Theory & Methods

Director: Christine Mauro, PhD

The MS in Biostatistics Theory and Methods Track (MS/TM) is designed for students interested in careers as biostatisticians applying statistical methods in health-related research settings. The MS/TM Track is the appropriate program for students who intend to conclude their studies with the MS degree as well as those who want to work in the field prior to pursuing a PhD in biostatistics. It provides a stronger mathematical foundation in statistical methods than does the MPH, and can be viewed either as a terminal professional degree or as a preparatory program for those wishing to pursue further doctoral study such as a PhD in biostatistics.

All MS/TM candidates begin their studies in the fall semester. The length of the MS/TM program varies with the background, training, and experience of the candidate, but the usual period needed to complete the 36 credit MS/TM degree is two years (four semesters). In addition to fulfilling their course work, all MS/TM students also complete a one-term practicum and capstone experience.

Competencies

Through a curriculum of 36 credit hours of coursework, a practicum, and the capstone experience, the MS in Biostatistics Theory and Methods Track provides students with both the skills necessary for a career as a biostatistician and the background needed for doctoral study.

MS students in the Theory and Methods Track gain the following competencies in the areas of public health and collaborative research, data management, teaching biostatistics and biostatistical research. Upon satisfactory completion of the MS in Biostatistics Theory and Methods Track, graduates will be able to:

• Demonstrate the correct use of probability distributions and theory of statistical inference within biostatistics and public health. 
• Apply appropriate statistical methodology to analyze and interpret data from the public health, biomedical, or bioinformatics arena. 
• Implement advanced techniques using statistical software to prepare written and oral presentations for disseminating findings.
• Apply principles of statistical design to answer public health research questions. 
• Apply appropriate advanced statistical methodology to analyze data with complex structure (e.g. repeated measures, correlated outcomes, etc.) and interpret results.

Course Requirements

MS/TM graduates are expected to master the mathematical and biostatistical concepts and techniques presented in the curriculum’s required courses. Each student's program is designed on an individual basis in consultation with a faculty advisor taking into consideration the student's prior educational experience.

Students who have mastered an academic area through previous training may have the corresponding course requirement waived. Some students, such as those with undergraduate majors in statistics or mathematics, may apply to have several courses waived. Students wishing to waive one or more courses must request approval in writing from their advisors and the Director of Academic Programs. These students must still complete a minimum of 36 points to earn the MS/TM degree.

MS/TM students are also strongly advised to develop expertise in one or more statistical software packages (such as SAS) routinely used in several of the biostatistics courses. Knowledge of one or more computer programming languages is also useful. Students without knowledge of any software packages may acquire these skills by taking “mini-courses” offered at the Computer Center in the Health Sciences Library, or by enrolling in a biostatistics course devoted to teaching the use of software packages or programming languages, such as P6110 Statistical Computing with SAS.

Sample Timeline

Below is a sample timeline for MS/TM candidates. Note that course schedules change from year to year, so that class days/times in future years will differ from the sample schedule below; you must check the current course schedule for each year on the course directory page.

Practicum Requirement

One term of practical experience is required of all students, providing educational opportunities that are different from and supplementary to the more academic aspects of the program. The practicum may be fulfilled during the school year or over the summer. Arrangements are made on an individual basis in consultation with faculty advisors who must approve both the proposed practicum project prior to its initiation, and the report submitted at the conclusion of the practicum experience. Students will be required to make a poster presentation at the department’s Annual Practicum Poster Symposium which is held in early May.

Capstone Experience

A formal, culminating experience for the MS degree is required for graduation. The capstone consulting seminar is designed to enable students to demonstrate their ability to integrate their academic studies with the role of biostatistical consultant/collaborator, which will comprise the major portion of their future professional practice.  

>As part of the seminar, students are required to attend several sessions of the Biostatistics Consulting Service (BCS). The Consultation Service offers advice on data analysis and appropriate methods of data presentation for publications, and provides design recommendations for public health and clinical research, including preparation of grant proposals. Biostatistics faculty and research staff members conduct all consultation sessions with students observing, modeling, and participating in the consultations.

In the capstone seminar, students present their experience and the statistical issues that emerged in their consultations, developing statistical report writing and presentation skills essential to their professional practice in biomedical and public health research projects.

Contact

 biostats@cumc.columbia.edu

More information Admission Requirements.