Curriculum
Data Science and Biotechnology Research and Development (BS)
Course | Title | Semester Hours |
Year 1- Fall |
|
|
BIO 151 | Biology | 3 |
HIN 100 | Medical Terminology | 1 |
HIN 110 | Biomedical Informatics | 3 |
ITM 101 | Introduction to the Major | 1 |
LIB 111 | Expository Writing I | 3 |
MAT 151 | Calculus | 3 |
Total |
| 14 |
Year 1- Spring |
|
|
BIO 152 | Biology II | 3 |
DSC 110 | Intro to Data Science & Programming | 3 |
HCM 265 | The Business of Biotech | 3 |
LIB 112 | Expository Writing II | 3 |
LIB 120 | Introduction to Psychology | 3 |
Total |
| 15 |
Year 2-Fall |
|
|
CHE 113/L113 | Chemistry & Society (with lab) | 4 |
DSC 200 | Programming | 3 |
MAT 261 | Statistics | 3 |
PBH 250 | Introduction to Public Health | 3 |
| Linear Algebra | 3 |
Total |
| 16 |
Year 2-Spring |
|
|
DSC 215 | Data Analysis with R | 3 |
DSC 245 | Data Science and Analytics | 3 |
DSC 230 | Programming II | 3 |
LIB 220 or LIB 252 | Communication Requirement | 3 |
LIB 144 | American Culture, Identify, Life | 3 |
Total |
| 15 |
Year 3-Fall |
|
|
DSC 315 | Big Data | 3 |
HCM 300 | US Healthcare: Org & Delivery | 3 |
DSC 220 | Biostatistics | 3 |
PBH 260 | Public Health Research Methods | 3 |
HIN 337 | Data, Compliance, and Legal | 3 |
Total |
| 15 |
Year 3-Spring |
|
|
DSC 301 | Profession & Practice in Data Science | 1 |
DSC 320 | Machine Learning | 3 |
| BEH DIST Elective | 3 |
LIB 512 | Healthcare Ethics | 3 |
PBH 360 | Health Data Collection and Management | 3 |
| Dist Elective | 3 |
Total |
| 16 |
Year 4-Fall |
|
|
DSC 421 | Data Sci Prof Prct Experience | 3 |
DSC 420 | Advanced Machine Learning |
|
| General Elective |
|
| DIST HUM Elective |
|
HIN 410 | Data Visualization and Display |
|
Total |
| 15 |
Year 4-Spring |
|
|
DSC 423 | Data Sci Prof Prct Experience II | 3 |
DSC 408 | Deep Learning | 3 |
| Data Science Elective | 3 |
| Data Science Elective | 3 |
| General Elective | 3 |
Total |
| 15 |
Total credits to complete BS degree requirements: 120 credits