Back To Top
Menu

Analytics

Students learn in a classroom.
Overview

Analytics Minor (23 Credit Hours)

The analytics minor is a useful complement to majors in health or natural sciences. Like other structured minors, it offers greater employment potential.

Required Courses:

Course Number Course Name Credits
MAT 123

Introduction to Applied Statistics

This course includes the underlying fundamental mathematical principles and their application to a wide range of statistical methods and tests. Included are the following: sampling, frequency distributions, probability, regression,confidence intervals, hypothesis testing, t-test, analysis of variance, chi-square and correlation. Existent computer software such as MiniTab is utilized by students to aid and facilitate the analysis of results. Not open to those who have taken MAT 120

Prequisites: one computer science course or take 1 course fromPHY-101L PHY-103L or PHY-111L

4
MAT 124

Intermediate Applied Statistics

This course continues and expands the material present in MAT 123. The course will cover hypothesis testing for variances, symmetric versus asymmetric distributions, non-parametric methods for one, two or multiple samples, measures of association, multifactor analysis of variance, and analysis of covariance. The material focuses on the application of known methods. Large data sets will be employed to explore the methods presented in class. The course will employ one of SPSS, MINITAB or SAS.

Prequisites: MAT-123 with a minimum grade of C.

4
MAT 220

Applied Regression Analysis

The course covers the ideas behind, application of, and evaluation of regression processes, which are used to explore the relationships between variables. This course will cover simple linear regression, multiple linear regression, regression diagnostics, use of qualitative variables as predictors, transformations of variables, collinear data, and logistical regression. The material focuses on the application of known methods. Large data sets will be employed to explore the methods presented in class. The course will employ one of SPSS, MINITAB, or SAS.
Offered in: Fall Only
Prequisites: MAT-124 and achieve a minimum grade of C.

3
MAT 222

Statistical Computing

Students will learn about various types of relational database programs and understand the fundamental aspects of SQL (Structured Query Language). This course covers database concepts, design concepts, database administration, and web-based databases. Students will receive an introduction to the SAS programming language with a focus on manipulation, summarizing, and basic statistical analysis of large data sets.
Offered in: Spring Only
Prequisites: Mat-123 and achieve a minimum grade of C, 1 CSC course - CSC-151 is prefered.

3
MAT 224

Biostatistics

This course provides an introduction to common experimental designs in the health sciences, such as clinical trials, case-control studies, and cohort studies, and the statistical methods used in those studies, including odds ratios, relative risk, logistic regression, longitudinal analysis, and survival analysis. Emphasis is placed on practical data analysis in biology and medicine. The course will employ one of SPSS, MINITAB or SAS.
Offered in: Spring Only
Prequisites: Mat-220 and achieve a minimum grade of C

3
MAT 228

Applied Statistical Inquiry

The course will cover the process of statistical inquiry, including defining the problem, hypotheses development, selection of appropriate variables, test selection, interpretation of results, and reporting of conclusions. Large data sets will be employed to explore the methods presented in class. Group projects and oral presentations will simulate real life job experiences in the analytics industry. This course will employ one of SPSS, MINITAB or SAS.
Offered in: Fall Only
Prequisites: Mat-220 Mat-222 Mat-224 and achieve a minimum grade of C

3
CSC XXX

One Elective CSC 151 is recommended

Choose one elective from CSC courses. CSC 151 is recommended.
3