Example study plan 1

• Year 1 Spring semester (9 credits)
  • C S 453 Python Programming I
  • C S 458 R Programming
  • One elective course. The students can consider taking BCIS, SOCI, or ICT courses in the first semester. Students with a solid background in Python/R programming can consider other elective courses. The general advice is to contact the instructor for more information about specific prerequisites.
• Year 1 Fall semester (9 credits)
  • A ST 511 Statistical Methods for Data Analytics
  • C S 508 Introduction to Data Mining
  • ICT 458 Web Development and Database Applications
• Year 2 Spring semester (9 credits)
  
  • C S 519 Applied Machine Learning I
  • Two elective courses
• Year 2 Fall semester (3 credits)
  • Master's project or internship

Example study plan 2

• Year 1 Spring semester (9 credits)
  • C S 453 Python Programming I
  • C S 458 R Programming
  • BCIS 575 Database Management Systems
• Year 1 Fall semester (9 credits)
  • A ST 511 Statistical Methods for Data Analytics
  • C S 508 Introduction to Data Mining
  • One elective course
• Year 2 Spring semester (9 credits)
  • C S 519 Applied Machine Learning I
  • Two elective courses
• Year 2 Fall semester (3 credits)
  • Master's project or internship

Note: 

• Most courses (except C S 453) are not offered in the summer.
• For international students who are admitted to the NMSU-Main campus, please check this link to make sure that your course selection meets the immigration office requirement.