**Summer 2020, Fall 2020, or Spring 2021**requirements.

### Description

A student may earn a certificate as part of completing the bachelor's degree and in addition to completing requirements for a major. Through academic, applied, and research experiences in this interdisciplinary certificate program, students will develop an in-depth understanding of how psychological concepts can be applied in a business setting in fields such as Industrial and Organizational Psychology, Human Factors, Design, Marketing, and Advertising. The certificate is designed to prepare students for either further graduate training in applied business psychology or for advanced entry level positions in industry.

Students should consult the Department of Psychological and Brain Sciences website for additional information about applying, including application deadlines, required materials, and an overview of the application process.

- The Certificate in the Psychology of Business is a selective admission certificate program. In order to be eligible for admission to the certificate, students must:
- Have a Major GPA of 3.000 or higher
- Complete the following prerequisite courses with a grade of C+ or higher:
- One (1) of the following options:
- Both of the following:
# 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-P 106, PSY-P 151, or PSY-P 155. Equivalent to IUPUI PSY-B 105 and PSY-P 151.

- Fall 2020CASE NMcourseSummer 2020CASE 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-P 106, or PSY-P 152. Equivalent to IUPUI PSY-B 104 and PSY-P 152.

- Fall 2020CASE SHcourseSummer 2020CASE SHcourse

- The following course:
# 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.

- Fall 2020CASE NMcourseSummer 2020CASE NMcourse

- Both of the following:
- One (1) statistics course from the following:
# 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, STAT-K 310, STAT-S 300, STAT-S 301, STAT-S 303, or SPEA-K 300.

- Fall 2020CASE NMcourseSummer 2020CASE 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, STAT-K 310, STAT-S 300, STAT-S 301, STAT-S 303, or SPEA-K 300.

- Fall 2020CASE NMcourseSummer 2020CASE 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, STAT-K 310, STAT-S 300, STAT-S 301, STAT-S 303, or SPEA-K 300.

- Fall 2020CASE NMcourseSummer 2020CASE 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

- Fall 2020CASE NMcourseSummer 2020CASE NMcourse

# ECON-E 370 Statistical Analysis for Business and Economics

- Credits
- 3
- Prerequisites
- ECON-E 201 or ECON-S 201; and MATH-M 118 or consent of instructor
- Notes
- R: ECON-E 202 or ECON-S 202 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

- Fall 2020CASE NMcourseSummer 2020CASE NMcourse

# ECON-S 370 Statistical Analysis for Business and Economics: Honors

- Credits
- 3
- Prerequisites
- ECON-E 201 or ECON-S 201; and MATH-M 118 or consent of instructor; Honors student
- Notes
- R: MATH-M 119 and ECON-E 202 or ECON-S 202
- Description
- Honors course. Designed for students of superior ability. Covers same core material as ECON-E 370 and substitutes for ECON-E 370 as a prerequisite for other courses.
- Repeatability
- Credit given for only one of ECON-E 370 or ECON-S 370; ANTH-A 306; CJUS-K 300; MATH-K 300 or MATH-K 310; POLS-Y 395; PSY-K 300 or PSY-K 310; SOC-S 371; STAT-K 310, STAT-S 300, STAT-S 301, or STAT-S 303; or SPEA-K 300.

- Fall 2020CASE NMcourseSummer 2020CASE 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.

- Fall 2020CASE NMcourseSummer 2020CASE 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.

- Fall 2020CASE NMcourseSummer 2020CASE 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

- Fall 2020CASE NMcourseSummer 2020CASE 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, STAT-K 310, STAT-S 300, STAT-S 301, or STAT-S 303.

- Fall 2020CASE NMcourseSummer 2020CASE 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

- Fall 2020CASE NMcourseSummer 2020CASE 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

- Fall 2020CASE NMcourseSummer 2020CASE 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

- Fall 2020CASE NMcourseSummer 2020CASE 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, STAT-K 310, STAT-S 300, STAT-S 301, or STAT-S 303.

- Fall 2020CASE NMcourseSummer 2020CASE NMcourse

- SPEA-K 300 Statistical Techniques
- SPH-Q 381 Introduction to Biostatistics

- One (1) of the following options: