Comprehensive Exam Track: Total Credit Hours Required to Finish the Degree ( 36 Credit Hours ) as Follows
Specialization Requirements
Students must pass all of the following courses
|
Course Number |
Course Name |
Weekly Hours |
Cr. Hrs. |
Prerequisite |
||
|---|---|---|---|---|---|---|
|
Theoretical |
Practical |
|||||
| 153946000 | PRINCIPLES OF CLINICAL RESEARCH | This course provides an overview of the principles and practices of clinical research. Topics covered include ethical, regulatory and legal issues in clinical research, risks of clinical research, managing patient safety in clinical research, patient perspectives on clinical research, biostatistics and study design, development and conduct of studies, design of clinical trials and studies and data management in clinical research and trials. Special emphasis will be placed on the opportunities associated with big data and data science in clinical research. | 3 | - | 3 |
- |
| 153946010 | FUNDAMENTALS OF BIOSTATISTICS | This course provides a foundation in the concepts, methods and techniques of biostatistics. Topics covered include an overview of statistics and probability, sampling distributions, estimation, one-sample, two-sample and multi-sample hypothesis testing, use of nonparametric methods, variance analysis, regression and correlation methods, design and analysis of epidemiologic studies and analysis of survival data and person-time data. Special emphasis will be placed on applying and interpreting biostatistics applications in healthcare. | 3 | - | 3 |
- |
| 153946020 | HEALTHCARE DATA ANALYTICS | This course examines the application of data analytics and data modeling in healthcare. Topics covered include collecting and analyzing health information statistics, obtaining data from clinical information systems, and mining biomedical research for data. Special emphasis will be placed on the use of statistical techniques such as probability, hypothesis testing and confidence interval estimation for normally distributed data as well as the use of regression models in data analytics. | 3 | - | 3 |
- |
| 153946030 | EPIDEMIOLOGIC RESEARCH METHODS | This course provides an overview of the concepts and tools of epidemiologic research. Topics covered include disease frequency in populations, overview of epidemiologic study designs, sources of data on disease occurrence, confounding and its control, randomized trials, cohort studies, case-control studies, disease screenings, outbreaks and evaluating the effects of policies on health. Special emphasis will be placed on epidemiological data analysis and research. | 3 | - | 3 |
153946000 PRINCIPLES OF CLINICAL RESEARCH This course provides an overview of the principles and practices of clinical research. Topics covered include ethical, regulatory and legal issues in clinical research, risks of clinical research, managing patient safety in clinical research, patient perspectives on clinical research, biostatistics and study design, development and conduct of studies, design of clinical trials and studies and data management in clinical research and trials. Special emphasis will be placed on the opportunities associated with big data and data science in clinical research. |
| 153946040 | CLINICAL EPIDEMIOLOGY | This course provides a foundation in the principles and methods of research affecting the outcome of illness. Topics covered include frequency, abnormality and diagnosis of illness, principles of risk, exposure to disease, prognosis, treatment and prevention, chance and cause as well as knowledge management in clinical epidemiology. Special emphasis will be placed on how clinical epidemiology methods can be incorporated into the decision-making process of clinical medicine. | 3 | - | 3 |
153946000 PRINCIPLES OF CLINICAL RESEARCH This course provides an overview of the principles and practices of clinical research. Topics covered include ethical, regulatory and legal issues in clinical research, risks of clinical research, managing patient safety in clinical research, patient perspectives on clinical research, biostatistics and study design, development and conduct of studies, design of clinical trials and studies and data management in clinical research and trials. Special emphasis will be placed on the opportunities associated with big data and data science in clinical research. |
| 153946050 | MACHINE LEARNING FOR HEALTH SCIENCES | This course provides an overview of the use of machine learning and artificial intelligence in healthcare. Topics covered include the applications of artificial intelligence in healthcare, types and uses of healthcare data, machine learning in healthcare, how to perform machine learning, evaluating machine learning models and machine learning and AI ethics. Special emphasis will be placed on the future of healthcare including the evolving uses of machine learning in healthcare. | 3 | - | 3 |
