Fundamentals Crime Analysis

Course Language: English
 
Register Here-2025

Schedule

  • January 6-March 28, 2025 (SOLD OUT)
  • April 7-June 27, 2025
  • July 7-September 26, 2025
  • October 6-December 26, 2025

Please note that the 'Sold Out' label is manually updated and may not reflect current availability. For the most accurate information, refer to the registration form; if a class does not appear on the form, it is sold out. This class DOES sell out every quarter, so we recommend signing up early.

Description
 

The objective of this 12-week course is to expose students to a variety of analytical techniques utilized in law enforcement to describe and understand crime patterns, series, and trends as they occur. Throughout this course, students will examine concepts; theories, practices, data and analysis techniques associated with the field of crime analysis for law enforcement. Additional topics that will be covered include understanding criminal behavior, behavioral geography, linking crimes, forecasting, and predication. Throughout this class, we will use case studies to apply the knowledge. Students will be able to work a crime series from start to finish.

Required textbook: Crime Analysis with Crime Mapping. 5th Edition (2022) ISBN:978-1071831403 (Note: If you already own the 4th Edition (2017) ISBN: 978-1-5063-3103-4, you may use that version of the book, however, if you're buying one the instructor requests that you please purchase the 5th Edition.)

Format

This course is intended for brand new analysts or officers with little to no training, or executives charged with developing crime analysis programs, or self-taught journeyman analysts looking for formal training.

Students should expect a time commitment of 3-5 hours per week to gain a passing grade. The course will be graded as a pass/fail. This is not a self-paced course; we will advance to each new topic week as a group. Students can login anytime to work as needed, there are no live sessions. Participation throughout the course is required for a passing grade. As a rule, bulk submissions of your work during the last week of class will not be accepted unless you have received prior authorization from the instructor. 

Invitations to the learning platform will be sent the weekend before class starts.

 

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