Educational Data Science PhD

Required Core (16 credits)

• CEP 500LEC - Fundamentals of Educational Research Credits: 3
• CEP 510SEM - Psychometric Theory in Ed Credits: 3
• CEP 523LLB - Statistical Methods: Inference II Credits: 4
• CEP 541LEC - Human Growth & Development Credits: 3
• CEP 560LEC - The Psychology of Learning and Instruction Credits: 3

•  

• CEP 525SEM - Multivariate Statistical Techniques (4) Credits: 4

• or

• CEP 529LEC - Applied Regression Analysis Credits: 4

Elective Courses (27 credits)

Additional Electives (14 credits)

Select additional electives from the catagories below, and with advisor approval, in order to reach a minimum of 72 total credit hours. Number of elective credits may vary depending on choices to complete other requirements. 

Culminating Experience: Thesis/Dissertation (15 credits)

• CEP 700TUT - Individual Guidance of the Project Credits: 1 - 12 (PhD Qualifying Paper)
• CEP 702TUT - Individual Guidance of the Dissertation Credits: 1 - 10

Total Credit Hours: 72

3,0 Degree GPA required

Instruction Method

• In Person (100 percent of courses offered in person)

Full/Part Time Options

• Full Time
• Part Time

Credits Required

• 90 Hours

Time-To-Degree

• 4 to 5+ Years

Application Fee

• $50

SED Statement

This program is officially registered with the New York State Education Department (SED).

Online programs/courses may require students to come to campus on occasion. Time-to-degree and number of credit hours may vary based on full/part time status, degree, track and/or certification option chosen. Time-to-degree is based on calendar year(s). Contact the department for details.