Masters programs in Medical Informatics which do not require GRE - Updated 2020
For admissions to masters degree program in Medical Informatics at Best Universities, GRE, GPA requirements are
Online Masters in Medical Informatics No GRE - Updated 2020
College description: The program in Biomedical Informatics emphasizes research to develop novel computational methods that can advance biomedicine. Students with a primary interest in developing new informatics methods and knowledge are best suited for this program. Students with a primary interest in the biological or medical application of existing informatics techniques may be better suited for training in the application areas themselves.The Biomedical Informatics Program is interdepartmental and offers instruction and research opportunities leading to M.S. and Ph.D. degrees in Biomedical Informatics. All students are required to complete the core curriculum requirements, and also to complete additional course work to fulfill degree requirements and pursue their technical interests and goals as specified for each degree program.The program can provide flexibility and can complement other opportunities in applied medical research at Stanford. Special arrangements may be made for those with unusual needs or those simultaneously enrolled in other degree programs within the University. Similarly, students with prior relevant training may have the curriculum adjusted to eliminate requirements met as part of prior training.The University requirements for the M.S. degree are described in the Graduate Degrees section of this bulletin.Upon entering the program, each student is assigned an academic adviser to help with course selection and monitor progress towards program milestones and degree requirements.This degree is designed for individuals who wish to undertake in-depth study of biomedical informatics with research on a full-time basis.
Students with a primary interest in the biological or medical application of existing informatics techniques may be better suited for training in the application areas themselves.The Biomedical Informatics Program is interdepartmental and offers instruction and research opportunities leading to M.S. and Ph.D. degrees in Biomedical Informatics. All students are required to complete the core curriculum requirements, and also to complete additional course work to fulfill degree requirements and pursue their technical interests and goals as specified for each degree program.Special arrangements may be made for those with unusual needs or those simultaneously enrolled in other degree programs within the University. The GRE is required for admission.The University requirements for the M.S. degree are described in the "Graduate Degrees" section of this bulletin.Upon entering the program, each student is assigned an academic adviser to help with course selection and monitor progress towards program milestones and degree requirements.This degree is designed for individuals who wish to undertake in-depth study of biomedical informatics with research on a full-time basis. Research rotations are not required, but can be done with approval of the academic adviser or training program director.This degree is designed primarily for the working professional who already has advanced training in one discipline and wishes to acquire interdisciplinary skills. Although many classes necessary for the degree are available online, some requirements may be fulfilled through implementation of an alternative plan to be approved by the program.For complete information, see the program's Coterminal Master's Degree page.Submit the University Coterminal Online Application.Submit their academic resume or curriculum vitae.Submit a one-page Statement of Purpose describing how and why the BMI program is well matched to their interests.Applicants to the coterminal M.S. programs are not required to submit GRE scores. GRE scores are recommended, especially if applicant have relatively little prior course work in quantitative and computational areas.Coterminal master’s degree candidates are expected to complete all master’s degree requirements as described in this bulletin. University requirements for the coterminal master’s degree are described in the “Coterminal Master’s Program” section. University requirements for the master’s degree are described in the "Graduate Degrees" section of this bulletin.Course transfers are not possible after the bachelor’s degree has been conferred.The University also requires that the Master’s Degree Program Proposal be completed by the student and approved by the department by the end of the student’s first graduate quarter.The program of study may focus on aspects of these disciplines including machine learning, statistical modeling, artificial intelligence, data mining, image analysis, human-computer interaction and data visualization.STATS 315A Modern Applied Statistics: Learning or CS 229 Machine LearningProgram Requirements for the Academic M.S., HCP Professional M.S., and Coterminal M.S. DegreesStudents enrolled in any of the M.S degrees must complete the program requirements in order to graduate.At least 21 units of formal letter-graded coursework are expected for all MS and PhD candidates.Completion of the core curriculum with overall GPA of 3.0.Academic M.S. students who are funded by the program are required to be a teaching assistant for one course; those students may register for 1-3 units of