Twin Cities campus

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Twin Cities Campus

Pharmaceutics Ph.D.

Graduate Studies in Pharmaceutics
College of Pharmacy
Link to a list of faculty for this program.
Contact Information
Department of Pharmaceutics Room 9-177 Weaver-Densford Hall 308 Harvard Street SE Minneapolis, MN 55455 USA Phone: 612-624-5151 Fax: 612-626-2125
  • Program Type: Doctorate
  • Requirements for this program are current for Fall 2021
  • Length of program in credits: 48
  • This program requires summer semesters for timely completion.
  • Degree: Doctor of Philosophy
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 pharmaceutics program offers emphases in physical pharmacy, biopharmaceutics, and pharmacokinetics. Minor fields of particular value include biochemistry, biomedical engineering, biometry, chemistry, chemical engineering, mechanical engineering, molecular biology, pharmacology, and statistics.
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 3.20.
Other requirements to be completed before admission:
Undergraduate (and graduate, if applicable) scholastic records, recent GRE scores (with a preferred minimum 80% quantitative reasoning score and 3.5 analytical writing score), a statement of career goals and research interests, and three letters of recommendation. International applicants must submit results from the TOEFL (with a preferred minimum 100 total score and 23 speaking score, and a required minimum 21 writing score and 19 reading score) or IELTS (with a required minimum 6.5 total score, 6.5 reading score, and 6.5 writing score, and a preferred 6.5 speaking score). Prefer "First Class" or the equivalent on transcripts from foreign institutions. All of the above are collectively used to determine each candidate's admissibility. Fall admission is highly preferred and the deadline to apply is November 30.
Applicants must submit their test score(s) from the following:
  • GRE
International applicants must submit score(s) from one of the following tests:
  • TOEFL
  • IELTS
The preferred English language test is Test of English as Foreign Language.
Key to test abbreviations (GRE, TOEFL, IELTS).
For an online application or for more information about graduate education admissions, see the General Information section of this website.
Program Requirements
16 credits are required in the major.
8 credits are required outside the major.
24 thesis credits are required.
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.
Successful completion of program examinations and timely progress towards the degree are also required for students to remain in good standing. Required Background: Students must demonstrate sufficient background knowledge in each of the following areas: Pharmacy, Math, and Statistics. Equivalent coursework or previous experience, with approval of the program faculty, may be substituted in lieu of required background coursework.
Required Courses
Pharmaceutics Modules
PHM 8210 - Pharmacokinetics Module (1.0 cr)
PHM 8220 - Physical Pharmacy Module I (1.0 cr)
PHM 8230 - Physical Pharmacy Module II (1.0 cr)
PHM 8240 - Biopharmaceutics Module (1.0 cr)
Pharmaceutics Seminar
Register for 1 credit each semester in which presenting a seminar and for a total of 2 credits.
PHM 8100 - Seminar: Pharmaceutics (1.0 cr)
Pharmaceutics Graduate Courses: 81xx
Take two courses for a total of 2 credits from the following list:
PHM 8110 - Readings in Pharmaceutics (1.0 cr)
or PHM 8120 - Readings in Central Nervous System (CNS) Drug Delivery (1.0 cr)
or PHM 8150 - Pharmacokinetics Research Seminar (1.0 cr)
Pharmaceutics Graduate Courses: 84xx
Choose two courses from the following list for at least 8 credits:
PHM 8421 - Advanced Pharmacokinetics (4.0 cr)
or PHM 8431 - Controlled Drug and Gene Delivery: Materials, Mechanisms, and Models (4.0 cr)
or PHM 8441 - Solubility and Solid-State Properties of Drugs (4.0 cr)
or PHM 8481 - Advanced Neuropharmaceutics (4.0 cr)
Outside Coursework
Take at least 8 credits of coursework outside the major, which can include non-PHAR- and non-PHM-designated courses noted below taken to satisfy the background knowledge requirement, or other non-PHAR- and non-PHM-designated coursework. All courses must be selected in consultation with the advisor.
Pharmacy Background
PHCL 5110 - Introduction to Pharmacology (3.0 cr)
Math Background
MATH 4512 - Differential Equations with Applications (3.0 cr)
Statistics Background
PUBH 6450 - Biostatistics I (4.0 cr)
STAT 5021 - Statistical Analysis (4.0 cr)
STAT 5101 - Theory of Statistics I (4.0 cr)
STAT 5102 - Theory of Statistics II (4.0 cr)
STAT 5302 - Applied Regression Analysis (4.0 cr)
STAT 5303 - Designing Experiments (4.0 cr)
STAT 5401 - Applied Multivariate Methods (3.0 cr)
Thesis Credits
Take at least 24 doctoral thesis credits.
PHM 8888 - Thesis Credit: Doctoral (1.0-24.0 cr)
 
