MS in Data Science

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Master of Science in

Data Science


Drive Action with Data. Advance Your Career.

Meet the Demands of a Changing Workforce Enhance your ability to find and interpret meaningful data patterns. Develop into a professional practitioner with deep analytical skills based on a strong mathematical foundation. This enduring skill set will allow you to take on complex data challenges now and in the future, no matter what programming language you use. • Dive into data mining. • Practice data visualization. • Strengthen your computational and mathematical skills. • Learn to delve into data rather than perform simple surface analysis. • Engage in real-world applications that address organizations’ pressing needs. • Transform innovative data-centered concepts into concrete products and services. • Develop professional and leadership skills. Through courses in applied mathematics, computer science, statistics, communications, and project management, you will learn the strategies and tools necessary to make game-changing strides in your career and workplace in any industry you choose. Funding is provided in part from the Lilly Endowment Initiative to Promote Opportunities Through Educational Collaboration — Round III: A Call to Action.


Professional Science Master’s (PSM) Program Become a well-rounded individual with deep knowledge in data science coupled with the ability to communicate effectively and manage projects. PSM programs combine rigorous study of mathematics or science with workplace skills like communications and project management. Regardless of the employment sector, PSM graduates are finding exciting, well-compensated careers. PSM Programs: • Emphasize written and oral skills, leadership and team building. • Emphasize project or practicum experience rather than a thesis. • Prepare students for math and science careers in business, government, higher education, or nonprofit organizations, where workforce needs are increasing. • Adjust to rapidly changing technology. • Meet the shifting demands of the workforce. • Can accommodate working professionals.

“I find that Saint Mary’s prepared me to use cutting-edge technologies. The professors made sure to touch on different modalities of learning.” —Antoinette Sajewski, Class of 2018

Master of Science in Data Science

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Program Requirements Curriculum ALL OF THE FOLLOWING Applied Linear Algebra Applied Statistics I Applied Statistics II Computer Programming Database Systems Data Mining Data Mining at Scale Data Preprocessing and Visualization Summer Immersion TWO OF THE FOLLOWING Communication and Data Science Data Analytics & Outcomes Improvement Professional and Technical Writing Project Management Research Methods AT LEAST TWO CREDITS Practicum OPTIONAL Entrepreneurship for Data Scientists Total Credits Required 36

Degree Details • 5-6 semesters, including two summer terms. • All courses online, with one short visit to campus each summer. • 24 course credits, 2 practicum credits, and 6 additional elective credits in either additional practicum experience, elective courses, or writing a master’s thesis. • Option to take an online, non-credit-bearing course in entrepreneurship • C ompleting this course allows you to apply for our MSDS Entrepreneurship Grant.

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Saint Mary’s College of Notre Dame, Indiana


Faculty “As data problems become more complex, many large companies are requiring advanced degrees. Our program will give you the skills you need to stand out; you’ll gain the mathematical and computational depth needed to refine the analytical tools others simply know how to use.” —Kristin Kuter, PhD Areas of Expertise Educational Data Analysis Stochastic Processes

Education PhD, University of California, San Diego MA, University of California, San Diego

Cost By entering a graduate program, you are investing in your future. We understand that navigating the financial aid process for a graduate degree can be overwhelming. To make sure you reach your goals, we will help you identify various funding sources, analyze repayment options, and provide you with tools to establish a budget, estimate costs, and plan for your future. Students entering fall 2018 pay $832 per credit. The Lilly Endowment Scholarship for Data Science is a merit-based scholarship awarded to students admitted to the program who are either residents of Indiana or recent graduates of an undergraduate institution within Indiana. For a breakdown of all costs associated with the program and additional financial aid information visit saintmarys.edu/MDS. Master of Science in Data Science

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“The most valuable things I’ve learned at Saint Mary’s College I was able to apply to my job. In the commercial aviation aftermarket industry there hasn’t been much analysis done in the area of my practicum. So it’s really allowed me to provide a stepping stone for future analytical work.” — ­ Roberto Kao Class of 2018

Practical Experience Put what you are learning in class into practice through hands-on experiences.

When Who Length Goal

Output

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Summer Immersion

Practicum

First summer term Team-based 3–4 days

End of your 2nd year Individual project One semester

Substantially address a focused Address pressing data problem presented by the needs of an organization using sponsor organization most appropriate data science topics and techniques Project dependent

Saint Mary’s College of Notre Dame, Indiana

Presentation


Application Requirements Saint Mary’s College uses a centralized application server (GradCAS). To apply, visit https://gradcas2019.liaisoncas.com/applicant-ux/#/login.

Requirements include: • A bachelor’s degree from a regionally accredited school, or the international equivalent, in mathematics, business, computer science, information systems, the sciences, health science, or quantitative social science, such as psychology. • Submission of a completed application (through GradCAS). • Official transcripts from your degree-granting institutions. • Current resume. • One letter of recommendation (three recommended). • Personal statement. • English language proficiency if your education was in a language other than English. • Video interview (optional).

Detailed application and admission information can be found at saintmarys.edu/MDS

Alum Spotlight “This program at Saint Mary’s has definitely prepared me for my future. The challenging assignments were tailored to give students real world experience, and it has given me so many new job opportunities.”

—Sanjiv Kukadia, Class of 2018

Favorite Class Data Mining

Future Plans Pursue a PhD

Current Job Manager Consultant an IT Services Company

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Schedule a campus visit at grad.saintmarys.edu/visit. Connect with Us Want to learn more about the Data Science program? You can chat with us on Skype, FaceTime, and Google Hangouts. Find us using our email address, graduateadmission@saintmarys.edu, or on Skype using the handle SMC_Graduate_Admission. Learn why Saint Mary’s should be your top choice for a graduate degree.

Contact Us 160 C Le Mans Hall Notre Dame, IN 46556 graduateadmission@saintmarys.edu (574) 284-5098 (phone) (574) 216-3873 (text) saintmarys.edu/MDS


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