I recently graduated with a bachelor’s in Data Science and a concentration in Business Analytics, but I’m struggling to land a job in the AI/ML industry. Despite applying nonstop and having a few interviews, I haven’t had any luck. It’s frustrating, especially when I know I have the skills and passion for the field.
So, I’ve been thinking about getting my master’s degree in either Data Science or Computer Science. But the question is, is it worth it?
## Why I’m Considering a Master’s
I don’t have any prior professional experience, not even internships. I’m worried that my lack of experience is what’s holding me back from getting hired. A master’s degree could be the key to getting my foot in the door.
## But is it Really Necessary?
On the other hand, I’ve heard that experience is more valuable than education in the AI/ML industry. If I spend another two years studying, will it really make a difference in my job prospects?
## Weighing the Pros and Cons
- **Pros**: A master's degree could give me an edge over other applicants, especially if I'm competing against more experienced candidates. It could also provide me with advanced knowledge and skills in AI/ML that would make me a more competitive candidate.
- **Cons**: It's a significant investment of time and money. I'll be taking on more debt and delaying my entry into the workforce.## What Do You Think?
If you’re in a similar situation, I’d love to hear your thoughts. Did you get a master’s degree? Was it worth it for you? Share your experiences and advice in the comments below.
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*Further reading: [Should I Get a Master’s in Data Science?](https://www.kdnuggets.com/2020/07/should-i-get-masters-data-science.html)*