Data Analysis Certificate

15-20 credit hours

Only degree-seeking Lindenwood undergraduate students are eligible to earn this career certificate.

The certificate in data analysis is designed to provide students with the skills needed to process, analyze, and present information obtained from large data sets.

Requirements

Certificate Coursework

9 credit hours of coursework from the following options:

DSCI 30100 - Data Analysis with R 3 Credit Hour(s)
MGMT 26014 - Excel for Professionals 3 Credit Hour(s)
MTH 34500 - Regression Analysis 3 Credit Hour(s)

Statistics Coursework

3-4 credit hours of coursework from the following options:

MTH 14100 - Basic Statistics 3 Credit Hour(s) and MTH 24000 - Bridge Course: Statistics for Natural Science 1 Credit Hour(s)
or
MTH 24100 - Statistics for Natural Science 3 Credit Hour(s)
or
PSY 30600 - Behavioral Science Statistics 3 Credit Hour(s)

Elective Coursework

2-4 credit hours of coursework from the following options:

BSC 36600 - Field Biology 3 Credit Hour(s)
BSC 40800 - Genetics 4 Credit Hour(s)
BSC 46500 - General Ecology 4 Credit Hour(s)
CHM 35500 - Analytical Chemistry 4 Credit Hour(s)
ECON 43078 - Econometrics 3 Credit Hour(s)
GEO 20000 - Introduction to Geographic Information Systems (GIS) 3 Credit Hour(s)
MGMT 36033 - Business Analytics I 3 Credit Hour(s)
PSY 30400 - Basic Research Methods 3 Credit Hour(s)
SW 42500 - Social Work Research Methods I 2 Credit Hour(s)

Practical Application Coursework

1-3 credit hours of coursework from the following options:

CSC 45111 - Internship 3 Credit Hour(s)
MTH 38901 - Undergraduate Research 3 Credit Hour(s)
MTH 48001 - Mathematics Internship 1-3 Credit Hour(s)
This project or internship should be taken as a capstone to the program, and should employ and build upon skills developed in other courses taken as part of the requirements of the certificate. The project or internship must be approved by the student’s advisor, as well as the department head of mathematics, computer science, and information technology.