Department of Criminology and Criminal Justice
Area Certificate in Criminology and Criminal Justice
Students who complete departmental requirements for a major in criminal justice and earn either a B.S. or B.F.A. degree in the College of Arts and Sciences or a bachelor's degree from another Indiana University Bloomington school are eligible for the certificate.
Requirements
The certificate requires at least 24 credit hours, including the requirements listed below.
- Introductory course. One (1) course:
- CJUS-P 100 Introduction to Criminal Justice
CJUS-P 100 Introduction to Criminal Justice
- Credits
- 3
- Prerequisites
- None
- Description
- Historical and philosophical background, structure, functions, and operation of the criminal justice system in the United States. Introduction to and principles of formal behavior control devices.
- Spring 2027CASE SHcourseFall 2026CASE SHcourse
- Theories of Crime and Deviance. One (1) course:
- CJUS-P 200 Theories of Crime and Deviance
CJUS-P 200 Theories of Crime and Deviance
- Credits
- 3
- Prerequisites
- None
- Description
- Critical examination of biological, psychological, and sociological theories of crime and deviance. Examination of individual, group, and societal reactions to norm-violating behaviors.
- Spring 2027CASE SHcourseFall 2026CASE SHcourse
- The Nature of Inquiry or Statistics. One (1) course:
- CJUS-K 300 Techniques of Data Analysis
- CJUS-P 290 The Nature of Inquiry
- CJUS-P 299 Research Applications in Criminology and Criminal Justice
- ANTH-A 306 Anthropological Statistics
- ECON-E 370 Statistical Analysis for Business and Economics
- ECON-E 371 Introduction to Applied Econometrics
- ECON-S 370 Statistical Analysis for Business and Economics: Honors
- ECON-S 371 Introduction to Applied Econometrics: Honors
- MATH-M 365 Introduction to Probability and Statistics
- POLS-Y 395 Quantitative Political Analysis
- PSY-K 300 Statistical Techniques
- PSY-K 310 Statistical Techniques
- SOC-S 371 Statistics in Sociology
- STAT-K 310 Statistical Techniques
- STAT-S 300 Introduction to Applied Statistical Methods
- STAT-S 303 Applied Statistical Methods for the Life Sciences
CJUS-K 300 Techniques of Data Analysis
- Credits
- 3
- Prerequisites
- None
- Notes
- R: To be successful in this course, students should have an understanding of basic algebra.
- Description
- CJUS-K 300 covers the properties of single variables, the measurement of association between pairs of variables, and statistical inference. Additional topics, such as the analyses of qualitative and aggregated data, address specific criminal justice concerns.
- Repeatability
- Credit given for only one of ANTH-A 306, CJUS-K 300, ECON-E 370, ECON-S 370, MATH-K 300, MATH-K 310, POLS-Y 395, PSY-K 300, PSY-K 310, SOC-S 371, SPEA-K 300, SPH-Q 381, STAT-K 310, STAT-S 300, STAT-S 301, or STAT-S 303.
- Spring 2027CASE NMcourseFall 2026CASE NMcourse
CJUS-P 290 The Nature of Inquiry
- Credits
- 3
- Prerequisites
- None
- Description
- Introduction to research methodology, nature of scientific inquiry, research design, basic research methods, and presentation of research findings.
- Spring 2027CASE SHcourseFall 2026CASE SHcourse
CJUS-P 299 Research Applications in Criminology and Criminal Justice
- Credits
- 3
- Prerequisites
- None
- Description
- Introduction to research methodology, nature of scientific inquiry, research design, basic research methods, and presentation of research findings through application to a specific topic in criminology and criminal justice.
ANTH-A 306 Anthropological Statistics
- Credits
- 3
- Prerequisites
- None
- Description
- Fundamentals of univariate and bivariate statistics, construction and interpretation of graphs, and computer-assisted data analysis. Both statistical methodology and theory will be emphasized as well as computer literacy. Students will examine the primary literature in all branches of anthropology to familiarize themselves with the role of statistics in anthropological research.
- Repeatability
- Credit given for only one of ANTH-A 306, CJUS-K 300, ECON-E 370, ECON-S 370, MATH-K 300, MATH-K 310, POLS-Y 395, PSY-K 300, PSY-K 310, SOC-S 371, SPEA-K 300, SPH-Q 381, STAT-K 310, STAT-S 300, STAT-S 301, or STAT-S 303.
