Twin Cities campus
 
Twin Cities Campus

Experimental and Clinical Pharmacology M.S.

Experimental and Clinical Pharmacology
College of Pharmacy
Link to a list of faculty for this program.
Contact Information
Department of Experimental and Clinical Pharmacology, University of Minnesota College of Pharmacy, 7-115 Weaver-Densford Hall, 308 Harvard Street S.E., Minneapolis, MN 55455 (612-625-2160)
  • Program Type: Master's
  • Requirements for this program are current for Spring 2019
  • Length of program in credits: 34
  • This program does not require summer semesters for timely completion.
  • Degree: Master of Science
Along with the program-specific requirements listed below, please read the General Information section of this website for requirements that apply to all major fields.
The Experimental and Clinical Pharmacology (ECP) graduate program was designed specifically for students interested in clinical research. Its goal is to advance the science of human pharmacology and therapeutics to improve the safe, effective, and economical use of drugs by patients. Students study such topics as experimental pharmacotherapy, drug metabolism, infectious disease, neuroscience/neuropharmacology, pharmacometrics, and pharmacogenomics. Graduates are prepared for distinguished careers in clinical research.
Program Delivery
  • via classroom (the majority of instruction is face-to-face)
Prerequisites for Admission
The preferred undergraduate GPA for admittance to the program is 3.00.
A U.S. bachelor's degree or a comparable foreign degree from a recognized college or university is required.
Preference is given to candidates who have had professionally-related pharmacy education, but those from other fields such as biology, chemistry, statistics, and public health will be considered.
Other requirements to be completed before admission:
All international students who are non-English speakers are required to submit TOEFL scores. TOEFL test date must be within 2 years of program start. However, applicants who have completed 24 quarter credits or 16 semester credits within the past 24 months in residence as full-time students at recognized institutions of higher learning in the United States or other English-speaking countries before entering the University of Minnesota are generally exempted from this requirement. GRE required by all students except for applicants that have completed a PharmD at a U.S.-accredited institution.
Special Application Requirements:
Students are generally admitted to the ECP program for fall semester only. All application materials should be submitted by the admissions deadline listed on the departmental website. Applications received after the application deadline will be considered on a space-available basis only. Application to the ECP program at the University of Minnesota is done entirely online. A supplemental departmental application form is also required. Applicants should upload it directly to the online application system.
International applicants must submit score(s) from one of the following tests:
  • TOEFL
    • Internet Based - Total Score: 79
    • Internet Based - Writing Score: 21
    • Internet Based - Reading Score: 19
The preferred English language test is Test of English as Foreign Language.
Key to test abbreviations (TOEFL).
For an online application or for more information about graduate education admissions, see the General Information section of this website.
Program Requirements
Plan A: Plan A requires 24 major credits, 0 credits outside the major, and 10 thesis credits. The final exam is oral.
Plan B: Plan B requires 34 major credits and 0 credits outside the major. The final exam is oral.
This program may be completed with a minor.
Use of 4xxx courses toward program requirements is permitted under certain conditions with adviser approval.
A minimum GPA of 3.00 is required for students to remain in good standing.
At least 2 semesters must be completed before filing a Degree Program Form.
Required Courses (10 credits)
-Students admitted fall 2017 and fall 2018: Take ECP 5220 and 8230 (2 credits each), ECP 8100 twice (2 credits total) and ECP 8992 four times (4 credits total) to meet the 10-credit minimum.
ECP 5220 - Regulatory Issues in Drug Research (2.0 cr)
ECP 8100 - Seminar (1.0 cr)
ECP 8230 - Principles of Clinical Pharmacology (2.0 cr)
ECP 8992 - Directed Readings in Experimental and Clinical Pharmacology (1.0 cr)
Statistical Analysis (4 credits)
Select at least one of the following courses in consultation with the advisor. Two courses are preferred and will count towards Electives or Focus Area.
