Department of Criminal Justice
Bachelor of Arts in Criminal Justice
Students on Summer 2024, Fall 2024, or Spring 2025 requirements CJUSBA
Requirements
The major requires at least 30 credit hours, including the requirements listed below.
 Introductory Course. One (1) course:
 CJUSP 100 Introduction to Criminal Justice
CJUSP 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.
 Fall 2024CASE SHcourseSummer 2024CASE SHcourse
 Theories of Crime and Deviance. One (1) course:
 CJUSP 200 Theories of Crime and Deviance
CJUSP 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 normviolating behaviors.
 Fall 2024CASE SHcourseSummer 2024CASE SHcourse
 The Nature of Inquiry. One (1) course:
 CJUSP 290 The Nature of Inquiry
CJUSP 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.
 Fall 2024CASE SHcourseSummer 2024CASE SHcourse
 Statistics. One (1) course:
 CJUSK 300 Techniques of Data Analysis
 ANTHA 306 Anthropological Statistics
 ECONE 370 Statistical Analysis for Business and Economics
 ECONE 371 Introduction to Applied Econometrics
 ECONS 370 Statistical Analysis for Business and Economics: Honors
 ECONS 371 Introduction to Applied Econometrics: Honors
 MATHM 365 Introduction to Probability and Statistics
 POLSY 395 Quantitative Political Analysis
 PSYK 300 Statistical Techniques
 PSYK 310 Statistical Techniques
 SOCS 371 Statistics in Sociology
 STATK 310 Statistical Techniques
 STATS 300 Introduction to Applied Statistical Methods
 STATS 301 Applied Statistical Methods for Business
 STATS 303 Applied Statistical Methods for the Life Sciences
CJUSK 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
 CJUSK 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 ANTHA 306, CJUSK 300, ECONE 370, ECONS 370, MATHK 300, MATHK 310, POLSY 395, PSYK 300, PSYK 310, SOCS 371, SPEAK 300, SPHQ 381, STATK 310, STATS 300, STATS 301, or STATS 303.
 Fall 2024CASE NMcourseSummer 2024CASE NMcourse
ANTHA 306 Anthropological Statistics
 Credits
 3
 Prerequisites
 None
 Description
 Fundamentals of univariate and bivariate statistics, construction and interpretation of graphs, and computerassisted 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 ANTHA 306, CJUSK 300, ECONE 370, ECONS 370, MATHK 300, MATHK 310, POLSY 395, PSYK 300, PSYK 310, SOCS 371, SPEAK 300, SPHQ 381, STATK 310, STATS 300, STATS 301, or STATS 303.
 Fall 2024CASE NMcourseSummer 2024CASE NMcourse
ECONE 370 Statistical Analysis for Business and Economics
 Credits
 3
 Prerequisites
 MATHM 118, MATHS 118, or MATHV 118
 Notes
 R: ECONE 252 or ECONB 252 and MATHM 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 ANTHA 306, CJUSK 300, ECONE 370, ECONS 370, MATHK 300, MATHK 310, POLSY 395, PSYK 300, PSYK 310, SOCS 371, SPEAK 300, SPHQ 381, STATK 310, STATS 300, STATS 301, or STATS 303.
 Fall 2024CASE NMcourseSummer 2024CASE NMcourse
ECONE 371 Introduction to Applied Econometrics
 Credits
 3
 Prerequisites
 ECONE 251 or ECONB 251; and ECONE 370 or ECONS 370; and MATHJ 113, MATHM 119, MATHV 119, MATHM 211, or MATHS 211
 Description
 An introduction to the theory and application of leastsquares 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 crosssectional and timeseries datasets, and analyze the data using an econometrics software package.
 Repeatability
 Credit given for only one of ECONE 371 or ECONS 371.
ECONS 370 Statistical Analysis for Business and Economics: Honors
 Credits
 3
 Prerequisites
 MATHM 118, MATHS 118, or MATHV 118; and Hutton Honors student
 Notes
 R: MATHM 119 and ECONE 252 or ECONB 252
 Description
 Honors course. Designed for students of superior ability. Covers same core material as ECONE 370.
 Repeatability
 Credit given for only one of ANTHA 306, CJUSK 300, ECONE 370, ECONS 370, MATHK 300, MATHK 310, POLSY 395, PSYK 300, PSYK 310, SOCS 371, SPEAK 300, SPHQ 381, STATK 310, STATS 300, STATS 301, or STATS 303.
