development case studies, showing how these enterprise systems contributed to and helped define the overall enterprise architecture. The course also includes a number of realistic enterprise architecture assignments and an incremental term project with components spanning the course, to provide students with hands on enterprise architecture experience. The course provides students with the understanding and skills needed to define and implement successful enterprise architectures that provide real value to organizations, such as substantially reducing IT costs while improving performance, agility and alignment of information technology to business goals. Prereq: MET CS 682. Or strategic IT experience. Or instructor's consent. 4 credits. [ 4 cr. ]Spring 2019
|D1||IND||R||6:00 pm – 8:45 pm|
|E1||IND||R||6:00 pm – 8:45 pm|
|B1||IND||Yates||BRB 122||T||6:00 pm – 8:45 pm|
|E1||IND||Yates||BRB 122||T||6:00 pm – 8:45 pm|
View all Computer Science & IT graduate courses.