Search Results

Search Results for "STAT 713"

STAT 713. Introduction to Data Science. 3 Credits.

Large Scale Data Manipulation, Data Management, Big Data Construction using Probabilistic and Machine Learning Data Linkage, Web Crawling, Parallel Statistical Computing, and Transferring Data Between Statistical Software. Prereq: STAT 711 or DATA 711. Prereq or Coreq: This course is designed for the certificate degree in Big Data Applied Statistics Analysis and it may not be used toward any other statistics degree. Cross-listed with DATA 713.

Statistics Doctorate

https://catalog.ndsu.edu/curriculum/graduate/statistics-doctorate/
Complete a set of core courses with a grade of B or better including  STAT 661, 662, 767, 768, and 764 or 874 .  Most of these courses will be completed during your M.S. degree.  Without permission, a maximum of two of the courses can be used to count on your plan of study.  Complete an additional 30 semester credits of statistics courses at the 600- to 800-level (does not include  STAT 711, 712, 713, 714 , 725 or 726 ).  At least 15 credits must be at the 700- to 800- level. Upon approval by the adviser and supervisory committee, up to 9 hours may be taken in Mathematics or Computer Science. It is recommended that a student have knowledge of real analysis at some level such as  MATH 650  Real Analysis I  and  MATH 750  Analysis . Pass a written comprehensive exam. This exam consists of two sections. Exam 1 covers STAT 767 and STAT 768. Exam 2 covers STAT 661, STAT 662 and STAT 764 or STAT 774. Exam 1 is two hours and Exam 2 is three hours. These exams are offered during approximately the fifth week of each semester (fall and spring). A maximum of two attempts is allowed. STAT 899 research credits can not be taken during the first two semester in the graduate program at NDSU. Summer does not count as a semester.