Data Science, B.S.

General Education Requirements (A&S)

In addition to major requirements, students must meet the General Education Requirements that correlate to their degree.

For B.A. and B.S. degrees, see General Education Requirements for the B.A. and B.S. Degrees (A&S) .
For Transfer students, see General Education Requirements for Transfer Students (A&S) .

Major GPA and Grade Requirements

Students must maintain a minimum grade point average of 2.0 in courses required to complete the major. All courses required for the major must be taken for a letter grade.

Requirements for the Major

Required credits: 71-72

Core Courses (53 credits)

M 144 - Calculus I 4 credit(s) *
M 145 - Calculus II 4 credit(s)
M 220 - Linear Algebra and Matrix Theory 3 credit(s)
M 240 - Calculus of Several Variables 4 credit(s)
M 260 - Introduction to Data Science 3 credit(s)
M 360 - Probability Theory 3 credit(s)
M 362 - Elements of Statistics 3 credit(s)
CS 114 - Fundamentals of Computing I 4 credit(s) *
CS 115 - Fundamentals of Computing II 4 credit(s)
CS 220P - Data Structures 3 credit(s)
EC 110 - Principles of Macroeconomics 3 credit(s) *
DS 330 - Data Visualization 3 credit(s)
DS 385W - Capstone in Data Science I 3 credit(s)
DS 485W - Capstone in Data Science II 3 credit(s)
DES 200 - Introduction to User Interface Design 3 credit(s)
UISS 340D - Ethics in the Professions 3 credit(s) *

Note:

*These courses also fulfill A&S general education requirements: M 144  for Mathematics,
CS 114  for Information Technology Literacy, EC 110  for one of the Social Science Electives,
and UISS 340D  for one of the UIS requirements.

Track Courses

CS/Math Track (19 credits)

M 221W - Discrete Mathematics I 4 credit(s)
M 368 - Predictive Modeling for Data Science 3 credit(s)
CS 342 - Algorithms and Complexity 3 credit(s)
CS 351 - Introduction to Artificial Intelligence 3 credit(s)
CS 365 - Principles of Database Systems 3 credit(s)
CS 368 - Data Mining 3 credit(s)

Business Track (18 credits)

AC 210 - Financial Accounting 3 credit(s)
EC 211 - Principles of Microeconomics 3 credit(s)
FIN 310 - Business Finance 3 credit(s)
QNT 350 - Introduction to Business Analytics 3 credit(s)
QNT 430 - Predictive and Business Analytics 3 credit(s)
QNT 450 - Business Data Mining 3 credit(s)

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