Become a Data Scientist
Students studying to get their degree in Data Science will gain the skills necessary to program, visualize, and interpret data. Students will be prepared for this rapidly expanding field by taking relevant courses, like statistics and data warehousing.
"BYU-I’s data science program is business relevant. My employer was impressed that I had started learning the Python, R, and SQL languages for applications with statistics and machine learning methods. Also, the project-based classes gave me a mindset for innovation, personal learning, and actionable presentation. Thanks, BYU-I!"
ANDREW W., BYU-I GRADUATE
A data scientist translates industry-specific needs into a data question, creates predictive models to answer questions, and provide clear insights into the findings for actionable business decisions. Data scientists are the bridge between the programming and implementation of data science, the theory of data science, and the business implications of data.
A data analyst uses data to provide reports and visuals to explain data-driven insights. Data analysts help people from across the company understand specific queries with charts, and they need a solid grasp of data manipulation and data communication.
A business analyst is a type of data analyst that is more concerned with the business implications of data and the actions that should result. Business analysts work more directly within different business sections of a company and may not be in a group with other business analysts and are interested in questions like, "Should the company invest more in project X or project Y?"
Getting Started in This Degree
If you are interested in Data Science, start with one of the following major-specific courses:
Students learn to apply mathematical and statistical principles to understand and draw conclusions from real-world data. This emphasis provides a strong foundation for solving problems in business, industry, and government or continuing to graduate school in statistics.
Mathematics is the language physicists use to describe physical laws and to make predictions based on those laws. Mathematics is very extensively used in every area of physics. If you do not know which emphasis area best meets your goals, the mathematical emphasis is a good default.