What are the differences of tuition and fees between regular- and special-session classes?

According to Bursar Office, following table is for a graduate student taking classes in Fall 2019 or Spring 2020. This table includes both Resident and Non-resident students. Tuition and fees for Fall 2020 or Spring 2021 are subject to change.

Resident               Regular Session                                 Special Session

Units     Tuition     Fees    Others   Total           Tuition     Fees     Others   Total

1            $2,080   $1,055      $0       $3,137             $750       $0          $0         $750

3            $2,080   $1,055      $0       $3,137          $2,250       $0          $0      $2,250

6            $2,080   $1,055      $0       $3,137          $4,500       $0          $0      $4,500

9            $3,588   $1,055      $0       $4,643          $6,750       $0          $0      $6,750

12          $3,588   $1,055      $0       $4,643          $9.000       $0          $0      $9.000


Non-resident        Regular Session                                 Special Session

Units     Tuition     Fees    Others    Total          Tuition     Fees     Others   Total

1            $2,082   $1,055      $396   $3,533             $750       $0          $0         $750

3            $2,082   $1,055   $1,188   $4,325          $2,250       $0          $0      $2,250

6            $2,082   $1,055   $2,376   $5,513          $4,500       $0          $0      $4,500

9            $3,588   $1,055   $3,564   $8,207          $6,750       $0          $0      $6,750

12          $3,588   $1,055   $4,752   $9,395          $9.000       $0          $0      $9.000

What are the differences between Regular Session and Special Session?

The MS in Data Analytics program is offered through two different sessions: Regular Session and Special Session.

Regular Session is state-supported and state-subsidized. The cap on the number of Regular Session students who are accepted to the program each semester is related to the amount of money received from the state. In addition to the state tuition fees (based on the number of enrolled units), non-California resident surcharge fees (currently $396 per unit) might be applicable. Regular Session students pay campus mandatory fees and are eligible to take advantage of San José State University student services, such as Santa Clara County transit services, student body organizations, student health care, and recreational facilities. Enrollment in Regular Session affords California residents other financial support options such as CSU or CalVet fee waiver.

Special Session is completely funded from student tuition, and it does not receive any financial support from the State of California. Special Session tuition is assessed as a per unit fee (currently $750 per unit). Students can opt to pay the same student fees as Regular Session students if they wish to access student services, such as Santa Clara County transit services, student body organizations, health care, and recreational facilities.

Regular Session and Special Session students must meet the same graduation requirements (e.g., same required courses, same number of elective units, same total number of units to graduate), and they will receive the exact same diploma when they graduate.

If you need assistance in deciding between the two sessions, please contact ms-data-analytics@sjsu.edu.

What are the Python Programming Test and DATA 200?

DATA 200, Computational Programming for Data Analytics, is a remedial course in addition to the 10 required courses of the MSDA degree. As a remedial course, DATA 200 does not count towards earning your degree. The tuition cost of DATA 200 is $2,250 for Special Session students, and the cost will vary for Regular Session students based on the number of units they are taking and their residency status.

The admission status of all students admitted to the Fall 2020 semester is “Conditionally Classified”. Each student is required to pass the Python Programming Test (waiver exam) in the first week of the admitted semester or the DATA 200 class during the same semester. Students may choose to skip the Python test if they already know they want to enroll in DATA 200.

Due to COVID-19, the test will be conducted online for Fall 2020 only. In order to ensure each student has an opportunity to take the test, the test will be conducted during the first two weeks of August 2020.

The scope of this test includes Python language, data structures and algorithms. The test consists of multiple choices, short questions, and/or coding exercises.

The status of a student who has passed the Python Programming Test or the DATA 200 class will be changed from “Conditionally Classified” to “Classified” at the end of the Fall 2020 semester.

Who teaches the MSDA courses?

SJSU professors and industry experts teach the MSDA courses.  Professors are recruited from current instructor pools from five of SJSU’s colleges: the College of Business, the College of Engineering, the College of Professional and Global Education, the College of Health and Human Sciences, and the College of Science.


What course content is covered in DATA 294 (Data Analytics Seminar)?

MSDA students take this course during their second semester at SJSU.  Silicon Valley domain experts and industry leaders are invited to the class to present their case studies and potential industry project topics for students. Students conduct independent research in applying data analytics to specific domains. Student also write effective technical reports and present results about emerging technologies in the area of data analytics in order to satisfy Graduate Writing Assessment Requirement (GWAR).


What academic background do current MSDA students have?

The current 144 MSDA students have earned their B.S., M.S., and/or Ph.D. degrees in business, engineering as well as computer, natural, health, social and human sciences from Brown, Carnegie Mellon, Columbia, Cornell, Georgia Tech, Illinois Urbana-Champaign, Michigan State, Oregon, Penn State, Stanford, Virginia Tech, Washington, California State University (East Bay, San Bernardino, San Jose), University of California (Berkeley, Davis, Irvine, Los Angeles, Riverside, San Diego, Santa Barbara), Indian Institute of Technology, National Taiwan University, State University of Campinas (Brazil), Tsinghua University (China), University of British Columbia (Canada), as well as other U.S. and international universities.