153946010 FUNDAMENTALS OF BIOSTATISTICS This course provides a foundation in the concepts, methods and techniques of biostatistics. Topics covered include an overview of statistics and probability, sampling distributions, estimation, one-sample, two-sample and multi-sample hypothesis testing, use of nonparametric methods, variance analysis, regression and correlation methods, design and analysis of epidemiologic studies and analysis of survival data and person-time data. Special emphasis will be placed on applying and interpreting biostatistics applications in healthcare. |
| 153946060 | CLINICAL TRIALS | This course provides an overview of the methodology of clinical trials. Topics covered include the objectives and phases of clinical trials, ethical issues in the design and conduct of trials, defining the study question and population, selecting a study design, estimating a sample size, specifying the randomization procedure, managing patient recruiting and adherence, establishing a data and safety monitoring plan, assessing data, interpreting the trial results and creating a plan for closing out the trial. Special emphasis will be placed on evaluating the outcomes of the trial against initial objectives and other studies as well as reporting and disseminating results. | 3 | - | 3 |
153946000 PRINCIPLES OF CLINICAL RESEARCH This course provides an overview of the principles and practices of clinical research. Topics covered include ethical, regulatory and legal issues in clinical research, risks of clinical research, managing patient safety in clinical research, patient perspectives on clinical research, biostatistics and study design, development and conduct of studies, design of clinical trials and studies and data management in clinical research and trials. Special emphasis will be placed on the opportunities associated with big data and data science in clinical research. |
| 153946070 | BIOINFORMATICS | This course provides a foundation in bioinformatics and the ways in which bioinformatics can be used as a set of tools for retrieving, analyzing and interpreting biological data. Topics covered include an overview of genetics and genomes, next generation sequencing, function prediction, sequence assembly, epigenomics, bioinformatics of gene editing, effects of single nucleotide variants and structural bioinformatics and drug discovery. Special emphasis will be placed on the scientific issues that connect biomedical science, patient care, public health and data science. | 3 | - | 3 |
153946010 FUNDAMENTALS OF BIOSTATISTICS This course provides a foundation in the concepts, methods and techniques of biostatistics. Topics covered include an overview of statistics and probability, sampling distributions, estimation, one-sample, two-sample and multi-sample hypothesis testing, use of nonparametric methods, variance analysis, regression and correlation methods, design and analysis of epidemiologic studies and analysis of survival data and person-time data. Special emphasis will be placed on applying and interpreting biostatistics applications in healthcare. |
| 153946080 | INFECTIOUS DISEASE EPIDEMIOLOGY | This course provides an overview of the principles of infectious disease. Topics covered include epidemiological theory, infectious disease dynamics, prevention of infectious disease, outbreak epidemiology, epidemiologic study design, microbiology tools for epidemiologists, molecular epidemiology and infectious disease as well as coverage of healthcare associated infections, airborne infections, infections transmitted by blood and body fluids and vector-borne and parasitic infections. Special emphasis will be placed on emerging and new infectious diseases as well as vaccine development and treatment. | 3 | - | 3 |
153946030 EPIDEMIOLOGIC RESEARCH METHODS This course provides an overview of the concepts and tools of epidemiologic research. Topics covered include disease frequency in populations, overview of epidemiologic study designs, sources of data on disease occurrence, confounding and its control, randomized trials, cohort studies, case-control studies, disease screenings, outbreaks and evaluating the effects of policies on health. Special emphasis will be placed on epidemiological data analysis and research. |
| 153946090 | GENETIC EPIDEMIOLOGY | This course provides an overview of the field of genetic epidemiology and associated research methods. Topics covered include key genetic concepts, genomic technology, family-based linkage studies in genetic epidemiology, genetic association studies, non-Mendelian genetics, gene-environment interactions and epistasis as well as statistical analysis of data from these studies. Special emphasis will be placed on translating the results of genetic epidemiology into promoting health and preventing disease in both families and populations. | 3 | - | 3 |
