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Data Science - B.S.

CIP Code

30.7001

 

Requirements

 

Computer Science Courses [24 credits]

There are 24 credits in computational thinking.

CSCI 110INTRODUCTION TO COMPUTER SCIENCE I

4
And
CSCI 110LINTRODUCTION TO COMPUTER SCIENCE I LABORATORY

0

CSCI 120INTRODUCTION TO COMPUTER SCIENCE II

4
And
CSCI 120LINTRODUCTION TO COMPUTER SCIENCE II LABORATORY

0

CSCI 241DATA STRUCTURES AND ALGORITHMS

4
CSCI 280MATHEMATICAL MODELLING OF BIOLOGICAL SYSTEMS

4
CSCI 312DATABASE MANAGEMENT

4
Or
CSCI 370SOFTWARE ENGINEERING

4

CSCI 280 and CSCI 380: or equivalent

Seminar Courses [6 credits]

CSCI 210SOPHOMORE SEMINAR

1
CSCI 310JUNIOR SEMINAR

1
CSCI 411SENIOR SEMINAR I

2
CSCI 412SENIOR SEMINAR II

2

Mathematics courses [16 credits]

MATH 120CALCULUS I

4
MATH 130CALCULUS II

3
MATH 125DISCRETE MATHEMATICS

3
MATH 240LINEAR ALGEBRA

3

Statistical Courses [4 credits]

BAD 260APPLIED STATISTICS

4
Or
HSS 280METHODS AND STATISTICS FOR SOCIAL RESEARCH

4
Or
NSCI 360STATISTICS

4
Or
MATH 390BSPECIAL TOPICS IN MATHEMATICS: BIOSTATISTICS

4

Partner Discipline Courses (10-12 credits)

  • 10-12 hours of any major (approved by the advisor)
 

Total Credit Hours: 120