Like many terms in this industry, data science and data analytics are closely related and can overlap, but they do have distinct differences. Data science is a broader field (that actually can encompass data analytics) which requires a knowledge of math, advanced statistics, predictive modeling, machine learning, and programming. It is multi-disciplinary and focuses on making connections, predicting outcomes, and uncovering new hypotheses within and between datasets. Those who earn a master’s in data science are poised to become successful as an applications architect, business intelligence developer, machine learning engineer, or statistician. Data analytics, on the other hand, involves a closer, usually historical view of data to derive insights and inform business decisions. If you want to earn a master’s degree in data analytics, you should have a strong background in statistics, databases, and modeling. With these skills, you’ll excel as a senior data analyst, database administrator, or consultant.