BIOMEDIN 290 Biomedical Informatics Teaching Methods .Individuals wishing to prepare themselves for careers as independent researchers in biomedical informatics, with applications experience in bioinformatics, clinical informatics, or imaging informatics, should apply for admission to the doctoral program. The University's basic requirements for the doctorate are discussed in the "Graduate Degrees" section of this bulletin.Students should take classes relevant to their application area interests.A cumulative GPA of 3.0 or greater to remain in good academic standing.In the first year, at least two research rotations are required.Each student is required to be a teaching assistant for two courses as assigned by the Biomedical Informatics Executive Committee; one should be completed in the first two years of study.During the third year of training, each doctoral student is required to give a thesis pre-proposal seminar that describes evolving research plans.The most important requirement for the Ph.D. degree is the dissertation.After application for Terminal Graduate Registration status and completion of 135 units, the Ph.D. candidate should register each quarter for BIOMEDIN 802 TGR PhD Dissertation so that their research effort may be counted toward the degree.The committee determines whether the student's general knowledge of the field and the details of their completed research are sufficient to be granted the doctoral degree.This paper must be approved by the student's adviser as suitable for submission to a refereed journal before the doctoral degree is conferred.Computer Science, Probability, Statistics, Machine Learning, Mathematics, EngineeringAll courses used for the BMI Ph.D. minor, except MED 255, must be taken for a letter grade and passed with an overall GPA of 3.0 or better.Courses taken at Stanford prior to that date may be counted towards the BMI Ph.D. minor degree.Stanford Ph.D. students apply using the Application for Ph.D. Minor form and must provide an unofficial Stanford transcript as well as a statement of purpose for adding the Ph.D. minor degree.Academic advisers guide students in key areas such as selecting courses, discussing research rotations, developing of teaching pedagogy, navigating policies and degree requirements, and exploring academic opportunities and professional pathways.Each student in the academic M.S. and Ph.D. degree programs also has a research adviser, chosen by mutual agreement at the end of their research rotations Research advisers and the students should have a clear, shared understanding of the scientific objectives of the student’s work, and how it fits into a research program that leads to an M.S. degree or Ph.D. degree.Graduate students are active contributors to the advising relationship, proactively seeking academic and professional guidance and taking responsibility for informing themselves of policies and degree requirements for their graduate program.For a statement of University policy on graduate advising, see the "Graduate Advising" section of this bulletin.Background in computer science can be helpful but not required.Emphasis is on intelligent systems for decision support and Semantic Web applications.Topics: introduction to bioinformatics and computational biology, algorithms for alignment of biological sequences and structures, computing with strings, phylogenetic tree construction, hidden Markov models, basic structural computations on proteins, protein structure prediction, protein threading techniques, homology modeling, molecular dynamics and energy minimization, statistical analysis of 3D biological data, integration of data sources, knowledge representation and controlled terminologies for molecular biology, microarray analysis, machine learning , and natural language text processing.Computational methods for the translation of biomedical data into diagnostic, prognostic, and therapeutic applications in medicine. Topics: multi-scale omics data generation and analysis, utility and limitations of public biomedical resources, machine learning and data mining, issues and opportunities in drug discovery, and mobile/digital health solutions.Analytic methods for determining optimal diagnostic and therapeutic decisions with applications to the care of individual patients and the design of policies applied to patient populations.Machine Learning Approaches for Data Fusion in Biomedicine.AI and machine learning are increasingly used to enable pattern discover to link such data for improvements in patient diagnosis, prognosis and tailoring treatment response.The course reviews key gene classes and key drugs in the field.To find the hidden associations within the full set of data, the university introduce methods for data-mining at the internet scale, the handling of large-scale electronic medical records data for machine learning, methods in natural language processing and text-mining applied to medical records, methods for using ontologies for the annotation and indexing of unstructured content as well as semantic web technologies.Consent of course instructors required at least one quarter prior to student enrollment in course.No programming background required though familiarity with computers and elementary math/statistics can be helpful.Methods for analyzing data from case-control and cross-sectional studies: the 2x2 table, chi-square test, Fisher's exact test, odds ratios, Mantel-Haenzel methods, stratification, tests