Statistics (MS)

Program Educational Goals:

Graduates of the Statistics M.S. program will be able to:

Demonstrate knowledge of the theoretical foundations of statistics and data analytics.
Understand and utilize statistical and data mining techniques to solve modern data problems applicable to diverse business and science applications.
Apply advanced statistical programming, cloud computing, and database management skills with modern statistical and database software platforms.
Communicate data analytics and statistical learning outcomes effectively in oral presentation and writing with critical and inferential thinking both as an independent analyst and in collaborative environments.
Adapt advanced statistical techniques and programming to modern industry applications.
Demonstrate responsible and ethical professional conduct that respects diverse perspectives and promotes inclusivity.

Program Policy Document:

Please see the Program Policy Document for more information.

Requirements for the Master’s Degree in Statistics

The total credits required for the degree are 33. If the student lacks background knowledge for one or more courses, prerequisite courses may need to be taken that do not count toward the degree.

21 credits of Core Courses, 12 credits of Approved Elective Courses.

Core Courses:

(21 Credits)

STAT 601 - Probability Theory for Operations Research and Statistics Credit(s): 3
STAT 602 - Mathematical Statistics Credit(s): 3
STAT 603 - Statistical Computing and Optimization Credit(s): 3
STAT 611 - Regression Analysis Credit(s): 3
STAT 615 - Design and Analysis of Experiments Credit(s): 3
STAT 617 - Multivariate Methods and Statistical Learning Credit(s): 3
STAT 641 - Professional Statistical Practice Credit(s): 1
STAT 666 - Independent Study Credit(s): 1-3
Note: Three credits of a combination of STAT 641 - Professional Statistical Practice and STAT 666 - Independent Study . At least 1 credit must be STAT 641 . The credits for STAT 666 must be 1 credit each for separate topics.

Electives:

Four of the following for 12 credits.

Student can take a maximum of 6 credits from a combination of STAT 664 , STAT 668 , STAT 669 .

STAT 612 - Advanced Regression Techniques Credit(s): 3
STAT 616 - Advanced Design of Experiments Credit(s): 3
STAT 619 - Time Series Analysis Credit(s): 3
STAT 621 - Survival Analysis Credit(s): 3
STAT 622 - Statistical Network Analysis Credit(s): 3
STAT 674 - Applied Data Base Management Credit(s): 3
STAT 675 - Logistic Regression Credit(s): 3
STAT 664 - Statistics Internship Credit(s): 1-6
STAT 668 - Research Project Credit(s): 3-6
STAT 669 - Masters Thesis Credit(s): 3-6

Other Requirements

Students are expected to participate in StatLab and attend departmental seminars. They are also encouraged to attend the monthly meetings of the Delaware Chapter of the American Statistical Association (ASA); and other area professional meetings, such as the ASA Meetings.