PUBH 6450 - Biostatistics I (4.0 cr)
or PUBH 6451 - Biostatistics II (4.0 cr)
or STAT 5101 - Theory of Statistics I (4.0 cr)
or STAT 5102 - Theory of Statistics II (4.0 cr)
Electives
Select electives, in consultation with the director of graduate studies and/or the advisor, to complete the master's minimum credit requirement.
ANAT 5xxx
ANAT 6xxx
ANAT 7xxx
ANSC 5xxx
ANSC 8xxx
BBE 5xxx
BBE 8xxx
BICB 5xxx
BICB 8xxx
BINF 5xxx
BIOC 5xxx
BIOC 6xxx
BIOL 5xxx
BIOL 6xxx
BIOL 8xxx
BMEN 5xxx
BMEN 8xxx
BMSC 8xxx
BTHX 5xxx
BTHX 8xxx
CGSC 8xxx
CHEM 5xxx
CHEM 8xxx
CLS 5xxx
CLS 8xxx
CMB 5xxx
CMB 8xxx
ECHO 4xxx
ECP 5xxx
ECP 8xxx
EEB 5xxx
EEB 8xxx
GCD 5xxx
GCD 6xxx
GCD 8xxx
HINF 5xxx
HINF 8xxx
MATH 5xxx
MATH 8xxx
MCDG 8xxx
MEDC 5xxx
MEDC 8xxx
MICA 8xxx
NSC 5xxx
NSC 8xxx
NSCI 5xxx
NSCI 6xxx
NURS 5xxx
NURS 6xxx
NURS 7xxx
NURS 8xxx
PHAR 5xxx
PHAR 6xxx
PHAR 7xxx
PHCL 5xxx
PHCL 8xxx
PHM 5xxx
PHM 6xxx
PHM 8xxx
PHSL 5xxx
PHSL 6xxx
PHSL 8xxx
PUBH 5xxx
PUBH 6xxx
PUBH 7xxx
PUBH 8xxx
SAPH 5xxx
SAPH 8xxx
SCB 5xxx
SCB 8xxx
SCIC 8xxx
STAT 5xxx
STAT 8xxx
TXCL 5xxx
TXCL 8xxx
VMED 5xxx
VMED 8xxx
BIOC 8xxx
Focus Areas
Plan A
Take exactly 10 credit(s) from the following:
· ECP 8777 - Thesis Credits: Master's (1.0-18.0 cr)
-OR-
Plan B
Take 10 project credits.
ECP 8776 - Project Credits: Master's Plan B (1.0-18.0 cr)
-OR-
Focus Area -- Pharmacometrics (10 credits)
Coursework chosen from the following list, or other courses to meet the 10-credit focus area requirement, are selected in consultation with the advisor.
ECP 8500 - Advances in Pharmacometrics Modeling and Simulation (1.0 cr)
or ECP 8501 - Pharmacometrics (2.0 cr)
or ECP 8502 - Introductory Population Pharmacokinetic Methods (2.0 cr)
or ECP 8503 - Intermediate Population PK/PD Methods (2.0 cr)
or ECP 8504 - Modeling Biologics (2.0 cr)
or ECP 8505 - Application of physiological-based pharmacokinetic modeling(PBPK) to model-informed drug development (2.0 cr)
or ECP 8506 - Clinical Trial Simulation (2.0 cr)
or PUBH 7420 - Clinical Trials: Design, Implementation, and Analysis (3.0 cr)
or PUBH 7430 - Statistical Methods for Correlated Data (3.0 cr)
or PUBH 7440 - Introduction to Bayesian Analysis (3.0 cr)
or PUBH 7450 - Survival Analysis (3.0 cr)
or STAT 5101 - Theory of Statistics I (4.0 cr)
or STAT 5102 - Theory of Statistics II (4.0 cr)
-OR-
Focus Area -- Neuroscience/Neuropharmacology (10 credits)
Coursework chosen from the following list, or other courses to meet the 10-credit focus area requirement, are selected in consultation with the advisor.