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· College of Pharmacy

View future requirement(s):
· Fall 2023
· Fall 2022

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PHM 8210 - Pharmacokinetics Module
Credits: 1.0 [max 2.0]
Grading Basis: S-N only
Typically offered: Every Fall
Foundational materials in pharmacokinetics for pharmaceutics graduate students.
PHM 8220 - Physical Pharmacy Module I
Credits: 1.0 [max 2.0]
Grading Basis: S-N only
Typically offered: Every Fall
First course in a two course sequence which provides foundational materials in physical pharmacy for pharmaceutics graduate students.
PHM 8230 - Physical Pharmacy Module II
Credits: 1.0 [max 2.0]
Grading Basis: S-N only
Typically offered: Every Spring
Second course in a two course sequence which provides foundational materials in physical pharmacy for pharmaceutics graduate students.
PHM 8240 - Biopharmaceutics Module
Credits: 1.0 [max 2.0]
Grading Basis: S-N only
Typically offered: Every Spring
Foundational materials in biopharmaceutics for pharmaceutics graduate students.
PHM 8100 - Seminar: Pharmaceutics
Credits: 1.0 [max 4.0]
Grading Basis: S-N or Aud
Typically offered: Every Fall & Spring
tbd prereq: Grad Phm major
PHM 8110 - Readings in Pharmaceutics
Credits: 1.0 [max 4.0]
Grading Basis: S-N or Aud
Typically offered: Every Fall & Spring
Current literature. prereq: Grad Phm major
PHM 8120 - Readings in Central Nervous System (CNS) Drug Delivery
Credits: 1.0 [max 4.0]
Grading Basis: S-N only
Typically offered: Periodic Fall & Spring
Weekly discussion of recent publications or new techniques, methods, and analyses on delivery of drugs to central nervous system. Topics vary. Informal presentations from CNS drug delivery researchers. prereq: instr consent
PHM 8150 - Pharmacokinetics Research Seminar
Credits: 1.0 [max 12.0]
Course Equivalencies: Phar 6223/Phm 8150
Grading Basis: S-N or Aud
Typically offered: Every Fall & Spring
Current concepts and literature review. prereq: Grad Phm major
PHM 8421 - Advanced Pharmacokinetics
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Spring Even Year
Topics in kinetics of drug absorption, distribution, metabolism, and excretion. Instructor consent required.
PHM 8431 - Controlled Drug and Gene Delivery: Materials, Mechanisms, and Models
Credits: 4.0 [max 4.0]
Course Equivalencies: BMEn 8431/PHM 8431
Grading Basis: A-F or Aud
Typically offered: Every Spring
Physical, chemical, physiological, cell biological, mathematical principles underlying design of delivery systems for drugs. Small molecules, proteins, genes. prereq: Differential equations course including introduction to partial differential equations or instr consent
PHM 8441 - Solubility and Solid-State Properties of Drugs
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Periodic Fall & Spring
Physical/physicochemical properties of drugs in solid state as related to drug delivery. prereq: Physical chem survey course or instr consent
PHM 8481 - Advanced Neuropharmaceutics
Credits: 4.0 [max 4.0]
Course Equivalencies: 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
PHCL 5110 - Introduction to Pharmacology
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall
This is a course for first-year students in the Graduate Program in Pharmacology. The course introduces students to the basic principles of pharmacology and focuses on molecular mechanisms of drug action. Topics covered include pharmacokinetics, pharmacodynamics, signal transduction, toxicology pharmacogenomics, and drug discovery. Prerequisites: student in the Graduate Program in Pharmacology or approval from the Course Director(s) Keywords: Introduction, Pharmacology, Molecular, Drug, Pharmacokinetics, Pharmacodynamics, Protein, Pharmacokinetics
