Online Master of Science in Information Systems


Your gateway to being a leader in tech engineering—even without previous tech experience.








$3,000 per course

About the program

With the Online Master’s of Science in Information Systems (MSIS) from the College of Engineering at Northeastern University, you’ll learn how to use technology to address the challenges facing people in businesses, organizations and communities across the world.

Designed for graduates and working professionals from any background, the MSIS equips you with the technical skills and business management expertise to drive digital transformation in any organization. You’ll gain deep applied knowledge across a range of technological fields, including UX design, software development, data analytics and digital business processes.

Along the way, you’ll absorb and become proficient in business leadership best practices. With a strong working knowledge of quality assurance, data management, agile methodologies and marketing assessment, you’ll be ready for leadership in almost any organization or industry.

With this unique and flexible set of must-have skills, you’ll be ideally positioned to step into a diverse range of tech leadership roles, including IT project manager, systems administrator, software developer, information security analyst and more.

This prestigious and meticulously designed master’s allows capable graduates from all academic and professional backgrounds to reposition themselves across a range of rapidly growing IT industries, ready to help define and lead the systemic changes that are reshaping our societies.

Learn more about the Online MSIS program on Coursera.


  • Mobile app software engineering 70% 70%
  • User experience (UX) design 60% 60%
  • Python application engineering 80% 80%
  • Information systems development 50% 50%
  • Agile software development 70% 70%
  • Business management 90% 90%

Skip the application—let your performance pave your way

With the MSIS program’s fast app pathways, you can skip the application process, and use your performance on two initial courses to secure your place in the MSIS.

Complete two courses, get a ‘B’ or better, show proof of your bachelor's degree by the time you complete the two courses, and you’ll join the next cohort on the master’s degree.

View the pathway courses for the upcoming term.

You can also apply to the program using the standard graduate application for direct admission consideration. Learn more about the standard application requirements at the College of Engineering graduate admissions.

No tech experience?

Complete the MSIS Bridge specialization, Information Systems Foundations, through Coursera, before joining the Online MSIS performance-based admissions pathway courses. Fill out the Fast App to find out if the Bridge specialization is your pathway into the program.

Upcoming deadlines

TermSubmit your Fast App ByStart Date
Fall 2024August 15September 4
Spring 2025December 15January 6
Summer 2025April 15May 5

Fill out the fast app to get started on your MS in Information Systems degree today.

Fall 2024 pathway courses

Take a look at the fast app performance-based pathway courses starting September 2024. Use the course outlines to start preparing in advance of the courses starting.

For your performance-based pathway, you'll enroll in INFO 5100 and your choice of available elective shown below for a total of two courses.

INFO 5100: Application Engineering & Development

Note: INFO 5100 must be taken first or in combination with other available course.

Takes students in a step-by-step manner through the process of systematically combining UX techniques, business processes, and complex data models to assemble applications that are user-friendly and meet business requirements. Employs the object-oriented paradigm, visual user experience, and system design principles to put together complicated, powerful, real-world applications. The primary objective of this course is to practice social-technical software engineering methods and tools to solve real-world problems. Offers students an opportunity to learn innovative design and programming techniques to build significant business applications quickly; to practice simple and smart ways of making software construction enjoyable; and to master the art of how to systematically write software programs to solve any business problem.

View the INFO 5100 course outline.

INFO 6150: Web Design & User Experience Engineering

In this course, you’ll learn how to integrate user experience engineering with the conceptual and technical aspects of web design, meeting web standards and best practices. By studying fundamental concepts, techniques, practices, work flows and tools associated with the practice of user-experience design in Web interfaces, you’ll learn to create useful, user-friendly websites that are easily navigated and meet the needs of the site’s owners and users. You’ll pull together a detailed overview of how design aspects such as typography, color theory and composition, responsive design, CSS3 concepts, basic scripting and JavaScript libraries interact to create functional, effective and visually appealing websites. Upon completion, this course will have provided you with a working knowledge of the core principles of information architecture, usability, marketing hierarchy and user experience.

View the INFO 6150 course outline.

DAMG 6210: Data Management and Database Design

Studies design of information systems from a data perspective for engineering and business applications; data modeling, including entity-relationship (E-R) and object approaches; user-centric information requirements and data sharing; fundamental concepts of database management systems (DBMS) and their applications; alternative data models, with emphasis on relational design; SQL; data normalization; data-driven application design for personal computer, server-based, enterprise-wide, and Internet databases; and distributed data applications.

View the DAMG 6210 course outline.

You may also like

Business man working on the computer

MS in Data Analytics Engineering


MS in Information Systems

On-campus and Hybrid Format