Department of Psychological and Brain Sciences
Minor in Psychology
Students on Summer 2023, Fall 2023, or Spring 2024 requirements PSYMIN
Requirements
The minor requires at least 15 credit hours, including the requirements listed below.
 Core. One of the following options:
 Introduction to Psychological and Brain Sciences. One (1) course:
 PSYP 155 Introduction to Psychological and Brain Sciences
PSYP 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 PSYP 101, PSYP 106, PSYP 151, or PSYP 155.
 Fall 2024CASE NMcourse
 Introductory Psychology.
 Introductory Psychology I. One (1) course:
 PSYP 101 Introductory Psychology I
PSYP 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 PSYP 101, PSYB 105, PSYP 106, PSYP 151, or PSYP 155.
 Fall 2024CASE NMcourse
 Introductory Psychology II. One (1) course:
 PSYP 102 Introductory Psychology II
PSYP 102 Introductory Psychology II
 Credits
 3
 Prerequisites
 PSYP 101
 Description
 Continuation of PSYP 101. Developmental, social, personality, and abnormal psychology.
 Repeatability
 Credit given for only one of PSYP 102, PSYB 104, PSYP 106, or PSYP 152.
 Fall 2024CASE SHcourse
 Introductory Psychology I. One (1) course:
 Introduction to Psychological and Brain Sciences. One (1) course:
 Statistics. One (1) course:
 PSYK 300 Statistical Techniques
 PSYK 310 Statistical Techniques
 ANTHA 306 Anthropological Statistics
 CJUSK 300 Techniques of Data Analysis
 ECONE 370 Statistical Analysis for Business and Economics
 ECONS 370 Statistical Analysis for Business and Economics: Honors
 LAMPL 316 Junior Seminar: Analytical Problem Solving
 MATHM 365 Introduction to Probability and Statistics
 POLSY 395 Quantitative Political Analysis
 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
 EDUCY 402 INTRODUCTION TO STATISTICS FOR BEHAVIORAL AND EDUCATIONAL SCIENCES
 SPEAK 300 STATISTICAL TECHNIQUES
 SPHQ 381 INTRODUCTION TO BIOSTATISTICS
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 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 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 NMcourse
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 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 NMcourse
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 NMcourse
LAMPL 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 businessrelated problems. Topics vary with the instructor and year and include mathematical modeling and operations research, organizational control, and corporate finance.
 Fall 2024CASE NMcourse
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 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 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 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 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 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 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 NMcourse
EDUCY 402 INTRODUCTION TO STATISTICS FOR BEHAVIORAL AND EDUCATIONAL SCIENCES
 Credits
 3–3 credit hours
 Prerequisites
 None
 Description
 None
SPEAK 300 STATISTICAL TECHNIQUES
 Credits
 3–3 credit hours
 Prerequisites
 None
 Description
 None
SPHQ 381 INTRODUCTION TO BIOSTATISTICS
 Credits
 3–3 credit hours
 Prerequisites
 None
 Description
 None
 Electives. Three (3) courses:
 Any PSYC 400–499
 Any PSYP 300–399
 Any PSYP 400–499 except PSYP 499
 PSYP 499 Honors Thesis Research with departmental approval
 Any PSYY 300–399
 Any PSYY 400–499
 One instance of the following for at least 3 credit hours:
 PSYX 397 Supervised Research I
 PSYX 398 Supervised Research II
 PSYX 497 Supervised Research III
 PSYX 498 Capstone Supervised Research
PSYP 499 Honors Thesis Research
 Credits
 1–12 credit hours
 Prerequisites
 Consent of departmental honors committee
 Notes
 May be substituted for advanced laboratory requirement or, given the permission of the departmental honors committee, for certain other requirements in the program for majors
 Description
 None
 Repeatability
 May be repeated for a maximum of 12 credit hours.
PSYX 397 Supervised Research I
 Credits
 1–6 credit hours
 Prerequisites
 Consent of department
 Notes
 An approved research agreement must be in place. Does not count toward capstone or neuroscience lab credit
 Description
 First in a series of supervised research courses that require active participation in research in a single lab.
 Repeatability
 May be repeated for a maximum of 6 credit hours.
PSYX 398 Supervised Research II
 Credits
 1–6 credit hours
 Prerequisites
 Consent of department
 Notes
 An approved research agreement must be in place.
 Description
 Second in a series of supervised research courses that require active participation in research in a single lab.
 Repeatability
 May be repeated for a maximum of 6 credit hours.
PSYX 497 Supervised Research III
 Credits
 1–6 credit hours
 Prerequisites
 Consent of department
 Notes
 An approved research agreement must be in place
 Description
 Third in a series of supervised research courses that require active participation in research in a single lab. Does not count toward capstone or neuroscience lab credit. An independent experiment of modest magnitude.
 Repeatability
 May be repeated for a maximum of 6 credit hours in PSYP 493 and PSYX 497.
PSYX 498 Capstone Supervised Research
 Credits
 2–3 credit hours
 Prerequisites
 Consent of department
 Notes
 R: PSYX 397, PSYX 398, or PSYX 497. An approved research agreement must be in place. Counts toward capstone credit or neuroscience lab credit in approved labs
 Description
 The capstone experience in a series of supervised research courses that require active participation in research in a single lab. Course requires a research plan and progress reports.
 Repeatability
 May be repeated for a maximum of 6 credit hours in PSYP 494 and PSYX 498.
 Minor GPA, Hours, and Minimum Grade Requirements.
 Minor GPA. 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.
 Minor 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 minor.
 Minor Upper Division Credit Hours. At least 9 credit hours in the minor must be completed at the 300–499 level.
 Minor Residency. At least 9 credit hours in the minor must be completed in courses taken through the Indiana University Bloomington campus or an IUadministered or IU cosponsored Overseas Study program.
Minor 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
PSY
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
 NULL:
Exclusions
The following courses cannot be applied toward minor requirements:
This program of study cannot be combined with the following:
 Bachelor of Arts in Psychology (PSYBA)
 Bachelor of Science in Clinical Psychological Science (CLPSYSCIBS)
 Bachelor of Science in Organizational and Business Psychology (OBPSYBS)
 Bachelor of Science in Psychology (PSYBS)
 Certificate in Clinical Psychological Science (CLNPSYACRT)
 Certificate in the Psychology of Business (PSYBUSACRT)
 [Name unavailable] (PSYTSBA)
 [Name unavailable] (PSYTSBS)
 [Name unavailable] (CLPSYSTSBS)
 [Name unavailable] (OBPSYTSBS)
Exceptions to and substitutions for minor 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.