MATH 4512 - Differential Equations with Applications
Credits: 3.0 [max 3.0]
Typically offered: Every Fall & Spring
Laplace transforms, series solutions, systems, numerical methods, plane autonomous systems, stability. prereq: 2243 or 2373 or 2573
PUBH 6450 - Biostatistics I
Credits: 4.0 [max 4.0]
Grading Basis: A-F only
Typically offered: Every Fall & Spring
This course will cover the fundamental concepts of exploratory data analysis and statistical inference for univariate and bivariate data, including: ? study design and sampling methods, ? descriptive and graphical summaries, ? random variables and their distributions, ? interval estimation, ? hypothesis testing, ? relevant nonparametric methods, ? simple regression/correlation, and ? introduction to multiple regression. There will be a focus on analyzing data using statistical programming software and on communicating the results in short reports. Health science examples from the research literature will be used throughout the course. prereq: [College-level algebra, health sciences grad student] or instr consent
STAT 5021 - Statistical Analysis
Credits: 4.0 [max 4.0]
Typically offered: Every Fall & Spring
Intensive introduction to statistical methods for graduate students needing statistics as a research technique. prereq: college algebra or instr consent; credit will not be granted if credit has been received for STAT 3011
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), (MATH 2142 or CSCI 2033 or MATH 2373 or MATH 2243)
STAT 5102 - Theory of Statistics II
Credits: 4.0 [max 4.0]
Typically offered: Every Fall & Spring
Sampling, sufficiency, estimation, test of hypotheses, size/power. Categorical data. Contingency tables. Linear models. Decision theory. prereq: [5101 or Math 5651 or instr consent]
STAT 5302 - Applied Regression Analysis
Credits: 4.0 [max 4.0]
Typically offered: Every Fall, Spring & Summer
Simple, multiple, and polynomial regression. Estimation, testing, prediction. Use of graphics in regression. Stepwise and other numerical methods. Weighted least squares, nonlinear models, response surfaces. Experimental research/applications. prereq: 3032 or 3022 or 4102 or 5021 or 5102 or instr consent Please note this course generally does not count in the Statistical Practice BA or Statistical Science BS degrees. Please consult with a department advisor with questions.
STAT 5303 - Designing Experiments
Credits: 4.0 [max 4.0]
Typically offered: Every Fall, Spring & Summer
Analysis of variance. Multiple comparisons. Variance-stabilizing transformations. Contrasts. Construction/analysis of complete/incomplete block designs. Fractional factorial designs. Confounding split plots. Response surface design. prereq: 3022 or 3032 or 3301 or 4102 or 5021 or 5102 or instr consent
STAT 5401 - Applied Multivariate Methods
Credits: 3.0 [max 3.0]
Typically offered: Periodic Fall
Bivariate and multivariate distributions. Multivariate normal distributions. Analysis of multivariate linear models. Repeated measures, growth curve, and profile analysis. Canonical correlation analysis. Principal components and factor analysis. Discrimination, classification, and clustering. pre-req: STAT 3032 or 3301 or 3022 or 4102 or 5021 or 5102 or instr consent Although not a formal prerequisite of this course, students are encouraged to have familiarity with linear algebra prior to enrolling. Please consult with a department advisor with questions.
PHM 8888 - Thesis Credit: Doctoral
Credits: 1.0 -24.0 [max 100.0]
Grading Basis: No Grade
Typically offered: Every Fall & Spring
(No description) prereq: Max 18 cr per semester or summer; 24 cr required