Loyola University Maryland

Data Science

Master of Science in Data Science

Data Science is an evolving discipline that sits at the nexus of computer science, statistics, and business. Through data analysis, a data scientist identifies strategic and operational opportunities for organizations, whether they be Fortune 500 companies, small businesses, start-ups, government offices, or non-profits. Organizations need to derive value from available data. Because of this need, data scientists are in great demand, commanding up to six-figure salaries. According to glassdoor.com, data science positions are among the top for work-life balance and ranks it Number 1 on a "Best 25 Jobs List" in 2018.

Take your career to the next level with a Master of Science in Data Science at Loyola University Maryland. The master’s program provides the skills you need to become a data scientist. Students are prepared with programming skills in Python needed to transform messy web data into clean data and the knowledge to apply sophisticated statistical modeling using R, to address any data-driven problem. Leveraging Loyola's Jesuit background, the program also provides students the opportunity to examine the ethical implications of the work they will do as a data scientist. As part of the program, Loyola’s strong commitment to social justice encourages students to engage with nonprofits.

Loyola’s Master's in Data Science offers students a thorough data science educational experience through a 31-credit program, 10 three-credit courses and a one-credit course at Loyola's Columbia Graduate Center in Columbia, MD. Most courses are offered in a hybrid format with a mix of in-class learning and online activities. This degree blends computer science and statistics courses with business courses graduating students with rigorous statistical and computational skills adaptable to any domain.

The program concludes with a year-long data science project where students utilize the skills they have acquired through their course work to engage in a real world project working with a client to solve a practical data problem. The program highlights the ethical dilemmas data scientists face. Our students learn how ethical principles apply to data science and the real world social context and implications of data science.

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