Quick Highlights:
- A bachelor’s degree in data science is typically required for entry-level positions, while a master’s degree may be necessary for top positions and can significantly increase salary potential.
- Prospective data science students should focus on advanced mathematics, computer programming, and completing data science projects to prepare for their degree programs.
- Data scientists enjoy high salaries, with entry-level positions offering around $122,954 annually, and the field is projected to grow by 35% from 2022 to 2032.
- Data science offers exciting opportunities in various industries, the ability to work remotely, and the potential to contribute to significant projects like cancer research and environmental sustainability.
Which degree is best for data science? The answer to this question depends on where you want to work and what kind of career you want. A data science bachelor’s degree is often required for entry-level positions, but you may be able to find low-level jobs that only require a certification. For the top positions, you may be required to have a data science master’s degree.
While you may not need an advanced degree to get a job in the industry, your data science salary will typically increase if you have more experience and education in the field. To prepare for your degree program, you can start by taking a data science course. Completing data science projects, learning advanced mathematics, and taking computer programming can also help you prepare for a data science degree.
To successfully prepare for a Data Science degree, focus on three primary pillars: Mathematical Foundations (Linear Algebra, Calculus, and Statistics), Programming Proficiency (Python or R, and SQL), and Project Documentation. Prospective students should strengthen their multivariable calculus and probability theory, as these are the “engine” behind machine learning. Additionally, building a GitHub portfolio that showcases “clean” data wrangling and exploratory data analysis (EDA) provides the technical proof required for competitive admissions.
Related:
- Five High-Paying Jobs You Can Get with a Master’s in Data Science
- Best Online Master’s in Data Science
- Top Bachelors Programs for Data Science
- Best Computer Science Masters Programs
The Advantages of Getting a Data Science Degree
People want a data science bachelor’s degree or master’s degree for a variety of reasons. Sometimes, students pursue this academic field because they love data science and computers. Other individuals are drawn to the data science salary and on-the-job perks.
Admissions Insider Note: “In 2026, we are seeing a ‘Math Gap.’ Many applicants can import a machine learning library in Python but fail the technical interview because they can’t explain the partial derivatives in backpropagation. To truly prepare, don’t just learn to code—learn the ‘Why’ behind the algorithm. If you can explain the ‘Loss Function’ mathematically, you are in the top 5% of applicants.”
Pro Tip (The ‘GitHub’ Gold Standard): “Don’t just upload code to GitHub; write for humans. A top-tier preparation strategy includes writing detailed README files. Explain the ‘Business Problem,’ your ‘Data Cleanin