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 2023

Freshman
AUCCCredits
CO 150College Composition (GT-CO2)1A3
CS 150BCulture and Coding: Python (GT-AH3)3B3
CS 164CS1--Computational Thinking with Java 4
DSCI 100First Year Seminar in Data Science 1
DSCI 369Linear Algebra for Data Science 4
MATH 1561Mathematics for Computational Science I (GT-MA1)1B4
STAT 158Introduction to R Programming 1
STAT 315Intro to Theory and Practice of Statistics 3
Biological and Physical Sciences3A4
Diversity, Equity, and Inclusion1C3
 Total Credits 30
Sophomore
 
CS 165CS2--Data Structures 4
CS 220Discrete Structures and their Applications 4
DSCI 235Data Wrangling 2
MATH 151Mathematical Algorithms in Matlab I 1
MATH 2561Mathematics for Computational Science II 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
 
CS 201/PHIL 201Ethical Computing Systems (GT-AH3)3B3
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 
Strategic Writing and Communication (GT-CO3)2 
Data Science Electives (Select at least 6 credits from the Data Science Electives List below)2 6-9
Statistics Electives (Select two courses from the Statistics Electives List below) 6
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)2 6-9
Statistics Electives (Select two courses from the Statistics Electives List below not taken in Junior year) 6
Electives3 10
 Total Credits 29-32
 Program Total Credits: 120

 Data Science Electives List2

Code Title AUCC Credits
Select a minimum of 15 total credits from the list below:
CS 214 Software Development 3
CS 250 Computer Systems Foundations 4
CS 270 Computer Organization 4
CS 314 Software Engineering 3
CS 320 Algorithms--Theory and Practice 3
CS 370 Operating Systems 3
CS 435 Introduction to Big Data 4
CS 440 Introduction to Artificial Intelligence 4
CT 301 C++ Fundamentals 2
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
ECON 435 Intermediate Econometrics 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 345 Differential Equations 4
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 Research--Design, Data, Methods 3
1

The calculus requirement for the major may alternatively be satisfied by completion of MATH 160MATH 161, and MATH 261

2

A minimum of 15 total credits must be selected from the Data Science Electives in the Junior and Senior years. 

3

Select enough elective credits to bring the program total to a minimum of 120 credits, of which at least 42 must be upper-division (300- to 400-level).

Freshman
Semester 1CriticalRecommendedAUCCCredits
CO 150College Composition (GT-CO2)  1A3
CS 150BCulture and Coding: Python (GT-AH3)  3B3
DSCI 100First Year Seminar in Data Science   1
MATH 156Mathematics for Computational Science I (GT-MA1)  1B4
Diversity, Equity, and Inclusion  1C3
 Total Credits   14
Semester 2CriticalRecommendedAUCCCredits
CS 164CS1--Computational Thinking with Java   4
DSCI 369Linear Algebra for Data Science   4
STAT 158Introduction to R Programming   1
STAT 315Intro to Theory and Practice of Statistics   3
Biological and Physical Sciences  3A4
 Total Credits   16
Sophomore
Semester 3CriticalRecommendedAUCCCredits
CS 165CS2--Data Structures   4
MATH 151Mathematical Algorithms in Matlab I   1
STAT 341Statistical Data Analysis I   3
Historical Perspectives  3D3
Social and Behavioral Sciences  3C3
 Total Credits   14
Semester 4CriticalRecommendedAUCCCredits
CS 220Discrete Structures and their Applications   4
DSCI 235Data Wrangling   2
MATH 256Mathematics for Computational Science II   4
STAT 342Statistical Data Analysis II   3
Biological and Physical Sciences  3A3
 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 
Strategic Writing and Communication (GT-CO3)  2 
Elective   3
 Total Credits   15-16
Semester 6CriticalRecommendedAUCCCredits
CS 201/PHIL 201Ethical Computing Systems (GT-AH3)  3B3
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
 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
Elective   7
 Total Credits   16-17
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