I made an account just for you :) My opinion is: don't drop out.
1. The degree is useful. Having a Bachelor's opens up a lot of career paths because it shows that you committed to the Data Analytics program for four years. It also helps HR check off the "has a bachelor's" item on their list.
2. What you learn is useful. At the end of the day, you will be responsible for the code that the AI produces. How will you understand, explain, and justify your code to your colleagues and managers? "SQL, Python, JavaScript" and "theoretical Data Analytics knowledge" are both tools that will help you.
3. So far, senior engineers tend to have the most productivity boosts with AI. These engineers became "senior" before AI coding agents became mainstream, which means they know how to program. So based on this pattern, if you know how to program, then you will benefit more from AI.
Maybe you have other factors you are considering (e.g. money). My response is primarily based on the "existence of AI coding agents in the industry" factor.
1. The degree is useful. Having a Bachelor's opens up a lot of career paths because it shows that you committed to the Data Analytics program for four years. It also helps HR check off the "has a bachelor's" item on their list.
2. What you learn is useful. At the end of the day, you will be responsible for the code that the AI produces. How will you understand, explain, and justify your code to your colleagues and managers? "SQL, Python, JavaScript" and "theoretical Data Analytics knowledge" are both tools that will help you.
3. So far, senior engineers tend to have the most productivity boosts with AI. These engineers became "senior" before AI coding agents became mainstream, which means they know how to program. So based on this pattern, if you know how to program, then you will benefit more from AI.
Maybe you have other factors you are considering (e.g. money). My response is primarily based on the "existence of AI coding agents in the industry" factor.