Loading...
Loading...
Loading...
Loading...
Loading...
Loading...
Loading...
Each track in the MS in Biostatistics Program curriculum consists of at least 34 credits which must be completed in one full-time academic year. In addition to coursework, students will complete a capstone project in each term.
For the Theory and Methods Track, students will earn a grade of B or higher in two semesters of college-level calculus and at least one college-level linear algebra course.
For the Clinical Applications Track, students will earn a grade of B or higher in at least one semester of college-level calculus and one college-level linear algebra course, and applicants must be clinical professionals. If an applicant hasn’t yet taken a college-level linear algebra course as an undergraduate, upon acceptance to the program, they will have to successfully complete this course prior to enrollment.
Students will be asked to declare a Capstone mentor and a project by February 15.
Capstone Declaration Form should be completed by each student and signed by their Capstone Mentor.
Students need to complete the entire sequence of courses to graduate.
Students need to successfully complete a Capstone before the year ends by graduation.
MS in Biostatistics students maintain satisfactory progress by:
Matriculating on a full-time basis
Maintaining a minimum cumulative GPA of 3.0.
Meeting with faculty advisors at least twice in the fall term, and at least once per term thereafter
Completing a least 34 graduate credits for the Master of Science in Biostatistics degree
Completing all requirements for the Master of Science in Biostatistics degree including successful completion of the capstone project within the requirements of the Program
Each student will be assigned to a full-time faculty member for the year based upon their research goals.
This chapter covers the MS in Biostatistics Program. Students can find the following information in this section.
Curricular Requirements
Requirements to Graduate
Standards for Maintaining Satisfactory Progress
Advising
Theory and Methods Track
Clinical Applications Track
Students are expected to take a total of five required courses (12 credits) in the Fall Term, five required courses (13 credits) in the Spring I Term, and three required courses (7 credits) in the Spring II Term. In addition to the 32 credits of required coursework, students must take at least two clinical research-related elective credits, yielding the 3-credit minimum to successfully complete the MS in Biostatistics Program in one year. Required coursework is indicated in bold below.
BIO6000 Capstone 1 MS Biostatistics - 1 credit
BIO6100 Fundamentals of Epidemiology - 3 credits
BIO6300 Introduction to R Programming - 2 credits
BIO6400 Biostatistics for Biomedical Research - 3 credits
BIO6500 Probability and Inference 1 - 3 credits
CLR1010 Clinical Trials Management (elective) - 1 credit
BDS1005 Computer Systems: UNIX/LINUX Fundamentals (elective) - 1 credit*
BDS1006: Computer Systems: Architecture & Applications (elective) - 1 credit*
BDS1007: Computer Systems: Introduction to Scientific Programming Python 3 (elective) - 1 credit *Must seek course director's approval prior to registering
BIO8000 Capstone 2 MS Biostatistics - 1 credit
BIO8200 Analysis of Categorical Data - 3 credits
BIO8400 Advanced Statistical Methods in Clinical Research - 3 credits
BIO8500 Probability and Inference 2 - 3 credits
BIO8700 Theory of Linear and Generalized Linear Models - 3 credits
CLR0700 Professionalism & Ethics in Clinical Research (elective) - 2 credits
CLR1113 Application of Translational Research Oncology (elective) - 3 credits
BDS2005 Introduction to Algorithms (elective) - 3 credits*
BSR2400 Lessons in Scientific Publishing (elective) - 1 credit
MPH0105 Health Economics (elective) - 3 credits
CLR0810 Genetic Epidemiology (elective) - 3 credits *Requires some prior knowledge of a CS-style programming language in addition to R/Python. Must seek course director’s approval prior to registering.
BIO9000 Capstone 3 MS Biostatistics - 1 credit
BIO9100 Survival Analysis - 3 credits
BIO9200 Analysis of Longitudinal Data - 3 credits
BIO9001 Applied Analysis of Healthcare Databases (elective) - 3 credits
MPH0414 Cardiovascular Epidemiology (elective) - 3 credits
CLR0207 Culture, Illness & Community Health (elective) - 1 credit
CLR1114 Translational Oncology: Drug Development (elective) - 1 credit
Required credits 32 Minimum elective credits 2 Total credits 34
http://icahn.mssm.edu/education/masters/biostatistics
Emilia Bagiella
emilia.bagiella@mountsinai.org
Alan Weinberg
Presented in a one-year, full-time format, the MS in Biostatistics program offers students rigorous, comprehensive didactic training in high-quality clinical and translational research. Our curriculum provides students with strong quantitative training as well as practical strategies for addressing complex challenges of novel, clinical research. The program also helps students hone their critical thinking skills. The program’s structure provides students with the opportunity to gain excellent mentorship and individualized attention from faculty in biostatistics and a variety of other disciplines.
