Students are increasingly focused on data-driven skills as technology develops. While a bachelor’s is the minimum requirement for entry into this field, specialized degrees can help students develop the skills needed to succeed in the field.

These specializations can help you build critical analytical and problem-solving skills whether you’d like to become a statistician geologist. Some of the top institutions for these degrees are Harvard, Northwestern and the University of Maryland.

A bachelor’s degree in statistics is the ideal degree for future data scientists, as it helps them create knowledge from data and take actions that are rational. The courses span from introductory calculus and statistics, to advanced programming statistics, statistical machine-learning and data analytics. Students also learn to communicate their findings in a manner that can be understood by non-scientists.

This interdisciplinary program at Bryant University helps students find solutions to real-world problems by analyzing data. Students complete a 122 credit program which includes classes in statistics and programming, along with artificial intelligence, big data/predictive analysis and the capstone. The program is offered online or in hybrid format, which allows students to work full time while completing their course work.

This interdisciplinary degree offered by Northwest Missouri State University teaches graduates how to transform big data into information businesses can use to make progress. Students can choose an emphasis in computer science, geographical information systems molecular biology, business, or, and are taught how to translate a vast array of data into practical, innovative solutions for their field of study.