| Requirements | Class Number | Class Name | Hours* | Offered | Prerequisites | Notes |
| Complete Four | CELL 120 | Science of Biology | 3:3:0 | F/W/Spr | - | If you are a Biology Major, BIO 130 is also accepted |
| BIO 264 | Statistical Analysis for Biologists | 4:4:0 | F/W | BIO 130 or CELL 120 or MMBIO 121 | | |
| STAT 230 | Statistical Modeling 1 | 3:3:0 | F/W/Sp | STAT 121 or STAT 201 | Recommended It is strongly suggested that STAT 130 and MATH 112 be taken concurrently with or before STAT 230. | |
| STAT 330 | Statistical Modeling 2 | 3:3:0 | F/W | MATH 213 & STAT 230 | Recommended STAT 250 and MATH 113 are strongly recommended as a prerequisites or concurrent enrollment. | |
| HLTH 345 | Principles of Epidemiology | 3:3:0 | W | HLTH 313 | | |
| MMBIO 240 | Molecular Biology | 3:3:0 | F/W/Spr | BIO 130 or MMBIO 121 or CELL 120 | Recommended Chem 105 or Chem 111 (4 credits) | |
| Possibly Indirectly Required | HLTH 313 | Introduction to Data Collection and Analysis | 3:3:0 | F/W | - | |
STAT 201 or STAT 121 preferred | Statistics for Engineers and Scientists | 3:3:0 | F/W/Spr | MATH 112 or MATH 113 or MATH 119 | ||
| Introduction to Statistical Data Analysis | 3:3:1 | F/W/Spr-Su/Spr/Su | - | Recommended MATH 110 or equivalent |
*Hours are Credit : Lecture : Lab
Coming soon!
After graduation, students have gone into the both the workforce and graduate programs. The following table shows some of the career paths our graduates have followed:
Job Title | Master's Degree Subject |
| Software Engineer | Biostatistics |
