About
Data Science is an emerging field that has grown out of the tremendous growth in statistics and computer science in the past few decades. Data can help one seek to understand patterns in the world in light of inherent uncertainty. In order to study and address many of the challenges in our society, one must have the tools to process data, perform computations, summarize, investigate, and communicate important findings from the information. Data science can play a critical role in many efforts to enhance the conditions of the human person and the world.
Learn more about the Data Science program from our Saint Michael’s professors in the video below:
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Sample 4 Year Plan
Fall
MA 150 Calculus I
CS 111 Introduction to Computer Science I
First Year Seminar
CORE Curriculum Course
Spring
MA 160 Calculus II
CS 113 Introduction to Computer Science II
ST 120 Elementary Statistics
CORE Curriculum Course
Fall
MA 213 Linear Algebra
CS 211 Data Structures
ST 251 Probability
CORE Curriculum Course
Spring
MA 240 Introduction to Mathematical Proof
DS 202 Computational Tools for Data Science
ST 252 Mathematical Statistics
Elective
Fall
DS 203 Introduction to Data Science
Electives
Spring
Junior Seminar (JS 304 Visualizing Data)
Electives
Fall
MA/ST/CS Elective
Electives
Spring
DS 410 Senior Seminar in Data Science
Electives
Faculty
Mathematics and Statistics
Barbara O'Donovan
Instructor of Engineering and Mathematics & Statistics, Engineering Program Co-Director
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Mathematics and Statistics
Christopher Desjardins
Assistant Professor of Mathematics and Statistics
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Computer Science
John Trono
Professor of Computer Science, Chair of Computer Science and Information Systems
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Mathematics and Statistics
Michael Larsen
Chair of Mathematics and Statistics, Professor of Mathematics and Statistics
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Computer Science
Greta Pangborn
Associate Professor of Computer Science, Engineering Program Co-Director
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Data Science combines courses in Computer Science, Mathematics, and Statistics to equip students with the skills needed to analyze Big Data using advanced computing and statistical methods. Students begin with introductory classes in these areas to build their knowledge of the mathematical foundations of data science and their computational and statistical thinking skills.
Students then move into more advanced courses like Computational Tools for Data Science, Applied Regression Analysis, and Data Structures in which they learn to create complex computer-based data models.
Data Science majors complete their degrees by applying what they have learned in their Data Science Senior Seminar.
Careers
There is great unfulfilled demand in industry and government for people trained in quantitative methods in general and in Data Science in particular. Many fields increasingly utilize statistical methods and large, complex data sets in routine practice. Research across a wide spectrum of disciplines to an extent never seen before uses and relies on statistical methods together with computing skills with insight and expertise in working with Big Data.
The career outlook for Data Science graduates is excellent. According to a 2017 study by IBM, demand for data scientists will increase 28% by 2020, with more than 60,000 job openings per year.
In Depth
Data Science combines courses in Computer Science, Mathematics, and Statistics to equip students with the skills needed to analyze Big Data using advanced computing and statistical methods. Students begin with introductory classes in these areas to build their knowledge of the mathematical foundations of data science and their computational and statistical thinking skills.
Students then move into more advanced courses like Computational Tools for Data Science, Applied Regression Analysis, and Data Structures in which they learn to create complex computer-based data models.
Data Science majors complete their degrees by applying what they have learned in their Data Science Senior Seminar.
Careers
There is great unfulfilled demand in industry and government for people trained in quantitative methods in general and in Data Science in particular. Many fields increasingly utilize statistical methods and large, complex data sets in routine practice. Research across a wide spectrum of disciplines to an extent never seen before uses and relies on statistical methods together with computing skills with insight and expertise in working with Big Data.
The career outlook for Data Science graduates is excellent. According to a 2017 study by IBM, demand for data scientists will increase 28% by 2020, with more than 60,000 job openings per year.
