In 2025, a PhD in data science doesn’t just boost your salary — it can define your career path. As AI, analytics, and automation reshape the job market, data scientists with doctorates are earning top-tier salaries across research, academia, and private industry.
In fact, 55% of data scientists hold a master’s degree, while 21.7% has a PhD degree. Similarly, for many experienced FAANG data science jobs, a PhD is a preferred or required qualification.
Breaking down the Ph.D. in data science salary for 2025, we see results in a significant salary bump:
If you’re contemplating if a data science PhD is worth it, you’ll likely recoup costs in yearly salary. Yet, there are additional advantages to pursuing a PhD, including advanced domain knowledge and research expertise.
A Ph.D. in data science often results in some of the best-starting wages in tech. Here’s a comparison of data science salaries for PhDs vs. master’s degree holders:
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In the top 75% of earners, the wage gap decreases to $140,000 (master’s) vs $150,000 (PhD).
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In the top 75% of earners, the wage gap increases for more senior-level jobs, from $160,000 (master’s) to $189,000 (PhD).
In 2025, the rise of AI-driven companies has increased demand for researchers and advanced analytics specialists. However, many employers now value applied research skills and project experience as much as academic credentials.
Here are some factors why a Ph.D. in Data Science may be worth it:
Data science PhD programs have become more and more common over the last five years. These programs offer highly specialized knowledge, and as a result, PhDs who specialize in data science can expect a significant earnings increase and will always be competitive for jobs, including senior-level management positions.
Yet, although career earnings might be more and the fact these programs can provide a competitive edge, there are some considerations that can make the decision less clear. They include:
Ultimately, the worth of a data science PhD comes down to the type of work that you want to do. If you have an interest in research, you might consider a PhD.
Traditionally, those interested in a PhD for a data science career, choose a quantitative discipline, and in 2025, the most common were:
Specific data science PhD programs are relatively new. For example, NYU launched its PhD program in 2017.
Therefore, there isn’t much data about salaries of data science PhDs vs economics PhD salaries, for instance. But these programs do offer some advantages, including highly specialized domain knowledge (like machine learning, causal inference or advanced analytics) and potential more established career networks.
Ultimately, no matter the field you choose, a PhD offers advanced training that results in a significant increase in salary, job competitiveness in the industry, and specialized knowledge at the forefront of data science.
Other top PhD fields for data science include statistics PhDs and decision science PhDs.
No, but PhDs often qualify for research and leadership roles that pay more.
AI and computer science PhDs typically yield the highest compensation.
A PhD in Data Science can unlock higher salaries and research-driven roles, but its value depends on your goals. If you’re aiming for cutting-edge AI or analytics work, the investment pays off.
To explore real-world interview questions for PhD-level roles, check out Interview Query’s Data Science Interview Question Bank.
You can also check out our following resources: