B.S Curriculum and Degree Requirements

See below

Programs

Computing Option (120 Credits)

Content

Fall Semester (14 Credits)

CS 100 Roadmap to Computing 3
Math 111 Calculus 1 4
PHYS 111 Physics I 3
PHYS 111 A Physics I Lab 1
Hum 101 English Composition 3
Freshman Seminar Freshman Seminar 0

 

Spring Semester (14 Credits)

CS 113 Intro to Computer Science I 3
Math 112 Calculus II 4
PHYS 121 Physics II 3
PHYS 121 A Physics II Lab 1
Hum 102 English Composition 3
Content

Fall Semester (15 Credits)

CS 114 Intro to Computer Science II 3
Math 244 Introduction to Probability 3
Math 337 Linear Algebra 3
GER Humanities/History (200 level) 3
GER Social Science Literacy GER 3

 

Spring Semester (16 Credits)

CS 241 Foundations of Computer Science I 3
CS 280 Programming Language Concepts 3
IS 350 Computers, Society, and Ethics 3
Math 341 Statistical Methods 3
YWCC 207 Computing & Effective Communication 1
Data Science Elective 1 3
Content

Fall Semester (15 Credits)

CS 288 Intensive Programming in Linux 3
CS 301 Introduction to Data Science 3
CS 331 Database System Design & Management 3
CS 370 Intro to Artificial Intelligence 3
ENG 340 or ENG 352 Oral Presentation or Technical Writing 3

 

Spring Semester (16 Credits)

CS 435 Advanced Data Structures and Algorithm Design 3
Data Science Elective 2 3
CS 482 Data Mining 3
CS 375 Machine Learning 3
GER History and Humanities (300+ level) 3
YWCC 307 Professional Development in Computing 1
Content

Fall Semester (15 Credits)

CS 450 Data Visualization 3
CS 444 Big Data Systems 3
CS 492 Data Science Capstone 1 3
MATH 478 Stats Methods in Data Science 3
Data Science Elective 3 3

 

Spring Semester (15 Credits)

GER Humanities/Social Science Senior Seminar 3
Free Elective Free Elective 1 3
CS 493 Data Science Capstone 2 3
Math 344 Regression Analysis 3
Data Science Elective 4 3

Statistics Option (120 Credits)

Content

Fall Semester (14 Credits)

CS 100 Roadmap to Computing 3
Math 111 Calculus 1 4
PHYS 111 Physics I 3
PHYS 111 A Physics I Lab 1
Hum 101 English Composition 3
Freshman Seminar Freshman Seminar 0

 

Spring Semester (14 Credits)

CS 113 Intro to Computer Science I 3
Math 112 Calculus II 4
PHYS 111 Physics I 3
PHYS 111 A Physics I Lab 1
Hum 102 English Composition 3
Content

Fall Semester (15 Credits)

CS 114 Intro to Computer Science II 3
Math 244 Introduction to Probability 3
Math 337 Linear Algebra 3
GER Humanities/History (200 level) 3
GER Social Science Literacy 3

 

Spring Semester (16 Credits)

CS 241 Foundations of Computer Science I 3
CS 280 Programming Language Concepts 3
Math 213 Calculus IIIB 4
Math 341 Statistical Methods 3
Data Science Elective 1 3
Data Science Elective 1 3
Content

Fall Semester (15 Credits)

Math 340 Applied Numerical Methods 3
Math 344 Regression Analysis 3
Math 391 Numerical Linear Algebra 3
CS 301 Introduction to Data Science 3
GER History and Humanities (300 level) 3

 

Spring Semester (15 Credits)

Math 345 Multivariate Distributions 3
Math 447 Applied Time Series Analysis 3
Data Science Elective 2 3
Data Science Elective 4 3
GER History and Humanities (300 level) 2 4
Content

Fall Semester (15 Credits)

Math 448 Stochastic Simulation 3
Math 461 Statistical Computing with R 3
Math 462 Statistics and Statistical Learning Capstone 1 3
CS 450 Data Visualization 3
Data Science Elective 3 3

 

Spring Semester (16 Credits)

GER Humanities/Social Science Senior Seminar 3
Math Upper Level Elective (300+ level) 3
Math 463 Statistics and Statistical Learning Capstone 2 3
Data Science Elective 4 3
Free Elective Free Elective 2 4

 

 

 


Students considering switching to Computer Science or Mathematical Sciences should take PHYS 111/111A and 121/121A. Do not take PHYS 102/102A

Free electives should be chosen in consultation with the advisor. Some restrictions apply.

Choose from the following for the Data Science – Computing Option (courses used to satisfy another requirement of the degree may not be counted as a Data Science Elective.

 

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