153946030 EPIDEMIOLOGIC RESEARCH METHODS This course provides an overview of the concepts and tools of epidemiologic research. Topics covered include disease frequency in populations, overview of epidemiologic study designs, sources of data on disease occurrence, confounding and its control, randomized trials, cohort studies, case-control studies, disease screenings, outbreaks and evaluating the effects of policies on health. Special emphasis will be placed on epidemiological data analysis and research. |
Students must pass ( 6 ) credit hours from any of the following courses
|
Course Number |
Course Name |
Weekly Hours |
Cr. Hrs. |
Prerequisite |
||
|---|---|---|---|---|---|---|
|
Theoretical |
Practical |
|||||
| 153946100 | DATA VISUALIZATION | This course is introduction to the theory and concepts of data visualization and the techniques used to create visual representation of large amounts of data. Topics covered include data representation, data and task abstraction, validation, tables and spatial data and maps and other channels. The emphasis will be on developing data visualization from a variety of sources and effectively communicating results. | 3 | - | 3 |
- |
| 153946110 | NATURAL LANGUAGE PROCESSING | This course provides an overview of the ways that computers can process interpret written and spoken language and the role of natural language processing in artificial learning. Topics covered include processing text, classifying text, analyzing sentence structure and meaning, information extraction speech recognition and sentiment analysis. Emphasis will be placed on recent developments in computational linguistics and machine learning. | 3 | - | 3 |
- |
| 153946120 | GLOBAL HEALTH | This course provides an overview of global diseases, programs, systems and policies. Topics covered include measures of health and disease in populations, infectious diseases, public health infrastructure, management and planning for global health, pharmaceuticals, innovation and technology in global health, health and the economy, international trade and health and global health governance and diplomacy. Special emphasis will be placed on health equity and the future of global health. | 3 | - | 3 |
- |
| 153946130 | QUANTITATIVE METHODS FOR EPIDEMIOLOGY RESEARCH | The course provides an overview of contemporary health research methods with a focus on the integration of epidemiology, biostatistics and quantitative research methodology. Topics covered include data sources in healthcare, methods of data collection in healthcare research, case-control and cohort studies, intervention studies, systemic reviews and meta-analysis, probability distributions, hypothesis testing and application of Bayesian methods in healthcare research. Special emphasis will be placed on using advanced statistical techniques in epidemiologic research. | 3 | - | 3 |
153946030 EPIDEMIOLOGIC RESEARCH METHODS This course provides an overview of the concepts and tools of epidemiologic research. Topics covered include disease frequency in populations, overview of epidemiologic study designs, sources of data on disease occurrence, confounding and its control, randomized trials, cohort studies, case-control studies, disease screenings, outbreaks and evaluating the effects of policies on health. Special emphasis will be placed on epidemiological data analysis and research. |
| 153946140 | LEGAL AND ETHICAL ISSUES IN HEALTHCARE | This course examines the ethical, legal, and regulatory issues in health care and provides an overview of the impact on healthcare organizations. Topics covered include a study of ethics in traditional medicine and biotechnology, data privacy and confidentiality, use of patient-specific health information, legal issues related to electronic-based health information and the role of the health management professional in safeguarding patient rights. Special emphasis will be placed on the unique ethical, legal and regulatory issues that exist in healthcare delivery in the Middle East. | 3 | - | 3 |
- |
| 153946150 | SEMINAR IN EPIDEMIOLOGY | This seminar will focus on contemporary issues and challenges in epidemiology. Topics will vary based on emerging question in epidemiology but may include: aging, bioinformatics, biostatistics, cancer epidemiology, cardiovascular and neurologic disorders, clinical epidemiology, environmental and occupational epidemiology, genetic epidemiology, infectious disease epidemiology, reproductive perinatal and neonatal epidemiology and social epidemiology. Special emphasis will be placed on the use of data science in epidemiologic research. | 3 | - | 3 |
153946030 EPIDEMIOLOGIC RESEARCH METHODS This course provides an overview of the concepts and tools of epidemiologic research. Topics covered include disease frequency in populations, overview of epidemiologic study designs, sources of data on disease occurrence, confounding and its control, randomized trials, cohort studies, case-control studies, disease screenings, outbreaks and evaluating the effects of policies on health. Special emphasis will be placed on epidemiological data analysis and research. |
