Master of Science in Information Systems

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Master of Science in Information Systems

Northeastern University

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Top 40 Engineering School

Accredited engineering degree offered by the College of Engineering at Northeastern University. Source

No application required

Hassle-free pathways for learners with or without conventional technical experience.

$3,000 USD per course

(4 credits at $750/credit) - Pay-as-you-go tuition lets you manage the costs, course by course.

100% online

Lecture videos, interactive practical projects, and connection with instructors and peers.

MSIS program overview

Get ready for tech leadership with a master's in information systems – regardless of your background

With no STEM or technical degree required, the MS in Information Systems program is designed to equip both technical and non-technical learners with the ability to solve complex problems in an ever-changing tech world.

Combining technical skills such as UX design and data analytics with business management expertise in agile methodologies and data management, you’ll be ready to drive digital transformation in any organization or industry. 

Get a sneak peek at the INFO 5001 | Application Modeling & Design course.

Flexibility
Progress at your own pace, and choose either full-time or part-time study during each 16-week semester.
Program length
With program start dates available in January, May and September, full-time students can finish the MSIS in as little as 18 months.
Built for real-world success
Curriculum designed to apply readily into your current or future job.
Learn on mobile
Study on the move. Mobile-friendly learning on iOS and Android available for many assignments.

Admissions information

Upcoming Deadlines:

Summer 2025 Priority Application Deadline: March 28, 2025

10% New Student Scholarship Deadline: March 28, 2025

Enroll for your course(s) and pay the $399 initial deposit by March 28, 2025 to receive the 10% New Student Scholarship applied to your first term start.

Summer 2025 Start of Classes: May 5, 2025

Upcoming Events

Stay tuned

Resources

Listen to the online MSIS program overview here

Already submitted your Fast App?

Access your personalized link to enroll here!

Already submitted your course enrollment form?

Congratulations—you're officially a Northeastern student! Be on the lookout for important messages from your success manager on next steps.

Admissions information

Upcoming Deadlines:

Summer 2025 Priority Application Deadline: March 28, 2025

10% New Student Scholarship Deadline: March 28, 2025

Enroll for your course(s) and pay the $399 initial deposit by March 28, 2025 to receive the 10% New Student Scholarship applied to your first term start.

Summer 2025 Start of Classes: May 5, 2025

Upcoming Events

Stay tuned

Resources

Listen to the online MSIS program overview here

Already submitted your Fast App?

Access your personalized link to enroll here!

Already submitted your course enrollment form?

Congratulations—you're officially a Northeastern student! Be on the lookout for important messages from your success manager on next steps.

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Build the skills you’ll need in programming, statistics and data analysis

Build a solid foundation for computer science expertise, with key programming concepts and problem-solving techniques using Python, one of the most widely used and versatile programming languages.

A focus on real-life problems and practical exercises will provide you with a strong working knowledge and sought-after computer science skills.

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Curriculum

You’ll build computing-specific academic skills across two distinct areas:

  • Qualitative reasoning skills: Exploring computer ethics, you’ll learn to think critically and communicate effectively about legal, moral and ethical issues related to your field of study.

  • Quantitative reasoning skills: You’ll use data analysis and produce engaging dashboards, apply common descriptive statistics to summarise datasets, and use data visualisation approaches to demonstrate patterns.

  • This module will provide practical experience in applying theoretical programming concepts in creative ways to solve real-world problems. Using Python, one of the most popular and versatile programming languages, you’ll build essential skills in this vital discipline.
  • On completion of this module, you’ll be proficient in implementing and manipulating data structures, managing and analysing data.
  • Topics covered include control flow statements, data structures, object-oriented programming, data wrangling with Pandas, databases and NumPy library.

  • This module provides a comprehensive knowledge base in the mathematics that underpin computer science.
  • You’ll refresh and secure your understanding of arithmetic and algebra, gain an overview of the functions and fundamentals of calculus and trigonometry, and explore a range of other mathematical concepts that will be relevant to your ongoing studies of computer science.
  • Topics covered include quadratic equations and parabolae, number bases and modular arithmetic, sequences and series, and vectors and geometry.

  • You’ll build a strong foundation of statistical knowledge on this module. You’ll grasp the fundamental principles of probability theory, allowing you to understand and apply standard statistical operators and recall essential probability distributions.
  • You’ll perform statistical inference in order to make informed decisions based on data analysis, and construct causal models to meet the requirements of different statistical analysis contexts.
  • Topics covered include discrete and continuous probability distributions, interval estimation, hypothesis testing principles, contingency tables and the chi-squared test, and simple linear regression.