NSC 5461 - Cellular and Molecular Neuroscience (4.0 cr)
or NSCI 5501 - Neurodegenerative Diseases, Mechanisms to Therapies (3.0 cr)
or PUBH 6450 - Biostatistics I (4.0 cr)
or PUBH 6451 - Biostatistics II (4.0 cr)
or PUBH 7420 - Clinical Trials: Design, Implementation, and Analysis (3.0 cr)
or Neuro-Immune Interactions
CMB 8361 - Neuro-Immune Interactions (3.0 cr)
or NSC 8026 - Neuro-Immune Interactions (3.0 cr)
or PHCL 8026 - Neuro-Immune Interactions (3.0 cr)
or Advanced Neuropharmaceutics
CMB 8481 - Advanced Neuropharmaceutics (4.0 cr)
or NSC 8481 - Advanced Neuropharmaceutics (4.0 cr)
or PHM 8481 - Advanced Neuropharmaceutics (4.0 cr)
-OR-
Focus Area -- Infectious Diseases (10 credits)
Coursework chosen from the following list, or other courses to meet the 10-credit focus area requirement, are selected in consultation with the advisor.
ECP 5620 - Drug Metabolism and Disposition (3.0 cr)
or MICA 8002 - Structure, Function, and Genetics of Bacteria and Viruses (4.0 cr)
or MICA 8003 - Immunity and Immunopathology (4.0 cr)
or MICA 8010 - Microbial Pathogenesis (3.0 cr)
or PHAR 6224 - Pharmacogenomics: Genetic Basis for Variability in Drug Response (2.0 cr)
or PUBH 6450 - Biostatistics I (4.0 cr)
or PUBH 6451 - Biostatistics II (4.0 cr)
or PUBH 7420 - Clinical Trials: Design, Implementation, and Analysis (3.0 cr)
-OR-
Focus Area -- Pharmacogenomics (10 credits)
Coursework chosen from the following list, or other courses to meet the 10-credit focus area requirement, are selected in consultation with the advisor.
ECP 5620 - Drug Metabolism and Disposition (3.0 cr)
or ECP 8900 - Advanced Topics in Experimental and Clinical Pharmacology (1.0-4.0 cr)
or GCD 4034 - Molecular Genetics and Genomics (3.0 cr)
or GCD 4143 - Human Genetics (3.0 cr)
or GCD 8073 - Genetics & Genomics in Human Health (3.0 cr)
or PHAR 6224 - Pharmacogenomics: Genetic Basis for Variability in Drug Response (2.0 cr)
or PUBH 6381 - Genetics in Public Health in the Age of Precision Medicine (2.0 cr)
or PUBH 6450 - Biostatistics I (4.0 cr)
or PUBH 6451 - Biostatistics II (4.0 cr)
or PUBH 7420 - Clinical Trials: Design, Implementation, and Analysis (3.0 cr)
 
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ECP 5220 - Regulatory Issues in Drug Research
Credits: 2.0 [max 2.0]
Typically offered: Every Fall
Regulatory issues encountered in conducting drug research trials. Performing different aspects of clinical trials. Lectures, readings, small group discussions, homework assignments. prereq: ECP grad student or Pharm.D. professional student or instr consent
ECP 8100 - Seminar
Credits: 1.0 [max 8.0]
Typically offered: Every Fall & Spring
Selected topics in experimental/clinical pharmacology. prereq: ECP grad student or instr consent
ECP 8230 - Principles of Clinical Pharmacology
Credits: 2.0 [max 2.0]
Grading Basis: A-F only
Typically offered: Every Fall
Factors determining drug exposure, drug-receptor pharmacology, drug response. Personalized medicine including drug interactions, obesity, age (geriatrics/pediatrics), critical illness, therapeutic evaluation, drug development. prereq: Grad student in Experimental and Clinical Pharmacology or instr consent
ECP 8992 - Directed Readings in Experimental and Clinical Pharmacology
Credits: 1.0 [max 4.0]
Typically offered: Every Fall & Spring
tbd
PUBH 6450 - Biostatistics I
Credits: 4.0 [max 4.0]
Grading Basis: A-F only
