M.S.Data Analytics - Curriculum (30 hours)

Students will learn data science techniques offered by the Departments of Computer Science (CS), Statistics (STAT), and Mathematic (MATH), and analytic skills/business applications provided by the Departments of Economics (ECON), Geography (GEOG), IMSE, and the College of Business (Accounting, Finance, Marketing, Management).

This collaborative curriculum will provide students with the necessary skills and knowledge to find secure, professional jobs, provide companies scientific and systematic methods of decision- making, and provide involved faculty members opportunities to improve their professional and research skills by utilizing real business issues.

21 Hours of Required Courses

  • CIS 731: Programming Techniques for Data Science & Analytics (3 hrs) (F)
  • ECON 630 Intro to Econometrics (3 hrs) (F,S)
  • IMSE 785: Big Data Analytics (3 hrs) (S)
  • MANGT 830: Information Technology Strategy and Application (3 hrs) (F)
  • MIS 665: Business Analytics and Data Mining (3 hrs) (F,S)
  • MIS 670: Social Media Analytics and Web Mining (3 hrs) (F,S)
  • MKTG 880: Applied Marketing Analytics (3 hrs) (S)

9 Hours of Track Electives

Track #1: Data Science

  • CIS 730: Principles of Artificial Intelligence (3 hrs) (S)
  • CIS 732: Machine Learning and Pattern Recognition (3 hrs) (F,S)
  • CIS 751: Computer and Information Security (3 hrs) (F)
  • CIS 833: Information Retrieval and Text Mining (3 hrs) (F)
  • IMSE 680: Quantitative Problem Solving Techniques (3 hrs) (F)
  • MATH 725: The Mathematics of Data and Network I (3 hrs) (F)
  • MATH 726: The Mathematics of Data and Network II (3 hrs) (S)
  • STAT 717: Categorical Data Analytics (3 hrs) (S)
  • STAT 730: Multivariate Statistical Methods (3 hrs) (S)
  • STAT 766: Applied Data Mining/Machine Learning and Predictive Analytics (3 hrs) (F,S)

Track #2: Applied Analytics

  • ACCTG 856: Accounting Analytics (3 hrs) (S,Su)
  • CIS 732: Machine Learning and Pattern Recognition (3 hrs) (F,S)
  • ECON 686: Economic Forecasting (3 hrs) (F,S)
  • FINAN 623: Financial Modeling (3 hrs) (F,S)
  • GEOG 608: Geographic Information Systems II (3 hrs) (F)
  • GEOG 712: Internet GIS and Distributed Geographic Information Services (3 hrs) (S)
  • GEOG 728: Topics in Programming for Geographic Analysis (3 hrs) (F,S)
  • GEOG 808: Geocomputation (3 hrs) (S)
  • MANGT 662: Procurement, Logistics and Supply Chain Design (3 hrs) (S)
  • MKTG 881: Advanced Marketing Analytics (3 hrs) (F)

College of Business Administration

Graduate Programs

Ms. Lynn Waugh
Graduate Programs Coordinator    
2006 Business Building
1301 Lovers Lane
Manhattan, KS 66506

785-532-7190
785-532-7809 fax
lwaugh@ksu.edu

Monday-Friday
8 a.m. - 5 p.m.