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ScM Program The Johns Hopkins Department of Biostatistics ScM program is intended for individuals who have demonstrated excellence at the undergraduate level in quantitative or biological sciences and a career as a professional statistician. Typically, ScM graduates assume positions in research or professional settings as scientific project coordinators and data analysts where they:
More detailed information is available below and in the Department of Biostatistics Student Handbook. Program Overview: The ScM program typically takes two years, with the first eighteen months spent in didactic coursework and the final six months spent working closely with a departmental faculty member in a master's thesis project. To view the ScM program learning competencies click here Entrance Requirements:
Incoming students without a strong background in basic biology are strongly encouraged to register for the course Introduction to the Biomedical Sciences (260.600), held in advance of the first term each year during the latter part of August. For more information about admission requirements for the School of Public Health, please contact the School's Admissions Office. Student Evaluations: The Department is committed to providing every opportunity for its ScM students to successfully complete this academic program. To support students in progressing toward the degree, a comprehensive written examination is given at the end of the first year. Seminars: The Department offers a weekly seminar program featuring recent work by outstanding statistical scientists from around the world. Attendance is required for all ScM students. The seminar on the first Wednesday of each month is the "Biostatistics Grand Rounds," which features statistical analyses addressing important public health questions. Recommended Curriculum: Year One August:
Term 1: * Essentials of
Probability and Statistical Inference I-IV may be replaced by Introduction to
Probability I-II (140.671-2)
and Statistical Theory I-II (140.673-4). Term 2: ** Students who have earned an MPH from a domestic university within the last 10 years may waive the requirement to take the course Public Health Perspectives on Research. Term 3: Term 4: By the end of their first year, full-time ScM students MUST have earned 12 credits in non-Biostatistics courses, 6 credits of which must be from the School of Public Health and the coursework for which should come from at least two departments in the School of Public Health. Principles of Epidemiology and Introduction to the Biomedical Sciences count for 9 credits. Special studies courses in another department do not count toward this requirement. Electives During their time in the program, ScM students may choose from a wide range of elective courses to meet their educational needs. Students specifically interested in clinical trials may want to consider the courses 140.642 (Design of Clinical Experiments), 390.612 (Design and Analysis of Clinical Trials), or 340.645 (Introduction to Clinical Trials). Students specifically interested in learning the SAS statistical package may want to consider the course 140.632 (Introduction to the SAS Statistical Package).
Academic Ethics
Students in the
Bloomberg School of Public Health are expected to abide by the highest
levels of academic and research integrity. The Johns Hopkins Academic
Ethics Code can be found at:
http://www.jhsph.edu/schoolpolicies/policy_academic_ethics.html
All students must
complete an online module to familiarize themselves with this code. (See
http://apps1.jhsph.edu/academicethics/).
As stated in the
Academic Ethics Code, "violations of academic integrity include, but are
not limited to: cheating; plagiarism; knowingly furnishing false
information to any agent of the University for inclusion in the academic
record; violation of the rights and welfare of animal or human subjects
in research; and misconduct as a member of either School or University
committees or recognized groups or organizations."
For a Biostatistics
student, abiding by the Academic Ethics code includes:
Completing work
on one's own when an individual assignment or examination is given
in a course. Providing proper
attribution to others' work by providing citations with quotations
and giving proper references for all data analysis projects,
research proposals and dissertations and theses.
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