Typically offered: Every Fall & Spring
Descriptive statistics. Gaussian probability models, point/interval estimation for means/proportions. Hypothesis testing, including t, chi-square, and nonparametric tests. Simple regression/correlation. ANOVA. Health science applications using output from statistical packages. prereq: [College-level algebra, health sciences grad student] or instr consent
PUBH 6451 - Biostatistics II
Credits: 4.0 [max 4.0]
Typically offered: Every Fall & Spring
Two-way ANOVA, interactions, repeated measures, general linear models. Logistic regression for cohort and case-control studies. Loglinear models, contingency tables, Poisson regression, survival data, Kaplan-Meier methods, proportional hazards models. prereq: [PubH 6450 with grade of at least B, health sciences grad student] or instr consent
STAT 5101 - Theory of Statistics I
Credits: 4.0 [max 4.0]
Typically offered: Every Fall
Logical development of probability, basic issues in statistics. Probability spaces. Random variables, their distributions and expected values. Law of large numbers, central limit theorem, generating functions, multivariate normal distribution. prereq: [Math 2263 or Math 2374 or Math 2573H], [CSCI 2033 or Math 2373 or Math 2243]
STAT 5102 - Theory of Statistics II
Credits: 4.0 [max 4.0]
Course Equivalencies: Stat 4102/5102
Typically offered: Every Spring
Sampling, sufficiency, estimation, test of hypotheses, size/power. Categorical data. Contingency tables. Linear models. Decision theory. prereq: 5101 or Math 5651
ECP 8777 - Thesis Credits: Master's
Credits: 1.0 -18.0 [max 50.0]
Grading Basis: No Grade
Typically offered: Every Fall, Spring & Summer
Thesis credits: master's. prereq: Max 18 cr per semester or summer; 10 cr total required [Plan A only]
ECP 8776 - Project Credits: Master's Plan B
Credits: 1.0 -18.0 [max 50.0]
Grading Basis: No Grade
Typically offered: Every Fall, Spring & Summer
Project credits: master's Plan B prereq: Max 18 cr per semester or summer; 10 cr total required (Plan B only)
ECP 8500 - Advances in Pharmacometrics Modeling and Simulation
Credits: 1.0 [max 6.0]
Grading Basis: S-N only
Typically offered: Every Fall & Spring
Modeling/simulation at interface between physiological/pharmacological processes. Current literature, discussion groups. Computer applications using relevant software programs. prereq: Grad student in ECP or PHM or instr consent
ECP 8501 - Pharmacometrics
Credits: 2.0 [max 3.0]
Typically offered: Periodic Fall & Spring
Theory/application of contemporary methods for analysis of concentration-time data and exposure-response relationships. prereq: ECP grad major or PHM grad major or instr consent
ECP 8502 - Introductory Population Pharmacokinetic Methods
Credits: 2.0 [max 2.0]
Typically offered: Periodic Fall, Spring & Summer
Theoretical background for using mixed effects model in population analysis. Building fixed/random effects into a pharmacostatistical model. Project allows students to become familiar with a contemporary population pharmacokinetic analysis program.
ECP 8503 - Intermediate Population PK/PD Methods
Credits: 2.0 [max 2.0]
Grading Basis: A-F only
Typically offered: Periodic Fall & Spring
This course will present the theory and hands-on application of intermediate population methods using nonlinear mixed-effects model applied to pharmacologic systems.