 Fall 2024CASE NMcourseSummer 2024CASE NMcourse
ECONS 371 Introduction to Applied Econometrics: Honors
 Credits
 3
 Prerequisites
 ECONE 251 or ECONB 251; and ECONE 370 or ECONS 370; and MATHJ 113, MATHM 119, MATHV 119, MATHM 211, or MATHS 211; and Hutton Honors Student
 Description
 Designed for students of superior ability. Covers same core material as ECONE 371 and substitutes for ECONE 371 as a prerequisite for other courses.
 Repeatability
 Credit given for only one of ECONS 371 or ECONE 371.
MATHM 365 Introduction to Probability and Statistics
 Credits
 3
 Prerequisites
 MATHM 212, MATHM 213, or MATHS 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 MATHM 360 or MATHM 365.
 Fall 2024CASE NMcourseSummer 2024CASE NMcourse
POLSY 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 ANTHA 306, CJUSK 300, ECONE 370, ECONS 370, MATHK 300, MATHK 310, POLSY 395, PSYK 300, PSYK 310, SOCS 371, SPEAK 300, SPHQ 381, STATK 310, STATS 300, STATS 301, or STATS 303.
 Fall 2024CASE NMcourseSummer 2024CASE NMcourse
PSYK 300 Statistical Techniques
 Credits
 3
 Prerequisites
 One of MATHM 106, MATHM 118, MATHM 119, MATHM 211, MATHM 212, MATHS 211, MATHS 212, MATHV 118, or, MATHV 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, nonparametric methods.
 Repeatability
 Credit given for only one of ANTHA 306, CJUSK 300, ECONE 370, ECONS 370, MATHK 300, MATHK 310, POLSY 395, PSYK 300, PSYK 310, SOCS 371, SPEAK 300, SPHQ 381, STATK 310, STATS 300, STATS 301, or STATS 303.
 Fall 2024CASE NMcourseSummer 2024CASE NMcourse
PSYK 310 Statistical Techniques
 Credits
 3
 Prerequisites
 One of MATHM 106, MATHM 118, MATHM 119, MATHM 211, MATHM 212, MATHS 211, MATHS 212, MATHV 118, or, MATHV 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, nonparametric methods.
 Repeatability
 Credit given for only one of ANTHA 306, CJUSK 300, ECONE 370, ECONS 370, MATHK 300, MATHK 310, POLSY 395, PSYK 300, PSYK 310, SOCS 371, SPEAK 300, SPHQ 381, STATK 310, STATS 300, STATS 301, or STATS 303.
 Fall 2024CASE NMcourseSummer 2024CASE NMcourse
SOCS 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 crosstabulations and/or regression.
 Repeatability
 Credit given for only one of ANTHA 306, CJUSK 300, ECONE 370, ECONS 370, MATHK 300, MATHK 310, POLSY 395, PSYK 300, PSYK 310, SOCS 371, SPEAK 300, SPHQ 381, STATK 310, STATS 300, STATS 301, or STATS 303.
 Fall 2024CASE NMcourseSummer 2024CASE NMcourse
STATK 310 Statistical Techniques
 Credits
 3
 Prerequisites
 MATHM 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 ANTHA 306, CJUSK 300, ECONE 370, ECONS 370, MATHK 300, MATHK 310, POLSY 395, PSYK 300, PSYK 310, SOCS 371, SPEAK 300, SPHQ 381, STATK 310, STATS 300, STATS 301, or STATS 303.
 Fall 2024CASE NMcourseSummer 2024CASE NMcourse
STATS 300 Introduction to Applied Statistical Methods
 Credits
 4
 Prerequisites
 None
 Notes
 R: Mastery of high school algebra; or MATHM 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 ANTHA 306, CJUSK 300, ECONE 370, ECONS 370, MATHK 300, MATHK 310, POLSY 395, PSYK 300, PSYK 310, SOCS 371, SPEAK 300, SPHQ 381, STATK 310, STATS 300, STATS 301, or STATS 303.
 Fall 2024CASE NMcourseSummer 2024CASE NMcourse
STATS 301 Applied Statistical Methods for Business
 Credits
 3
 Prerequisites
 MathM 118 or equivalent
 Description
 Introduction to methods for analyzing data arising in business, designed to prepare business students for the Kelley School\'s Integrative Core. Graphical and numerical descriptions of data, probability models, fundamental principles of estimation and hypothesis testing, applications to linear regression and quality control. Microsoft Excel used to perform analyses.