Thesis\Treatise Track: Total Credit Hours Required to Finish the Degree ( 36 Credit Hours ) as Follows
Specialization Requirements
Students must pass all of the following courses plus ( 6 ) credit hours for the Thesis
|
Course Number |
Course Name |
Weekly Hours |
Cr. Hrs. |
Prerequisite |
||
|---|---|---|---|---|---|---|
|
Theoretical |
Practical |
|||||
| 153946000 | PRINCIPLES OF CLINICAL RESEARCH | This course provides an overview of the principles and practices of clinical research. Topics covered include ethical, regulatory and legal issues in clinical research, risks of clinical research, managing patient safety in clinical research, patient perspectives on clinical research, biostatistics and study design, development and conduct of studies, design of clinical trials and studies and data management in clinical research and trials. Special emphasis will be placed on the opportunities associated with big data and data science in clinical research. | 3 | - | 3 |
- |
| 153946010 | FUNDAMENTALS OF BIOSTATISTICS | This course provides a foundation in the concepts, methods and techniques of biostatistics. Topics covered include an overview of statistics and probability, sampling distributions, estimation, one-sample, two-sample and multi-sample hypothesis testing, use of nonparametric methods, variance analysis, regression and correlation methods, design and analysis of epidemiologic studies and analysis of survival data and person-time data. Special emphasis will be placed on applying and interpreting biostatistics applications in healthcare. | 3 | - | 3 |
- |
| 153946020 | HEALTHCARE DATA ANALYTICS | This course examines the application of data analytics and data modeling in healthcare. Topics covered include collecting and analyzing health information statistics, obtaining data from clinical information systems, and mining biomedical research for data. Special emphasis will be placed on the use of statistical techniques such as probability, hypothesis testing and confidence interval estimation for normally distributed data as well as the use of regression models in data analytics. | 3 | - | 3 |
- |
| 153946030 | EPIDEMIOLOGIC RESEARCH METHODS | This course provides an overview of the concepts and tools of epidemiologic research. Topics covered include disease frequency in populations, overview of epidemiologic study designs, sources of data on disease occurrence, confounding and its control, randomized trials, cohort studies, case-control studies, disease screenings, outbreaks and evaluating the effects of policies on health. Special emphasis will be placed on epidemiological data analysis and research. | 3 | - | 3 |
153946000 PRINCIPLES OF CLINICAL RESEARCH This course provides an overview of the principles and practices of clinical research. Topics covered include ethical, regulatory and legal issues in clinical research, risks of clinical research, managing patient safety in clinical research, patient perspectives on clinical research, biostatistics and study design, development and conduct of studies, design of clinical trials and studies and data management in clinical research and trials. Special emphasis will be placed on the opportunities associated with big data and data science in clinical research. |
| 153946040 | CLINICAL EPIDEMIOLOGY | This course provides a foundation in the principles and methods of research affecting the outcome of illness. Topics covered include frequency, abnormality and diagnosis of illness, principles of risk, exposure to disease, prognosis, treatment and prevention, chance and cause as well as knowledge management in clinical epidemiology. Special emphasis will be placed on how clinical epidemiology methods can be incorporated into the decision-making process of clinical medicine. | 3 | - | 3 |
153946000 PRINCIPLES OF CLINICAL RESEARCH This course provides an overview of the principles and practices of clinical research. Topics covered include ethical, regulatory and legal issues in clinical research, risks of clinical research, managing patient safety in clinical research, patient perspectives on clinical research, biostatistics and study design, development and conduct of studies, design of clinical trials and studies and data management in clinical research and trials. Special emphasis will be placed on the opportunities associated with big data and data science in clinical research. |
| 153946050 | MACHINE LEARNING FOR HEALTH SCIENCES | This course provides an overview of the use of machine learning and artificial intelligence in healthcare. Topics covered include the applications of artificial intelligence in healthcare, types and uses of healthcare data, machine learning in healthcare, how to perform machine learning, evaluating machine learning models and machine learning and AI ethics. Special emphasis will be placed on the future of healthcare including the evolving uses of machine learning in healthcare. | 3 | - | 3 |
