The Media School
Specialization in Media Research (Bachelor of Arts in Media)
Students on Summer 2020, Fall 2020, or Spring 2021 requirements MDAS23
Requirements
The specialization requires at least 9 credit hours, including the requirements listed below.
 Media Research. Two (2) courses:
 MSCHS 315 Media Processes and Effects
 MSCHS 348 Audience Analysis
 MSCHS 471 Applying Theory to Media Design
 MSCHX 498 Research in Media
MSCHS 315 Media Processes and Effects
 Credits
 3
 Prerequisites
 A grade of C or higher in MSCHC 213; or consent of instructor
 Description
 Examination of the effects of the mass media on human cognitions, attitudes, and behaviors, relying on empirical social science research; emphasis on the effects on individuals, although study will include groups, organizations, and social norms.
 Repeatability
 Credit given for only one of MSCHS 315 or TELT 314.
 Fall 2024CASE SHcourseSummer 2024CASE SHcourse
MSCHS 348 Audience Analysis
 Credits
 3
 Prerequisites
 None
 Description
 The behavior, descriptors, and measurement of telecommunications audiences. Sample survey, focus groups, and other research methods used by the telecommunications industry.
 Fall 2024CASE SHcourseSummer 2024CASE SHcourse
MSCHS 471 Applying Theory to Media Design
 Credits
 3
 Prerequisites
 A grade of C or higher in MSCHC 101 or MSCHH 101
 Description
 Basic media theories as well as cognitive, emotional, and social psychology, with a focus on how these theories can be applied to the design of media messages. Special attention given to interactive and immersive mediated environments.
 Repeatability
 Credit given for only one of MSCHS 471 or TELT 471.
MSCHX 498 Research in Media
 Credits
 1–4 credit hours
 Prerequisites
 Application approved by director of undergraduate studies and instructor
 Notes
 Application is available on the Media School website
 Description
 Opportunity for independent readings, research, and experimentation on relevant issues in media and communications; work with faculty member on individual basis.
 Repeatability
 May be repeated for a maximum of 6 credit hours in JOURJ 499, MSCHJ 499, and MSCHX 498.
 Statistics. One (1) course:
 CJUSK 300 Techniques of Data Analysis
 ECONE 370 Statistical Analysis for Business and Economics
 LAMPL 316 Junior Seminar: Analytical Problem Solving
 PSYK 300 Statistical Techniques
 PSYK 310 Statistical Techniques
 SOCS 371 Statistics in Sociology
 STATS 211 Statistics for Journalists
 STATS 300 Introduction to Applied Statistical Methods
 STATS 303 Applied Statistical Methods for the Life Sciences
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 NMcourseSummer 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 NMcourseSummer 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 NMcourseSummer 2024CASE NMcourse
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 NMcourseSummer 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 NMcourseSummer 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 NMcourseSummer 2024CASE NMcourse
STATS 211 Statistics for Journalists
 Credits
 3
 Prerequisites
 None
 Notes
 R: Mastery of high school algebra; or MATHM 014
 Description
 Essential statistical concepts and tools for journalists in the age of data, including probability, graphics, descriptive statistics, prediction, study design, comparison, testing, and estimation. The course has a heavier emphasis on writing and reading media reports than other introductory statistics courses.
 Fall 2024CASE NMcourseSummer 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 NMcourseSummer 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 NMcourseSummer 2024CASE NMcourse
 Specialization GPA, Hours, and Minimum Grade Requirements.
 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 specialization.
 Minor GPA. A GPA of at least 2.000 for all courses taken in the specialization—including those where a grade lower than C is earned—is required.
Specialization 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 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
Exceptions to and substitutions for specialization 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.