Maj
Min

Data Science

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.

Sample 4 Year Plan

Fall

MA 150 Calculus I
CS 111 Introduction to Computer Science I
First Year Seminar
Liberal Studies course

Spring

MA 160 Calculus II
CS 113 Introduction to Computer Science II
ST 120 Elementary Statistics
Liberal Studies course

Fall

MA 213 Linear Algebra
CS 211 Data Structures
ST 251 Probability
Liberal Studies 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

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.

Data Science Learning Outcomes

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.

Data Science Learning Outcomes

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.