Data Science is a new discipline that sits at the nexus of computer science, statistics, and business. A data scientist identifies opportunities for organizations, whether they be Fortune 500 companies, small businesses, start-ups with data driven products, government offices, or non-profits by unearthing solutions to business challenges. Organizations need to make the most of their data. Because of this need, data scientists are in great demand, commanding 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 2016.
Take your career to the next level with a Master of Science in Data Science at Loyola University Maryland. The master’s program gives you the skills you need to become a data scientist. With the programming skills in Python needed to turn messy web data into clean data and the knowledge of how to apply sophisticated statistical modeling using R, you will be able to answer any data-driven problem. From Loyola's Jesuit background, the program also provides students the opportunity to learn about the ethical implications of the work they will do as data scientist. The school's strong commitment to social justice leads the program to encourage 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 to render students adaptable to any domain with rigorous statistical and computational skills.
The program concludes with a year-long data science project where students practice the skills they have acquired through their course work in a real world project working with a client who has a data need. The program highlights the ethical dilemmas data scientists face. Our students will learn how these principles apply to data science, and the social context of data science.