ECP 8504 - Modeling Biologics
Credits: 2.0 [max 2.0]
Grading Basis: A-F only
Typically offered: Periodic Fall & Spring
This course will develop computer skills to apply nonlinear regression models to describe the pharmacokinetics and pharmacodynamics of biologics. prereq: A course in basic pharmacokinetics; enrollment in the Experimental & Clinical Pharmacology or Pharmaceutics graduate program, or instructor consent
ECP 8505 - Application of physiological-based pharmacokinetic modeling(PBPK) to model-informed drug development
Credits: 2.0 [max 2.0]
Grading Basis: A-F only
Typically offered: Periodic Fall & Spring
Theory/implementation of contemporary methods for analysis and simulation of PBPK to support model-informed drug development.
ECP 8506 - Clinical Trial Simulation
Credits: 2.0 [max 2.0]
Typically offered: Every Spring
Theory/application of contemporary methods of using simulations to design more efficient/informative clinical trials. prereq: ECP grad or instr consent
PUBH 7420 - Clinical Trials: Design, Implementation, and Analysis
Credits: 3.0 [max 3.0]
Typically offered: Every Spring
Introduction to and methodology of randomized clinical trials. Design issues, sample size, operational details, interim monitoring, data analysis issues, overviews. prereq: 6451 or concurrent registration is required (or allowed) in 6451 or 7406 or instr consent
PUBH 7430 - Statistical Methods for Correlated Data
Credits: 3.0 [max 3.0]
Typically offered: Every Fall
Correlated data arise in many situations, particularly when observations are made over time and space or on individuals who share certain underlying characteristics. This course covers techniques for exploring and describing correlated data, along with statistical methods for estimating population parameters (mostly means) from these data. The focus will be primarily on generalized linear models (both with and without random effects) for normally and non-normally distributed data. Wherever possible, techniques will be illustrated using real-world examples. Computing will be done using R and SAS.
PUBH 7440 - Introduction to Bayesian Analysis
Credits: 3.0 [max 3.0]
Typically offered: Every Spring
Introduction to Bayesian methods. Comparison with traditional frequentist methods. Emphasizes data analysis via modern computing methods: Gibbs sampler, WinBUGS software package. prereq: [[7401 or STAT 5101 or equiv], [public health MPH or biostatistics or statistics] grad student] or instr consent
PUBH 7450 - Survival Analysis
Credits: 3.0 [max 3.0]
Prerequisites: 7406, [STAT 5102 or STAT 8102]
Typically offered: Every Fall
Statistical methodologies in analysis of survival data. Kaplan-Meier estimator, Cox's proportional hazards multiple regression model, time-dependent covariates, analysis of residuals, multiple failure outcomes. Typical biomedical applications, including clinical trials and person-years data. prereq: 7406, [STAT 5102 or STAT 8102]
STAT 5101 - Theory of Statistics I
Credits: 4.0 [max 4.0]
Typically offered: Every Fall
Logical development of probability, basic issues in statistics. Probability spaces. Random variables, their distributions and expected values. Law of large numbers, central limit theorem, generating functions, multivariate normal distribution. prereq: [Math 2263 or Math 2374 or Math 2573H], [CSCI 2033 or Math 2373 or Math 2243]
STAT 5102 - Theory of Statistics II
Credits: 4.0 [max 4.0]
Course Equivalencies: Stat 4102/5102
Typically offered: Every Spring
Sampling, sufficiency, estimation, test of hypotheses, size/power. Categorical data. Contingency tables. Linear models. Decision theory. prereq: 5101 or Math 5651
NSC 5461 - Cellular and Molecular Neuroscience
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall
Lectures by team of faculty, problem sets in important physiological concepts, discussion of original research papers. prereq: NSc grad student or instr consent
NSCI 5501 - Neurodegenerative Diseases, Mechanisms to Therapies
Credits: 3.0 [max 3.0]
Course Equivalencies: 02693 - Nsci 4501/Nsci 5501
Grading Basis: A-F only
Typically offered: Every Spring
With a rapid increase in population aging in western educated industrialized rich democratic (WEIRD) societies, neurodegenerative disorders such as Alzheimer?s disease have become an alarming health priority due to the current absence of disease-modifying therapies. The objective of this course is to acquire a fundamental appreciation for the most common degenerative disorders of the nervous system as well as to integrate central notions shared across these diseases and emerging concepts in the field.