for matched data, logistic regression, conditional logistic regression.Statistical and Machine Learning Methods for Genomics.Sample topics include: expectation maximization, hidden Markov model, Markov chain Monte Carlo, ensemble learning, probabilistic graphical models, kernel methods and other modern machine learning paradigms.Problem sets emphasize hands-on data analysis and application of methods, including re-analyses of well-known studies.The latest biological and medical imaging modalities and their applications in research and medicine. Focus is on computational analytic and interpretive approaches to optimize extraction and use of biological and clinical imaging data for diagnostic and therapeutic translational medical applications. Case studies include linking image data to genomic, phenotypic and clinical data, developing representations of image phenotypes for use in medical decision support and research applications and the role that biomedical imaging informatics plays in new questions in biomedical science.Algorithmic approaches will introduce ideas from computational genomics, machine learning and natural language processing.Deep Learning in Genomics and Biomedicine.In parallel, progress in deep neural networks are revolutionizing fields such as image recognition, natural language processing and, more broadly, AI. The course will start with an introduction to deep learning and overview the relevant background in genomics and high-throughput biotechnology, focusing on the available data and their relevance. It will then cover the ongoing developments in deep learning with the focus on the applications of these methods to biomedical data, which are beginning to produced dramatic results. Students will be introduced to and work with popular deep learning software frameworks. Prerequisites: College calculus, linear algebra, basic probability and statistics such as CS 109, and basic machine learning such as CS 229. No prior knowledge of genomics is necessary.Students create course content, including lectures, exercises, and assessments, and evaluate learning activities and outcomes.Students will be asked to reflect on their experiences and discuss future applications to informatics projects.These techniques, which draw on approaches ranging from physics-based simulation to machine learning, play an increasingly important role in drug discovery, medicine, bioengineering, and molecular biology.Emphasis is on the art of practical application.Visitor Policy • University Statement on Privacy
College description: Health Informatics knowledge and skills to tackle everyday management issues and guide large informatics projects in clinical and research settings.Lead the Evolution of Healthcare with the university Biomedical Informatics Degree.Advances in technology have resulted in vast amounts of data becoming available to researchers and healthcare administrators.The university curriculum provides professionals from an array of disciplines with the skills and confidence to understand, build, and improve informatics solutions that can help address the most significant challenges in healthcare today.Audience listens to a health informatics presentation at a master of science in biomedical informatics event.MScBMI Students develop practical application of technology to address healthcare questions.News and discussion from the university biomedical informatics program and the health informatics industry.Through improving the quality of patient care and safety by using biomedical data of patients and communities, applicant have the opportunity to affect change in individuals and the world.The BMI program covers the whole spectrum of this burgeoning field, with specific emphasis on clinical informatics, genomics, and population health.Biomedical Informatics Students Learn Practical Applications in Medical Systems.The Master of Science in Biomedical Informatics provides a strong foundation for students to readily informatics tools and techniques to a diverse range of problems in the biological sciences and medical fields.Clinicians seeking to master medical informatics methodology to move into leadership roles.Technology and research specialists looking to master content and methods specific to the biomedical sector.University of Chicago Master of Science in Biomedical Informatics.
Domestic applications will also be accepted at this deadline.The GRE is not required for admissions to the Master of Science in Biomedical Informatics.International students that require a F-1 or J-1 Visa are required to apply as full-time students.All applicants who are not US citizens or US permanent residents must take the Test of English as a Foreign Language or the test administered by the International English Language Testing SystemTo earn the degree, students must complete five core courses, four elective courses, and a capstone project that consists of three courses.Students with F1 and J1 visas are required to attend full-time.The online application system will automatically send instructions to recommenders.However, in some cases, required courses may be waived if a student has taken a similar course previously. Also, students who have taken MScBMI courses in the University of Chicago’s Graduate-Student-At-Large Program can transfer up to three courses to the MScBMI degree if admitted to the program.Background competency in biostatistics and clinical care are required for incoming students.
