Do you need a degree to become a data analyst? If so, which one? Learn these answers and more.
Getting an in-demand job as a data analyst often starts with getting the right skills and qualifications. For many, this might mean a degree. Discover whether you need a degree to become a data analyst, which degree to get, and how a higher-level degree could help you advance your career.
Read more: What Does a Data Analyst Do? A Career Guide
Most entry-level data analyst jobs require a bachelor’s degree, according to the US Bureau of Labor Statistics [1]. It’s possible to develop your data analysis skills—and potentially land a job—without a degree. However, earning one gives you a structured way to build skills and network with professionals in the field. You could also find more job opportunities with a degree than without one.
professional certificate
Prepare for a career as a data scientist. Build job-ready skills – and must-have AI skills – for an in-demand career. Earn a credential from IBM. No prior experience required.
4.6
(77,984 ratings)
695,216 already enrolled
Beginner level
Average time: 4 month(s)
Learn at your own pace
Skills you'll build:
Generative AI, Data Science, Model Selection, Data Analysis, Python Programming, Data Visualization, Predictive Modelling, Numpy, Pandas, Dashboards and Charts, dash, Matplotlib, Cloud Databases, Relational Database Management System (RDBMS), SQL, Jupyter notebooks, Machine Learning, Clustering, regression, classification, SciPy and scikit-learn, CRISP-DM, Methodology, Data Mining, Github, Jupyter Notebook, K-Means Clustering, Data Science Methodology, Rstudio, Big Data, Deep Learning, Quering Databases, Data Generation, Career Development, Interviewing Skills, Job Preparation, Resume Building
Not all universities offer a bachelor’s degree in data analytics. So what should you major in if you want to pursue a career as a data analyst? Even if your university doesn’t have this specific degree, it likely offers other majors with overlapping skills.
Explore some degree options that typically teach common data analysis skills. If you’re looking toward a career as a data analyst, these majors could be a good fit.
Data science: In response to the increasing demand for data professionals, more and more schools are offering bachelor’s degrees in data science. In this degree program, you’ll typically take courses in computer science, statistics, and mathematics. Some programs let you specialize in fields like economics, finance, business, or health care.
Computer science: The emphasis on statistical and analytical skills in many computer science programs makes them a good fit for aspiring data analysts. This degree is also widely available. Depending on the program, you might study artificial intelligence concepts, algorithm design, and programming languages that you can use in your future career.
Applied mathematics, or statistics: Traditional mathematics degrees generally prepare learners for careers in academia. Applied mathematics and statistics degrees shift the focus to real-world applications, like helping businesses make data-driven decisions. The curriculum might include other important skills, like programming languages or statistical software packages.
Finance/economics: If you think you might be interested in working as a financial or business analyst, consider getting your degree in finance or economics. Many of these degree programs include coursework in statistics and analysis, and some offer concentrations in business analytics.
Psychology: It might not seem obvious at first glance, but psychologists use data to describe, explain, and even predict human behavior all the time. A Bachelor of Science in Psychology might expose you to math and statistical analysis coursework.
Management information systems (MIS): With this degree, you can get a behind-the-scenes look at databases and how they work. This could prove useful as a data analyst. MIS coursework typically covers topics like database design, data management, and business theory. With some programs, you can specialize in data analytics, business intelligence, or data management.
No matter what you choose to get your degree in, be sure to take classes in statistics, calculus, and linear algebra, as well as some computer science classes that cover database and statistical software. If you already have an industry in mind, it can help to take some industry-specific coursework (finance, health care, or business, for example).
Learn more about earning your bachelor’s degree online on Coursera.
professional certificate
Become a Machine Learning expert. Master the fundamentals of deep learning and break into AI. Recently updated with cutting-edge techniques!
4.9
(135,469 ratings)
904,153 already enrolled
Intermediate level
Average time: 3 month(s)
Learn at your own pace
Skills you'll build:
Recurrent Neural Network, Tensorflow, Convolutional Neural Network, Artificial Neural Network, Transformers, Backpropagation, Python Programming, Deep Learning, Neural Network Architecture, Facial Recognition System, Object Detection and Segmentation, hyperparameter tuning, Mathematical Optimization, Decision-Making, Machine Learning, Inductive Transfer, Multi-Task Learning, Gated Recurrent Unit (GRU), Natural Language Processing, Long Short Term Memory (LSTM), Attention Models
To enter this field without a degree entails developing relevant skills, gaining entry-level work or internship experience, and building a portfolio.
More details here: How to Become a Data Analyst without a Degree
While a bachelor’s degree is the most common entry-level qualification, some companies look for candidates with a master’s degree in data analytics or a related field. According to Zippia, 65 percent of data analysts have a bachelor's degree, while 15 percent have a master's degree [2].
In general, higher-level degrees tend to come with bigger salaries. Zippia also reports that data analyst bachelor's degree holders earn an average of $74,921 per year, while master's degree holders earn $81,723 [2]. That difference translates into $6,802 more each year.
If you’re looking to advance your career in data analytics or move into data science, earning your master’s degree could set you up for success.
Read more: Should You Go Back to School: 7 Things to Consider
Take the next step toward a career in data analysis, no matter where you are in your learning journey:
Build a foundation of job-ready skills with a Professional Certificate in data analytics from industry leaders like Google, Meta, or IBM.
Request more information about earning your data analytics degree online.
Try a popular data analytics course to see for yourself if it’s a good fit.
professional certificate
Prepare for a career as a data scientist. Build job-ready skills – and must-have AI skills – for an in-demand career. Earn a credential from IBM. No prior experience required.
4.6
(77,984 ratings)
695,216 already enrolled
Beginner level
Average time: 4 month(s)
Learn at your own pace
Skills you'll build:
Generative AI, Data Science, Model Selection, Data Analysis, Python Programming, Data Visualization, Predictive Modelling, Numpy, Pandas, Dashboards and Charts, dash, Matplotlib, Cloud Databases, Relational Database Management System (RDBMS), SQL, Jupyter notebooks, Machine Learning, Clustering, regression, classification, SciPy and scikit-learn, CRISP-DM, Methodology, Data Mining, Github, Jupyter Notebook, K-Means Clustering, Data Science Methodology, Rstudio, Big Data, Deep Learning, Quering Databases, Data Generation, Career Development, Interviewing Skills, Job Preparation, Resume Building
US Bureau of Labor Statistics. "Operations Research Analysts, https://www.bls.gov/ooh/math/operations-research-analysts.htm#tab-1." Accessed October 5, 2024.
Zippia. "Data Analyst Education Requirements, https://www.zippia.com/data-analyst-jobs/education/." Accessed October 5, 2024.
Editorial Team
Coursera’s editorial team is comprised of highly experienced professional editors, writers, and fact...
This content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.
Whether you're starting your career or trying to advance to the next level, experts at Google are here to help.
Save money and learn in-demand skills from top companies and organizations at your own pace.