PUBH 6450 - Biostatistics I
Credits: 4.0 [max 4.0]
Grading Basis: A-F only
Typically offered: Every Fall & Spring
Descriptive statistics. Gaussian probability models, point/interval estimation for means/proportions. Hypothesis testing, including t, chi-square, and nonparametric tests. Simple regression/correlation. ANOVA. Health science applications using output from statistical packages. prereq: [College-level algebra, health sciences grad student] or instr consent
PUBH 6451 - Biostatistics II
Credits: 4.0 [max 4.0]
Typically offered: Every Fall & Spring
Two-way ANOVA, interactions, repeated measures, general linear models. Logistic regression for cohort and case-control studies. Loglinear models, contingency tables, Poisson regression, survival data, Kaplan-Meier methods, proportional hazards models. prereq: [PubH 6450 with grade of at least B, health sciences grad student] or instr consent
PUBH 7420 - Clinical Trials: Design, Implementation, and Analysis
Credits: 3.0 [max 3.0]
Typically offered: Every Spring
Introduction to and methodology of randomized clinical trials. Design issues, sample size, operational details, interim monitoring, data analysis issues, overviews. prereq: 6451 or concurrent registration is required (or allowed) in 6451 or 7406 or instr consent
CMB 8361 - Neuro-Immune Interactions
Credits: 3.0 [max 3.0]
Typically offered: Fall Odd Year
Regulatory systems (neuroendocrine, cytokine, and autonomic nervous systems) linking brain and immune systems in brain-immune axis. Functional effects of bidirectional brain-immune regulation. Offered fall of even-numbered years. prereq: [MICB 5218 or equiv], [NSC 5561 or equiv]
NSC 8026 - Neuro-Immune Interactions
Credits: 3.0 [max 3.0]
Course Equivalencies: MVB 8361/NSc 8026/Psy 8026
Typically offered: Periodic Fall & Spring
Regulatory systems (neuroendocrine, cytokine, and autonomic nervous systems) linking brain and immune systems in brain-immune axis. Functional effects of bidirectional brain-immune regulation. Course is offered fall of even-numbered years. prereq: 5561, MicB 4131
PHCL 8026 - Neuro-Immune Interactions
Credits: 3.0 [max 3.0]
Typically offered: Every Fall
Regulatory systems (neuroendocrine, cytokine, autonomic nervous systems) linking brain/immune systems in brain-immune axis. Functional effects of bidirectional brain-immune regulation. prereq: MICA 8001 or equiv or instr consent
CMB 8481 - Advanced Neuropharmaceutics
Credits: 4.0 [max 4.0]
Course Equivalencies: 00781
Grading Basis: A-F or Aud
Typically offered: Fall Even Year
Delivery of compounds to central nervous system (CNS) to activate proteins in specific brain regions for therapeutic benefit. Pharmaceutical/pharmacological issues specific to direct drug delivery to CNS. prereq: instr consent
NSC 8481 - Advanced Neuropharmaceutics
Credits: 4.0 [max 4.0]
Course Equivalencies: 00781 - CMB 8481/NSc 8481/Phm 8481
Grading Basis: A-F or Aud
Typically offered: Fall Even Year
Delivery of compounds to central nervous system (CNS) to activate proteins in specific brain regions for therapeutic benefit. Pharmaceutical/pharmacological issues specific to direct drug delivery to CNS. prereq: instr consent
PHM 8481 - Advanced Neuropharmaceutics
Credits: 4.0 [max 4.0]
Course Equivalencies: MVB/NSc/Phm 8481
Grading Basis: A-F or Aud
Typically offered: Fall Even Year
Delivery of compounds to central nervous system (CNS) to activate proteins in specific brain regions for therapeutic benefit. Pharmaceutical/pharmacological issues specific to direct drug delivery to CNS. prereq: instr consent
ECP 5620 - Drug Metabolism and Disposition
Credits: 3.0 [max 3.0]
Prerequisites: Grad student or #
Grading Basis: A-F or Aud
Typically offered: Spring Even Year
Oxidatative/conjugative enzymes systems involved in human drug metabolism/disposition. Various in vitro models used to evaluate drug metabolism or chemical entity, pros/cons of each. Factors involved in conducting in vivo studies. Components used to predict in vivo drug disposition from in vivo studies. prereq: Grad student or instr consent
MICA 8002 - Structure, Function, and Genetics of Bacteria and Viruses
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall
Structure, function, and metabolism of microorganisms. Microbial genetics. Molecular virology. prereq: [One undergrad or grad course each in [microbiology, genetics, biochemistry]] or instr consent
MICA 8003 - Immunity and Immunopathology
Credits: 4.0 [max 4.0]
Typically offered: Every Fall
Lymphocyte activation, signal transduction in lymphocytes, antigen receptor genetics, antigen presentation, lymphoid anatomy, adaptive immune responses to microbes, immunodeficiency, immunopathology, cytokines, transplantation, autoimmunity. prereq: Upper level undergrad immunology course or instr consent
MICA 8010 - Microbial Pathogenesis
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Fall Even Year
Molecular mechanisms of bacterial/viral pathogenesis. Strategies of disease causation/interaction with host, regulation of virulence factors, mechanism of virulence factor transmission to other microbes. prereq: MICa grad student or instr
PHAR 6224 - Pharmacogenomics: Genetic Basis for Variability in Drug Response
Credits: 2.0 [max 2.0]
Grading Basis: A-F only
Typically offered: Every Spring
Theory/practice of pharmacogenomics. Principles of human genetics/genomics. Applications to scientific education, problems in drug therapy optimization, patient care. prereq: At least 3rd year or later in healthcare or related program or equivalent experience or instr consent
PUBH 6450 - Biostatistics I
Credits: 4.0 [max 4.0]
Grading Basis: A-F only
Typically offered: Every Fall & Spring
Descriptive statistics. Gaussian probability models, point/interval estimation for means/proportions. Hypothesis testing, including t, chi-square, and nonparametric tests. Simple regression/correlation. ANOVA. Health science applications using output from statistical packages. prereq: [College-level algebra, health sciences grad student] or instr consent
PUBH 6451 - Biostatistics II
Credits: 4.0 [max 4.0]
Typically offered: Every Fall & Spring
Two-way ANOVA, interactions, repeated measures, general linear models. Logistic regression for cohort and case-control studies. Loglinear models, contingency tables, Poisson regression, survival data, Kaplan-Meier methods, proportional hazards models. prereq: [PubH 6450 with grade of at least B, health sciences grad student] or instr consent
PUBH 7420 - Clinical Trials: Design, Implementation, and Analysis
Credits: 3.0 [max 3.0]
Typically offered: Every Spring
Introduction to and methodology of randomized clinical trials. Design issues, sample size, operational details, interim monitoring, data analysis issues, overviews. prereq: 6451 or concurrent registration is required (or allowed) in 6451 or 7406 or instr consent
ECP 5620 - Drug Metabolism and Disposition
Credits: 3.0 [max 3.0]
Prerequisites: Grad student or #
Grading Basis: A-F or Aud
Typically offered: Spring Even Year
Oxidatative/conjugative enzymes systems involved in human drug metabolism/disposition. Various in vitro models used to evaluate drug metabolism or chemical entity, pros/cons of each. Factors involved in conducting in vivo studies. Components used to predict in vivo drug disposition from in vivo studies. prereq: Grad student or instr consent
ECP 8900 - Advanced Topics in Experimental and Clinical Pharmacology
Credits: 1.0 -4.0 [max 8.0]
Typically offered: Every Fall & Spring
Topic varies depending on faculty teaching course. prereq: ECP grad program or instr consent
GCD 4034 - Molecular Genetics and Genomics
Credits: 3.0 [max 3.0]
Typically offered: Every Spring
Molecular genetics and genomics of eukaryotes. Course emphasizes mechanisms of gene regulation and how these are studied. Current strategies used to study the activity and function of genes and genomes, including the role of chromatin, will be covered. Techniques will include gene knockouts/knockdown, genome engineering, genome-wide analysis of RNA and protein expression and function, as well as genome-wide protein binding and chromatin interaction mapping. Technologies covered will include next-generations and third-generation sequencing and CRISPR-based strategies for gene modification and precision gene regulation. Students will analyze and present recent primary papers in molecular genetic and genomics.