153946010 FUNDAMENTALS OF BIOSTATISTICS This course provides a foundation in the concepts, methods and techniques of biostatistics. Topics covered include an overview of statistics and probability, sampling distributions, estimation, one-sample, two-sample and multi-sample hypothesis testing, use of nonparametric methods, variance analysis, regression and correlation methods, design and analysis of epidemiologic studies and analysis of survival data and person-time data. Special emphasis will be placed on applying and interpreting biostatistics applications in healthcare. |
| 153946060 | CLINICAL TRIALS | This course provides an overview of the methodology of clinical trials. Topics covered include the objectives and phases of clinical trials, ethical issues in the design and conduct of trials, defining the study question and population, selecting a study design, estimating a sample size, specifying the randomization procedure, managing patient recruiting and adherence, establishing a data and safety monitoring plan, assessing data, interpreting the trial results and creating a plan for closing out the trial. Special emphasis will be placed on evaluating the outcomes of the trial against initial objectives and other studies as well as reporting and disseminating results. | 3 | - | 3 |
153946000 PRINCIPLES OF CLINICAL RESEARCH This course provides an overview of the principles and practices of clinical research. Topics covered include ethical, regulatory and legal issues in clinical research, risks of clinical research, managing patient safety in clinical research, patient perspectives on clinical research, biostatistics and study design, development and conduct of studies, design of clinical trials and studies and data management in clinical research and trials. Special emphasis will be placed on the opportunities associated with big data and data science in clinical research. |
| 153946070 | BIOINFORMATICS | This course provides a foundation in bioinformatics and the ways in which bioinformatics can be used as a set of tools for retrieving, analyzing and interpreting biological data. Topics covered include an overview of genetics and genomes, next generation sequencing, function prediction, sequence assembly, epigenomics, bioinformatics of gene editing, effects of single nucleotide variants and structural bioinformatics and drug discovery. Special emphasis will be placed on the scientific issues that connect biomedical science, patient care, public health and data science. | 3 | - | 3 |
153946010 FUNDAMENTALS OF BIOSTATISTICS This course provides a foundation in the concepts, methods and techniques of biostatistics. Topics covered include an overview of statistics and probability, sampling distributions, estimation, one-sample, two-sample and multi-sample hypothesis testing, use of nonparametric methods, variance analysis, regression and correlation methods, design and analysis of epidemiologic studies and analysis of survival data and person-time data. Special emphasis will be placed on applying and interpreting biostatistics applications in healthcare. |
Students must pass ( 6 ) credit hours from any of the following courses
|
Course Number |
Course Name |
Weekly Hours |
Cr. Hrs. |
Prerequisite |
||
|---|---|---|---|---|---|---|
|
Theoretical |
Practical |
|||||
| 153946080 | INFECTIOUS DISEASE EPIDEMIOLOGY | This course provides an overview of the principles of infectious disease. Topics covered include epidemiological theory, infectious disease dynamics, prevention of infectious disease, outbreak epidemiology, epidemiologic study design, microbiology tools for epidemiologists, molecular epidemiology and infectious disease as well as coverage of healthcare associated infections, airborne infections, infections transmitted by blood and body fluids and vector-borne and parasitic infections. Special emphasis will be placed on emerging and new infectious diseases as well as vaccine development and treatment. | 3 | - | 3 |
153946030 EPIDEMIOLOGIC RESEARCH METHODS This course provides an overview of the concepts and tools of epidemiologic research. Topics covered include disease frequency in populations, overview of epidemiologic study designs, sources of data on disease occurrence, confounding and its control, randomized trials, cohort studies, case-control studies, disease screenings, outbreaks and evaluating the effects of policies on health. Special emphasis will be placed on epidemiological data analysis and research. |
| 153946090 | GENETIC EPIDEMIOLOGY | This course provides an overview of the field of genetic epidemiology and associated research methods. Topics covered include key genetic concepts, genomic technology, family-based linkage studies in genetic epidemiology, genetic association studies, non-Mendelian genetics, gene-environment interactions and epistasis as well as statistical analysis of data from these studies. Special emphasis will be placed on translating the results of genetic epidemiology into promoting health and preventing disease in both families and populations. | 3 | - | 3 |
