Masters Degree in Biostatistics at California State University - East Bay |
California State University - East Bay
|
California State University - East Bay is a Public, 4-year or above Master's Colleges and Universities (larger programs) with 13,124 students in Hayward, CA.
|
|
This school offers the following degree levels:
Bachelor degree, Masters degree |
| Also, students of this school are eligible for federal aid such as Pell Grants and Direct Loans from the US Department of Education. |
View more details on
California State University - East Bay. |
California State University - East Bay
Masters degree
Biostatistics
|
|
|
The Department of Statistics and Biostatistics offers graduate study leading to the degree Master of Science in Biostatistics. The program is designed to serve the needs of students with varying backgrounds in Statistics, Biological Sciences, Public Health, Computer Science, Mathematics and other sciences. The program includes curriculum designed to prepare students to work in the pharmaceutical and biotech industries. All students are expected to master a wide variety of applied statistical and probabilistic techniques and the theoretical foundations on which these techniques rest. They are expected to be familiar with recent developments and to be able to use the statistical literature to learn new techniques and theories throughout their professional careers. In addition to the general requirements stated elsewhere in this catalog, a student must satisfy the departmental requirements stated in the following paragraphs.
Student Learning Outcomes
Students graduating with an M.S. in Biostatistics from Cal State East Bay will have achieved the following:
1. theoretical, interpretive and basic computational skill in (a) descriptive statistics, probability, and graphical displays, (b) distributions, hypothesis testing and confidence intervals, and (c) uncertainty, likelihood, modeling and error analysis;
2. ability to derive basic theory and communicate to others results involving (a) descriptive statistics, probability, and graphical displays, (b) distributions, hypothesis testing and confidence intervals, (c) uncertainty, likelihood, modeling and error analysis;
3. ability to formulate problem solutions, produce appropriate computer code and to decipher standard computer results covering (a) descriptive statistics, probability, and graphical displays, (b) distributions, hypothesis testing and confidence intervals, (c) uncertainty, likelihood, modeling and error analysis.
View more details on
California State University - East Bay.
|
|
|
|