GCD 4143 - Human Genetics
Credits: 3.0 [max 3.0]
Typically offered: Every Spring
Principles of human genetics at the molecular, cellular, individual, and populations levels. Chromosomal and biochemical disorders; gene mapping; mutation and natural selection; variation in intelligence and behavior; genetic screening, counseling and therapy. prereq: 3022 or Biol 4003 or instr consent
GCD 8073 - Genetics & Genomics in Human Health
Credits: 3.0 [max 3.0]
Typically offered: Every Spring
Application of molecular, biochemical, chromosomal, and population genetics to human variation and disease. Abnormal chromosome number and structure; abnormal enzyme, structural protein, receptor, and transport; analysis of inheritance patterns; behavioral genetics; genetic basis of common disease. Current research articles in human genetics. prereq: 8131 or BIOL 4003 or instr consent
PHAR 6224 - Pharmacogenomics: Genetic Basis for Variability in Drug Response
Credits: 2.0 [max 2.0]
Grading Basis: A-F only
Typically offered: Every Spring
Theory/practice of pharmacogenomics. Principles of human genetics/genomics. Applications to scientific education, problems in drug therapy optimization, patient care. prereq: At least 3rd year or later in healthcare or related program or equivalent experience or instr consent
PUBH 6381 - Genetics in Public Health in the Age of Precision Medicine
Credits: 2.0 [max 2.0]
Typically offered: Every Fall
Mechanisms of molecular genetics. Issues related to medical/public health genetics, including basis of human diversity, Human Genome Project, novel genetic mechanisms underlying diseases, ethical/legal issues. prereq: Grad student or professional school student or instr consent
PUBH 6450 - Biostatistics I
Credits: 4.0 [max 4.0]
Grading Basis: A-F only
Typically offered: Every Fall & Spring
Descriptive statistics. Gaussian probability models, point/interval estimation for means/proportions. Hypothesis testing, including t, chi-square, and nonparametric tests. Simple regression/correlation. ANOVA. Health science applications using output from statistical packages. prereq: [College-level algebra, health sciences grad student] or instr consent
PUBH 6451 - Biostatistics II
Credits: 4.0 [max 4.0]
Typically offered: Every Fall & Spring
Two-way ANOVA, interactions, repeated measures, general linear models. Logistic regression for cohort and case-control studies. Loglinear models, contingency tables, Poisson regression, survival data, Kaplan-Meier methods, proportional hazards models. prereq: [PubH 6450 with grade of at least B, health sciences grad student] or instr consent
PUBH 7420 - Clinical Trials: Design, Implementation, and Analysis
Credits: 3.0 [max 3.0]
Typically offered: Every Spring
Introduction to and methodology of randomized clinical trials. Design issues, sample size, operational details, interim monitoring, data analysis issues, overviews. prereq: 6451 or concurrent registration is required (or allowed) in 6451 or 7406 or instr consent