Nov 23, 2024

2023-2024 General Catalog

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2023-2024 General Catalog [ARCHIVED CATALOG]

Data Science, B.S.

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General Degree Requirements

Bachelor of Science Degree Requirements (124 Cr.)

Major Requirements (Minimum 41 Cr.)

Statistics Courses: 12 Cr.

STAT 299 - Statistics Colloquium I Credits: 1
STAT 399 - Statistics Colloquium II Credits: 1
STAT 499 - Statistics Colloquium III Credits: 1

One course from the following options:

Note: The preferred statistics course is STAT 240 .

STAT 140 - General Statistics Credits: 3
STAT 240 - Statistical Analysis Credits: 3
PSY 201 - Statistical Methods Credits: 3
BUS 205 - Business Statistics Credits: 3
CE 202 - Statistical Applications in Civil, Engineering Credits: 3

One course from the following options:

STAT 340 - Statistics for Decision Making Credits: 3
BAN 340 - Statistics for Decision Making Credits: 3
ECON 325 - Econometrics Credits: 3

One course from the following options:

STAT 343 - Time Series Analysis Credits: 3
STAT 344 - Stochastic Processes Credits: 3
STAT 363 - Introduction to SAS Credits: 3

Mathematics Courses: 8-10 Cr.

One course from the following options:

MATH 126 - Calculus and Functions Part II Credits: 4
MATH 131 - Calculus I Credits: 4

One course from the following options:

MATH 220 - Discrete Mathematics Credits: 3
MATH 421 - Combinatorics I Credits: 3

One course from the following options:

MATH 260 - Linear Systems and Matrices Credits: 1
MATH 264 - Linear Algebra Credits: 3

Computer Science Courses: 11-12 Cr.

CS 157 - Algorithms and Programming Credits: 3
CS 158 - Algorithms and Abstract Data Types Credits: 3
CS 350 - Database Management Systems Credits: 3

One course from the following options:

CS 225 - Programming Languages Credits: 2
CS 325 - Simulation and Modeling Credits: 3
CS 345 - Artificial Intelligence Credits: 3

Data Science Courses: 9 Cr.

DATA 151 - Introduction to Data Science Credits: 3
DATA 433 - Data Mining and Applications Credits: 3

One course from the following options:

DATA 374 - Computational Linear Algebra Credits: 3
DATA 375 - Scientific Visualization Credits: 3
DATA 490 - Advanced Topics in Data Science Credits: 3
ECON 473 - Applied Data Science Credits: 3

Application Area: 1-3 Cr.

One course from the following options:

Additional courses may be approved by the program director.

BIO 321 - Math Models of Infectious Disease Credits: 3 OR
MATH 321 - Mathematical Models of Infectious Diseases Credits: 3
ECE 452 - Digital Signal Processing Credits: 3
ECON 473 - Applied Data Science Credits: 3
GEO 460 - Data Analysis Credits: 3 OR
MET 460 - Data Analysis Credits: 3
ME 333 - Mechanical Measurements Laboratory Credits: 4
PHYS 246 - Data Analysis in Physics & Astronomy Credits: 1
POLS 210 - Research Methods in Political Science Credits: 3
PSY 370 - Laboratory in Experimental Design and, Analysis Credits: 3

Degree Map

Credits: 124

2019-2020

Freshman Year

Fall: Semester 1

CORE 110 - The Human Experience Credits: 4
MATH 131 - Calculus I Credits: 4
CS 157 - Algorithms and Programming Credits: 3
Cultural Diversity Credits: 3
KIN 100 - Healthy Lifestyles Credits: 1

Total Credits: 15

Spring: Semester 2

CORE 115 - The Human Experience Credits: 4
DATA 151 - Introduction to Data Science Credits: 3
STAT 240 - Statistical Analysis Credits: 3
CS 158 - Algorithms and Abstract Data Types Credits: 3
Elective/Minor Requirement Credits: 3

Total Credits: 16

Sophomore Year

Fall: Semester 3

STAT 340 - Statistics for Decision Making Credits: 3
THEO 200 - The Christian Tradition Credits: 3
Humanities Credits: 3
Elective/Minor Requirement Credits: 3
Elective Credits: 3

Total Credits: 15

Spring: Semester 4

Natural Science Credits: 4
MATH 220 - Discrete Mathematics Credits: 3
DATA 299 - Data Science Colloquium I Credits: 1
Upper-Level Theology Course Credits: 3
Social Science Credits: 3
MATH 260 - Linear Systems and Matrices Credits: 1

Total Credits: 15

Junior Year

Fall: Semester 5

STAT Elective (e.g. STAT 344 ) Credits: 3
CS 350 - Database Management Systems Credits: 3
DATA Application or Elective Credits: 3
Natural Science Credits: 4
Elective/Minor Requirement Credits: 3

Total Credits: 16

Spring: Semester 6

DATA 433 - Data Mining and Applications Credits: 3
CS 325 - Simulation and Modeling Credits: 3
DATA 399 - Data Science Colloquium II Credits: 1
Humanities Credits: 3
Elective/Minor Requirement Credits: 3
Elective Credits: 3

Total Credits: 16

Senior Year

Fall: Semester 7

DATA Application or Elective Credits: 3
DATA 499 - Data Science Capstone Credits: 1
Social Science Credits: 3
Elective/Minor Requirement Credits: 3
Elective/Minor Requirement Credits: 3
Elective Credits: 3

Total Credits: 16

Spring: Semester 8

Elective Credits: 3
Elective Credits: 3
Elective Credits: 3
Elective Credits: 3
Elective Credits: 3

Total Credits: 15

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