Curriculum
Data Science and Biotechnology Research and Development (BS)
Course |
Title |
Semester Hours |
Year 1- Fall |
|
|
BIO 151 |
Biology I |
3 |
CHE 131/131L |
Chemical Principles and lab |
4 |
ITM 101 |
Introduction to the Major |
1 |
LIB 111 |
Expository Writing I |
3 |
MAT 151 |
Calculus I |
3 |
Total |
|
14 |
Year 1- Spring |
|
|
BIO 152 |
Biology II |
3 |
CHE 132/132L |
Chemical Principles II and lab |
4 |
DSC 110 |
Intro to Data Science & Programming |
3 |
LIB 112 |
Expository Writing II |
3 |
LIB 120 |
Introduction to Psychology |
3 |
Total |
|
16 |
Year 2-Fall |
|
|
BIO 260 |
Molecular Biology |
3 |
CHE 231/CHE 231L |
Organic Chemistry and lab |
4 |
DSC 220 |
Programming I |
3 |
MAT 261 |
Statistics |
3 |
MAT 2XX |
Linear Algebra |
3 |
Total |
|
16 |
Year 2-Spring |
|
|
CHE 232 |
Organic Chemistry II |
3 |
DSC 215 |
Data Analysis with R |
3 |
DSC 230 |
Programming II |
3 |
|
Elective: BEH Dist |
3 |
LIB 133 |
American Culture, Identify, Life |
3 |
Total |
|
15 |
Year 3-Fall |
|
|
BIO 360 |
Cellular Biochemistry |
3 |
BTC 2XX |
Industry Research and Development |
3 |
DSC 315 |
Big Data |
3 |
MAT 461 |
Bio Stats |
3 |
LIB 220/LIB 252 |
Communication |
3 |
Total |
|
15 |
Year 3-Spring |
|
|
BIO 332 |
Genetics |
3 |
DSC 245 |
Data Science and Analytics |
3 |
DSC 301 |
Profession & Practice in Data Sci |
1 |
DSC 320 |
Machine Learning |
3 |
CHE 3xx |
Computational Biology |
3 |
|
DIST Elective |
3 |
Total |
|
16 |
Year 4-Fall |
|
|
DSC 425 |
Data Science R&D Professional Project I |
3 |
DSC 420 |
Advanced Machine Learning |
3 |
|
General Elective |
3 |
|
DIST HUM Elective |
3 |
HIN 410 |
Data Visualization and Display |
3 |
Total |
|
15 |
Year 4-Spring |
|
|
DSC 427 |
Data Science R&D Professional Project II |
3 |
|
Data Science Elective |
3 |
|
Data Science Elective |
3 |
|
General Elective |
3 |
LIB 512 | Healthcare Ethics | 3 |
Total |
|
15 |
Total credits to complete BS degree requirements: 121 credits