*Based on 2026–2027 Boston University tuition and fees. Merit scholarship may reduce cost.
Master the Technical Elements of Project Management
The MS in Computer Information Systems (MSCIS) concentration in IT Project & Product Management can provide the technical and managerial expertise to help you advance your career in this exciting area of growth. Along with an understanding of virtual project management—enabling you to manage geographically distributed software development—you will also gain valuable, marketable skills that encompass governance of large projects and programs for both predictive and various agile lifecycles. As a graduate of the MSCIS concentration in IT Project & Product Management, you will be prepared to lead and manage agile projects—and obtain competency in roles such as scrum master or product owner, preparing you for IT leadership and artificial intelligence-integrated positions in all sectors.
The MS in Computer Information Systems, IT Project & Product Management Concentration is also available on campus in Boston. Learn more.
Curriculum
A total of 32 units is required.
Students must complete the core courses and IT Project & Product Management concentration requirements.
Prerequisites and Corequisites
Applicants to the program are required to have a bachelor’s degree in any discipline from a regionally accredited institution. Students with limited academic background in information technology or computer science may be required to enroll in the following complimentary lab. Recommendations will be provided upon admission.
Prerequisite:
MET LB 102 Introduction to Computer Information Systems
All students are required to enroll in the following complimentary labs, regardless of their background. These labs can be taken simultaneously while enrolled in the MSCIS program.
Corequisites:
MET LB 103 Core Mathematical Concepts
MET LB 104 Foundations of Probability
Core Courses
(Four courses/16 units)
One of the following:
And these three courses:
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.
Students have the option to complete a master’s thesis in addition to the program’s eight course (32 unit) requirements. The thesis option is to be completed within twelve months and is available to Master of Science in Computer Information Systems candidates who have completed at least four courses toward their degree and have a GPA of 3.7 or higher. Students are responsible for finding a thesis advisor and a principal reader within the department. The advisor must be a full-time faculty member; the principal reader may be part-time faculty with a PhD (unless waived by the department).
Learn about application requirements for BU MET graduate degree and certificate programs.
How You Benefit from a Boston University Education
A BU credential can help lay the foundation for career advancement and personal success.
Benefit from an average 24:1 student-to-instructor ratio.
Enjoy MET’s optional, complimentary Project Management Professional (PMP®) and PMI-ACP® exam preparation courses, which are ideal for those who seek to pursue PMP® certification. Those who already hold PMI® certifications can earn up to 45 PDUs per course.
Courses ensure you get the attention you need, while introducing case studies and real-world projects that ensure you gain in-depth, practical experience with the latest technologies.
Many courses prepare you to leverage artificial intelligence for the analysis, development, and integration of modern information systems.
Work closely with highly qualified faculty and industry leaders who hold the highest academic qualifications, are certified in project management, and have years of professional expertise.
All graduate students are automatically considered for merit scholarships during the application process and nominated based on eligibility. Learn more.
Rankings & Accreditations
#12, Best Online Master’s in Computer Information Technology Programs
MET’s online master’s degrees in computer information technology are ranked #12 in the nation by U.S. News & World Report.
The GAC Accredited Program seal is a mark of Project Management Institute, Inc.
PMI Global Accreditation Center for Project Management
BU MET’s MS in Project Management and MS in Computer Information Systems concentration in IT Project & Product Management are accredited by the PMI Global Accreditation Center for Project Management Education Programs (GAC).
Graduate with Project Management Expertise
Students who complete the MSCIS degree concentration in IT Project & Product Management will be able to demonstrate:
Proficiency in basic project management tools and software techniques, including software architecture, project communications, risk analysis, cost estimation and budgeting, and quality control.
Knowledge of agile software development practices, as well as planning and governance of large projects and programs.
Competence in architecting, designing, and implementing software systems.
“If your career aspirations are to get into IT leadership, this is the program to help you achieve that. You will build the necessary technical skills as well as business knowledge to help you advance in your career.” Read more.
Jason Wong (MET’21) Senior Applications Analyst, Boston Medical Center MS, Computer Information Systems; Concentration, IT Project Management
Advance Your Career
BU MET’s Computer Information Systems master’s with a concentration in IT Project & Product Management prepares you for a wealth of different roles such as project manager, scrum master, IT project manager, product owner, program/portfolio manager, project team lead, PMO/program director, and many other integral positions in an organization.
Recent graduates have found job opportunities and career paths at companies such as:
Boston Medical Center
CACI International
Citizens’ Climate Lobby
Cognizant
DevSavant
InfuseAI
Intersystems Corporation
Kibo Commerce
Maverick Digital
Positive Grid
Visa
VMware
Wells Fargo
Whirlpool
Take Advantage of Career Resources at BU MET
You will find the support you need in reaching your career goals through MET’s Career Development office, which offers a variety of job-hunting resources, including one-on-one career counseling by appointment for online students. You can also take advantage of tools and resources available online through BU’s Center for Career Development.
Maryan Rizinski Associate Professor of the Practice, Computer Science
Anatoly Temkin Assistant Professor Emeritus, Computer Science
Ming Zhang Assistant Professor, Computer Science Coordinator, BSCS Programs
Yuting Zhang Assistant Professor, Computer Science Director, Cybersecurity Coordinator, Computer Systems & Digital Forensics
Tanya Zlateva Dean, Metropolitan College & Extended Education Professor of the Practice, Computer Science and Education Education Director, Information Security, Center for Reliable Information Systems & Cyber Security
Search for a master’s in AI right now and you’ll get three very different degrees in the same list: deep technical programs for engineers, data science degrees built around statistics and modeling, and a newer category aimed at the professionals making AI work inside organizations. They may look adjacent on a search results page, but […]
An AI software engineer is a specialized developer who designs, builds, and deploys applications powered by machine learning, artificial intelligence, and generative AI. The key difference between traditional software engineers and AI software engineers lies in how they build applications. While software engineers rely on explicit logic and predefined code structures, AI software engineers construct […]
MLOps, or machine learning operations, is a set of practices that functions as an assembly line for building, deploying, and running machine learning (ML) models at scale. By fostering collaboration between data scientists, software engineers, and IT teams, MLOps enables organizations to automate machine learning workflows and deploy ML models efficiently across production environments. The […]