- Spring 2027CASE NMcourseFall 2026CASE NMcourse
ECON-E 370 Statistical Analysis for Business and Economics
- Credits
- 3
- Prerequisites
- MATH-B 110, MATH-M 118 , MATH-S 118, or MATH-V 118
- Notes
- R: ECON-E 252 or ECON-B 252 and MATH-M 119
- Description
- Lectures emphasize the use of basic probability concepts and statistical theory in the estimation and testing of single parameter and multivariate relationships. In computer labs, using Microsoft Excel, each student calculates descriptive statistics, probabilities, and least squares regression coefficients in situations based on current business and economic events.
- Repeatability
- Credit given for only one of ANTH-A 306, CJUS-K 300, ECON-E 370, ECON-S 370, MATH-K 300, MATH-K 310, POLS-Y 395, PSY-K 300, PSY-K 310, SOC-S 371, SPEA-K 300, SPH-Q 381, STAT-K 310, STAT-S 300, STAT-S 301, or STAT-S 303.
- Spring 2027CASE NMcourseFall 2026CASE NMcourse
ECON-E 371 Introduction to Applied Econometrics
- Credits
- 3
- Prerequisites
- ECON-E 251 or ECON-B 251; and ECON-E 370 or ECON-S 370; and MATH-J 113, MATH-M 119, MATH-V 119, MATH-M 211, or MATH-S 211
- Description
- An introduction to the theory and application of least-squares regression in empirical economics. Review of bivariate and multivariate regression models, hypothesis testing, and confidence intervals. Special topics include model specification, multicollinearity, heteroscedasticity, dummy variables, interactions, and various sources of estimation bias. Students will learn to work with both cross-sectional and time-series datasets, and analyze the data using an econometrics software package.
- Repeatability
- Credit given for only one of ECON-E 371 or ECON-S 371.
ECON-S 370 Statistical Analysis for Business and Economics: Honors
- Credits
- 3
- Prerequisites
- MATH-B 110, MATH-M 118, MATH-S 118, or MATH-V 118; and, minimum overall GPA requirement of 3.35
- Notes
- R: MATH-M 119 and ECON-E 252 or ECON-B 252
- Description
- Honors course. Designed for students of superior ability. Covers same core material as ECON-E 370.
- Repeatability
- Credit given for only one of ANTH-A 306, CJUS-K 300, ECON-E 370, ECON-S 370, MATH-K 300, MATH-K 310, POLS-Y 395, PSY-K 300, PSY-K 310, SOC-S 371, SPEA-K 300, SPH-Q 381, STAT-K 310, STAT-S 300, STAT-S 301, or STAT-S 303.
- Spring 2027CASE NMcourseFall 2026CASE NMcourse
ECON-S 371 Introduction to Applied Econometrics: Honors
- Credits
- 3
- Prerequisites
- ECON-E 251 or ECON-B 251; and ECON-E 370 or ECON-S 370; and MATH-J 113, MATH-M 119, MATH-V 119, MATH-M 211, or MATH-S 211; and Hutton Honors Student
- Description
- Designed for students of superior ability. Covers same core material as ECON-E 371 and substitutes for ECON-E 371 as a prerequisite for other courses.
- Repeatability
- Credit given for only one of ECON-S 371 or ECON-E 371.
MATH-M 365 Introduction to Probability and Statistics
- Credits
- 3
- Prerequisites
- MATH-M 212, MATH-M 213, or MATH-S 212
- Description
- Elementary concepts of probability and statistics. Combinatorics, conditional probability, independence, random variables, discrete and continuous distributions, moments. Statistical inference, point estimation, confidence intervals, test of hypotheses. Applications to social, behavioral, and natural sciences.
- Repeatability
- Credit given for only one of MATH-M 360 or MATH-M 365.
- Spring 2027CASE NMcourseFall 2026CASE NMcourse
POLS-Y 395 Quantitative Political Analysis
- Credits
- 3
- Prerequisites
- None
- Description
- Introduction to methods and statistics used in political inquiry, including measures of central tendency and dispersion, probability, sampling, statistical inference and hypothesis testing, measures of association, analysis of variance, and regression.
- Repeatability
- Credit given for only one of ANTH-A 306, CJUS-K 300, ECON-E 370, ECON-S 370, MATH-K 300, MATH-K 310, POLS-Y 395, PSY-K 300, PSY-K 310, SOC-S 371, SPEA-K 300, SPH-Q 381, STAT-K 310, STAT-S 300, STAT-S 301, or STAT-S 303.
