• Ulster University Featured Masters Courses
  • University of Surrey Featured Masters Courses
  • Northumbria University Featured Masters Courses
  • Birmingham City University Featured Masters Courses
  • University of Bristol Featured Masters Courses
  • University of Derby Online Learning Featured Masters Courses
  • Xi’an Jiaotong-Liverpool University Featured Masters Courses
De Montfort University Featured Masters Courses
University of Leeds Featured Masters Courses
Nottingham Trent University Featured Masters Courses
Cranfield University Featured Masters Courses
University of Bath Featured Masters Courses
0 miles
Mathematics×

Rochester Institute of Technology USA Masters Degrees in Applied Statistics

We have 1 Rochester Institute of Technology USA Masters Degrees in Applied Statistics

  • Mathematics×
  • Applied Statistics×
  • Rochester Institute of Technology USA×
  • clear all
Showing 1 to 1 of 1
Order by 
The MS program in applied statistics is available to both full- and part-time students with courses available both on-campus and online. Read more

Program overview

The MS program in applied statistics is available to both full- and part-time students with courses available both on-campus and online. Cooperative education is optional. The program is intended for students who do not wish to pursue a degree beyond the MS. However, a number of students have attained doctorate degrees at other universities.

Plan of study

The program requires 30 credit hours and includes four core courses, five electives, and a capstone or thesis.

Core courses

There are four required core courses. Students, in conjunction with their advisers’ recommendations, should take the core courses early in the program.

Curriculum

Applied statistics, MS degree, typical course sequence:
First Year
-Statistical Software
-Fundamentals of Statistical Software
-Regression Analysis
-Foundations of Experimental Design
-Electives
Second Year
-Electives
-Capstone

Concentration areas

-Predictive Analytics
-Data Mining/Machine Learning
-Industrial
-Biostatistics
-Theory

Electives, capstone or thesis

Elective courses are chosen by the student with the help of their adviser. These courses are usually department courses but may include (along with transfer credits) up to 6 credit hours from other departments that are consistent with students’ professional objectives. The capstone course is designed to ensure that students can integrate the knowledge from their courses to solve more complex problems. This course is taken near the end of a student’s course of study. Students, with adviser approval, may write a thesis as their capstone.

Other admission requirements

-Have a satisfactory background in mathematics (one year of university-level calculus) and statistics (preferably two courses in probability and statistics).
-Submit official transcripts (in English) of all previously completed undergraduate and graduate course work.
-Submit a current resume.
-Submit two letters of recommendation, and complete a graduate application.
-International students whose native language is not English must submit scores from the Test of English as a Foreign Language (TOEFL).
-Scores from the Graduate Record Exam (GRE) are not required, however submitting scores may support the admission of an applicant who is deficient in certain admission requirements.

Additional information

Grades:
Students must attain an overall program grade-point average of 3.0 (B) for graduation.

Maximum time limit:
University policy requires that graduate programs be completed within seven years of the student's initial registration for courses in the program. Bridge courses are excluded.

Read less

  • 1
Show 10 15 30 per page



Cookie Policy    X