Department of Psychological and Brain Sciences
Minor in Psychology
Students on Summer 2019, Fall 2019, or Spring 2020 requirements PSYMIN
Requirements
The minor requires at least 15 credit hours, including the requirements listed below.
- Core. One of the following options:
- One (1) course:
- PSY-P 155 Introduction to Psychological and Brain Sciences
PSY-P 155 Introduction to Psychological and Brain Sciences
- Credits
- 3
- Prerequisites
- None
- Description
- An introduction to psychological and brain sciences for psychology majors. Introduces students to the history of psychology and its place in science, to the experimental method, and to the broad range of topics studied by psychological scientists.
- Repeatability
- Credit given for only one of PSY-P 101, PSY-P 106, PSY-P 151, or PSY-P 155.
- Summer 2025CASE NMcourseSpring 2025CASE NMcourseFall 2024CASE NMcourse
- Two (2) courses:
- PSY-P 101 Introductory Psychology I
- PSY-P 102 Introductory Psychology II
PSY-P 101 Introductory Psychology I
- Credits
- 3
- Prerequisites
- None
- Description
- Introduction to psychology; its methods, data, and theoretical interpretations in areas of learning, sensory psychology, and psychophysiology.
- Repeatability
- Credit given for only one of PSY-P 101, PSY-B 105, PSY-P 106, PSY-P 151, or PSY-P 155.
- Summer 2025CASE NMcourseSpring 2025CASE NMcourseFall 2024CASE NMcourse
PSY-P 102 Introductory Psychology II
- Credits
- 3
- Prerequisites
- PSY-P 101
- Description
- Continuation of PSY-P 101. Developmental, social, personality, and abnormal psychology.
- Repeatability
- Credit given for only one of PSY-P 102, PSY-B 104, PSY-P 106, or PSY-P 152.
- Summer 2025CASE SHcourseSpring 2025CASE SHcourseFall 2024CASE SHcourse
- One (1) course:
- Statistics. One (1) course:
- PSY-K 300 Statistical Techniques
- PSY-K 310 Statistical Techniques
- ANTH-A 306 Anthropological Statistics
- CJUS-K 300 Techniques of Data Analysis
- ECON-E 370 Statistical Analysis for Business and Economics
- ECON-S 370 Statistical Analysis for Business and Economics: Honors
- LAMP-L 316 Junior Seminar: Analytical Problem Solving
- MATH-M 365 Introduction to Probability and Statistics
- POLS-Y 395 Quantitative Political Analysis
- 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
- EDUC-Y 402 Introduction to Statistics for Behavioral and Educational Sciences
- SPEA-K 300 Statistical Techniques
- SPH-Q 381 Introduction to Biostatistics
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.
- Summer 2025CASE NMcourseSpring 2025CASE NMcourseFall 2024CASE 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.
- Summer 2025CASE NMcourseSpring 2025CASE NMcourseFall 2024CASE NMcourse
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.
- Summer 2025CASE NMcourseSpring 2025CASE NMcourseFall 2024CASE NMcourse
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.
- Summer 2025CASE NMcourseSpring 2025CASE NMcourseFall 2024CASE NMcourse
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.
- Summer 2025CASE NMcourseSpring 2025CASE NMcourseFall 2024CASE NMcourse
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.
- Summer 2025CASE NMcourseSpring 2025CASE NMcourseFall 2024CASE NMcourse
LAMP-L 316 Junior Seminar: Analytical Problem Solving
- Credits
- 3
- Prerequisites
- Admission to the LAMP honors certificate program
- Description
- A discussion course emphasizing the use of quantitative methods and analytical skills in exploring and solving business-related problems. Topics vary with the instructor and year and include mathematical modeling and operations research, organizational control, and corporate finance.
- Summer 2025CASE NMcourseSpring 2025CASE NMcourseFall 2024CASE NMcourse
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.
- Summer 2025CASE NMcourseSpring 2025CASE NMcourseFall 2024CASE 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.
- Summer 2025CASE NMcourseSpring 2025CASE NMcourseFall 2024CASE 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.
- Summer 2025CASE NMcourseSpring 2025CASE NMcourseFall 2024CASE 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.
- 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
EDUC-Y 402 Introduction to Statistics for Behavioral and Educational Sciences
- Description
- Course is designed to develop a working understanding of the fundamental concepts used in descriptive and inferential statistics. The purpose is to understand the use of statistics in educational research as a tool to analyze and interpret data. Students will learn appropriate statistical procedures, calculate statistics, and perform statistical tests.
- Additional information
- Credit hour, prerequisite, and other information cannot be displayed for this course. If this is a course outside of the College of Arts and Sciences, please see the appropriate school's bulletin for additional information.
SPEA-K 300 Statistical Techniques
- Description
- Nature of statistical data. Ordering and manipulation of data. Measures of central tendency and dispersion. Elementary probability. Concepts of statistical inference decision: estimation and hypothesis testing. Special topics discussed may include regression and correlation, analysis of variance, nonparametric methods.
- Additional information
- Credit hour, prerequisite, and other information cannot be displayed for this course. If this is a course outside of the College of Arts and Sciences, please see the appropriate school's bulletin for additional information.
SPH-Q 381 Introduction to Biostatistics
- Description
- A conceptual approach is utilized to introduce students to sources of public health data. Basic concepts and models are available to understand and analyze data and information related to prevention of diseases and promotion of health and determinants of health behavior.
- Additional information
- Credit hour, prerequisite, and other information cannot be displayed for this course. If this is a course outside of the College of Arts and Sciences, please see the appropriate school's bulletin for additional information.
- Electives. Any three (3) additional courses in psychology at the 300–499 level.
- Minor GPA, Hours, and Minimum Grade Requirements.
- At least 9 credit hours in the minor 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 9 credit hours in the minor 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 minor.
- A GPA of at least 2.000 for all courses taken in the minor—including those where a grade lower than C- is earned—is required.
- Exceptions to minor 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