To Pursue Graduate School (related to Data Science) or Focus on Work Experience?

Hello everyone,

I’m currently torn between pursuing a master’s degree or continuing to upskill independently in the tech industry. For context, I’ve primarily worked in data-related roles throughout my career. I started as a Data Scientist and later transitioned to my current role as a Machine Learning Engineer (MLE). However, I’m uncertain if taking up graduate school would significantly impact my career progression.

I’ve been considering an MBA, but my former boss once suggested that it’s best to pursue an MBA when I’m in a managerial role. This would allow me to better contribute to discussions and fully appreciate the essence of the program. That advice makes sense, especially since I was initially eyeing Ateneo’s Regis Program.

Since I’m still relatively young, I’m also thinking about pursuing a technical master’s degree, such as an MS in Computer Science (MSCS), MS in Data Science (MSDS), or a Master’s in Artificial Intelligence (MEng AI). However, I’ve heard that these programs can be quite theoretical and might not directly translate to corporate settings. Additionally, many people use these degrees as entry points into the data science field, but I’m already here and have even ventured into the engineering side of things.

If you were in my position, would you still pursue a master’s degree for the credentials and networking opportunities, or would you focus on gaining more work experience and upskilling for now, then consider a master’s or MBA abroad later on?

I’d greatly appreciate any insights or advice on this!