Data Science (MS)

Program Requirements:

30 credits are required for the degree. There are non-thesis and thesis options.

Mathematical Sciences Required Courses:

Choose two of the following (6 credits):

Computer Science Required Courses:

Choose two of the following (6 credits):

Applied Ecomonics and Statistics Required Courses:

Choose two of the following (6 credits)

Note:

*Credit for both STAT 674 and CISC 637 cannot be applied to the degree.

Restricted Electives:

Choose four of the following (12 credits):

Note:

A course from the required lists may be chosen as an elective provided that it has not already been used to satisfy the six core courses requirement.

Non-thesis option:

30 credits of course work are required. Up to three credits of Special Problem or Research can be applied toward the credit total. These Special Problem or Research credits may come from experience on campus or in industry (e.g., internships). Special Problem or Research credits must be related to the degree and must be approved by the advisor and the executive committee. Valid scholarly output from such credits are presentations (oral or poster), papers, reports or similar that demonstrate related work in the field.

Thesis option:

Up to six credits can be used to do a MS thesis according the requirements of the department in which the student will take the degree. The University requirements for master’s theses shall apply to the thesis in this degree. The committee for the thesis shall include three members with at least one member not from the specialty department.

Data Science (MS)

Program Requirements:

Mathematical Sciences Required Courses:

Computer Science Required Courses:

Applied Ecomonics and Statistics Required Courses:

Note:

Restricted Electives:

Note:

Non-thesis option:

Thesis option:

Last Revised for 2019-2020 Academic Year