Curriculum

Biostatistics I - 2 units - CLRE-253

Summer

In this course you will gain an understanding of the principles of measurement of clinical data, learn to recognize data types, and to correctly identify statistical methods appropriate for analysis of a given clinical data set. You will gain experience in assembling a clinical dataset in formats suitable for analysis by STATA or other comparable statistical packages. You will also learn skills for conducting graphical and numerical exploratory data analysis, comparative tests of categorical, ordinal, and continuous data, linear and logistic regression analysis, and survival analysis by life table and Kaplan-Meier techniques.

Biostatistics II - 2 units - CLRE-254

Fall

This course gives you the skills to understand and conduct advanced bio-statistical analyses including: multiple linear and logistic regression, survival analysis, and Cox and extended Cox regression. You will become familiar with person-time rate analysis, Poisson regression, and longitudinal data analysis in the presence of missing values and varying measurement times. This course is a pre-requisite for taking advanced stat courses. (You may take an advanced stat course simultaneously with this course.)

Data Management/Informatics - 2 units - CLRE-255

Fall

This course will provide you with an orientation to database design and management, and covers key issues regarding data handling for clinical research and clinical trials. You will also become familiar with technology assessment and decision-making methods and analysis.

Epidemiology I - 2 units - CLRE-251

Summer

This course exposes you to the basic principles of epidemiology, including etiology, transmission, outbreak investigation, disease surveillance, screening, and study design.  Students will learn about cross-sectional, case-control, cohort and intervention study designs, their strengths and limitations, and how to make the proper choice of study design for conducting your own research. You will learn to identify and calculate the correct measure of risk for each study design, recognize major sources of bias, confounding and misclassification, and understand design and analysis methods of dealing with each, while becoming familiar with criteria to differentiate association from causation.

Epidemiology II - 2 units - CLRE-257

Fall

This course is designed to introduce you to researchers in various epidemiological content areas, including (but not limited to) spatial, environmental/occupational, cancer, nutrition, tobacco and perinatal/reproductive epidemiology.  Students will be exposed to a variety of methodologic considerations, including study design and conduct, measurement issues, bias, and data analysis and interpretation relevant to the unique exposures and outcomes in each content area.  Students will gain an understanding of the application of epidemiologic methods, and will be introduced to research possibilities.

Health Services Research - 2 units - CLRE-252

Winter

The main goals of this course are to educate you in identifying the most effective ways to organize, manage, finance, and deliver high quality care; reduce medical errors; and improve patient safety. You will learn to assess healthcare through the lens of business administration by exploring critical concepts in health economics, finance, and accounting. You will learn about methods to assess the cost-effectiveness of different medical interventions, as well as how to conduct research on access to care. Varied data sources and methods, including qualitative research and survey research, will also be introduced in this course.

Patient-Oriented Research I - 2 units - CLRE-250

Summer

In POR I you will learn and apply the basic elements of design, implementation, and analysis of interventional research. You will develop and present a concept proposal for a clinical trial to your peers and the course faculty and submit it as a product of the course.

Patient-Oriented Research II - 2 units - CLRE-256

Fall

POR II builds on POR I by reviewing the ethical and regulatory basis for human research. You will prepare a proposal to the UCSD (institutional Review board (IRB), participate in a mock IRB meeting as both an applicant and reviewer, and submit the completed IRB proposal as the final written submission for the course.

Scientific Communication Skills - 2 units - CLRE-259

Winter

This course covers the key elements of scientific communication skills that are designed to enhance your ability to be a successful clinical researcher. Topics covered in the course include the secrets of making good oral presentations and engaging the audience, learning how to write and prepare abstracts, acquiring the basics of grant writing and submission, and gaining knowledge on how grants are reviewed. The course includes a mock grant study section.

Translational Research Fundamentals - 2 units - CLRE-236

Summer

Students learn principles and practices of translational medicine applied to discovery and development of drugs, devices, and diagnostics.  Topics covered include biomarkers, intellectual property, omics, translational imaging, pharmacogenomics-driven treatment, and discovery and development of diagnostics, stem cell therapies, and drugs.

Experiential Learning in Clinical Research (Minimum of 4 units required):

Translational Regenerative Medicine - 2 units - CLRE-237

Winter

This course covers the basics of regenerative medicine for understanding what is a stem cell targeted therapy and what are the principles for taking a cell-based product from pre-clinical to first-in-human clinical studies.  Topics covered include the regulatory, ethical, and study design considerations for developing stem cell targeted therapies. Students will grasp the complexities of stem cell targeted therapies and be able to understand the framework for developing new products.  This course provides a good overview for those entering a field that may deliver stem cell therapies, stem cell targeted treatments, or other cellular based therapies (e.g., car-t-cell).

Applied Translational Research - 2 units - CLRE-238

TBD

Students will gain a comprehensive and integrative operational understanding of an entire life science innovation cycle, from drug idea to market and back, through case studies done by mining publicly disclosed information in teams mentored by biopharmaceutical professionals.  Prerequisites:  Translational Research Fundamentals (CLRE 236) or consent of department.

