Adjunct Faculty - Criminal Justice (Graduate) - Advanced Quantitative Analysis and Crime Causation

The Chronicle Of Higher Education, Inc.; Aurora (IL); On-site; USD 1,288,056 - 1,770,216; Part time

Job summary

Aurora University seeks talented adjunct faculty to teach advanced graduate-level courses in Crime Causation Theory and Applied Data Analysis. This is an in-person, on-ground position, requiring availability Mondays and Wednesdays 8 AM–10:30 AM for the Fall 2026 semester.

We value experience teaching research and analytical courses, with emphasis on quantitative methods and social statistics. Candidates should be prepared to help students present findings in professional agency reports.

Qualifications

• Experience teaching research and analytical courses; preference for graduate-level research and quantitative methods.
• Proficiency in social statistics and the scientific method; ability to guide high-level data analysis.
• Experience evaluating policy implications from criminological theory.
• Ability to train students in professional data presentation and agency reporting.

Responsibilities

• Teach graduate-level courses in Crime Causation Theory and Applied Data Analysis.
• Facilitate in-depth examination of theories, historical contexts, and policy applications.
• Guide students in research design, measurement, and social statistics; prepare professional reports.

Skills

Instructional experience

Quantitative methods

Social statistics

Policy analysis

Professional data presentation

Education

Terminal degree in criminal justice or related field

Master's degree or JD required

Job description

Position Purpose

Aurora University seeks talented adjunct faculty who are passionate about teaching and learning. Adjunct faculty are qualified part‑time instructors offered teaching opportunities based on course demand and staffing.

Essential Job Functions

We are seeking expert adjunct faculty members for the 2026–2027 academic year to teach advanced graduate‑level courses in Crime Causation Theory and Applied Data Analysis. This is an in‑person, on‑ground position, requiring availability Mondays and Wednesdays 8 AM–10:30 AM for the Fall 2026 semester.

Course Responsibilities

• Crime Causation Theory: Facilitate an in‑depth examination of classical and contemporary theories influencing criminal justice policy. Focus on theory evaluation, historical contexts, and the application of these theories within justice agencies.
• Applied Data Analysis: Teach methods of scientific inquiry, including research design, measurement, and social statistics. Instructors will guide graduate students in using analytic tools and data sources to critique scholarly research and present findings in professional agency reports.

Necessary Experience & Qualifications

• Instructional Requirements: Experience teaching research and analytical courses is a requirement. Preference will be given to candidates with prior experience teaching graduate‑level research and analysis with a heavy emphasis on quantitative methods.
• Analytical Expertise: Proficiency in social statistics and the scientific method is essential. Candidates should be capable of teaching students how to formulate complex research questions and engage in high‑level data analysis.
• Policy Insight: Experience in evaluating policy implications derived from criminological theory is necessary to help students understand how justice is practiced today.
• Communication Skills: Must be able to train students in professional data presentation and the creation of agency reports to prepare them for professional analysis opportunities.

Essential Job Requirements

A terminal degree in criminal justice or a related field is preferred; a master’s degree in a related field, or a law degree, is required. College‑level teaching experience is preferred. Daytime campus‑based availability (mornings) is required.

Skills

The anticipated pay rate for this position is $1,100 per credit hour. This compensation is subject to change at the sole discretion of the university, based on institutional needs.