Master's in Criminal Justice Data Analytics

Attend a Virtual Information Session at Marquette University

Attend Our Information Session: October 24, 2023

Join us for an Information Session for our Criminal Justice Data Analytics Program. You will have an opportunity to meet with the Director of the Program and the Graduate Admissions Recruiter as we discuss program highlights, curriculum and the application process. There will be plenty of time for Q & A, so have your questions ready.

The Information Session will be held on Tuesday October 24th, at 6:00pm CST. Please RSVP at the link below.  We look forward to seeing you there!

RSVP for this session


Attend a Virtual Information Session at Marquette University

Attend Our Meet & Greet: November 16, 2023

Join us for a Meet & Greet for our Criminal Justice Data Analytics Program. Meet & Greet visits include a walking tour of campus followed by a meeting with the Faculty Program Director and the Graduate Admissions Counselor in a conversational, small group setting to discuss program highlights, curriculum and the application process. Space is limited.

The Meet & Greet will be held on Thursday, November 16, 2023 at 1:00pm CST. Please RSVP at the link below.  We look forward to seeing you there!

RSVP for this session

Prepare for a career as a crime analyst

Evidence-based decision-making that is informed by consideration of data is a key feature of the modern criminal justice system. This program will prepare students to become data analysts who are able to consider the full range of ethical and social implications of these decisions.

This program offers a unique perspective with its focus on ethical considerations of managing and analyzing large data sets to make evidence-driven decisions in the field of criminal justice. This program is timely because debates about how, when and whether to use predictive models and algorithms for criminal justice decisions have not been resolved. Possessing an understanding of the ethical and social implications of these debates will better prepare Marquette University-trained data analysts to engage in these debates and questions while working in the field. 

Flexible. Full-Time or Part-Time. Online. Accelerated. 

The master's in criminal justice data analytics is offered with flexible options, so that you can complete the courses in a way that best fits your life. Full-time and part-time options are available, and some courses are offered online. Undergraduate students have an opportunity to enter into our Accelerated Degree Program during their junior year and earn their bachelor's and master's degree in a total of five years. 

 

31

Credit Hours

2

Years to Complete*

PO

Part-time, Online Options**

 

 

 

 

 

*Full-time completed in 2 years. Part-time completed in 3 years. **Hybrid program with online and on-campus courses.

Expand all   |   Collapse all  

Additional Program Highlights

An interdisciplinary program incorporating criminology and data science 

The 30-credit interdisciplinary program is designed to use Marquette University’s faculty expertise in the criminology and law studies and data science programs. This union has resulted in an innovative and pioneering interdisciplinary graduate program that prepares graduates to be successful and impactful as criminal justice data analysts.  

Access to premiere software and tools

Students have access to a number of proprietary resources and tools including the top geo-spatial analysis and mapping software, ArcGIS, the most current STATA and SPSS statistical packages, and data from the Marquette Law School Poll.

Work with expert faculty in criminology and data science

Students immersed in this program will have consistent interaction with and learn from criminology and law studies and data science faculty. Select the disciplines below to learn more about the interdisciplinary faculty behind this exciting new graduate program.  

Learning Outcomes

  • Identify crime analysis opportunities that can be ethically addressed through an understanding of crime, criminal offending, the operations of criminal justice organizations and the U.S. criminal justice system
  • Design and implement strategies for analyzing crime data using appropriate data sets and analytical methods
  • Analyze crime data to create actionable information, and use it to establish priorities, make decisions and solve problems aligning with the ethics, needs and values of individuals, communities and stakeholders
  • Display and explain the results of criminal justice data analytics projects using effective written, visual, and verbal tools and techniques
  • Use advanced data-processing tools incorporating regulatory, data governance, master data management, data profiling, parallel and distributed processing best practices

Career Opportunities

The master of science in criminal justice data analytics program will inform planning, decision-making and problem-solving in criminal justice agencies, including police departments, departments of corrections, courts and district attorneys’ offices, as well as in nonprofit agencies whose interests revolve around public safety. 

Related news

Dr. Darren Wheelock honored with Teaching Excellence Award 

Director of Data Science graduate program receives NSF Grant


Take the next step towards your future

I'm ready to apply

  • Contact Us
  • Application Information
  • Criminology and Data Science Faculty

Ready to learn more about Marquette's Master's in Criminal Justice Data Analytics? 

Speak with a Recruiter

Tim Carter

(414) 288-7139

tim.carter@marquette.edu


Email the Graduate School

*required field

Loading...

Application Deadline

This program has rolling admission, which means you may apply any time before the following dates:

  • Fall term admissions – August 1 (June 1 for international applicants and February 15 for financial aid and priority consideration)
  • Spring term admissions – November 15

Your application must be complete and all required documentation must be received in the Graduate School by the above date.


 

Application Requirements

1Upon admission, final official transcripts from all previously attended colleges/universities, with certified English translations if original language is not English, must be submitted to the Graduate School within the first five weeks of the term of admission or a hold preventing registration for future terms will be placed on the student’s record. 

2Upon admission, an official course-by-course transcript/academic record evaluation must be submitted to the Graduate School within the first five weeks of the term of admission or a hold preventing registration for future terms will be placed on the student’s record. 

Work with expert faculty in criminology and data science

Students immersed in this program will have access and consistent interaction with faculty from both criminal law and data science departments. Select the disciplines below to learn more about the interdisciplinary faculty behind this exciting graduate program.  

Criminology and Law Studies Faculty

Dr. Darren Wheelock

2018 Teacher of the Year

Research interests

  • Criminal Punishment and Social Control
  • Racial and Ethnic Inequality
  • Punitive Attitudes
  • Racial Attitudes
  • Prisoner Reentry
  • Collateral Consequences

Teaching interests

  • Introduction to Criminology
  • Race, Crime and Punishment
  • Prisoner Reentry
  • Collateral Consequences

See Dr. Darren Wheelock's publications and contact information


 

Dr. Anya Degenshein

Research Interests

  • Law and Society
  • Criminal Justice
  • Punishment
  • Surveillance and Digital Technologies
  • Cultural Sociology
  • Discourse and Narrative
  • Social Theory
  • Racial and Economic Inequalities

Teaching Interests

  • Criminal Procedure
  • Criminological Theory
  • Sociology of Terrorism
  • Surveillance Studies

See Dr. Degenshein's publications and contact information


 

Dr. Aleksandra Snowden

Research interests

  • Crime mapping, crime analysis, GIS
  • Neighborhood characteristics, alcohol availability, crimes, violence and injury
  • Spatial analytical methods, spatial regression

Teaching interests

  • Introduction to Criminology
  • Neighborhoods and Crime
  • Crime mapping, crime analysis, GIS

See Dr. Aleksandra Snowden's publications and contact information


Dr. Meghan Stroshine

Research interests

  • Policing (use of force, injuries, hazards of police work, decision making and behavior)
  • Domestic Violence (criminal justice system responses)

Teaching interests

  • Policing
  • Domestic Violence
  • Women and Crime

See. Dr. Meghan Stroshine's publications and contact information