The undergraduate minor program of study in Statistics at FVSU is sponsored by U.S. National Science Foundation (NSF) and is open to all undergraduate students majoring in STEM fields including Biology, Chemistry, Computer Science and Information Systems, Electronic Engineering Technology, Management, and Mathematics.
- Establish a minor program in Statistics within the existing Department of Mathematics and Computer Science.
- Develop students’ statistical knowledge, thinking and methods in almost all activities that require scientific and data driven decisions through offering a program of study in this field and engaging students in laboratory based hands-on activities
- Improve enrollment and retention in STEM fields at FVSU
- Develop students’ sense of belongingness to a wider and reliable academic family
- Provide support to students and faculty members to develop new research, teaching, career development, and leadership projects
- Enhance teaching and research capabilities of STEM programs at FVSU
- Attract more African American students to major in STEM programs
- Establish a basic statistics lab to support the curriculum of the program
The curriculum of the minor program includes the following courses:
- STAT 2113 – Elementary Statistics I – (3 credit hours)
Minor Core (required) Courses (9 Credit Hours)
- STAT 3000 – Statistical Methods I – (3 credit hours)
- STAT 3001 – Statistical Methods II – (3 credit hours)
- STAT 3113 – Applied Regression Analysis – (3 credit hours)
Minor Elective Courses (6 Credit Hours)
- STAT 4010 – Applied Experimental Design – (3 credit hours)
- STAT 4113 – Applied Categorical Data Analysis – (3 credit hours)
- STAT 4011 – Applied Time Series Analysis – (3 credit hours)
Students may take the above courses as their major/free electives.
Outcomes of the Minor Program
After completing the requirements of this minor program, students will be able to:
- Employ statistics principles to scientific systems
- Conduct basic experiments and simulations statistics model
- Work productively in the ares by using applied statistics.