Graduate

Information For Current Students

Early Registration

Returning residential and online students are assigned an "Enrollment Date" in One.IU. New students will register during the Open Enrollment period starting November 21st. International students will register during the International student orientation period. Nine credit hours (three 3 credit hour classes) is considered full-time for graduate students. Plan for about nine hours of homework per week each 3 credit hour class.

Registration instructions

Drop/Add Classes

Late Registration Instructions - after 1st week of classes

Information for New Students

Orientation is an important part of your academic program. If you have any questions about orientation or the graduate programs at IU, send an email (datasci@indiana.edu), call (812)856-5953, or stop by the Data Science Graduate Office (711 N Park Ave).

If an extreme situation prevents you from attending the entire New Student Orientation, contact the Data Science Graduate Office immediately to ask about your options and the repercussions of missing part of Orientation.

Internship & Curriculum Practical Training (CPT)

The Data Science program believes practical training opportunities can provide valuable experience by refining and adding to the skills you are learning within the current curricula. As many of you pursue available opportunities, our office would like to reaffirm some very important information!

To clarify, in order to be eligible for CPT authorization, you must meet all of the following criteria for eligibility:

  • You are a full-time student for at least one full academic year (excludes summer terms).
  • You have F-1 status.
  • You have an offer letter outlining the training opportunity integral to your Data Science curriculum.
  • You will register for an appropriate course that covers the duration of the training that you seek.

  Effective August 1, 2016 for all students – the opportunity must be taken for credit (1-3 credits). Per OIS policy, you must be on the Bloomington campus the semester in which you complete your degree requirements – no exceptions.

o   The number of credit hours will be dependent on the number of on-site hours worked. For every 160 credit hours worked, you will be authorized for 1 credit hour of Graduate Internship. You will not be granted more than 3 credit hours of internship credit for the experience.  

Please be mindful of your ethical obligations as a student and future employee as you apply and interview for these opportunities. When you are presented with offers, you may accept only one offer from one employer. Accepting an offer after you have already accepted an offer with a different employer is defined as “reneging” and is considered dishonest, unprofessional, and unethical. Reneging on a job offer is unacceptable and not only damages your personal credibility and professional reputation, but also reflects badly on the School of Informatics and Computing and further jeopardizes opportunities for future Data Science students.

After you receive an offer letter, please ensure the following information is provided on official company letterhead:

  • The specific start date with the phrase "or date of authorization
    • For example: "The candidate will begin the training opportunity on May 6, 2017, or date of authorization, whichever is later."
  • The specific end date for training
  • The number of hours you will train per week. It will not be sufficient for the letter to state “part-time” or “full-time.” The number of hours per week has to be provided.
  • The physical location (street address, city, state, and ZIP code) where the training will be conducted. P.O. boxes are not accepted for this requirement.
  • A detailed description of the duties entailed in your training

You will be responsible for notifying the Data Science Graduate Office after you have received this offer letter. Our graduate office will then review your email request for CPT authorization, request you to submit the Graduate Internship Form (see below), and provide guidance on the appropriate course for enrollment. Keep in mind the credit hours are unique to each student’s situation. We will then ask you to complete the following OIS processes.

Upload your Offer Letter in iStart

  • Read and follow instructions carefully when uploading your letter. When OIS approve the offer letter they will notify you by email with instructions for completing the Academic Advisor Form.

Complete the Academic Advisor Verification Form in iStart

  • Report Kayla Scroggins (knscrogg@indiana.edu) as the Academic Advisor for this process, as she is the point of contact for any OIS-related communications.

Important points to remember:

  • The approval process cannot be rushed or completed out of order. Your completed application for CPT needs to be submitted to OIS in iStart at least two weeks before the employment is expected to begin.
  • Employment must not begin until the date authorized on the I-20 issued by OIS.
  • Students are required to review the guidelines from SoIC Career Services found here: http://www.soic.indiana.edu/career/students/recruiting-guidelines.html

Upon successful completion of your internship, students are required to provide the Faculty member on file (Professor Wild or Professor Ding) a report detailing their experience throughout the term. An exit letter – a formal letter from the employer stating the terms of employment or internship were satisfactorily completed – must also be submitted with the report. If either portion is not received, an incomplete “I” grade will be posted.

Upon successful completion of your internship, students are required to provide the Faculty member on file (Professor Wild or Professor Ding) a report detailing their experience throughout the term. An exit letter – a formal letter from the employer stating the terms of employment or internship were satisfactorily completed – must also be submitted with the report. If either portion is not received, an incomplete “I” grade will be posted.

Please find the Graduate Internship form here.