 Repeatability
 Credit given for only one of ANTHA 306, CJUSK 300, ECONE 370, ECONS 370, MATHK 300, MATHK 310, POLSY 395, PSYK 300, PSYK 310, SOCS 371, SPEAK 300, SPHQ 381, STATK 310, STATS 300, STATS 301, or STATS 303.
 Fall 2024CASE NMcourseSummer 2024CASE NMcourse
STATS 303 Applied Statistical Methods for the Life Sciences
 Credits
 3
 Prerequisites
 None
 Notes
 R: Mastery of high school algebra; or MATHM 014
 Description
 Introduction to methods for analyzing data arising in the life sciences, designed for biology, human biology, and premedical 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 ANTHA 306, CJUSK 300, ECONE 370, ECONS 370, MATHK 300, MATHK 310, POLSY 395, PSYK 300, PSYK 310, SOCS 371, SPEAK 300, SPHQ 381, STATK 310, STATS 300, STATS 301, or STATS 303.
 Fall 2024CASE NMcourseSummer 2024CASE NMcourse
 Criminal Justice Electives. Four (4) courses:
 CJUSP 245 Social Justice and the Justice System
 Any CJUSP 300–399
 Any CJUSP 400–499
 Any CJUSX 300–399
 Any CJUSX 400–499
CJUSP 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.
 Fall 2024CASE DUScourseSummer 2024CASE DUScourse
 Fall 2024CASE SHcourse
 400–499 Level Electives. Two (2) additional courses:
 Any CJUSP 400–499 except CJUSP 481
 Any CJUSX 400–499
 CJUS Residency. At least 27 credit hours must be taken within the Department of Criminal Justice.
 Major GPA, Hours, and Minimum Grade Requirements.
 Major GPA. A GPA of at least 2.000 for all courses taken in the major—including those where a grade lower than C is earned—is required.
 Major Minimum Grade. Except for the GPA requirement, a grade of C or higher is required for a course to count toward a requirement in the major.
 Major Upper Division Credit Hours. At least 18 credit hours in the major must be completed at the 300–499 level.
 Major Residency. At least 18 credit hours in the major must be completed in courses taken through the Indiana University Bloomington campus or an IUadministered or IU cosponsored Overseas Study program.
 College Breadth. At least 58 credit hours must be completed in courses from College of Arts and Sciences disciplines outside of the major area.
Major 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
CJUS
subject 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 nonAddenda requirement through an approved exception
 Any course at the 100–499 level with the
Exclusions
The following courses cannot be applied toward major requirements or the College Breadth requirement:
 CJUSP 150 Introductory Topics in Criminal Justice
CJUSP 150 Introductory Topics in 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.
 Fall 2024CASE SHcourseSummer 2024CASE SHcourse
This program of study cannot be combined with the following:
 Certificate in Criminal Justice (CJUSACRT)
 Minor in Criminal Justice (CJUSMIN)
 [Name unavailable] (CJUSTSBA)
Exceptions to and substitutions for major 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.
The Bachelor of Arts degree requires at least 120 credit hours, to include the following:
 College of Arts and Sciences Credit Hours. At least 100 credit hours must come from College of Arts and Sciences disciplines.
 Upper Division Courses. At least 42 credit hours (of the 120) must be at the 300–499 level.
 College Residency. Following completion of the 60th credit hour toward degree, at least 36 credit hours of College of Arts and Sciences coursework must be completed through the Indiana University Bloomington campus or an IUadministered or IU cosponsored Overseas Study program.
 College GPA. A College grade point average (GPA) of at least 2.000 is required.
 CASE Requirements. The following College of Arts and Sciences Education (CASE) requirements must be completed:
 CASE Foundations
 CASE Breadth of Inquiry
 CASE Culture Studies
 CASE Critical Approaches: 1 course
 CASE Foreign Language: Proficiency in a single foreign language through the second semester of the second year of collegelevel coursework
 CASE Intensive Writing: 1 course
 CASE Public Oral Communication: 1 course
 CASE Sustainability Literacy: 1 course
 Major. Completion of the major as outlined in the Major Requirements section above.
Most students must also successfully complete the Indiana University Bloomington General Education program.