Data science is the discovery of knowledge and insight through the analysis of data. As such, it draws on the study of algorithms and their implementation from computer science, the power of abstraction and of geometric and topological formalism from mathematics, and the modeling and analysis of data from statistics. It has emerged as a separate field in response to the avalanche of data from web enabled sensors and instrumentation, mobile devices, web logs and transactions, and the availability of computing power for data storage and analysis. Modern data is challenging not only due to its large scale, but also because it is increasingly heterogeneous and unstructured. Information gleaned from this data none-the-less is revolutionizing diverse areas of human endeavor from health policy to high energy physics.

Effective Fall 2018

Freshman
AUCCCredits
CO 150College Composition (GT-CO2)1A3
CS 163 or 164Java (CS1) No Prior Programming
Java (CS1) Prior Programming
 4
CS 165Java (CS2) Data Structures and Algorithms 4
DSCI 100First Year Seminar in Data Science 1
MATH 160Calculus for Physical Scientists I (GT-MA1)1B4
MATH 161Calculus for Physical Scientists II (GT-MA1)1B4
STAT 158Introduction to R Programming 1
STAT 315Statistics for Engineers and Scientists 3
Arts and Humanities3B3
Biological and Physical Sciences3A4
 Total Credits 31
Sophomore
 
CS 220Discrete Structures and their Applications 4
DSCI 235Data Wrangling 2
DSCI 369Linear Algebra for Data Science 4
MATH 151Mathematical Algorithms in Matlab I 1
MATH 261Calculus for Physical Scientists III 4
STAT 341Statistical Data Analysis I 3
STAT 342Statistical Data Analysis II 3
Biological and Physical Sciences3A3
Historical Perspectives3D3
Social and Behavioral Sciences3C3
 Total Credits 30
Junior
 
DSCI 320Optimization Methods in Data Science 3
DSCI 335Inferential Reasoning in Data Analysis 3
DSCI 336Data Graphics and Visualization 1
Select one course from the following:23
Writing Arguments (GT-CO3)2 
Writing in the Disciplines: Sciences (GT-CO3)2 
Writing in Digital Environments (GT-CO3)2 
Professional and Technical Communication (GT-CO3)2 
Data Science Electives (Select at least 6 credits from the Data Science Electives List below)1 6-9
Statistics Electives (Select two courses from the Statistics Electives List below) 6
Arts and Humanities3B3
Elective 3
 Total Credits 28-31
Senior
 
DSCI 445Statistical Machine Learning4B3
DSCI 478Capstone Group Project in Data Science4A,4C4
Data Science Electives (Select at least six credits from the Data Science Electives List below not taken in Junior year)1 6-9
Statistics Electives (Select two courses from the Statistics Electives List below not taken in Junior year) 6
Global and Cultural Awareness3E3
Electives2 6
 Total Credits 28-31
 Program Total Credits: 120

 Data Science Electives List1

Code Title AUCC Credits
Select a minimum of 15 total credits from the list below:
CS 253 Software Development with C++ 4
CS 270 Computer Organization 4
CS 320 Algorithms--Theory and Practice 3
CS 370 Operating Systems 3
DSCI 473 Introduction to Geometric Data Analysis 2
DSCI 475 Topological Data Analysis 2
ECON 202 Principles of Microeconomics (GT-SS1) 3C 3
ECON 204 Principles of Macroeconomics (GT-SS1) 3C 3
ECON 304 Intermediate Macroeconomics 3
ECON 306 Intermediate Microeconomics 3
MATH 301 Introduction to Combinatorial Theory 3
MATH 317 Advanced Calculus of One Variable 3
MATH 331 Introduction to Mathematical Modeling 3
MATH 332 Partial Differential Equations 3
MATH 360 Mathematics of Information Security 3
MATH 450 Introduction to Numerical Analysis I 3
MATH 451 Introduction to Numerical Analysis II 3

  Statistics Electives List

Code Title AUCC Credits
Select four courses from the list below:
STAT 305 Sampling Techniques 3
STAT 400 Statistical Computing 3
STAT 420 Probability and Mathematical Statistics I 3
STAT 421 Introduction to Stochastic Processes 3
STAT 430 Probability and Mathematical Statistics II 3
STAT 440 Bayesian Data Analysis 3
STAT 460 Applied Multivariate Analysis 3
STAT 472 Statistical Consulting Capstone 3
Freshman
Semester 1CriticalRecommendedAUCCCredits
CO 150College Composition (GT-CO2)  1A3
Select one course from the following:X  4
Java (CS1) No Prior Programming    
Java (CS1) Prior Programming    
DSCI 100First Year Seminar in Data Science   1
MATH 160Calculus for Physical Scientists I (GT-MA1)  1B4
Arts and Humanities  3B3
 Total Credits   15
Semester 2CriticalRecommendedAUCCCredits
CS 165Java (CS2) Data Structures and AlgorithmsX  4
MATH 161Calculus for Physical Scientists II (GT-MA1)  1B4
STAT 158Introduction to R Programming   1
STAT 315Statistics for Engineers and Scientists   3
Biological and Physical Sciences  3A4
 Total Credits   16
Sophomore
Semester 3CriticalRecommendedAUCCCredits
CS 220Discrete Structures and their ApplicationsX  4
MATH 261Calculus for Physical Scientists III   4
STAT 341Statistical Data Analysis I   3
Social and Behavioral Sciences  3C3
 Total Credits   14
Semester 4CriticalRecommendedAUCCCredits
DSCI 235Data Wrangling   2
DSCI 369Linear Algebra for Data ScienceX  4
MATH 151Mathematical Algorithms in Matlab I   1
STAT 342Statistical Data Analysis II   3
Biological and Physical Sciences  3A3
Historical Perspectives  3D3
 Total Credits   16
Junior
Semester 5CriticalRecommendedAUCCCredits
DSCI 320Optimization Methods in Data Science   3
Data Science Electives (See List on Concentration Requirements Tab)   3-4
Statistics Elective (See List on Concentration Requirements Tab)   3
Select one course from the following:  23
Writing Arguments (GT-CO3)  2 
Writing in the Disciplines: Sciences (GT-CO3)  2 
Writing in Digital Environments (GT-CO3)  2 
Professional and Technical Communication (GT-CO3)  2 
Elective   3
 Total Credits   15-16
Semester 6CriticalRecommendedAUCCCredits
DSCI 335Inferential Reasoning in Data Analysis   3
DSCI 336Data Graphics and Visualization   1
Data Science Electives (See List on Concentration Requirements Tab)   3-5
Statistics Elective (See List on Concentration Requirements Tab)   3
Arts and Humanities  3B3
 Total Credits   13-15
Senior
Semester 7CriticalRecommendedAUCCCredits
DSCI 445Statistical Machine Learning  4B3
Data Science Electives (See List on Concentration Requirements Tab)   3-4
Statistics Elective (See List on Concentration Requirements Tab)   3
Global and Cultural Awareness  3E3
Elective   3
 Total Credits   15-16
Semester 8CriticalRecommendedAUCCCredits
DSCI 478Capstone Group Project in Data ScienceX 4A,4C4
Data Science Electives (See List on Concentration Requirements Tab)X  3-5
Statistics Elective (See List on Concentration Requirements Tab)X  3
ElectiveX  3
The benchmark courses in the 8th semester are the remaining courses in the entire program of study.X   
 Total Credits   13-15
 Program Total Credits:   120