Data Science (B.S.)
REQUIRED MAJOR CORE
Complete the following courses.
- - Calculus I (4 s.h.)
- - Calculus II (4 s.h.)
- - Introduction to Data Science (3 s.h.)
- - Probability and Statistics (3 s.h.)
- - Linear Algebra (3 s.h.)
- - Calculus III (4 s.h.)
- - Intro to Computer Science I (3 s.h.)
- - Intro to Computer Science II (3 s.h.)
- - Introduction to Machine Learning (3 s.h.)
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Logic and Discrete Mathematics
(3 s.h.)
or
- - Logic and Discrete Mathematics (3 s.h.)
- - Introduction to Data Mining (3 s.h.)
- - Database Management Systems (3 s.h.)
-
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Algorithms
(3 s.h.)
or
- - Mathematical Foundations for Data Analysis (3 s.h.)
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Senior Seminar I
(2 s.h.)
or
- - Senior Seminar I (2 s.h.)
-
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Senior Seminar II
(0-1 s.h.)
or
- - Senior Seminar II (0-1 s.h.)
-
-
General Biology
(4 s.h.)
or
- - University Physics (4 s.h.) or
- - General Chemistry I (4 s.h.)
COLLOQUIUM
Complete two semesters of colloquium; one presentation required.
- - Science Colloquium (1 s.h.)
ELECTIVE(S) IN MAJOR
Complete two elective courses in mathematics or computer science (200-level or higher).
- - Calculus for Applications (3 s.h.)
- - Finite Math (3 s.h.)
- - Math for Elementary Teachers I (4 s.h.)
- - Math for Elementary Teachers II (4 s.h.)
- - Statistics (3 s.h.)
- - Numerical Methods (3 s.h.)
- - Foundations of Geometry (3 s.h.)
- - Abstract Algebra (3 s.h.)
- - Differential Equations (3 s.h.)
- - Introduction to Real Analysis (3 s.h.)
- - Truth and Beauty: Topics in the Philosophy of Mathematics (3 s.h.)
- - Special Topics in Mathematics (1-4 s.h.)
- - Independent Study (1-3 s.h.)
- - Web Programming (3 s.h.)
- - Numerical Methods (3 s.h.)
- - Introduction to Networking (3 s.h.)
- - Information Systems Analysis (3 s.h.)
- - Organization of Programming Languages (3 s.h.)
- - Computer Architecture & Digital Logic (4 s.h.)
- - Operating Systems (3 s.h.)
- - Special Topics in Computer Application (3 s.h.)
- - Internship (2-4 s.h.)
Next Steps
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