FAQ: Waitlists in Comp Sci

If a course is full, the course will show “available waitlist seats”.

If a course is full, you will have to enroll into the waitlist of the course. As CS processes waitlists, open course seats will be given to students on the waitlist. If you enroll or try to swap into a course that is waitlisted with available seats, you will be placed on the waitlist.

When are seats given away?

Daily waitlist processing will start Thursday, November 30. We will process waitlists daily until Wednesday, December 13. If you are on a waitlist, make sure to check your @wisc.edu email address for any notices regarding enrollment.

During Finals through the middle of Winter Break, CS will process waitlists 2x a week (check your emails on Tuesdays and Fridays).

CS will go back to processing waitlists daily starting Tuesday, January 16.

How do I enroll?

You will not be automatically enrolled in the course – you must take action and enroll through the enroll app. The waitlist invites expire after 24 – 48 hours, so make sure to enroll right away.

What if I absolutely need this course?

Please work with your CS advisor. Advisors cannot let you off a waitlist in appointments but can discuss options with you.

Spring 24: Peer Mentor Positions in Comp Sci

Computer Sciences opened our Fall 23- Spring 24 interest collection process for undergraduate students interested in working as a Peer Mentor.

Find more information about this role and the link to submit your interest form at our newly launched CS Jobs within the CS Department website.

Requesting Graduate Courses

Undergraduates who would like to request enrollment into a Graduate course will need to fill out the request form HERE. We can make a note once you have submitted the form that the professor has given their approval.

Please be aware that the CS Department will allow Graduate students to enroll first. If seats are still available, we will start processing Undergraduate requests in January. We advise students to always fill their schedules with open, available courses as we cannot guarantee enrollment into a Graduate course.

Share Your Voice and Improve Your Student Experience!

CS Curricular Practical Training (CPT) Lunch and Learn

Tues, Nov. 28: 11:00 am-12:00 pm, CS Building, Rm 1240

dotData Events + Opportunities

NEXT EVENT: Wednesday, November 29 @ 6:00 pm, CS Building: Rm 1240

This Week: Workshop with WPS

Date: Wednesday, Nov. 29th at 6pm

Location: Computer Sciences 1240

Join us for a meeting with WPS where Ryan Zea, the Director of Emerging Technology, will talk about topics within Data Science and WPS’s work. 

Food will be provided.

Next Week: Text Mining Workshop

Date: Wednesday, Dec. 6th at 6pm

Location: Computer Sciences 1240

Professor Enright of LIS 501 (Intro to Text Mining) will host an interactive text mining / web scraping workshop! Please bring a laptop; food will be provided.

MadData24 Social Media Committee

We are currently recruiting members for the Social Media committee for MadData24! This is a great resume-building experience of helping plan and execute a data-based hackathon. Apply now!

WQCC: Quantum Hardware Systems Discussion

Thursday, Nov. 30: 7:00 pm - 8:00 pm, CS Building, Rm 1240

Plus One Pathway (POP) to Professional Master's

MS Statistics, Statistics and Data Science (MSDS) Information Session

Tue, Dec 5 / 4-5 PM / Medical Sciences Center Room 1210 (1300 University Ave)

MS Statistics, Statistics and Data Science (MSDS) Information Session

Tue, Dec 5 / 4-5 PM / Medical Sciences Center Room 1210 (1300 University Ave)

RSVP by Mon, Dec 4 at 11:59pm central time at https://go.wisc.edu/435t34 

Program Description: Combines a background in statistical theory, methods, and practice related to data science. Graduates will build data analytic reasoning and communication skills in realistic inter-professional strategic planning settings that involve making sense of complex data to realize organizational objectives. Median time to degree is two years; UW-Madison alumni can pursue the one-year option. Visit our website at https://stat.wisc.edu/graduate-admissions/data-science-option/ to learn more.

MS Data Science (MDS) Information Session

Thu, Dec 7 / 4-5 PM / Medical Sciences Center Room 1210 (1300 University Ave)

MS Data Science (MDS) Information Session

Thu, Dec 7 / 4-5 PM / Medical Sciences Center Room 1210 (1300 University Ave)

RSVP by Mon, Dec 4 at 11:59pm central time at https://go.wisc.edu/9s228n 

Program Description: Focuses on the computer science and statistical elements of data science with an emphasis on machine learning. Graduates can seek employment as data analysts and data scientists, or pursue further education in data science, statistics, computer science, or related quantitative and computational fields. Median time to degree is two years. Visit our website at https://stat.wisc.edu/graduate-admissions/ms-datascience/ to learn more.

International Internship in Japan with Tatsuno

Apply by Monday, November 27, 2023

Tatsuno Corporation produced the first gasoline dispenser in Japan in 1919. Since then, the company has grown with the spread of cars and the motorization of society offering safe and environmentally-friendly fueling solutions. They manufacture fuel dispensers and other solutions to retail commercial fueling customers all around the world. 

The intern will spend about six weeks interning in either Production or R&D learning about manufacturing management: 

• Engage in various aspects of the manufacturing process such as manufacturing technology, production planning, product manufacturing and assembly, quality control, etc.
• Intern will be hosted in either the R&D Department or the Production Department. R&D involves researching new technology and products including making drawings. Production intern will learn about the standard Japanese production system for products for customers.

This internship requires enrollment in the Worldwide Internship Program, which includes an online international internship course. Students in the program will need to pay a study abroad fee based on residency.

For More Information: Click Here

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Computer Sciences Undergraduate Program