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UIC School of Public Health Student Handbook 2008-2009

MS Degree Requirements for the Epidemiology and Biostatistics Division

Epidemiology

Minimum credit hour requirement: 50 semester hours

Required Courses:

SPH Core Courses (7 semester hours)

BSTT 400 Biostatistics I (4 sh)

EPID 403 Introduction to Epidemiology: Principles and Methods (3 sh)

Epidemiology Requirements (16-17 semester hours)

EPID 406 Epidemiologic Computing (6 sh)

EPID 404 Intermediate Epidemiologic Methods (4 sh)

EPID 410 Epidemiology of Infectious Diseases (2 sh)

EPID 411 Epidemiology of Chronic Disease (3 sh)

EPID 591 Current Epidemiologic Literature (2 sh)

EPID 595 Research Seminar (1 sh)

BSTT 401 Biostatistics II (4 sh)

BSTT 505 Survival Analysis and Logistic Regression (2 sh) (This course is required for the Cancer Epidemiology Track)

Or

BSTT 506 Design of Clinical Trials (3 sh)

Or

BSTT 507 Sampling and Estimation Methods (3sh)

 

Electives (19 semester hours)

Epidemiology Courses (12 sh)

  • At least 7 semester hours of these must be at the 500 level

Other Electives (7 sh)

  • At least 3 semester hours should be one of the following: EOHS 400, CHSC 400, CHSC 401 or HPA 400

Thesis Research (8 semester hours)

Cancer Epidemiology Track (Starting Fall 2008)

Minimum credit hour requirement: 50 semester hours

EPID 515 Survey of Cancer Epidemiology (3 sh)

At least 3 semester hours should be one of the following:

Nutritional Epidemiology (CHSC 514 or HN 594);

EPID 516 (Advanced Cancer Epidemiology);

EPID 520 (Genetics in Epidemiology);

EPID 554 (Occupational and Environmental Epidemiology);

EPID 594 (Social Epidemiology) or

EPID 594 (Surveillance Epidemiology)

Cancer Epidemiology Electives

Students must take a minimum of 13 credits of electives.

IPHS 598 Research in the Public Health Sciences - MS

Any specific course requirement may be waived on the basis of previous course work or experience. Please refer to the section on Academic Policies and Standards for course waiver rules and procedures.


Standards of Performance for Epidemiology MS Program

Epidemiology majors must achieve a grade of A or B in epidemiology and biostatistics courses. If a grade below "B" is achieved in such a course, it may be repeated once. Failure to maintain this standard will be grounds for dismissal from the epidemiology program.

Research in the Public Health Sciences - MS (IPHS 598)

The MS Dissertation in Epidemiology at UIC SPH is intended to prepare the student to conduct epidemiology studies as a part of a research team. The thesis process involves a) developing a thesis proposal in conjunction with a thesis advisor and committee, and b) completion of the research, writing, and defense of the dissertation. With the assistance of the advisor, the student should select appropriate faculty for his/her thesis committee. The committee must be comprised of three members at a minimum, with at least one member a tenured faculty. The members of the thesis committee will meet with the student to approve the thesis proposal, and to determine that the student is adequately prepared to undertake it.

The student may generate his or her own research hypothesis or work with a faculty member who outlines a research hypothesis. The use of existing data to test a hypothesis using standard epidemiological study designs and analytic techniques is recommended. However, other formats (e.g. descriptive studies and studies with limited field work), may be acceptable. It is anticipated that the thesis results will be suitable for publication in a peer reviewed scientific journal.

IRB: Institutional Review Board

All students must undergo Institutional Review Board (IRB) training and training on the protection of health data by the end of their first year of study. For research involving human subjects, students must submit IRB review or exemption forms prior to beginning their research. Students should consult the SPH Student Reference Guides available in the division, and speak with their advisors. Research involving human subjects cannot be undertaken without first obtaining IRB review or exemption.

Note: The written and defended thesis is required for submission mid-semester. Students are recommended to plan their program completion and graduation accordingly.

Additional MS learning objectives for students in epidemiology:

For students pursuing the MS degree in epidemiology, in addition to the specific learning objectives for students pursuing an MPH in epidemiology, the following objectives apply:

  • Exhibit the ability for problem conceptualization and study design.
  • Demonstrate critical reading skills and the ability to synthesize epidemiological and related biological information.
  • Illustrate the ability to write reports from studies that are suitable for publication in scientific journals.

Additionally, the Cancer Epidemiology concentration is intended to provide specialized training to enable MS students:

  1. to describe and characterize the major known determinants of cancer;
  2. to describe, locate, analyze and interpret existing data relevant to cancer;
  3. to understand the strengths and weaknesses of alternative epidemiologic study designs in the context of cancer research; and
  4. to work within a multidisciplinary team to study behavioral, environmental, infectious, nutritional and/or genetic factors involved in cancer etiology.
  5. PhD students will further be able to design, conduct and analyze epidemiologic studies testing hypotheses relevant for cancer

 

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Biostatistics

Minimum credit hour requirement: 48 semester hours

Note: Biostatistics students should not take BSTT 400 or EPID 400 as an SPH course requirement. EPID 403, Introduction to Epidemiology: Principles and Methods (3 sh) is the required SPH core course.

Required Courses


EPID 403 Introduction to Epidemiology: Principles and Methods (3 sh)

BSTT 502 Applied Biostatistics I (4 sh)

BSTT 503 Biostatistics Tools (2 sh)

BSTT 504 Applied Biostatistics II (4 sh)

BSTT 512 Survival Analysis (3 sh)

BSTT 511 Categorical Data Analysis (3 sh)

STAT 401 Introduction to Probability (4 sh)

STAT 411 Statistical Theory (4 sh)

BSTT 507 Applied Sampling (3 sh) -OR- BSTT 506 Clinical Trials (3 sh)

BSTT 513 Longitudinal Data Analysis (4 sh)

BSTT 514 Biostatistical Consulting (2 sh)

BSTT 522 Biostatistical Investigations (4 sh)

* Students must take EPID 403 (3 sh) in lieu of EPID 400.

Electives (minimum requirement) 8 sh

Electives: At least one elective course must be selected from the SPH core courses not given in the Epidemiology and Biostatistics Division: CHSC 400, EOHS 400, HPA 400, or HPA 401.

Standards of Performance for Biostatistics MS Program

Biostatistics majors are allowed only one grade of C in required courses. A student who receives two Cs in required courses will not be allowed to graduate from the program. A student may re-take a course one time and attempt to replace the C with a higher grade; however it should be noted that nearly all of the courses required for the MS in Biostatistics are offered only once a year and must be taken in a particular sequence, so re-taking a course is likely to delay graduation by a full year.

MS Comprehensive Examination

All MS students in biostatistics take a comprehensive exam at the end of their second program year. This exam consists of two parts. The first part, a three-hour written exam, will cover basic methodological material from the required biostatistics and mathematics courses. The second part will be a seven day take-home exam in which the student is tested on the ability to perform data analysis and to describe and discuss the results.


Additional MS learning objectives for students in biostatistics:

Students pursuing the MS degree in biostatistics will develop an understanding of, and skills in, applying biostatistical methods for work in private sector (often in the pharmaceutical industries) or public sector (academic setting, nonprofit research groups and government) employment. The following learning objectives for the MS student in biostatistics apply:

  • Apply methods and gain knowledge of the theoretical basis for these methods, including their underlying assumptions.
  • Know how to work with data files and statistical packages.
  • Understand standard diagnostic tools for statistical analysis.
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