Master of Data Science

Admissions Requirements

Admissions to this program requires completion of a Bachelor’s degree from a regionally accredited institution in the United States or the completion of education that the University of Pittsburgh deems comparable to a Bachelor’s degree from a regionally accredited institution in the United States.
 
To be admitted to the program, eligible students must:
 
 - Complete a brief web-based enrollment form
 - Earn a grade of B or better in CMPINF 2100: Data-Centric Computing
 
Upon completion of the above, students will be admitted to the Master of Data Science program.  Note that International students must demonstrate English language proficiency as required by University of Pittsburgh policy. Applicants who have completed the equivalent of a baccalaureate degree at an institution outside of the United States are required to provide official third-party evaluations of those academic credentials.
 
For further information about beginning our Performance-Based Admissions processes, please see the program web page.

Academic Standing and Dismissal

Academic standing is maintained and monitored each term by the Dean’s Office. In order to be in good academic standing, students are expected to maining a cumulative GPA of 3.00 or above and make continued progress toward their degree. Students are placed in teh Academic Probation status after earning a cumulative GPA of 3.00 or above and make continued progress toward their degree. Students are placed in the Academic Probation status after earning a cumulative GPA below 3.00. Students placed on Academic Probation will be notified in writing by the Dean’s Office. Students who are on Academic Probation for failing to meet GPA requirements must earn a GPA of at least 3.00 for each term that they enroll until they have achieved a cumulative GPA of 3.00 of above. If such a student fails to earn at least a 3.00 term GPA in two consecutive terms. they are subject to Academic Dismissal.

Degree Requirements

This is an online professional master’s degree requiring 30 credits of coursework completed with a minimum C grade or higher. The minimum cumulative GPA required for graduation is 3.0. General policies governing this professional master’s degree can be found in School of Computing and Information . 

The distribution of credits is outlined below.