153946030 EPIDEMIOLOGIC RESEARCH METHODS This course provides an overview of the concepts and tools of epidemiologic research. Topics covered include disease frequency in populations, overview of epidemiologic study designs, sources of data on disease occurrence, confounding and its control, randomized trials, cohort studies, case-control studies, disease screenings, outbreaks and evaluating the effects of policies on health. Special emphasis will be placed on epidemiological data analysis and research. |
| 153946100 | DATA VISUALIZATION | This course is introduction to the theory and concepts of data visualization and the techniques used to create visual representation of large amounts of data. Topics covered include data representation, data and task abstraction, validation, tables and spatial data and maps and other channels. The emphasis will be on developing data visualization from a variety of sources and effectively communicating results. | 3 | - | 3 |
- |
| 153946110 | NATURAL LANGUAGE PROCESSING | This course provides an overview of the ways that computers can process interpret written and spoken language and the role of natural language processing in artificial learning. Topics covered include processing text, classifying text, analyzing sentence structure and meaning, information extraction speech recognition and sentiment analysis. Emphasis will be placed on recent developments in computational linguistics and machine learning. | 3 | - | 3 |
- |
| 153946120 | GLOBAL HEALTH | This course provides an overview of global diseases, programs, systems and policies. Topics covered include measures of health and disease in populations, infectious diseases, public health infrastructure, management and planning for global health, pharmaceuticals, innovation and technology in global health, health and the economy, international trade and health and global health governance and diplomacy. Special emphasis will be placed on health equity and the future of global health. | 3 | - | 3 |
- |
| 153946130 | QUANTITATIVE METHODS FOR EPIDEMIOLOGY RESEARCH | The course provides an overview of contemporary health research methods with a focus on the integration of epidemiology, biostatistics and quantitative research methodology. Topics covered include data sources in healthcare, methods of data collection in healthcare research, case-control and cohort studies, intervention studies, systemic reviews and meta-analysis, probability distributions, hypothesis testing and application of Bayesian methods in healthcare research. Special emphasis will be placed on using advanced statistical techniques in epidemiologic research. | 3 | - | 3 |
153946030 EPIDEMIOLOGIC RESEARCH METHODS This course provides an overview of the concepts and tools of epidemiologic research. Topics covered include disease frequency in populations, overview of epidemiologic study designs, sources of data on disease occurrence, confounding and its control, randomized trials, cohort studies, case-control studies, disease screenings, outbreaks and evaluating the effects of policies on health. Special emphasis will be placed on epidemiological data analysis and research. |
| 153946140 | LEGAL AND ETHICAL ISSUES IN HEALTHCARE | This course examines the ethical, legal, and regulatory issues in health care and provides an overview of the impact on healthcare organizations. Topics covered include a study of ethics in traditional medicine and biotechnology, data privacy and confidentiality, use of patient-specific health information, legal issues related to electronic-based health information and the role of the health management professional in safeguarding patient rights. Special emphasis will be placed on the unique ethical, legal and regulatory issues that exist in healthcare delivery in the Middle East. | 3 | - | 3 |
- |
| 153946150 | SEMINAR IN EPIDEMIOLOGY | This seminar will focus on contemporary issues and challenges in epidemiology. Topics will vary based on emerging question in epidemiology but may include: aging, bioinformatics, biostatistics, cancer epidemiology, cardiovascular and neurologic disorders, clinical epidemiology, environmental and occupational epidemiology, genetic epidemiology, infectious disease epidemiology, reproductive perinatal and neonatal epidemiology and social epidemiology. Special emphasis will be placed on the use of data science in epidemiologic research. | 3 | - | 3 |
153946030 EPIDEMIOLOGIC RESEARCH METHODS This course provides an overview of the concepts and tools of epidemiologic research. Topics covered include disease frequency in populations, overview of epidemiologic study designs, sources of data on disease occurrence, confounding and its control, randomized trials, cohort studies, case-control studies, disease screenings, outbreaks and evaluating the effects of policies on health. Special emphasis will be placed on epidemiological data analysis and research. |
Hidden Text