Minor in Data Analytics

The MINOR in DATA ANALYTICS (22-24 hours) is useful for those wanting to get a general understanding of the now-popular "Data Science" career path. The choice of courses gives students a sense of preparation needed for a more thorough immersion in Data Science. The knowledge domains span Computer Science, Statistics, Business and Information Systems. The list of classes are shown below. Please note that some of these classes may not be offered every term. So, please talk to the chair of the department and plan ahead.

CSC145 - Introduction to Programming I [Pre-req: CSC101 and MAT150 or equivalent],
CIS243 - Business Statistics I [Pre-req: CSC199 and MAT220 or MAT250],
CIS343 - Business Statistics II [Pre-req: CIS243 or STA135 with a minimum grade of C and MAT220],
STA565 (4) - Applied Statistics I
STA567Introduction to Time Series Analysis

Pick ONE from 
CIS407 - Advance Database Management Systems [Pre-req: CSC232/CSC145  and either CIS307/ACC308/consent of instructor], or 
CIS509 - Data Warehousing and Business Intelligence [Pre-req: Junior standing] 

Pick ONE from 
CIS543 - Data Analysis & Modelling [Pre-req: CIS343]
CSC508 -  Data Analysis and Pattern Classification for Machine Learning [Prereq: CSC 300, MAT 250 and STA135/540], 

Pick TWO from the following
CSC375 - Introduction to Machine Learning
CIS361 - Developing Data Products [Prereq: CSC 145 / 232 /233 /235]
EES202 (4) -  Introduction to Geographic Information Science**
EES205  -  Mapping for Society
EES512 (4) - Remote Sensing
EES521 (4) - Geographic Information Systems 

* STA135 may be taken in lieu of CIS243
** Completing the EES sequence of 202/512/521 will make the student eligible for the certificate in Geographic Information Science
Six hours must be upper level courses completed at Murray State University