Marquette University Graduate Program Reviews

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95%
of students recommend
(4.09 out of 5.0)
School rating based on 129 respondents

School Highlights

Most
Affordable
Regionally
Accredited
Non
Profit
High
Grad. Rate
Has Online
Degrees
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School Ratings

Quality of Instruction
Student Financial Services
Satisfaction With Degree
Earning Potential
Prepared for Career

School Information

  • Website: Visit College Website
  • School Accreditation: NCA HLC, + 2 more
  • Programmatic Accreditation: ABA, + 7 more
  • Campus Setting: City: Large
  • Student Population: 11,491 (8,334 undergrad)
  • Student to Faculty Ratio: 15 to 1
  • Graduate Attendance Status: 33% part-time, 67% full-time
  • Annual Tuition: $18,900
Source: NCES

Student & Graduate Reviews

3.08 out of 5.0
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Degree: Nursing
Graduation Year: 2016

While the Marquette Master's in Nursing program is highly competitive and renowned, it is also costly an in a urban setting. The pro's of the school far outweigh the cons in terms of education and networking / career opportunities. However a private institution in the midst of a socioeconomically diverse city can prove to be hazardous at times. The nursing program itself is wonderful, with a newly renovated simulation lab and small class sizes; this is namely why I chose the program and am seeking financial aid.
4.42 out of 5.0
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Degree: Physical Therapy
Graduation Year: 2019

There is a great opportunity to learn here at Marquette. The workload might be a little heavy but at the end you feel that you are a head of a lot of people. Besides that you collaborate with other labs which creates a good opportunity to learn and think differently.
3.17 out of 5.0
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Degree: Nursing
Graduation Year: 2017

Pros: Flexible scheduling of courses for an easy work-life balance, small class size (<20 students), great clinical placement (over 10 hospitals), phD professors, thorough online classes, fantastic simulation lab for skills and assessment. Cons: bad neighborhood, expensive (1,100 per credit)
4.17 out of 5.0
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Degree: Computer Science
Graduation Year: 2016

Currently, my research interest lies in the general area of human activity recognition systems, especially in the area of smartphone-based fall prediction. My area of expertise involves electronic systems and basic activity problems, specifically smartphone communication systems. My current research efforts are focused on smartphone-based human gait recognition issues; these include different biomechanical models for gait abnormality, calculating the risk of falling, analyzing risk using a foot pressure sensor, etc. This type of research provides a unique opportunity to use my knowledge of theoretical science in many practical problems. Moreover, I took many communication engineering and computer engineering courses during my undergraduate and master’s studies. Also during my eight semesters’ study in the Computational Sciences program, I took: smartphone programming, mobile health (mHealth), Chaos/Nonlinear Signal Process, gait analysis, sensors data processing and analysis, signal processing and conditioning, fall detection and prevention, with six core courses. These provide a solid foundation to do practical research in mobile communication networks. In the future, I would like to do both theoretical and experimental research in the above mentioned areas. I would like to propose a novel, smartphone-based fall prediction system for fall risk assessment by analyzing the gyroscope, accelerometer, and GPS data from a smartphone and data from foot pressure sensors to prevent the risk of falling. Also I with my faculty advisor, am developing a mathematical model for the assessment of combined foot pressure sensor and smartphone sensor effects, which will play an important role in preventing the risk of falling. While existing approaches are capable of detecting whether a subject is falling, our proposed novel system predicts a fall and attempts to intervene or prevent the fall by generating an alert message which goes to caregivers, loved ones, and the person using the system. As smartphones become increasingly more powerful and sensor-rich, there is great potential to use non-intrusive technology to improve users’ quality of life. We propose a novel system to detect and alert the user to gait abnormalities that could result in a fall with location information using gyroscope, accelerometer and GPS combined with foot pressure sensors. We already have few experimental results that indicate good accuracy in classifying abnormal gaits.
4.33 out of 5.0
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Degree: Communications (Speech Pathology)
Graduation Year: 2017

I love the support from the staff and their willingness to help! The con is it is expensive.
3.67 out of 5.0
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Degree: Communications (Speech Pathology)
Graduation Year: 2017

I love Marquette, but very expensive. Professors are awesome and the clinic is very good.
3.58 out of 5.0
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Degree: School Counseling
Graduation Year: 2017

A pro of the graduate program is the 18 month course length. Another pro would be the opportunity to work with elementary grade students, middle school students, and high school students. A con of the graduate program would be that lack of financial aid provided.
3.75 out of 5.0
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Degree: Physical Therapy
Graduation Year: 2018

The Marquette Physical therapy program offers many great opportunities.
4.25 out of 5.0
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Degree: Liberal Studies
Graduation Year: 2015

Pros - Great faculty and staff support - Focuses on theory to practice - Opportunities for hands-on experiences - Small cohort; get to know all students and faculty - Prepares students for professional endeavors Cons - Not well known - Continuing to grow and develop; may seem small at first
4.92 out of 5.0
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Degree: Computer Science
Graduation Year: 2017

Marquette is a great university with strong support for its graduate students.
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