The Dual M.S. Degree program in Data Science and Applied Statistics is recommended for students with a background in Data Science who also want to acquire deep statistical skills. Students in this program satisfy the requirements of both the Data Science and Applied Statistics M.S. programs, and receive both degrees in 3 or fewer years. Students need to apply to and be admitted by both the Data Science and Statistics admissions committees. The program requires a minimum of 52 credit hours of graduate course work, a “savings” of 9 credit hours compared to completing both programs individually. Students will still complete the requirements of each degree.

Course Requirements (52 credits):

• 3 credits of Data Mining and Search (CSCI-B 551, CSCI-B 555, CSCI-B 565, CSCI-P 556, ENGR-E 511, ILS-Z 534, or INFO-I 606)
• 3 credits of Data Management and Engineering (CSCI-B 561, ENGR-E 516, INFO-I 535, or DSCI-D 532)
• 3 credits of Data Visualization and Storytelling (ENGR-E 583, ENGR-E 584, or INFO-I 590 Data Visualization)
• 6 credits of one the following domains
  • Augmented and Virtual Reality (INFO-I 590 Artificial Life in Virtual Reality, Building Virtual Worlds, Creating Virtual Assets, Introduction to Virtual Reality)
  • Data Security and Privacy (INFO-I 520, INFO-I 525, INFO-I 533, INFO-I 538)
  • Economic Data Analytics (ECON-M 504, ECON-M 511, ECON-M 514, ECON-M 518, ECON-M 524)
  • Health and Biomedical Data Science (INFO-I 507, INFO-I 519, INFO-I 529)
  • Human Robotic Interaction (CSCI-B 657, ENGR-E 599 Autonomous Robotics, INFO-I 513, INFO-I 527, INFO-I 540, INFO-I 542)
  • Social Data Science) ENGR-E 583 (may be counted only once), ILS-Z 639, INFO-I 513, INFO-I 590 Data Visualization (may be counted only once), INFO-I 606 (may be counted only once))
• 6 credits of DS (CSCI/ENGR/INFO/ILS/DSCI) 500+ courses, including at most 3 credits of DSCI-D 590 Data Science On-Ramp
• 3 credits of STAT S520 or a more advanced course on statistical theory approved by the DGS
• 3 credits of STAT S610, S611, or S612
• 10 credits of STAT S631, S632, and S690
• 3 credits of a STAT 500+ course
• 12 credits of DS (CSCI/ENGR/INFO/ILS/DSCI) or STAT 500+ courses

Admission Guidelines

Students entering our Dual M.S degree program in Data Science and Applied Statistics program should already have received an offer of admission from the Data Science degree program.

Admission to this program requires that the student be in good academic standing, and has permission from the Data Science Director of Graduate Studies.

Admission Process

1. Meet with the Director of Graduate Studies in the Department of Statistics to discuss your proposed coursework. Bring a copy of the departmental application form with you to the meeting. 
2. Complete the Graduate School application for admission.
   • The online application can be found here.
   • NOTE: Only complete the sections of the online application that are marked with an asterisk.
   • There is a $70 application fee when you submit your application online. If your current program is in the College of Arts and Sciences this fee will be waived (see details here). If your current program is outside the College this fee cannot be waived.
3. Submit the following to statdept@iu.edu:
   • a copy of all non-IU transcript(s) in PDF form;
   • the departmental application *signed by your Director of Graduate Studies and the Director of Graduate Studies for Statistics.

Questions

If you have any questions about the application process please contact statdept@iu.edu or the Director of Graduate Studies.