Data Science

It will take several years to learn math and statistics including linear algebra, probability theory, inference, stochastic modeling. Then you can start with ML,DL,LLM,etc.

Studying Data Science has been both challenging and rewarding. One of the most exciting aspects of this major is learning how to apply mathematical and statistical concepts to real-world problems. The coursework can be demanding, especially when it comes to programming, probability, and machine learning, but seeing these concepts come together in research projects makes the effort worthwhile. Through my research experiences, I’ve learned that Data Science is not just about building models, but also about asking meaningful questions, understanding data, and interpreting results critically. My advice to prospective students is to build a strong foundation in mathematics and programming, stay curious, and seek out research or hands-on opportunities early.

The major has extensive support from both faculty and student organizations. The Data Science student organization (Data Science & Informatics) at the University of Florida is among the biggest communities in the nation and has supported hundreds of students.

Data Science was extremely interesting and the people were always very friendly and helpful at the University of Florida. There are not that many Data Science majors compared to CS, so it felt like a very close community, especially with clubs like Data Science & Informatics.

I love data science and all its applications, especially in computing or other related fields but the theory behind the heavier statistics concepts can be a little hard to understand.

I'm an Informatics major at the University of Washington with a concentration in data science. I would not recommend pursuing informatics unless you are very self driven and already know what you're doing. Data science is a saturated field with limited job prospects. I have switched to software engineering and pursue data science for fun.

Lots in stats related content, less hardcore calculus-like material.

I love the analytical rigor of the data science major and the coding skills we get to learn.

less pure coding, more interesting to me personally!

It’s a good major but just didn’t work out for me cuz I decided that I don’t like analytics role. I’m leaning towards people roles in startup which doesn’t really benefits from my curriculum or degree.

It’s pretty cool. Awesome faculty and a great community. A little bit R focused than python but it’s easy to pick up

I wish I had known about ensured enrollment when applying.

Data science can be a really broad term and extend into a lot of areas of life, theres a place for it if you have some strong domain interest or like working with data.

Data Science is fun where we get to solve the real world problems using data science/analysis techniques. It’s relevant to our community and is rewarding after graduation.

I like using data to build predictive models and discover patterns in data