The Honor Code is a set of guidelines for maintaining respectful and professional communications in an online setting. All students enrolled in Data Science classes are required to adhere to it at all times. As a student in the Data Science program, you are held to a high standard of professionalism in your communications with your instructor, your fellow classmates, and staff.
The purpose of the Honor Code is to ensure that students in the Data Science program are aware of their rights and responsibilities as online learners. It is to the benefit of all students and faculty to engage in respectful and open communication based on clear, reasonable parameters.
The Honor Code can be found in the Student Resource Lounge at any time. You are also welcome to contact your Success Coach if you’d like a copy emailed to you.
Due to the collaborative online nature of the Data Science program, on campus bookstores do not stock the materials required for Data Science courses. The UW Extended Campus Bookstore, powered by eFollett, offers the required course materials for your Data Science classes. Purchasing books through eFollett will ensure that you receive the correct editions of the selected books for your classes.
Each semester, Data Science students work with their academic advisors and the student services team to determine a plan for the upcoming term. In the Student Resource Lounge, Data Science students will find information on the registration process, links to helpful sites, and can connect directly with their Success Coach for assistance with the registration process. Access the permission number site.
Students with documented disabilities have the right to request information and necessary accommodations from their University, as stipulated within Section 504 of the Rehabilitation Act and the Americans with Disabilities Act. Students interested in requesting academic accommodations must contact the Accessibility Services office at their home campus to begin the application process. The student services team is happy to serve as a liaison in connecting students to their home campus resources.
Learning Support Resources
Being a student can be a lot to manage. As a Data Science student, you will have access to a wide range of learning support resources to assist as you navigate through the program.
This includes information about writing papers and citing sources through the Online Writing Lab , test taking strategies and study tips, time management skills, and program information. Students also can connect with their home campus libraries for assistance with research projects and expert advice from the library staff.
Looking for some assistance in managing your time? The MSDS Time Management Calculator will help you get started! The Time Management Calculator is an interactive tool that will illustrate how you currently allocate responsibilities in a typical week.
As part of the student success team, we are happy to have a conversation with you about strategies to find a better life balance as you move through your Data Science courses.
Who better understands the student experience than students themselves? Program students have the opportunity to establish peer to peer relationships through the use of course discussion boards and interactions in the Student Resource Lounge. Informal mentoring allows students to build collaborative relationships to gain valuable experience, provide support to one another, and navigate the program.
Meet Your Success Coach
Why I chose a career in student affairs As a college student, I relied heavily on the guidance I received from advisers and other personnel around campus. I noticed how much my experience in school was enhanced from the outstanding support I received. I chose a career in Student Affairs because I wanted to be
Need 1:1 Help?
Success Coaches are skilled professionals who are available to help you navigate through your academic journey. Meet our team of dedicated coaches.
If you would prefer that we call you, send an email with your phone number and the best time to reach you.
Monday through Thursday:
8 a.m. to 6 p.m. CT
8 a.m. to 4:30 p.m. CT