Health Informatics and Data Science
College description: Health Informatics and Data Science continues to remain one of the most promising fields for STEM careers. As per the the students.S. Bureau of Labor Statistics, the employment rate for candidates with health information management and analytics skills is growing at 23% each year2 .Students will work with a host organization from industry or a government agency and an academic mentor to critically analyze a real world problem, design, conceptualize and implement a solution that applies the knowledge and skills acquired during this unique Master’s program.Students will master skills in key areas such as utilizing data in electronic medical records, building physician and patient facing digital health applications, AI in healthcare, human factors engineering as it relates to patient safety, managing and analyzing data from clinical imaging modalities, healthcare security, ethical considerations in health IT and much .Graduates from the program will be ready to take on roles such as Health data scientist, Health business analyst, EHR data manager, Health technology consultant, and other related positions.The university goal is to train students to become critical thinkers, leverage advanced technical capabilities and lead the evolution of healthcare with the power of data, analytics and working in interdisciplinary teams.PROGRAM ADMISSIONS REQUIREMENTS Please read the complete admissions information found on the the Biomedical Graduate Education page.Proficiency can be demonstrated by the receipt of a bachelor’s or advanced degree from an accredited institution of higher education in the United States or from a university where English is the primary language of instructionThe M.S. in Health Informatics and Data Science is a 32-credit program that can be completed on a full-time basis in 12-months or on a part-time basis in up to 3 years.All students are required to complete a mandatory Capstone Project in the final Summer semester of the degree program.
Students will master skills in key areas such as utilizing data in electronic medical records, building physician and patient facing digital health applications, AI in healthcare, human factors engineering as it relates to patient safety, managing and analyzing data from clinical imaging modalities, healthcare security, ethical considerations in health IT and much more.GRE General Test is NOT requiredProficiency can be demonstrated by the receipt of a bachelor’s or advanced degree from an accredited institution of higher education in the United States or from a university where English is the primary language of instruction All other applicants must achieve at least a minimum score on either the TOEFL or IELTS test. Applications will not be considered without GRE or TOEFL/IELTS scores.TOEFL: A minimum score of 80 on the Test of English as a Foreign LanguageAll students are required to complete a mandatory Capstone Project in the final Summer semester of the degree program.Students are also required to maintain at least a 3.0 grade point average for all coursework.
Clark UniversityRanked 76 in Best National University.
Online Master of Health Informatics
The degree can be completed in as little as 24 months and is designed for professionals with a minimum of two years of full-time health sector experience or three years of full-time experience in any other industry.Artificial intelligence, predictive analytics, machine learning and the Internet of Medical Things are some of the emerging technologies being leveraged to transform the health care landscape.The immersion experiences provide a unique opportunity for students to supplement their online learning with in-person, real world practice.Complete dynamic multimedia coursework throughout the week, including content that offers a unique learning experience.To take the next step toward earning their online health informatics degree, reach out to an Admissions Counselor today.Because applications are reviewed as they are received, applicant are encouraged to submit their completed application as soon as possible.The Clark University is available to help applicant complete their application in time for their desired start date.Applicant also may be eligible to have the $75 application fee waived.Hold a minimum 3.0 cumulative GPA.Hold a bachelor's degree from a regionally accredited the students.S. institution of higher learning or an international institution that is accredited by the country's ministry of education or comparable governmental agency.Submit their application by the priority deadline and applicant may be eligible to have the application fee waived.Two letters of recommendation from a professional or academic reference.Webinar attendees may be eligible to have the $75 application fee waived.While international applicants will be considered for institutionally funded scholarships, eligibility for federal student aid is limited to the students.S. citizens, the students.S. permanent residents and eligible non-citizens who are currently living within the United States for purposes other than studying.Please note that international students in online degree programs are not eligible to participate in the the students.S. student visa process.Earning their online Master of Science degree in health informatics offers long-term professional flexibility.Common positions for the field include health information management directors, clinical informatics managers, clinical analysts, clinical applications specialists and nursing informatics specialists.
Master in Health Information Management
No Application Fee Next TermClasses Start: June 22This online health information management master's degree is the ideal next step for continued study of graduates of the Bachelor's in Health Information Management program or those looking to build on their skills and experience.Start their Journey Toward an Online Health Information Management DegreePart of the university mission to expand access to quality higher education means removing the barriers that may stand between applicant and their degree. That’s why applicant can apply at any time and get a decision within days of submitting all required materials — with no GRE or GMAT required.Online master's degree candidates must also submit a personal statement.To apply, use the online application.Applicant can apply at any time and get a decision within days of submitting all required materials.Integrate previous coursework and practical experience with a focus on authentic demonstration of competencies outlined by the program by synthesizing and integrating prior learning to design, develop, and execute a capstone project as a culmination of the M.S. Health Information Management program.Evaluate and create data management policies and procedures that help ensure data accuracy and integrity through focused attention on the application of health information management principlesTuition rates for SNHU's online degree programs are among the lowest in the nation.Degree/CertificatesThat said, the university offer excellent resources, such as academic advising, to make earning their degree as stress-free as possible.With a master's degree in health information management applicant can be prepared to take on management and leadership roles within large healthcare settings, while also being qualified to manage the technology, security and compliance needs of their organization.
