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The Bachelor of Science in Computer Science in Machine Learning requires completion of at least 138 credits with a cumulative GPA of 2.0 or better. The program usually spans eight semesters of 15 weeks each, or a total of four academic years. For more information, see Degree Requirements.

This is a sample sequence of courses for a student in the 2019-2020 academic cohort. This sequence should not be used for advising purposes. Instead, contact your Student Success Advisor for a copy of this program’s Curriculum Flowchart.

Sample sequence of courses for a student in the 2019-2020 academic cohort.

SemesterCourseCredits
Semester 1MAT 140
Linear Algebra and Geometry
4
CS 100
Computer Environment
4
CS 120
High-Level Programming I: The C Programming Language
4
ENG 110
Composition
3
COL 101
College Life and Academic Skills
1
GAM 100
Project Introduction
3
Semester Total19
Semester 2MAT 150 or MAT 180
Calculus and Analytic Geometry I or Vector Calculus I
4
CS 170
High-Level Programming II: The C++ Language
4
CS 230
Game Implementation Techniques
3
COM 150
Interpersonal and Work Communication
3
GAM 150
Project I
3
Semester Total17
Semester 3CS 211
Introduction to Databases
3
CS 225
Advanced C/C++
3
MAT 200 or MAT 230
Calculus and Analytic Geometry II or Vector Calculus II
4
PHY 200
Motion Dynamics
4
PHY 200L
Motion Dynamics Lab
1
CSP 200*
Computer Science Project II
4
Semester Total19
Semester 4CS 180
Operating Systems I: Man-Machine Interface
3
CS 271
Supervised Machine Learning
3
CS 280
Data Structures
3
MAT 225*
Calculus and Analytic Geometry III
3
MAT 258
Discrete Mathematics
3
CSP 250*
Computer Science Project II
4
Semester Total19
Semester 5MAT 340
Probability and Statistics
3
CS 330
Algorithm Analysis
3
CSP 300*
Computer Science Project III
4
CS 272
Reinforcement Machine Learning
3
MAT 250
Linear Algebra
3
Semester Total16
Semester 6MAT 345
Data Science
3
CSP 350*
Computer Science Project III
4
Humanities and Social Sciences Elective
Any course from the HSS department except COL courses
3
CS 387
Unsupervised Machine Learning
3
CS 362
Operations Research
3
Semester Total16
Semester 7English Elective
Any ENG course
3
MAT 346
Predictive Modeling
3
CSP 400*
Computer Science Project IV
4
CS 487
Advanced Machine Learning
3
Humanities and Social Sciences Elective
Any course from the HSS department except COL courses
3
Semester Total16
Semester 8Computer Science Elective
Any CS or ECE course numbered 200 or higher
3
MAT 357
Numerical Analysis
3
STEM Elective
Any CS, ECE, MAT, or PHY course numbered 200 or higher
3
Open Elective
An elective of the student’s choice from any department at DigiPen
3
CSP 450*
Computer Science Project IV
4
Semester Total16
Degree Total (minimum credits required)138

*Other courses may fulfill this requirement. Reference the Degree Requirements for this program for more information.

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