Neither a Computer Science degree nor a Data Science degree is inherently better than the other. The best choice largely depends on your career goals and interests. Computer Science is a broad field that provides foundational knowledge in areas such as algorithms, data structures, software design, and computational theory. This makes a CS degree more versatile. It also gives opportunities to specialize in a wide variety of areas within computing, from artificial intelligence to systems architecture. On the other hand, a Data Science degree focuses on extracting insights from large volumes of data. You'll learn statistical and computational methods, data visualization, machine learning, predictive modeling, and related areas. This is ideal if you're interested in roles like Data Analyst, Data Scientist, or Machine Learning Engineer. Professionally, both degrees can lead to high paying jobs and have a high demand in the current job market. However, do note that many CS programs are richer in their offerings simply because the discipline has been around longer. Before choosing one over the other, consider whether you are more interested in broad computing principles or in the specialized task of making large-scale data informative and actionable. Look into the curriculum of specific programs, talk to professionals in the field and consider your long-term career goals. Work experience, personal projects and continuous learning are also key components of success in both fields.