- Spring 2027CASE NMcourseFall 2026CASE NMcourse
PSY-K 300 Statistical Techniques
- Credits
- 3
- Prerequisites
- One of MATH-M 106, MATH-M 118, MATH-M 119, MATH-M 211, MATH-M 212, MATH-S 211, MATH-S 212, MATH-V 118, or, MATH-V 119
- Description
- Introduction to statistics; nature of statistical data; ordering and manipulation of data; measures of central tendency and dispersion; elementary probability. Concepts of statistical inference and decision: estimation and hypothesis testing. Special topics include regression and correlation, analysis of variance, non-parametric methods.
- Repeatability
- Credit given for only one of ANTH-A 306, CJUS-K 300, ECON-E 370, ECON-S 370, MATH-K 300, MATH-K 310, POLS-Y 395, PSY-K 300, PSY-K 310, SOC-S 371, SPEA-K 300, SPH-Q 381, STAT-K 310, STAT-S 300, STAT-S 301, or STAT-S 303.
- Spring 2027CASE NMcourseFall 2026CASE NMcourse
PSY-K 310 Statistical Techniques
- Credits
- 3
- Prerequisites
- One of MATH-M 106, MATH-M 118, MATH-M 119, MATH-M 211, MATH-M 212, MATH-S 211, MATH-S 212, MATH-V 118, or, MATH-V 119
- Description
- Introduction to probability and statistics; elementary probability theory, conditional probability, independence, random variables, discrete and continuous probability distributions, measures of central tendency and dispersion. Covers concepts of statistical inference and decision; estimation and hypothesis testing; Bayesian inference; and statistical decision theory. Special topics include regression and correlation, time series, analysis of variance, non-parametric methods.
- Repeatability
- Credit given for only one of ANTH-A 306, CJUS-K 300, ECON-E 370, ECON-S 370, MATH-K 300, MATH-K 310, POLS-Y 395, PSY-K 300, PSY-K 310, SOC-S 371, SPEA-K 300, SPH-Q 381, STAT-K 310, STAT-S 300, STAT-S 301, or STAT-S 303.
- Spring 2027CASE NMcourseFall 2026CASE NMcourse
SOC-S 371 Statistics in Sociology
- Credits
- 3
- Prerequisites
- None
- Description
- Introduces the logic of statistical inference. Students will learn how to use sample data to reach conclusions about a population of interest by calculating confidence intervals and significance tests. Estimating the effects of multiple independent variables using cross-tabulations and/or regression.
- Repeatability
- Credit given for only one of ANTH-A 306, CJUS-K 300, ECON-E 370, ECON-S 370, MATH-K 300, MATH-K 310, POLS-Y 395, PSY-K 300, PSY-K 310, SOC-S 371, SPEA-K 300, SPH-Q 381, STAT-K 310, STAT-S 300, STAT-S 301, or STAT-S 303.
- Spring 2027CASE NMcourseFall 2026CASE NMcourse
STAT-K 310 Statistical Techniques
- Credits
- 3
- Prerequisites
- MATH-M 119 or equivalent
- Description
- Introduction to probability and statistics. Elementary probability theory, conditional probability, independence, random variables, discrete and continuous probability distributions, measures of central tendency and dispersion. Concepts of statistical inference and decision: estimation, hypothesis testing, Bayesian inference, statistical decision theory. Special topics discussed may include regression and correlation, time series, analysis of variance, nonparametric methods.
- Repeatability
- Credit given for only one of ANTH-A 306, CJUS-K 300, ECON-E 370, ECON-S 370, MATH-K 300, MATH-K 310, POLS-Y 395, PSY-K 300, PSY-K 310, SOC-S 371, SPEA-K 300, SPH-Q 381, STAT-K 310, STAT-S 300, STAT-S 301, or STAT-S 303.
- Spring 2027CASE NMcourseFall 2026CASE NMcourse
STAT-S 300 Introduction to Applied Statistical Methods
- Credits
- 4
- Prerequisites
- None
- Notes
- R: Mastery of high school algebra; or MATH-M 014. Lecture and laboratory
- Description
- Introduction to methods for analyzing quantitative data. Graphical and numerical descriptions of data, probability models of data, inference about populations from random samples. Regression and analysis of variance.
- Repeatability
- Credit given for only one of ANTH-A 306, CJUS-K 300, ECON-E 370, ECON-S 370, MATH-K 300, MATH-K 310, POLS-Y 395, PSY-K 300, PSY-K 310, SOC-S 371, SPEA-K 300, SPH-Q 381, STAT-K 310, STAT-S 300, STAT-S 301, or STAT-S 303.
