Auburn Bulletin 2023-2024

Data Science and Engineering — ABM

Accelerated Bachelor’s/Master’s Curriculum for Data Science and Engineering

The Accelerated Bachelor’s/Master’s Program (ABM) offers outstanding students in the Department of Mathematics and Statistics an opportunity to earn both the bachelor's and the master's degrees in less time and at less cost than usual. The ABM program allows these exceptional students to count up to nine credit hours toward both the bachelor's and master's degrees. The Bachelor of Science in Applied Mathematics - Applied Discrete Mathematics Option undergraduate major can lead to a Master of Science in Data Science and Engineering - Data Science track in the ABM track. Please see the Department of Mathematics and Statistics for additional information. 

Below is a chart of all the approved courses that can be taken in the ABM program and what course that replaces at the undergraduate level.

CodeTitleHours
STAT 6000Intermediate Statistical Methods for Data Science (Replaces STAT 5000 Intermediate Statistical Methods for Data Science)3
STAT 6650Statistical Learning (Replaces STAT 5660 Statistical Learning)3
MATH 6050Matrix Theory and Applications (Replaces MATH 5060 Matrix Theory and Applications)3

Senior Year for Students in ABM Program - Applied Mathematics - Applied Discrete Mathematics Option

Courses marked with an asterisk are those used by students enrolled in the ABM program to meet nine undergraduate hours during their senior year and nine graduate hours to be used toward their graduate degree.

Senior
FallHoursSpringHours
MATH 6370 Linear Algebra3MATH 6710 Linear Optimization3
Discrete Math Electives3*STAT 6650 Statistical Learning3
*STAT 6000 Intermediate Statistical Methods for Data Science3*MATH 6050 Matrix Theory and Applications3
Interdisciplinary Elective3Elective3

Accelerated Master of Science in Data Science and Engineering - Data Science track (non-thesis)

First Year
FallHoursSpringHoursSummerHours
STAT 6600 Probability and Statistics for Data Science3COMP 6630 Machine Learning3STAT 7940 Capstone Project3
COMP 6120 Database Systems I3COMP 6130 Data Mining3 
MATH/STAT Elective3MATH/STAT Elective3 
 9 9 3
Total Hours: 21