The Master of Science in Biostatistics program provides students with the fundamental skills required for conducting high-quality clinical and translational research. The curriculum emphasizes strong quantitative training, critical thinking skills, and practical strategies for addressing complex challenges in clinical research.
The Theory and Methods Track is aimed at students whose goal is to work as biostatisticians or data analysts in a clinical, research, or industry setting. It can also be used as a stepping stone to pursuing a PhD in Biostatistics or Epidemiology. Applicants do not need to have a background related to a health or clinical field, but a strong quantitative background is required.
The Clinical Applications Track is designed for clinical and translational investigators who want to acquire knowledge of quantitative methods in clinical research. A strong quantitative background and a degree in Medical Sciences (MD, DDS, DMD, ND, or DO) are required to apply to this track. Each track in the program consists of at least 34 credits and must be completed in one full-time year. There are two parts: a course requirement and a capstone requirement.
Each track in the MS in Biostatistics Program curriculum consists of at least 34 credits which must be completed in one full-time academic year. In addition to coursework, students will complete a capstone project in each term. This section covers the following:
Students are expected to take a total of five required courses (11 credits) in the Fall Term, five required courses (12 credits) in the Spring I Term, and four required courses (7 credits) in the Spring II Term. In addition to the 30 credits of required coursework, students must take at least three clinical research-related elective credits, yielding the 34-credit minimum to successfully complete the MS in Biostatistics Program in one year. Required coursework is indicated in bold below.
BIO6000 Capstone 1 MS Biostatistics - 1 credit
BIO6100 Fundamentals of Epidemiology - 3 credits
BIO6400 Biostatistics for Biomedical Research - 3 credits
BIO6500 Probability and Inference 1 - 3 credits
CLR6100 Clinical Trial Management - 1 credit
BIO6300 Introduction to R Programming - 2 credits
BDS1005 Computer Systems: UNIX/LINUX Fundamentals - 1 credit*
BDS1006 Computer Systems: Architecture & Applications - 1 credit*
BDS1007 Computer Systems: Intro to Scientific Programming Python - 1 credit* *Must seek course director's approval prior to registering
BIO8000 Capstone 2 MS Biostatistics - 1 credit
BIO8200 Analysis of Categorical Data - 3 credits
BIO8700 Theory of Linear & Generalized Linear Models - 3 credits
BIO8400 Advanced Statistical Methods in Clinical Research - 3 credits
CLR0700 Professionalism & Ethics in Clinical Research (elective) - 2 credits
CLR1113 Application of Translational Research Oncology (elective) - 3 credits
BDS2005 Introduction to Algorithms (elective) - 3 credits*
BSR2400 Lessons in Scientific Publishing (elective) - 1 credit
MPH0105 Health Economics (elective) - 3 credits
CLR0810 Genetic Epidemiology (elective) - 3 credits *Requires some prior knowledge of a CS-style programming language in addition to R/Python. Must seek course director’s approval prior to registering.
BIO9000 Capstone 3 MS Biostatistics - 1 credit
BIO9001 Applied Analysis of Healthcare Databases - 3 credits
MPH0822 Applied Linear Models 2 - 3 credits
BIO9002 Race and Causal Inference Seminar (elective) - 2 credits
CLR0011 Research Grant Writing (elective) - 1 credit
CLR1114 Translational Oncology: Drug Development (elective) - 1 credit
CLR0207 Culture, Illness & Community Health (elective) - 3 credits
MPH0414 Cardiovascular Epidemiology (Elective) - 3 credits
Required credits 30 Minimum elective credits 4 Total credits 34
Capstone-related lectures and projects will:
Engage students in important discourse surrounding data management and research ethics
Challenge students to turn conceptual research questions into testable hypotheses and to determine the appropriate analytic testing methods
Provide students with the opportunity to shadow Biostatistics faculty mentors in the Center for Biostatistics consultation service
Additionally, students will learn how to create appropriate study design-related and methodological solutions to cutting edge, real-world research questions. Students will conduct advanced preliminary analyses under the guidance and supervision of their mentors. At the end of the Spring II term students will communicate their findings to an institution-wide audience at an MS in Biostatistics Capstone Symposium.