Resources & Forms

For the most up-to-date information on the Data Science program, degree requirements, advising support materials, and resources (e.g., single and double major tracking sheets, flow chart and FAQ), please visit our “Data Science Undergraduate Advising” Canvas page.

If you're a WPI undergraduate student and are interested in completing a Data Science minor, please visit our website for access to the minor forms, curriculum information, and next steps. 

The DS minor declaration and completion can now be done in Workday. You can visit the "Student Program of Study" article and follow the outlined procedures to declare your DS minor. Please note, if you are a student worker (work-study), you need to follow the instructions as outlined on The Hub to reach your student profile before you declare your major as outlined in the student program of study article linked above.  

If you have questions about this process, please contact us at gr-ds-minor-advisor@wpi.edu or stop by our office in Unity Hall, room 366 so we can assist you with this process. 

For the most up-to-date information on the Data Science program, degree requirements, advising support materials, and resources (e.g., single and double major tracking sheets, flow chart and FAQ), please visit our "Data Science Graduate Advising" Canvas page. 

DATA SCIENCE FORMS ARE NOW SUBMITTED DIGITALLY!

Log on here to submit the Plan of Study and Petitions | https://ds-grads.wpi.edu

Need assistance? Check out our User Manual | USER MANUAL

Have additional questions? Contact us at datascience@wpi.edu

All WPI Graduate Forms (MS & Ph.D.) can be found on Registrar's website.

For the most up-to-date information on the Data Science program, degree requirements, advising support materials, and resources (e.g., single and double major tracking sheets, flow chart and FAQ), please visit our "Data Science Graduate Advising" Canvas page. 

DATA SCIENCE FORMS ARE NOW SUBMITTED DIGITALLY!

Log on here to submit the Plan of Study and Petitions | https://ds-grads.wpi.edu

Need assistance? Check out our User Manual | USER MANUAL

Have additional questions? Contact us at datascience@wpi.edu

All WPI Graduate Forms (MS & Ph.D.) can be found on Registrar's website.

All DS Graduate Students | Graduate internship experiences may be completed by Masters and Doctoral students at WPI in order to enhance their professional development and career readiness. The graduate internship is a short term and temporary work assignment in residence at a company or other external organization that forms a complementary part of a student’s educational program. Graduate students must complete a registration form and gain proper approvals to participate in an internship. The internship experience will appear on the student’s transcript with a minimum of 0 credits and a maximum of 3 credits (as determined by the department/program).

Whether you are a domestic graduate student or international graduate student, please visit the "Graduate Internships" Guidelines website to learn more about the policies, requirements, and access additional resources. 

WPI’s Data Science program is a Science, Technology, Engineering, and Mathematics (STEM)-designated degree program. Its Classification of Instructional Programs (CIP) Code is 30.0801, indicating it has a Mathematics and Computer Science focus. This qualifies it as a STEM program by the United States Department of Homeland Security (DHS) STEM-designated degree programs. View the STEM degree program list here (PDF).  

The U.S. government has recognized the importance of STEM education by offering certain privileges for STEM degree recipients. These include, for example, the 17-months extension of Optional Practical Training (OPT) for STEM degree holders from the usual 12 months of Optional Practical Training to 29 months for qualified F-1 non-immigrant visa holder. Learn more about the program here.

Through our campus-wide data science initiative, you will be able to tap into the resources of multiple departments. You will have access to state-of-the-art data science software programs as part of your class-work, projects, or research projects, such as: