May 17, 2026

2026-2027 General Catalog

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2026-2027 General Catalog

Data Science, B.S.

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General Degree Requirements

Bachelor of Science Degree Requirements (124 Cr.)

Major Requirements (Minimum 43 Cr.)

Application Area Electives: 6 Cr.

At least 6 additional credits from DATA prefix courses and/or from the following options:

BAN 304 - Introduction to Business Analytics Credits: 3
BIO 321 - Math Models of Infectious Disease Credits: 3
MATH 321 - Mathematical Models of Infectious Diseases Credits: 3
CS 225 - Programming Languages Credits: 3
CS 325 - Simulation and Modeling Credits: 3
CS 345 - Artificial Intelligence Credits: 3
ECE 425 - Machine Learning Credits: 3
ECE 452 - Digital Signal Processing Credits: 3
ECON 325 - Econometrics Credits: 3
ECON 473 - Applied Data Science Credits: 3
GEO 460 - Data Analysis Credits: 3
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

Total Credits: 124

This is a hypothetical schedule for a student majoring in data science. Factors such as frequency of course offerings, credits already achieved through AP or transfer credit, etc., may cause your personal schedule to look different. But this sample degree map indicates there is enough room to complete the major in data science and electives within four years.

Freshman Year

Fall: Semester 1

VUE 101 - Valparaiso University Experience: Exploring Values Credits: 4
MATH 131 - Calculus I Credits: 4
CS 157 - Algorithms and Programming Credits: 3
Cultural Diversity Credits: 3
XS 101 - Wellness and Stress Credits: 1

Total Credits: 15

Spring: Semester 2

VUE 102 - Valparaiso University Experience: Finding Your Voice Credits: 4
DATA 240 - Statistical Analysis Credits: 3
CS 158 - Algorithms and Abstract Data Types Credits: 3
Humanities Electives Credits: 6

Total Credits: 16

Sophomore Year

Fall: Semester 3

MATH 264 - Linear Algebra Credits: 3
DATA 315 - Introduction to Data Science Credits: 3
DATA 340 - Statistics for Decision Making Credits: 3
REL 100 - Religion and Society Credits: 3
Social Science Credits: 3

Total Credits: 15

Spring: Semester 4

MATH 220 - Discrete Mathematics Credits: 3
DATA 299 - Data Science Colloquium I Credits: 1
Natural Science Credits: 4
Second Religious Studies Course Credits: 3
Social Science Credits: 3

Total Credits: 14

Junior Year

Fall: Semester 5

CS 350 - Database Management Systems Credits: 3
DATA Electives Credits: 6
Natural Science Credits: 4
Elective/Minor Requirement Credits: 3

Total Credits: 16

Spring: Semester 6

DATA 375 - Scientific Visualization Credits: 3
DATA 433 - Data Mining and Applications Credits: 3
DATA 399 - Data Science Colloquium II Credits: 1
Electives/Minor Requirements Credits: 9

Total Credits: 16

Senior Year

Fall: Semester 7

Electives/Minor Requirements Credits: 16

Total Credits: 16

Spring: Semester 8

DATA 499 - Data Science Colloquium III Credits: 1
Electives/Minor Requirements Credits: 15

Data Science, B.S.

General Degree Requirements

Major Requirements (Minimum 43 Cr.)

Mathematics Courses: 10 Cr.

Computer Science Courses: 9 Cr.

Data Science Courses: 18 Cr.

One introductory statistics course from the following options:

Application Area Electives: 6 Cr.

At least 6 additional credits from DATA prefix courses and/or from the following options:

Degree Map

Freshman Year

Fall: Semester 1

Total Credits: 15

Spring: Semester 2

Total Credits: 16

Sophomore Year

Fall: Semester 3

Total Credits: 15

Spring: Semester 4

Total Credits: 14

Junior Year

Fall: Semester 5

Total Credits: 16

Spring: Semester 6

Total Credits: 16

Senior Year

Fall: Semester 7

Total Credits: 16

Spring: Semester 8

Total Credits: 16