Data Science Degrees

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Why earn a degree in data science?

When you major in data science for your bachelor’s degree or choose to pursue a master’s degree in data science, you can expect to take courses in databases and information systems, data mining, data visualization, AI and machine learning, security, and much more. What’s more, when you enroll in a data science degree program at either the undergraduate or graduate level, you’ll get an opportunity to build and strengthen several key skills important for working with data, such as programming, statistics, database management, data visualization, and machine learning, among others.

A data science degree is a foundational credential that can lead to a number of career options. Between your subject knowledge and skills development, you can explore traditional data roles, like data analyst or data engineer, or pursue a career in machine learning, game development, or marketing. Learn more about what you can do with your degree after graduating.

Data scientists are one of the fastest-growing occupations, with a projected 36% job growth from 2021 to 2031, according to the Bureau of Labor Statistics.

Benefits of getting a data science degree on Coursera

Designed to fit your schedule

All online degree programs are flexible, meaning you can complete coursework at your own pace while balancing your work and personal commitments.

Access world-class universities

Find affordable degree programs from an array of accredited universities. Learn from distinguished faculty and industry experts passionate about helping you achieve your goals.

Build in-demand job skills

Get job-ready with degree programs designed to develop real-world skills through hands-on learning experiences and industry partnerships.

Grow your network

Become part of a global learning community and establish strong relationships that can open new and unexpected opportunities throughout your career.

What do data science students have to say?

Find helpful articles related to data science degrees

While it's not always necessary to hold a master's in data science, earning an advanced degree does feature several benefits. Learn more about whether it's right for you.

Data science professionals continue to be in demand. Learn more about the type of salary you may be able to earn after graduating with your master's in data science.

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Learn how your location, education, industry, and experience can play a role in how much you can earn as a data scientist.

Frequently asked questions

A bachelor's degree in data science is an undergraduate program that combines concepts from computer science, statistics, data science, and more. You may either find specific bachelor’s degrees in this major or choose the subject as a concentration when earning your bachelor’s degree in computer science.

Studying data science is an opportunity to develop an array of skills, including programming, data visualization, critical thinking, and communication, all of which can lead to in-demand careers across industries.

A master's degree in data science is a newer graduate program that integrates fundamentals from computer science, probability and statistics, machine learning, and data visualization, among other subjects. In a data science master’s program, you’ll build key skills in areas such as machine learning, data mining and data visualization, and cloud computing, alongside critical thinking, problem-solving, and communication. Learn more about whether a master’s in data science is worth it and the types of roles you can pursue with the degree.

On Coursera, you’ll find online data science degrees at both the undergraduate and graduate level. To figure out which one might be best for you, it helps to first understand why you want to earn a degree and what you hope to get out of your education.

Beyond your larger goals, consider what you’ll learn and how you’ll learn it, as those factors can be important when it comes to determining the best program for you. Take time to review the various business degree options on Coursera, paying particular attention to the “Academics” and “Student experience” sections for more information.