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What can data science and analytics do for you?
Learn how to automatically extract implicit, previously unknown and potentially useful information from large data that are generated in commerce, science, and other areas.
If you want learn to analyze large data sets, our data science/analytics minor is for you.
Become comfortable with processing vast quantities of information and interpreting the patterns from the data and you will be competitive in this emerging field.
Data is more than numbers. Data involves trends and possibilities, likelihoods and hidden gems of information. But in most of the world's industries, data is a raw commodity with untapped potential.
If solving puzzles and finding patterns interests you, Susquehanna has four words for you—Data Science & Analytics minor—and you can be in on cutting-edge career options.
Data science analyzes and extracts known and unknown patterns, connections and structures from extremely large and unstructured data using methods from statistics, mathematics and computer science. Information extracted from raw data helps businesses, governments, industries and individuals make decisions in exciting new ways.
Data science and analytics is a new field of study that can teach you how to sift through terabytes of information housed by telecommunications, banking, pharmaceutical and package shipping industries to identify trends and learn new patterns.
Susquehanna is one of just a few liberal arts and science universities in the nation to offer this type of program, which can also be applied for uses in biology, bioinformatics, medical informatics, business management, meteorology, astronomy, social sciences, sports and humanities.
The possibilities are endless, and the demand is high for employees who can interpret these patterns to produce new and potentially useful knowledge. Take advantage of your love of numbers and prepare for a rewarding career.
Minor in Data Science/Analytics. The minor in data science/analytics requires the completion of 20 semester hours of the following courses with grades of C- or better: MATH-180 Statistical Methods, MATH-201 Linear Algebra, CSCI-181 Principles of Computer Science, DATA-301 Data Mining, and DATA-401 Machine Learning.