Department of Criminology and Criminal Justice
Bachelor of Arts in Criminal Justice
Students on Summer 2018, Fall 2018, or Spring 2019 requirements CJUSBA
Requirements
The major requires at least 30 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.
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- 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.
- Summer 2025CASE SHcourseSpring 2025CASE SHcourseFall 2024CASE SHcourse
- The Nature of Inquiry. One (1) course:
- CJUS-P 290 The Nature of Inquiry
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.
- Summer 2025CASE SHcourseSpring 2025CASE SHcourseFall 2024CASE SHcourse
- Law and Social Science. One (1) course:
- CJUS-P 314 Law and Social Science
CJUS-P 314 Law and Social Science
- Credits
- 3
- Prerequisites
- None
- Description
- Structure and operation of law, legal systems, and legal processes across both civil and criminal justice; the potential role of social science in aiding in understanding that law's creation and implementation, and the potential need for change.
- Repeatability
- Credit given for only one of CJUS-P 202 or CJUS-P 314.
- Summer 2025CASE SHcourseSpring 2025CASE SHcourseFall 2024CASE SHcourse
- Statistics*. One (1) course:
- CJUS-K 300 Techniques of Data Analysis
- 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 301 Applied Statistical Methods for Business
- 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.
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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.
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ECON-E 370 Statistical Analysis for Business and Economics
- Credits
- 3
- Prerequisites
- 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.
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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-M 118, MATH-S 118, or MATH-V 118; and Hutton Honors student
- 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.
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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.
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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.
- Summer 2025CASE NMcourseSpring 2025CASE NMcourseFall 2024CASE 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.
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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.
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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.
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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.
- Summer 2025CASE NMcourseSpring 2025CASE NMcourseFall 2024CASE 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.
- Summer 2025CASE NMcourseSpring 2025CASE NMcourseFall 2024CASE NMcourse
STAT-S 301 Applied Statistical Methods for Business
- Credits
- 3
- Prerequisites
- Math-M 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 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.
- Summer 2025CASE NMcourseSpring 2025CASE NMcourseFall 2024CASE 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.
- Summer 2025CASE NMcourseSpring 2025CASE NMcourseFall 2024CASE NMcourse
- Advanced Criminal Justice Electives. Five (5) courses—two (2) of which must at the 400–499 level—from the Advanced Criminal Justice Electives list.
- CJUS-P 245 Social Justice and the Justice System
- Any CJUS-P 300–399 except CJUS-P 314
- 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.
- Summer 2025CASE DUScourseSpring 2025CASE DUScourseFall 2024CASE DUScourse
- Summer 2025CASE SHcourseSpring 2025CASE SHcourseFall 2024CASE SHcourse
- Major GPA, Hours, and Minimum Grade Requirements.
- At least 18 credit hours in the major must be completed in courses taken through the Indiana University Bloomington campus or an IU-administered or IU co-sponsored Overseas Study program.
- At least 18 credit hours in the major must be completed at the 300–499 level.
- Except for the GPA requirement, a grade of C- or higher is required for a course to count toward a requirement in the major.
- 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.
- Exceptions to major requirements may be made with the approval of the department's Director of Undergraduate Studies, subject to final approval by the College of Arts and Sciences.
Notes
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 IU-administered or IU co-sponsored Overseas Study program.
- College GPA. A cumulative grade point average (GPA) of at least 2.000 is required for all courses taken at Indiana University.
- 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 college-level coursework
- CASE Intensive Writing: 1 course
- CASE Public Oral Communication: 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.
Subject areas
- Any AAAD course that carries degree credit
- Any AAST course that carries degree credit
- Any ABEH course that carries degree credit
- Any AFRI course that carries degree credit
- Any AMST course that carries degree credit
- Any ANTH course that carries degree credit
- Any ARTH course that carries degree credit
- Any ASCS course that carries degree credit
- Any AST course that carries degree credit
- Any BIOC course that carries degree credit
- Any BIOL course that carries degree credit
- Any BIOT course that carries degree credit
- Any CEUS course that carries degree credit
- Any CHEM course that carries degree credit
- Any CJUS course that carries degree credit
- Any CLAS course that carries degree credit
- Any CLLC course that carries degree credit
- Any CMLT course that carries degree credit
- Any COGS course that carries degree credit
- Any COLL course that carries degree credit
- Any EALC course that carries degree credit
- Any EAS course that carries degree credit
- Any ECON course that carries degree credit
- Any ENG course that carries degree credit
- Any EURO course that carries degree credit
- Any FOLK course that carries degree credit
- Any FRIT course that carries degree credit
- Any GEOG course that carries degree credit
- Any GER course that carries degree credit
- Any GLLC course that carries degree credit
- Any GNDR course that carries degree credit
- Any HHC course that carries degree credit
- Any HISP course that carries degree credit
- Any HIST course that carries degree credit
- Any HON course that carries degree credit
- Any HPSC course that carries degree credit
- Any HUBI course that carries degree credit
- Any IMP course that carries degree credit
- Any INST course that carries degree credit
- Any INTL course that carries degree credit
- Any JSTU course that carries degree credit
- Any LAMP course that carries degree credit
- Any LATS course that carries degree credit
- Any LING course that carries degree credit
- Any LTAM course that carries degree credit
- Any MATH course that carries degree credit
- Any MELC course that carries degree credit
- Any MEST course that carries degree credit
- Any MLS course that carries degree credit
- Any MSCH course that carries degree credit
- Any NEUS course that carries degree credit
- Any OVST course that carries degree credit
- Any PACE course that carries degree credit
- Any PHIL course that carries degree credit
- Any PHYS course that carries degree credit
- Any POLS course that carries degree credit
- Any PSY course that carries degree credit
- Any REEI course that carries degree credit
- Any REL course that carries degree credit
- Any RMI course that carries degree credit
- Any SEAS course that carries degree credit
- Any SGIS course that carries degree credit
- Any SLAV course that carries degree credit
- Any SLHS course that carries degree credit
- Any SLST course that carries degree credit
- Any SOAD course that carries degree credit
- Any SOC course that carries degree credit
- Any STAT course that carries degree credit
- Any THTR course that carries degree credit