Industrial & Organizational Psychology
Master of Science Degree
Expand your ability to be a partner in organizational decision making, problem solving, and strategy with this degree. When you graduate you will be well-equipped to bring a strategic, thoughtful approach to employee engagement, personnel selection, talent management, performance, and succession planning. Plus, you will be empowered with statistical and analytical tools to tackle complex organizational challenges, and prepared to build a dynamic, motivated workforce. This applied psychology program features opportunities to complete projects that solve relevant issues within your current employment environment or chosen organization.
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Courses in the major include:
This course focuses on the study of Industrial and Organizational Psychology from a practitioner perspective by covering the major applied and theoretical practices common in the field. Students explore organizational strategy of systems, performance, and human capital management.
In this course, students will analyze the workplace from a social psychology perspective. This includes employee interactions, attitudes, motivation, and other psychological processes that affect the employee environment.
This course introduces students to best practices and applications of job analysis and performance appraisal. Students will review approaches and evaluate the information gathered from these processes to support various organizational objectives including selection, compensation, employee motivation, training, and organizational culture.
This course develops deep insights into how various aspects of social capital such as reputation, leadership, organizational policies, culture, and relationships combine to maximize organizational value utilizing these intangible assets.
This course will explore how organizational interventions can be designed to mitigate risks for companies and implement change. The course will outline how to identify crucial factors that impact organizations, techniques used to assess needs, and application of an organizational development plan.
This baseline course in statistics will provide the student with essential skills to perform various data analyses, interpret data output, and communicate findings to stakeholders in organizations. Introduction to probability, means, variances, correlation, ANOVA, and regression applied to psychological data.
This course prepares students to assess, utilize and interpret selection measurements that are designed to identify the best-fit candidates while also reducing any potential adverse impacts on applicants.
This course addresses how to design psychometrics to support talent management and engagement within an organization. The topics of test development, reliability, validity, and data interpretation will be covered.
Supervised practicum experience with applied projects in Industrial/ Organizational Psychology. Projects will vary on a term basis and are dependent on faculty approval of student proposals. Topics relevant to applied projects such as proposal writing and presentation skills will also be covered.
This is an advanced course on statistical techniques used in psychology. The course will cover linear models of correlation and regression as well as multivariate models such as multiple regression, ANOVA, and ANCOVA. Students will be introduced to the use of statistical computer software.
This course provides instruction in methods and design when conducting research in psychology. Students will be required to propose their own research study that is meaningful to the current workplace, create a research model, conduct a literature review, and design an approved research methodology. This proposal can be related to ongoing research or on a topic of interest to the student.
This course refines the scientist and practitioner skills students have acquired throughout the program to highlight the importance of both perspectives within the workplace. Students will complete research projects with a chosen company or other related scenarios upon approval from faculty. Projects will include creation of measurement tools, collection and analysis of data, data visualizations, and professional deliverables relevant to the study and organization.