Experiential Learning in Clinical Research - 2 units - CLRE-270

TBD

This course is designed to complement and apply certain fundamental principles in the CLRE Scientific Communication course by providing a deep-dive into processes, strategies, and activities associated with publishing in the peer-review literature. Specifically, the course will provide instruction on key topics including research topic formulation, journal content types, how to draft specific manuscript elements, targeting journals and the submission process, navigating the peer-review process, types of research tools and software, how to conduct academic presentations, and strategies for translation and dissemination. In total, students will be taken through the full journey of publishing in the peer-review and also taught skills on how to ensure their research is impactful.  

Advanced Statistics Electives (Minimum of 4 units required):

Longitudinal Data Analysis - 2 units - CLRE-263

Winter

This class will introduce you to the statistical methods and techniques for analyzing medical data from longitudinal studies using PASW/SPSS software. You will gain an understanding of the challenges and statistical issues for designing and analyzing longitudinal studies, recognizing and using longitudinal data analysis methods, and performing analysis.  Prerequisites:  Biostatistics I & II (CLRE 253 & CLRE 254) or consent of department.

Advanced Regression Methods - 2 units - CLRE-265

Fall

This course will expose and familiarize you with important advanced statistical methods such as methods for numeric outcomes (Linear regression), non-linear regression, binary outcomes (Logistic regression), counts (Poisson regression), and categorical outcomes (Log-linear models.) Prerequisite: Biostatistics I (CLRE 253). Corequisite: Biostatistics II (CLRE 254) or consent of department.

Advanced Statistics Using R - 2 units - CLRE-267

Spring

This course introduces biostatistical methods used in more advanced clinical research work, including longitudinal data analysis, meta-analysis, predictive modeling (LASSO, random forests, neural networks), competing risks survival analysis.  Uses the R statistical package.  Prerequisite: Biostatistics I (CLRE 253). Corequisite: Biostatistics II (CLRE 254) or consent of department.  

General Electives (Minimum of 2 units are required):

Current Trends in Biomedical Informatics - 1 units - MED-262

Weekly talks by researchers introduce students to current research topics within BMI. Speakers are drawn from academia, health care organizations, industry, and government. This is a required course for the Biomedical Informatics track, and an elective for the Bioinformatics and Systems Biology track.

Bioinformatics Applications to Human Disease - 4 units - MED-263

Students learn background knowledge and practical skills for investigating the biological basis for human disease. Using bioinformatics applications, they: (1) query biological and genetic sequence databases relevant to human health, (2) manipulate sequence data for alignment, recombination, selection, and phylogenetic analysis, (3) normalize microarray data and identify differentially expressed genes and biomarkers between patient groups, (4) annotate protein data and visualize protein structure, and (5) search the human genome and annotate genes relevant to human diseases.

Principles of Biomedical Informatics - 4 units - MED-264

Students will understand the main challenges of computing with phenotypes, how to integrate molecular data into electronic medical records and clinical trial records. They will get an introduction to medical decision making, consisting of introduction to decision theory, clinical decision support systems, clinical predictive models, as well as biomedical ontologies, standards, and data repositories. Students will know how to structure and query clinical data sets, and how the most commonly used privacy technologies can be used to avoid confidentiality breaches in de-identified disclosed datasets.

CER/Comparative Effectiveness Research - 2 units - CLRE-266

Spring

CER is the conduct and synthesis of research comparing the benefits and harms of different interventions and strategies to prevent, diagnose, treat and monitor health conditions. This course will provide you with an update on CER methods and a review of the critical literature in this emerging field.

Modeling Clinical Data/Knowledge for Computation - 2 units - MED-267

This course will describe existing methods for representing and communicating biomedical knowledge. The class will describe existing health care standards and modeling principles required for implementing data standards, including biomedical ontologies, standardized terminologies and knowledge resources.

Statistics Concepts for Biomedical Research - 4 units - MED-268

This course focuses on standard statistical methods and experimental design as well as predictive modeling, natural language processing and information retrieval. The course also provides in-depth coverage of evaluation methods and design of experiments for machine learning and statistical learning methods. Students perform statistical analyses using R statistics software and critique statistical results in published research.

Introduction to Biomedical Natural Language Processing - 4 units - MED-277

Biomedical Natural Language Processing (BioNLP) is an essential tool in both biomedical research and clinical applications.  Students taking this course will learn how to process free text data and their integration with other types of biomedical data with BioNLP.

A Note on MED Courses

Non-CLRE courses (courses beginning with "MED") are not offered by our department; they are offered by School of Medicine (SOM). You must obtain approval to enroll in these courses PRIOR to the quarter's registration deadline. To obtain approval, you must email the instructor of the course directly for permission to enroll and include somelectives@health.ucsd.edu and somregistrar@health.ucsd.edu in the email. You must also notify the MAS Graduate Program Coordinator (clre@ucsd.edu) so it will count towards the appropriate MAS program requirement.