Yale UniversityRanked 3 in Best National University.
Admissions Requirments Plant Molecular Biology
College description: The science of health informatics drives innovation-defining future approaches to information and knowledge management in biomedical research, clinical care, and public health. Health informatics comprises applied research and the practice of informatics across clinical and public health domains. Informatics researchers develop, introduce, and evaluate new biomedically motivated methods in areas as diverse as data mining, natural language or text processing, cognitive science, human-computer interaction, decision support, databases and algorithms for analyzing large amounts of data generated in public health, clinical research and genomics proteomics.The MS degree will provide well-rounded training in Health Informatics, with a balance of core courses from such areas as information sciences, clinical informatics, clinical research informatics, consumer health and population health informatics, data science and broadly health policy, social and behavioral science, biostatistics and epidemiology. First-year courses survey the field the typical second-year courses are technical and put greater emphasis on mastering the skills in health informatics. The degree also requires a capstone project in the second year.Students with a master’s degree or other related degrees may be allowed to enroll in additional elective courses in lieu of required courses, if they can demonstrate prior proficiency in required courses.
The university encourage applications from international candidates as well as domestic candidates. The GRE Subject Test is not required but can be used as support in application materials.
College description: Please note: This program is located at the Health Sciences Campus in the College of Physicians and Surgeons. The degree for this program is conferred by GSAS, but program specifics, such as admissions, degree requirements, and financial aid, are administered through the College of Physicians and Surgeons.Biomedical Informatics studies the flow of information in health care, medical education, and biomedical research. The field explores techniques for assessing current information practices, determining the information needs of health-care providers and patients, assisting in molecular biology and genomic research, developing interventions using computer technology, and evaluating the impact of those interventions. This research seeks to optimize the use of information in order to improve the quality of health care, reduce cost, provide better education for providers and patients, and conduct biomedical research effectively. Columbia University offers two programs in Biomedical Informatics: an advanced degree program leading to the MA, MPhil, and PhD degrees, and a postdoctoral training program. The degree program focuses on the theory and application of information science in the domains of clinical medicine, public health, imaging, and bioinformatics. The program trains students for academic careers as researchers and teachers as well as for professional positions in biomedical research and health-care information processing.
The university 2020 application will be available in June.Please note that Columbia University in the City of New York has updated the university GRE policy and no longer require this test. The university look forward to working with applicant as applicant complete their application.Log in to continue an application.Create an account to start a new application.
Center for Genetic Medicine
College description: Master of Science in Health Services and Outcomes Research.Master of Science in Healthcare Quality and Patient Safety.Informatics is the study of information: how applicant collect it, how applicant organize it and how applicant use it to solve problems. The Health and Biomedical Informatics track applies the concepts and techniques of informatics to healthcare and biomedical research. This track contains many different sub-fields within the broader field of health and biomedical informatics. A discussion of the various domains of informatics can be found at the Health Biomedical Informatics page in the Preventive Medicine site.Each track is affiliated with one of the two major integrated programs at Feinberg: the Driskill Graduate Program in Life Sciences and the university Health Sciences Integrated Program. Prospective students are encouraged to review both programs before selecting the informatics track that is right for them.The following guidelines will help applicants identify the appropriate PhD program at Feinberg. These are an abbreviated version of the guide created by the Health and Biomedical Informatics department.Emphasis on clinical informatics, clinical research informatics and public health informatics.Required to take distribution of courses in the health sciences domain.Ability to take graduate level biology, genetics, microbiology or related topics required.MED_INF 406 Decision Support Systems and Health Care.HQS 440 Fundamental Methods for Healthcare Quality and Patient Safety.HSR 425 Introduction to Quantitative Methods in Health Services and Outcomes Research.HSR 460 Applied Ethical Issues in Health Services Research.MED_INF Legal, Ethical Social Issues in Informatics.PH 425 Introduction to GIS and Spatial Analysis for Public Health.