- Spring 2027CASE NMcourseFall 2026CASE NMcourse
STAT-S 303 Applied Statistical Methods for the Life Sciences
- Credits
- 3
- Prerequisites
- None
- Notes
- R: Mastery of high school algebra; or MATH-M 014
- Description
- Introduction to methods for analyzing data arising in the life sciences, designed for biology, human biology, and pre-medical students. Graphical and numerical descriptions of data, probability models, fundamental principles of estimation and hypothesis testing, inferences about means, correlation, linear regression.
- Repeatability
- Credit given for only one of ANTH-A 306, CJUS-K 300, ECON-E 370, ECON-S 370, MATH-K 300, MATH-K 310, POLS-Y 395, PSY-K 300, PSY-K 310, SOC-S 371, SPEA-K 300, SPH-Q 381, STAT-K 310, STAT-S 300, STAT-S 301, or STAT-S 303.
- Spring 2027CASE NMcourseFall 2026CASE NMcourse
- 300–399 Level Elective. One (1) course:
- Any CJUS-P 300–399
- Any CJUS-X 300–399
- 400–499 Level Elective. One (1) course:
- Any CJUS-P 400–499 except CJUS-P 481
- Any CJUS-X 400–499
- Criminology and Criminal Justice Electives. Three (3) additional courses:
- CJUS-P 245 Social Justice and the Justice System
- CJUS-P 250 Issues in Criminology and Criminal Justice
- Any CJUS-P 300–399
- Any CJUS-P 400–499
- Any CJUS-X 300–399
- Any CJUS-X 400–499
CJUS-P 245 Social Justice and the Justice System
- Credits
- 3
- Prerequisites
- None
- Description
- Overview of issues related to diversity and how it impacts and relates to the criminal justice system. Provides a criminological perspective on multiculturalism, social inequality, and discrimination in the criminal justice system. Covers class, race, ethnicity, sex, gender, with an emphasis on the analysis of social justice.
- Spring 2027CASE DUScourseFall 2026CASE DUScourse
- Spring 2027CASE SHcourseFall 2026CASE SHcourse
CJUS-P 250 Issues in Criminology and Criminal Justice
- Credits
- 3
- Prerequisites
- None
- Description
- Thorough review and analysis of issues currently facing the criminal justice system. Topics vary each semester: see listing in the online Schedule of Classes.
- Repeatability
- May be repeated with different topics for a maximum of 6 credit hours.
- Spring 2027CASE SHcourseFall 2026CASE SHcourse
- CJUS Residency. At least 21 credit hours must be taken within the Department of Criminal Justice.
- Certificate Hours and Minimum Grade Requirements.
- Certificate Residency. At least 9 credit hours in the certificate must be completed in courses taken through the Indiana University Bloomington campus or an IU-administered or IU co-sponsored Overseas Study program.
- Certificate Upper Division Courses. At least 9 credit hours in the certificate must be completed at the 300-499 level.
- Minimum Grade. A grade of C- or higher is required for a course to count toward a requirement in the certificate.
Certificate Area Courses
-
Unless otherwise noted below, the following courses are considered in the academic program and will count toward academic program requirements as appropriate:
- Any course at the 100–499 level with the
CJUSsubject area prefix—as well as any other subject areas that are deemed functionally equivalent - Any course contained on the course lists for the academic program requirements at the time the course is taken—as well as any other courses that are deemed functionally equivalent—except for those listed only under Addenda Requirements
- Any course directed to a non-Addenda requirement through an approved exception
- Any course at the 100–499 level with the
Exclusions
The following courses cannot be applied toward certificate requirements:
- CJUS-P 150 Introductory Topics in Criminology and Criminal Justice
CJUS-P 150 Introductory Topics in Criminology and Criminal Justice
- Credits
- 3
- Prerequisites
- None
- Notes
- Credit will not count toward requirements of the major or minor
- Description
- Introduction to a specific topic related to crime and justice. Topics vary each semester: see listing in the online Schedule of Classes.
- Repeatability
- May be repeated with different topics for a maximum of 6 credit hours.
- Spring 2027CASE SHcourseFall 2026CASE SHcourse
This program of study cannot be combined with the following:
- Major in Criminology and Criminal Justice (Bachelor of Arts) [CRIMCJUSBA]
- Minor in Criminology and Criminal Justice [CRIMCJUMIN]
- [Name unavailable] [CJUSTSBA]
Exceptions to and substitutions for certificate requirements may be made with the approval of the unit's Director of Undergraduate Studies, subject to final approval by the College of Arts and Sciences.