Areas of Concentration

Our major provides a broad foundation in psychology and prepares students for a variety of jobs and graduate education programs. Students may wish to choose courses strategically so as to orient themsleves towards a particular type of job market or graduate program. A few suggestions are presented below.

Behavioral Economics

Recommended Economics Courses

ECO 1301 Principles of Economics I

General introduction to economic analysis: cause of economic growth, inflation, depression and recession. Impact of government on the national economy via fiscal and monetary policy. Credit: 3 semester hours.

ECO 1302 Principles of Economics II

General introduction to the theory of how business firms determine what goods to produce, prices charged and the wages paid in a free economy. The effects of government regulations and controls. Credit: 3 semester hours.

ECO 3343 Microeconomic Theory

Prerequisite: ECO 1301, 1302. Presentation of pure theory of prices, with stress on comparison of the utility and indifference curve approaches to value and distribution. Credit: 3 semester hours.

ECO 3328 / MKT 3328 Behavioral Economics

Prerequisite: 1302. Introduction to the field of behavioral economics. Credit: 3 semester hours.

Recommended Psychology Courses

Group 1 PSY 3320 Social Psychology

Prerequisite: PSY 1000C. Examines the scientific study of how real, imagined or anticipated actions or evaluations by others influence our thoughts, feelings or behavior. Topics include the psychology of research participation, attitudes, attitude change, persuasion, conformity, compliance, stereotypes and prejudice, liking and attraction, intimate relationships, group processes, social perception and cognition, the social self, helping others, hurting others and conflict resolution. Credit: 3 semester hours.


Group 3 PSY 3280 Cognitive Psychology

Prerequisite: PSY 1000C, 2030. Examines the scientific study of the acquisition, processing, storage, retrieval, and use of information. Topics include perception, attention, forms of memory, memory effectiveness, imagery, spatial knowledge, language, concepts, reasoning, problem solving, judging, and deciding, expertise, creativity, aging and cognition and unconscious cognitive functioning. Credit: 3 semester hours.

Other Electives to Consider

MTH 1040 Mathematical Models for Decision Making

Prerequisite: Three years of high school mathematics. This course is intended to provide a foundation for practical decision making. Topics selected from finite mathematics, graph theory, probability, Markov chains, theory of voting, game theory. Particularly useful for students in the social sciences. Credit: 3 semester hours.

MKT 3311 Consumer Behavior

Prerequisite: MKT 2301. This course addresses issues related to consumer behavior from a number of different viewpoints. It examines the influences of psychological, sociological, and cultural variables on buying behavior and marketing strategy development. Credit: 3 semester hours.

Data Science

Electives to Consider

MTH 1000C Math for Liberal Arts

This course provides a qualitative approach to an understanding and interpretation of mathematics in the contemporary liberal arts. Topics to be discussed are selected from among those which have relevant application in the liberal arts. Credit: 3 semester hours.

MTH 1260 Calculus for Pharmacy and Allied Health

An introduction to differential and integral calculus for the pharmaceutical and allied health professions. Open to College of Pharmacy and Allied Health Professions students only. Credit: 3 semester hours.

MTH 3340 Foundations of Data Science

BUA 3310 Data Visualization Principles and Techniques

Prerequisite: BUA 2333 or equivalent. This course is primarily focused on data visualization for business. Increasingly, business practitioners are being asked to use data as a crucial component of everyday decisions. In this course, students learn about the fundamentals and best practices of data visualization analysis. Students will focus on data visualization techniques through applied, hands-on projects. Credit: 3 semester hours.


OR Consider a minor in data science

The Data Science Minor consists of five (5) courses.


The required courses are:

Statistics (MTH 1020 or MTH 1210 or equivalent, 3 or 4 credits)

Calculus (MTH 1220 or MTH 1730, 4 credits)

Introduction to Computer and Data Science (CSC 1380, 3 credits)


In addition, students must choose two (2) of the following elective courses:

Mathematical Models for Decision Making (MTH 1040, 3 credits)

Design and Analysis of Algorithms (MTH 3310, 3 credits)

Introduction to Machine Learning (MTH 3320, 3 credits)

Foundations in Data Science (MTH 3340, 3 credits)

Topics in Applied Mathematics (MTH 3970, 3 credits)

Industrial / Organizational

Recommended Psychology Courses


Group 1 PSY 3320 Social Psychology

Prerequisite: PSY 1000C. Examines the scientific study of how real, imagined or anticipated actions or evaluations by others influence our thoughts, feelings or behavior. Topics include the psychology of research participation, attitudes, attitude change, persuasion, conformity, compliance, stereotypes and prejudice, liking and attraction, intimate relationships, group processes, social perception and cognition, the social self, helping others, hurting others and conflict resolution. Credit: 3 semester hours.


Elective PSY 3330 Industrial and Personnel Psychology

Psychological aspects of individual differences, efficiency, working conditions, accident prevention, human engineering, industrial mental health, and counseling. Credit: 3 semester hours.

Elective PSY 4904 Internship in Industrial/ Organizational Psych

Prerequisite: At least twelve semester hours in PSY. Placement in an agency or corporation for eight to ten hours per week of work in psychology related businesses, plus meetings with the instructor. Credit: 3 semester hours.

Electives to Consider

St. John's College

MTH 1040 Mathematical Models for Decision Making

Prerequisite: Three years of high school mathematics. This course is intended to provide a foundation for practical decision making. Topics selected from finite mathematics, graph theory, probability, Markov chains, theory of voting, game theory. Particularly useful for students in the social sciences. Credit: 3 semester hours.


MTH 3320/ CSC 2590 Intro to Machine Learning

Prerequisite: MTH 1740 or permission of chair. Machine learning concepts, techniques, algorithms such as classification, linear regression, and emerging topics such as boosting, SVM, Bayesian networks, reinforcement and deep learning. Credit: 3 semester hours.


RCT 2025 Organizational Communication

Research and theories of communication in corporate, service and non-profit organizations. Skills in interviewing, message design, leadership and committee work.Credit: 3 semester hours.


SOC 1140 Sociology of Work

The organization of work in industrial society, including the shape of the work force; human/ technology interaction; satisfactions and dissatisfactions that result from the social structuring of experience of work. Credit: 3 semester hours.

Tobin College of Business

MGT 2301 Manage and Organization Behavior

This course is designed to provide an overview of managerial and leadership behaviors relevant to the effective utilization of administrative and human resources in organizational settings. Credit: 3 semester hours.


MGT 3323 Organizational Decision Making, Prerequisite: MGT 2301

Prerequisite: MGT 2301, DS 2334. Focuses on the integration and application of both the quantitative and the qualitative concepts, and tools necessary to the evaluation and selection of alternatives in the administrative decision making process. Credit: 3 semester hours.


MGT 4336 Development of Human Resources

Prerequisite: MGT 2301. Students learn applications of management and teaching- learning principles of job training, supervisory development, executive growth and the role of business in meeting urban personnel needs, organization and administration of programs, methods of instruction, evaluation and research. Credit: 3 semester hours.