• Students must take an approved online data ethics course, such as the one available at https://www.coursera.org/learn/data-science-ethics.  You should enroll in the “Purchase Course” option in order to receive a certificate.
  • Reimbursement for this course is available.  Please contact Ms. Victoria Danker for forms and information on the reimbursement process.

The following courses are mandated by the Whiting School of Engineering for all graduate students:

Graduate students being paid by certain U.S. government agencies are required to take the in-person version of the Responsible Conduct of Research training.  Please see the WSE RCR website for more information.  It is YOUR responsibility to ensure you take the proper course.  Failure to do so could affect your ability to graduate.

  • Students are required to take EN.553.801 for at least 1 semester.  Students are encouraged to register in multiple semesters.

  • Beginning Fall 2021, all foreign students for whom English is not the first language, will be required to undergo assessment, and possible placement in one or more professional communication courses to help with grammar, pronunciation and idiomatic expression.  More information about ESL courses, can be found on the Center for Leadership Education website.

Minimum Grade Requirements:  A course grade of B- or higher is required to meet all course requirements.

Academic probation:  Any student receiving either one grade of D+, D, or F or two grades of C(+/–) during their program of study will be placed on academic probation. If an additional grade below B– is received before the course(s) is (are) repeated, or replacement courses(*) chosen with the agreement of the faculty advisor are taken, with successful completion in both cases, the student will be subject to dismissal. If the student retakes or replaces the course(s) with a grade of B- or above, the probationary status will be lifted.

(*) Students should be aware that, if a course different from the initial one is chosen as a replacement, the first grade will remain on the academic transcript and will be included in the GPA calculation.

  • Retake policy: Students are allowed to retake a course only once (per course), upon agreement of both the student’s advisor and the course instructor.

Data Science students are encouraged to complete the Program Plan form early in their first semester and meet with their advisor each semester to discuss progress and changes to the proposed plan.

Students will be required to submit a Program Plan signed by the advisor to the Ms. Lisa Wetzelberger (see proper instructions for submission) BEFORE their final semester.

Prior to First Semester: Orientation Program (2 days)
Year 1:  FALL Introduction to Data Science
(4 courses) Computing (Core)
Optimization (Core)
OPTION A Core Area 3
OPTION B Area of Focus 1
Year 1: Intersession Online Data Science Ethics Course
Year 1:  SPRING OPTION A Core Area 4
(4 courses) Statistics
Area of Focus 2
Area of Focus 3
OPTION B Core Area 4
Area of Focus 1
Area of Focus 2
Area of Focus 3 (or Elective)
Year 2:  FALL OR SPRING Capstone Experience
(2 courses) OPTION A Elective
OPTION B Elective (or Area of Focus)

  • Should I wait for my advisor to contact me or should I contact him or her?
    It is up to the student to reach out to their advisors and ask for advice for course selection and other matters. Advisors are, in general, responsive to emails, but it is okay to nudge them if no answer was received after a few days. If the advisor is inaccessible, you should contact Ms. Lisa Wetzelberger for assistance.
  • Are all courses listed in the program available every semester?
    Not necessarily. Students should carefully review the recent history of the classes they are interested in by running a class search on SIS. Students must also be aware that, while classes having been offered in past semesters is often a good indication of their future availability, this is not a guarantee, since changes may occur in departmental programs. It is therefore important to allow some flexibility in course planning.
  • Am I guaranteed to be able to register to any course I am interested in?
    The AMS department is saving some seats in data science class for Data Science Master’s students, and several courses in the Computer Science Department are restricted to graduate students in Computer Science and Data Science. However, for all courses, the number of enrolled students is limited by logistic considerations, such as classroom size and number of available TAs. Data science courses are in high demand, and students may be placed on a wait list (without guarantee to be ultimately able to enroll), especially if they register several days after the opening date.
  • What are my recourses if I am placed on a wait list?
    They are unfortunately limited, but it is always possible to petition the course instructor for admission, especially if this course is the only path to graduation. Adding a student from the wait list to a course is the sole decision of the instructor. In particular, the student’s academic advisor, or the master’s academic staff will not be able to provide much help in this matter. Again, it is important to make sure that the course plan over the typical three semesters of the program includes alternate options in case such a situation occurs.
  • When should I start contacting faculty for the capstone experience?
    The best time should be during the second semester in the program, with a goal to start working on the capstone at or before the beginning of the third semester. It is up to students to reach out to faculty for this purpose. Note that students should not register to 553.806 until their capstone proposal has been accepted.

Next topic>>Capstone Experience