Data Analytics Minor

Required courses:

• CSC-121 Intro to Computer Programming
• CSC-272 Introduction to Data Mining
• MTH-245 Statistical Methods I with R

Electives:

Eight credits must be completed from the list of elective courses below (four credits of which must have a prefix that is not MTH or CSC):

• ACC-350 Accounting Information Systems
• BIO-222 Research and Analysis
• BIO-431 Landscape Ecology and Conservation
• BIO-445 Genomics and Bioinformatics
• BUS-230 Business Analytics
• BUS-337 Intermediate Business Analytics
• CHM-240 Experimental Techniques
• CHM-330 Analytical Chemistry
• CSC-341 Database Management Systems
• CSC-343 Artificial Intelligence
• CSC-372 Machine Learning with Big Data
• ECN-331 Empirical Methods in Economics
• ECN-475 Senior Seminar in Economics (specific topics approved by the oversight committee)
• EES-201 Geographic Information Systems
• EES-301 Remote Sensing
• HSC-201 Research and Evaluation in Health Sciences
• HSC-401 Epidemiology
• HST-322 Simulating Historic Communities in Virtual Space
• MTH-335 Mathematical Models and Applications
• MTH-337 Operations Research
• MTH-340 Probability
• MTH-341 Mathematical Statistics
• MTH-345 Statistical Methods II with R
• PSY-202 Research Methods and Statistics II
• SOC-303 Quantitative Research Seminar
• SOC-304 Qualitative Research Seminar
• SUS-242 Dynamic System Modeling

• *Note:  Independent Study, Independent Research, and Directed Independent Study (Courses numbered 501, 502, and 504) may be used as electives with approval of the oversight committee. Likewise, directed summer research experiences (TFA-002) may be considered for use as electives with approval, along with the submission of a substantive research paper to be reviewed by the committee.

Additional requirements:

Each student must present an analytics-related project at Furman Engaged or an approved Furman Engaged-like venue to satisfy the minor requirements.