Master of Science in Computer Information Systems concentration in IT Project Management
Particularly valuable for those engaged in the administration of technical projects, the 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. 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.
Degree Requirements—On Campus
(Six courses/24 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. ]Fall 2015
|B1||IND||Gorlin||FLR 109||T||6:00 pm – 9:00 pm|
|EL||IND||Gorlin||FLR 109||T||6:00 pm – 9:00 pm|
|A1||IND||Gorlin||FLR ARR||M||6:00 pm – 9:00 pm|
|EL||IND||Gorlin||FLR ARR||M||6:00 pm – 9:00 pm|
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. ]Fall 2015
|B1||IND||Arena||FLR 266||T||6:00 pm – 9:00 pm|
|EL||IND||Arena||FLR 266||T||6:00 pm – 9:00 pm|
|B1||IND||Arena||FLR ARR||T||6:00 pm – 9:00 pm|
|EL||IND||Arena||FLR ARR||T||6:00 pm – 9:00 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. ]Fall 2015
|C1||IND||Maiewski||CAS 225||W||6:00 pm – 9:00 pm|
|EL||IND||Matthews||CAS 214||W||6:00 pm – 9:00 pm|
|BCL||IND||Simovici||U||8:00 am – 3:30 pm|
|C1||IND||Maiewski||FLR ARR||W||6:00 pm – 9:00 pm|
|EL||IND||Maiewski||FLR ARR||W||6:00 pm – 9:00 pm|
|BHA||IND||Polnar||T||6:00 pm – 9:00 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. ]Fall 2015
|D1||IND||Guadagno||FLR 109||R||6:00 pm – 9:00 pm|
|EL||IND||Guadagno||FLR 109||R||6:00 pm – 9:00 pm|
|D1||IND||Guadagno||FLR 267||R||6:00 pm – 9:00 pm|
|EL||IND||Guadagno||FLR 267||R||6:00 pm – 9:00 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. ]Fall 2015
|A1||IND||Arakelian||SMG 210||M||6:00 pm – 9:00 pm|
|EL||IND||Arakelian||SMG 210||M||6:00 pm – 9:00 pm|
|A1||IND||Arakelian||212||M||6:00 pm – 9:00 pm|
|EL||IND||Arakelian||212||M||6:00 pm – 9:00 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; Not recommended for students without a programming background. Or Instructor's Consent. [ 4 cr. ]Fall 2015
|A1||IND||Donald||FLR 109||M||6:00 pm – 9:00 pm|
|EL||IND||Donald||FLR 109||M||6:00 pm – 9:00 pm|
|BCL||IND||Simovici||S||8:30 am – 4:00 pm|
|C1||IND||Donald||SHA 201||W||6:00 pm – 9:00 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 200 Fundamentals of Information Technology; Not recommended for students without a programming background. Or instructor's Consent. [ 4 cr. ]Fall 2015
|C1||IND||Braude||KCB 102||W||6:00 pm – 9:00 pm|
|C1||IND||Braude||KCB 102||W||6:00 pm – 9:00 pm|
*If a student chooses to take both MET CS 520 and MET CS 521, the first course completed will fulfill the core requirement and the second course completed will count as an elective.
Students who have completed courses on core curriculum subjects as part of their undergraduate degree program must replace the corresponding core courses with electives. It is recommended that each replacement course be in the same technical area as the original core course. Students who have work-related experience in any of the core curriculum courses may apply for a waiver by submitting appropriate documentation. When a course waiver is granted, the student must substitute a graduate-level elective for the core course.
In addition to the MS in Computer Information Systems core curriculum (24 credits), students pursuing a concentration in IT Project Management must also take the following required courses:
Required IT Project Management Courses
(Four courses/16 credits)
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. ]Fall 2015
|C1||IND||Campbell||FLR 109||W||6:00 pm – 9:00 pm|
|EL||IND||Campbell||FLR 109||W||6:00 pm – 9:00 pm|
|D1||IND||Heda||FLR 133||R||6:00 pm – 9:00 pm|
|EL||IND||Heda||FLR 133||R||6:00 pm – 9:00 pm|
MET CS 633 Distributed Software Development and Management
Many of today's software systems are developed by geographically distributed teams. The course examines software engineering in this context, from the project and program management perspective. The term project consists of in-process submissions that are thoroughly reviewed, including among peers, together with a working system prototype. No programming background is required. Prereq: MET CS 520 or MET CS 601 and MET CS 682. [ 4 cr. ]
|D1||IND||Elentukh||FLR 264||R||6:00 pm – 9:00 pm|
|EL||IND||Elentukh||FLR 264||R||6:00 pm – 9:00 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. ]
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 enterprise architecture, in the context of the technologies that implement those architectures. 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 cr. ]
|B1||IND||Schudy||FLR 264||T||6:00 pm – 9:00 pm|
|EL||IND||Schudy||FLR 264||T||6:00 pm – 9:00 pm|
Degree requirements for the blended format MS in Computer Information Systems concentration in IT Project Management can be viewed here.
Degree requirements for the online MS in Computer Information Systems concentration in IT Project Management can be viewed here.
View all Computer Science & IT graduate courses.