The number of applications varies from year to year, but in general Northwestern receives approximately 250 applications per year from students of diverse backgrounds The online application process opens in October, and the deadline is generally in early January.Courses that are required for biology majors.Prerequisites do not need to be completed before the application is sent int, but they must be completed before matriculation.Courses cannot be taken pass/fail and must be taken for a grade that contributes to their final GPA.Applicants with a GPA less than 3.0 may be considered if they have post degree coursework demonstrating higher grades or another graduate degree with a GPA of 3.0 or higherApplicant must take the general GRE no later than December for admission in the fall. Official scores must be taken no more than five years before the time of application and must come directly from the Educational Testing Service.Applicant do not need to retake the GRE if applicant have earned a PhD; the GRE requirement is not waived for students with a prior master’s degree or MD/DO.The Northwestern University does not accept MCAT scores in place of GRE scores.GRE scores are just one factor taken into consideration by the admissions committee. Due to the variability in the scoring of the Analytical Writing section of the GRE, the Northwestern University consider the Verbal and Quantitative sections to be most predictive of the applicant’s capabilities.The minimum acceptable paper-based TOEFL score is 600The minimum acceptable computer-based TOEFL is 100Apply online here; applicant will be required to submit a $95 application fee.Three letters of recommendation: These must be submitted online through the application. Letters from employers and volunteer experience supervisors are also acceptable. It is not advisable to submit letters from personal or family friends.Personal essay: This is submitted on the online application. Please disregard the general instructions on the application regarding what to address in the personal essay. Their essay should describe their reasons for pursuing a degree in genetic counseling at Northwestern and examples of experiences that have motivated applicant personally.The GRE requirement will be waived for applicants who have earned a PhD. The GRE requirement is not waived for students with a prior master’s degree or MD/DO. The Program does not accept MCAT scores in place of GRE scores.Supplemental form:Use this formto list prerequisite courses that are completed/in progress as well as any volunteering or shadowing experience. Please upload the form to their online application under “Supplemental Document 1."All students are required to sign up for the National Matching Services before applying.The applications are reviewed by the program's leadership, then 77 applicants are invited to Northwestern for interviews, which are held in late March and April.Northwestern University reserves the right to change without notice any statement concerning, but not limited to, rules, policies, tuition, fees, curricula and courses.
Cornell UniversityRanked 15 in Best National University.
Healthcare Policy Research
College description: Informatics is the study of the practical use of information and information technologies in healthcare. The Health Informatics master track trains in the effective use of informatics to organize, coordinate, manage and deliver high quality care. Students will learn healthcare organization and delivery, standards and interoperability, health data management, environmental health informatics, clinical informatics, biostatistics, healthcare transformation, and .The university prepare students for a wide range of careers — including those in healthcare delivery organizations, insurance, and consulting. Potential job opportunities include a variety of positions in data analysis, policy analysis, health information technology, process improvement, quality assessment, team management, organizational strategy, and leadership.A concentration in health informatics from Weill Cornell Medicine includes a curriculum that provides a strong foundation in healthcare research methods with specialized training in health information systems, impact assessment, data analytics and computational techniques.This degree track has close ties to other departments within Weill Cornell Medicine and Cornell University, Cornell Tech, and NewYork-Presbyterian Hospital.Students come from backgrounds in healthcare, biomedical sciences, and computer science.Local institutions collaborating with Weill Cornell Medicine include NewYork-Presbyterian Hospital, Memorial Sloan Kettering Cancer Center, the Hospital for Special Surgery, The Rockefeller University, the State Health, the New York City Health and Mental Hygiene, and .The university alumni hold positions in data and policy analysis, health information technology, process improvement, quality assessment, and .
Admission to graduate degree programs in Healthcare Policy & Research at Weill Cornell Medicine requires that applicants hold a baccalaureate degree from an accredited college or university.Their online application will include an application fee in the amount of $75.Their career goals and how this degree will help applicant achieve themOfficial transcripts will be required upon acceptance, however students may submit unofficial transcripts with their initial applicationTOEFL Scores scores are required for all international students, who have not pursued a degree at an institution that teaches their curriculum in English.