UIUC Data Science Acceptance Rate - What is it?

I'm considering applying to the UIUC Data Science program and I'm curious about how competitive it is. Does anyone know the acceptance rate for the Data Science program at UIUC? Any idea about what they look for in applicants?

The University of Illinois at Urbana-Champaign (UIUC) is transparent about its general acceptance rates, but it is necessary to mention that it often doesn't publicize acceptance rates for specific programs such as the Data Science major. Despite this, we know that UIUC's Data Science program is highly competitive and well-regarded nationally.

While not directly answering your question on acceptance rates, here are some insights into what the admission committee might look for in applicants based on UIUC's general approach to admissions. They likely evaluate candidates based on the following:

1. Academic Performance: A strong grade point average (GPA), especially in math and science courses, which are significant for a data science application.

2. Exam Scores: Although many institutions have incorporated a test-optional policy due to COVID-19, if you decide to submit your test scores, competitive SAT or ACT scores could strengthen your application.

3. Course Rigor: The selection of rigorous courses such as AP or IB classes in related subjects is relevant. Doing well in these courses indicates a strong academic foundation.

4. Relevant Extracurriculars: Participation in math clubs, programming clubs, or other similar activities could demonstrate your interest and competency in the field of data science.

5. Essay: A compelling essay that ties in well with your passion for data science could be particularly persuasive.

6. Recommendations: Letters from teachers or individuals who can speak to your abilities and interest in data science.

Remember, though, this is primarily speculative based on widely accepted admission standards across universities for competitive programs. For the most precise information, reaching out directly to UIUC admissions or a professor in the Data Science department might be helpful.