Program Overview
The Pharmaceutical Biostatistics Undergraduate Certificate from Fairleigh Dickinson University equips students with statistical methods and skills for healthcare data analysis. It covers topics like probability, applied statistics, statistical programming, and the pharmaceutical industry. The program prepares graduates for careers in the pharmaceutical industry, government agencies, and other healthcare-related fields.
Program Outline
Degree Overview:
Overview:
The Pharmaceutical Biostatistics Undergraduate Certificate from Fairleigh Dickinson University is designed to equip students with the knowledge and skills necessary to apply statistical methods to the quantitative analysis of healthcare issues. It is intended for professionals in government agencies, pharmaceutical companies, research hospitals, public health agencies, and other medical research organizations who need to design medical experiments and analyze and interpret increasingly complex healthcare data.
Objectives:
- To provide students with a strong foundation in statistical methods and their application to healthcare data.
- To develop students' skills in designing and conducting medical experiments.
- To enhance students' ability to analyze and interpret healthcare data.
- To prepare students for careers in the pharmaceutical industry and other healthcare-related fields.
Outline:
Content:
The certificate program covers a range of topics in statistics and statistical programming, including:
- Probability and statistics
- Applied statistics
- Statistical programming
- The pharmaceutical industry: structure and government regulations
Structure:
Students must complete 15 credits to receive the certificate. The program consists of:
- One mandatory 3-credit course (PHAR6605)
- Four 3-credit courses chosen from a list of electives
Course Schedule:
The program is offered on a part-time basis, with courses typically offered in the evenings and on weekends. The program can be completed in as little as one year.
Individual Modules with Descriptions:
- MATH2243 Statistical Programming: This course provides an introduction to SAS programming, including importing and exporting files, predictive data modeling and exploration, and a programming approach to report writing.
- MATH2337 Applied Statistics I: This course covers probability and statistics, with a focus on design of experiments, tests of hypotheses, estimation, and regression.
- MATH2338 Applied Statistics II: This course covers a wider range of statistical techniques, including analysis of variance (ANOVA), factor and cluster analysis, multiple linear regression, cross-tab and distribution-free analysis, and more advanced topics such as modeling, experimental design, error correction, rare events, and graphical methods.
- MATH3237 Probability and Statistics I: This course covers sample spaces, discrete and continuous random variables, point and interval estimation, and tests of statistical hypotheses.
- MATH3238 Probability and Statistics II: This course continues MATH3237 and covers goodness of fit tests, linear models, Markov chains, and optional topics.
- PHAR6605 Pharm Ind: Struct & Gov't Regs: This course provides an overview of the history, business environment, and government regulations concerning the pharmaceutical and related industries.
Assessment:
Assessment Methods:
Students are assessed through a variety of methods, including:
- Exams
- Quizzes
- Homework assignments
- Projects
- Presentations
Assessment Criteria:
Students are evaluated on their:
- Knowledge of statistical concepts and methods
- Ability to apply statistical methods to healthcare data
- Skills in designing and conducting medical experiments
- Ability to analyze and interpret healthcare data
- Communication and presentation skills
Teaching:
Teaching Methods:
The program is taught using a variety of methods, including:
- Lectures
- Discussions
- Hands-on exercises
- Case studies
- Guest lectures
Faculty:
The program is taught by a team of experienced faculty members from the School of Computer Sciences and Engineering. The faculty have expertise in a variety of areas, including statistics, statistical programming, and the pharmaceutical industry.
Unique Approaches:
The program features a unique Industry Advisory Committee (IAC) that provides input on the curriculum and ensures that the program is aligned with the needs of the pharmaceutical industry.
Careers:
Potential Career Paths:
Graduates of the program are prepared for careers in a variety of fields, including:
- Pharmaceutical industry
- Government agencies
- Research hospitals
- Public health agencies
- Other medical research organizations
Opportunities:
Graduates of the program may have opportunities to work in a variety of roles, including:
- Statistician
- Data analyst
- Clinical research associate
- Regulatory affairs specialist
- Medical writer
Outcomes:
Graduates of the program are well-prepared for success in their careers. They have the knowledge and skills necessary to apply statistical methods to healthcare data, design and conduct medical experiments, and analyze and interpret healthcare data. They are also able to communicate their findings effectively to a variety of audiences.