Course Reviews for
Harrisburg University
8/10
average rating
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5 /10
Major: M.S. Learning Technologies and Media Systems
LTMS 510 Learning Technologies and Solutions
Instructor: Brian Merrill
Delivery: onsite
5 /10
The class does not require full participation, but you need to interact sometimes. The teacher gives assignments that do not fully prepare you for. And is a very slow grader. Not difficult, but it can be hectic.
08/01/2026
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10 /10
Major: M.S. Project Management
PMGT 510 Principles of Project Management
Instructor: Anjali Barnick
Delivery: onsite
10 /10
I completed my first semester at HU for the MS in Project Management with Prof. Barnick, who taught us PMGT 510 (Principles of Project Management) and PMGT 511 (Large Language Models in Project Management). The presentation slides she curated for each topic were incredibly helpful; she'd walk us through a concept in its entirety, along with exactly what each assignment required and how to shape our work to meet her expectations. She's not a tough grader at all, but she places strong emphasis on conceptual clarity and on critical and analytical thinking. You get a lot of freedom to challenge ideas in her class and to express yourself confidently and freely. What also set her apart was her support outside of class: she answers messages, clears doubts, and responds to questions patiently, and she always points you to extra resources whenever you want to go deeper on a topic. She cleared up every "what if" I walked in with, and that patience made a genuine difference for someone starting from scratch. She never reuses an example twice. Her illustrations come from across her teaching career, her project management career, her real estate experience, and her everyday household and societal observations. She's remarkably well-informed and puts real effort into keeping every class interactive rather than monotonous. She's also super flexible and appreciates being informed ahead of time. Above all, she's chill, friendly, and approachable, and her energy is contagious. By the final week, our class refused to split up into different courses, and we all enrolled in the same ones just to carry the spirit she'd created into the next professor's class. I would recommend Prof. Barnick without hesitation to anyone who values conceptual clarity, real-world examples woven back into the coursework, meaningful group activities, and a class that interacts with and challenges one another. She's patient, insightful, engaging, and never mechanical or boring. She made grad school genuinely fun.
07/29/2026
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9 /10
Major: M.S. Analytics
ANLY 502 Analytical Methods I
Instructor: Brian Myers
Delivery: online
9 /10
Be prepared for a heavy amount of assignments. However, the course has a lot of useful information and materials for your career. Professor is easy to reach out and fast to response. Overall, it’s still a great course, bur be prepared for the workload.
07/28/2026
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8 /10
Major: M.S. Learning Technologies and Media Systems
LTMS 500 Macro Instructional Design
Instructor: Mark Moore
Delivery: online
8 /10
The teacher was very nice and calm, and always took the time to explain everything clearly. The assignments were straightforward and easy to follow. My only critique is that grading took a while, which made it harder to correct work using the feedback since so much time had passed by the time it came back.
07/27/2026
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7 /10
Major:
Instructor:
Delivery: onsite
7 /10
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07/23/2026
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8 /10
Major: M.S. Analytics
ANLY 512 Data Visualization
Instructor: Alan T. Hitch
Delivery: onsite
8 /10
This course is a practical R-based data visualization class. The main reference is R for Data Science from 2017, which is a very useful book and worth reading; it is available through O’Reilly. Assignments are usually due every 2–3 weeks and are completed in R Markdown. For submission, you mainly need to upload the HTML file generated from the RMD file, rather than submitting through RPubs. There are no exams in this course. The final project requires you to collect data about yourself and create visualizations based on that data. At least one visualization in the final project needs to be interactive. Overall, the course is manageable if you are comfortable learning R and keeping up with the assignments.
06/26/2026
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10 /10
Major: M.S. Project Management
PMGT 574: Lean Thinking
Instructor: Matt Christen
Delivery: onsite
10 /10
The professor knows the subject well, demonstrates passion for it and for teaching in general. He is always open to ideas for him to keep improving the course and the learning atmosphere, in addition to the food and snacks he brings during in-person classes. One of the best professors I've take a course with at HU.
06/11/2026
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8 /10
Major: M.S. Project Management
PMGT 515: Business Analysis Fundamentals
Instructor: Anjali Barnick
Delivery: online
8 /10
Knowledgeable professor. She knows the concepts and uses videos to demonstrate them to make us think (sometimes twice). I also liked the in-class assignments, as they made a full use of the class meeting time and reduced the workflow after class.
06/11/2026
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8 /10
Major: M.S. Learning Technologies and Media Systems
LTMS 699 Applied Project in LTMS
Instructor: Sa Liu
Delivery: onsite
8 /10
LTMS 699 has the same code as HCID 699, it's the last course from the master's, and I took it with Sa Liu. The professor was accommodating and made us present on progress, mostly every class, but even if sometimes you get behind, she gives options to catch up. Very nice class.
06/01/2026
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8 /10
Major: M.S. Analytics
ANLY 500 Analytics I: Principles and Applications
Instructor: Layden Scott
Delivery: online
8 /10
Very easy class, the professor speaks for a while, do pauses to check and does not require participation. Most of the assignments can be find online.
05/27/2026
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