Harrisburg University MS in Information Systems Engineering & Management

Harrisburg University of Science and Technology offers a 36-credit MS in Information Systems Engineering & Management that combines systems engineering, business management, analytics, and artificial intelligence. The program includes a dedicated Artificial Intelligence for Business concentration and covers machine learning, deep learning, generative AI, big data, and intelligent systems.

Quick Facts

SchoolHarrisburg University of Science and Technology
LocationHarrisburg, Pennsylvania
DegreeMS in Information Systems Engineering & Management
Credits36
FormatMostly Online / Executive Weekend
Estimated TuitionAbout $34,380 before program-specific fees
Length2 years / 6 semesters
AI FocusArtificial Intelligence for Business concentration; ML, deep learning, generative AI, analytics

Curriculum

The ISEM curriculum requires 12 three-credit courses. Students complete five core courses, five concentration or elective courses, and two capstone courses. Harrisburg University states that the core must be completed during the first year, with concentration electives becoming available in the second year.

Core study covers strategic planning for digital transformation, business strategy and management, systems engineering, enterprise architecture, and one additional approved core course. One option is ISEM 503: Artificial Intelligence Principles and Applications, which introduces intelligent behavior, problem solving, knowledge representation, learning, perception, pattern recognition, decision making, and integrated intelligent systems.

The program also addresses predictive and generative AI, machine learning, deep learning, big data, business intelligence, cloud computing, blockchain, automation, and enterprise systems. The curriculum is broader than a pure machine learning degree because it combines technical systems work with enterprise architecture and management.

Credits and Program Length

The degree requires 36 credits. Harrisburg University’s Executive Format materials describe its master’s programs as full-time, 2-year programs completed across 6 semesters, with students typically taking two three-credit courses each semester.

Tuition and Cost

For the 2026-2027 academic year, Harrisburg University lists graduate tuition at $955 per credit. At 36 credits, estimated base tuition is $34,380. This calculation does not include any program or delivery fees that may apply.

Admissions

Harrisburg University’s graduate admissions requirements include a resume, final official undergraduate transcripts, and a personal goal statement. The university does not require the GRE or GMAT for master’s applicants. Harrisburg lists no fixed application deadline for master’s programs and recommends applying at least two months before the start of a semester.

International applicants have additional requirements, including English proficiency documentation when required, passport and immigration materials, transcript evaluation in applicable cases, and proof of financial support. Harrisburg University lists separate international graduate admissions requirements for F-1 students.

Machine Learning and AI Focus

This program has a clear AI connection. Harrisburg University describes AI as part of the program’s technical foundation and specifically includes predictive AI, generative AI, machine learning, deep learning, big data, and AI-enabled business systems. Students can select the Artificial Intelligence for Business concentration, which focuses on AI principles, machine learning, big data, business intelligence, and decision support systems.

The degree is best viewed as an applied AI and enterprise systems program rather than a research-heavy machine learning master’s. It suits students who want to use AI inside business systems, digital transformation projects, enterprise architecture, analytics, or technology management.

Online, Hybrid, or Campus Format

Harrisburg University delivers this program through its Executive Format. The university describes the format as mostly online, with required in-person weekend instruction. Beginning in 2027, Executive Format graduate students complete one on-campus weekend per semester, plus online coursework and live virtual instruction. Because in-person attendance is required, this profile classifies the program as Mostly Online rather than fully online.

Concentration and Capstone

Students select a concentration after admission. The strongest fit for this site is the Artificial Intelligence for Business concentration. The 36-credit degree also includes 6 credits of experiential capstone coursework, giving students a structured way to apply the program’s systems, management, analytics, and AI content.

Who Is This Program Best For?

This program is a good fit for working professionals who want to combine AI and machine learning with enterprise systems, business strategy, architecture, and technology management. It may be especially useful for students interested in applied AI leadership, intelligent business systems, digital transformation, business analytics, systems engineering, or technical management roles.

Bottom Line

Harrisburg University’s MS in Information Systems Engineering & Management fits MastersInMachineLearning.org because AI and machine learning are built into the program and supported by a dedicated AI for Business concentration. The program requires 36 credits, takes about 2 years in the Executive Format, and has estimated base tuition of about $34,380. It is a strong option for students who want applied AI skills in an enterprise and management setting rather than a narrowly focused machine learning research degree.