Data Science

The world is being flooded with vast amounts of data of every imaginable type, and organizations need to be able to convert this data into actionable knowledge if they wish to stay afloat and ahead of the curve. Because of this need, data scientists are in high demand, and, according to Glassdoor, is the best job in America in 2019. To meet the growing demand for data scientists, the University of St. Thomas has introduced a Master of Science in Applied Data Science.

This program will provide you with the necessary skills to become a data scientist by expanding your horizons by learning to use Python and R for preparing, managing, visualizing and modeling data, as well as communicating results to stakeholders. In addition, you will also learn to use cloud-based services for implementing these methods. Your learning will be strengthened with collaborative projects working on data-driven solutions to real world problems. Consistent with the mission of UST, the program will emphasize the ethical and socially responsible analysis of data, and encourage using data science for social good.

Jack Follis, Ph.D., Master of Science in Applied Data Science conducting class at the University of St. Thomas. 

We value intellectual diversity and welcome individuals from any academic background or industry. This program has been designed so that individuals with minimal technical/quantitative backgrounds will be able to develop the necessary skills to pursue a career in data science. Proficiency courses in computer programming and statistics are offered if you need to learn or refresh those skills and can be taken concurrently with other courses.

The program is offered in a format that is convenient for working professionals. Courses will be offered in the evening in either traditional lecture or hybrid (part-online, part in class lecture) format. You can progress through the program at your own pace, as either a part-time or full-time student.

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