Computer Information Systems concentration in IT Project Management, Master’s Degree
The MS in Computer Information Systems concentration in IT Project Management is particularly valuable for those engaged in the administration of technical projects. Students are introduced to 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 a Project Management Professionals.
Students who complete the MSCIS degree concentration in IT Project Management will be able to demonstrate:
- 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.
#3, Best Online Graduate Computer Information Technology Programs (U.S. News & World Report 2016)
Accredited by the Project Management Institute Global Accreditation Center for Project Management Education Programs (GAC)
Certified by the Committee on National Security Systems (CNSS)
Why Choose BU’s IT Project Management?
- In 2016, the MSCIS ranked #3 among the Best Online Graduate Computer Information Technology Programs (U.S. News & World Report).
- The MSCIS program as been accredited by the Project Management Institute Global Accreditation Center for Project Management Education Programs (GAC).
- Students benefit from a supportive online network, with courses developed and taught by PhD-level full-time faculty and professionals with hands-on expertise in the industry.
- Small course sections ensure that students get the attention they need, while case studies and real-world projects ensure that they gain in-depth, practical experience with the latest technologies.
- Students taking any course in this concentration are eligible to take a PMP® preparation course for free—an important step toward certification as a Project Management Professional.
Computer and Information Systems Managers
15% increase in jobs through 2024
$131,600 median annual pay in 2015
Computer and Information Research Scientists
11% increase in jobs through 2024
$110,620 median annual pay in 2015
Network and Computer Systems Administrators
8% increase in jobs through 2024
$82,710 median annual pay in 2014
11% increase in jobs through 2024
$77,810 median annual pay in 2014
Bureau of Labor Statistics, U.S. Department of Labor, Occupational Outlook Handbook, 2016-17 Edition
Best Technology Jobs, 2016 U.S. News & World Report
- #1 Computer Systems Analyst
- #2 Software Developer
- #3 Web Developer
- #4 IT Manager
- #5 Information Security Analyst
- #6 Database Administrator
- #8 Computer Systems Administrator
The U.S. demand for project practitioners is expanding by more than 12 percent, resulting in almost 6.2 million jobs in 2020.
PMI® Talent Gap Report
The online Master of Science in Computer Information Systems consists of ten courses (40 credits).
Students pursuing the concentration in IT Project Management must complete the following courses:
(Five courses/20 credits)
METCS625 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 credits]
METCS669 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 credits]
METCS682 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 credits]
METCS782 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 credits]
And one of the following*:
METCS520 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 credits]
METCS521 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 credits]
*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 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.
(Five courses/20 credits)
METCS546 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 credits]
METCS632 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 credits]
METCS633 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 521, and MET CS 682. Or instructor's consent. [4 credits]
METCS634 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 credits]
METCS783 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 credits]
Applicants to the program are required to have a bachelor’s degree from a regionally accredited institution and proficiency equivalent to the following areas:
METCS200 Fundamentals of Information Technology
This course is a technically-oriented introductory survey of information technology. Students learn about basic computer information, different types of business systems and basic systems analysis, design and development. Students also study basic mathematics, software development and create simple Java programs. [4 credits]
If college-level credit courses are not in evidence, the department will determine what prerequisite courses must be completed in addition to graduate degree requirements. Students claiming equivalent proficiency in the prerequisite courses from non-academic sources must take an examination to demonstrate such proficiency.
Associate Professor of Computer Science
PhD, Columbia University; MS, University of Miami; MS, University of Illinois; BS, University of Natal (South Africa)
Associate Dean for Academic Affairs and Associate Professor of Computer Science; Director of Health Informatics and Health Sciences Programs
PhD, Boston University; MS, Medical College of Virginia; MS, BS, University of Belgrade
Lecturer in Computer Science
MSEE, BSEE, University of Illinois
Lecturer in Computer Science
MS, Southern Connecticut State University; BS, University of Wisconsin, Madison
Assistant Professor of Computer Science; Director of Analytics Programs
PhD, Brandeis University; MS, Indian Institute of Technology; BS, Regional Engineering College (Warangal, India)
Vijay Kanabar, PMP
Associate Professor of Computer Science; Director of Project Management Programs
PhD, University of Manitoba (Canada); MS, Florida Institute of Technology; MBA, Webber College; BS, University of Madras (India)
Jae Young Lee
Assistant Professor of Computer Science
PhD, MS, University of Texas at Arlington; BS, Seoul National University (Korea)
Associate Professor of Computer Science; Director of the Online MS in Computer Information Systems
PhD, MS, University of Rochester; BA, University of California San Diego
Associate Professor Emeritus of Computer Science
PhD, Leningrad Aluminum Institute (Russia); MS, Leningrad Institute of Technology; MBA, Boston University
Assistant Professor and Chair of Computer Science
PhD, Kazan University (Russia); MS, Moscow University
Assistant Professor of Computer Science; Faculty Coordinator for Health Informatics Programs
PhD, MEng, Nanyang Technological University, Singapore; BS, Luoyang Institute of Technology
Assistant Professor of Computer Science
PhD, Boston University; MS, BS University of Science and Technology Beijing
Dean of Metropolitan College and Professor of the Practice of Computer Science and Education; Director of Security Programs
PhD, Dresden University of Technology (Germany); MS, Dresden University of Technology; BS, Dresden University of Technology
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