For admissions to masters degree program in Data Science at Best Universities, GRE, GPA requirements are
Online Masters in Data Science No GRE
Masters programs in Data Science which do not require GRE
Harvard UniversityRanked 2 in Best National University.
College description: Applying for a Harvard master degree in Data Science.Applicant will find the Data Science master degree in the GSAS online applicationunder the listings for Engineering and Applied Sciences. On the Degree Program Selection page choose Engineering and Applied Sciences as the program, Data Science as the Area of Study, and S.M. as the degree.As an interdisciplinary field, data science attracts students with varied backgrounds.Prerequisites the university expect from applicants include knowledge of calculus and linear algebra, familiarity with probability and statistical inference, fluency in at least one programming language such as python or R, and an understanding of basic computer science concepts.Applicant should get letters of recommendation from the three people applicant think will be able to make the best case for why applicant are an outstanding applicant for this degree program.The Data Science master degree is a full-time on-campus program.Applicants should not to both the Data Science and Computational Science and Engineering programs.
A Harvard master degree in Data Science.The application asks for biographical information, information their previous eductaional background, transcripts, GRE general test scores, a personal statement, and 3 letters of recommendation. TOEFL or IELTS scores are also required for all students whose degrees are from institutions where the primary language of instruction was not English.Applicant can also describe their training at one of their jobs or thorugh self study in their personal statement.Applicant should get letters of recommendation from the three people applicant think will be able to make the best case for why applicant are an outstanding applicant for this degree program.The Harvard University does not use a cutoff for GRE scores. The university take a holistic view of the application and consider GRE scores in the context of everything else provided in the application materials.There are minimum scores required for the TOEFL or IELTS. International students required to take those tests must achieve at least a sore of 80 on the TOEFL or 6.5 on the IELTS.
Yale UniversityRanked 3 in Best National University.
Statistics and Data Science
All applications must include the GRE general scores and, for persons whose native language is not English, TOEFL scores The GRE subject test is not required for the M.A. program.Unlike at some universities, there is no automatic admission into the Ph.D. program for students who complete the terminal M.A. degree a completely new application is required.Recommendations for admission are based solely on academic grounds: factors such as the potential for a student to successfully complete the course work, past academic record and work experience, letters of recommendation, standardized test scores, and motivation for studying Statistics.
University of Virginia School of Engineering and Applied Science
College description: The Data Science program balances theory and applications so that applicant can advance their career long-term.The rigorous curriculum focuses on the fundamentals of computer science, statistics, and applied mathematics, while incorporating real-world examples. With options to study online and on-site in state-of-the-art facilities at the Johns Hopkins Applied Physics Laboratory, students learn from practicing engineers and data scientists.
The GRE is not required for admission to this program.
Master of Science in Analytics
College description: MSDS 452-DL : Web and Network Data Science.The course introduces the mathematics of network science, including random graph, small world, and preferential attachment models. Students use methods of network science with applications to information and social networks.Prerequisites: MSDS 420-DL Database Systems and Data Preparation or CIS 417 Database Systems Design and Implementation and MSDS 422-DL Practical Machine Learning or CIS 435 Practical Data Science Using Machine Learning.
The admissions review committee assesses each application holistically, taking into account all materials including, but not limited to, transcripts, letters of recommendation, and exam scores.Unofficial TOEFL or IELTS score report for International candidates who will do not hold a degree from an institution where English is the primary language of instruction.
Brown UniversityRanked 16 in Best National University.
College description: Applicant can for the 5th-Year Master Degree, but this program is not suitable for concurrent degrees.
Note that the university need a complete application, including letters of recommendation and official score reports, before the university can make admission decisions.Acceptable forms of documentation are FAFSA, a letter from a college university financial aid office, receipt of GRE fee waiver, unemployment verification, or other forms that provide significant documentation of financial hardship.Here is the TOEFL IELTS waiver policy.The GRE General exam is not required. If applicant wish to send a GMAT score , applicant will need to put this information in a separate line or page in the document applicant upload for their personal statement document, as there is no specific field for a GMAT on the application.One possible reason for this problem is that applicant are eligible for a TOEFL waiver, but it has not yet been processed.
College description: Graduate Program in Applied and Computational Mathematics and Statistics.
TOEFL or IELTS for non-native speakers of English.
Information and Data Science
College description: The Master of Information and Data Science is a part-time professional degree program that prepares students to work effectively with heterogeneous, real-world data and to extract insights from the data using the latest tools and analytical methods. The program emphasizes the importance of asking good research or business questions as well as the ethical and legal requirements of data privacy and security.The curriculum includes research design and applications for data and analysis, storing and retrieving data, exploring and analyzing data, identifying patterns in data, and effectively visualizing and communicating data.Retrieve, organize, combine, clean, and store data from multiple sources .Appropriate data mining, statistical analysis, and machine learning techniques to detect patterns and make predictions .Understand the ethical and legal requirements of data privacy and security.A bachelor’s degree or recognized equivalent from an accredited institution .If the applicant comes from a country or political entity where English is not the official language, adequate proficiency in English to do graduate work, as evidenced by a TOEFL score of at least 90 on the iBT test, 570 on the paper-and-pencil test, or an IELTS Band score of at least 7 on a 9-point scale and.The Graduate Council views academic degrees not as vocational training certificates, but as evidence of broad training in research methods, independent study, and articulation of learning.
The Master of Information and Data Science is an part-time professional degree program that prepares students to work effectively with heterogeneous, real-world data and to extract insights from the data using the latest tools and analytical methods.If the applicant comes from a country or political entity where English is not the official language, adequate proficiency in English to do graduate work, as evidenced by a TOEFL score of at least 90 on the iBT test, 570 on the paper-and-pencil test, or an IELTS Band score of at least 7 on a 9-point scale and.Applicants may only to one single degree program or one concurrent degree program per admission cycle.Letters of recommendation: Applicants may request letters of recommendation through the application system. Hard copies of recommendation letters must be sent directly to the program, not the Graduate Division.Official TOEFL score reports must be sent directly from Educational Test Services TOEFL and IELTS score reports are only valid for two years.Applications are evaluated holistically on a combination of prior academic performance, GRE GMAT score, work experience, statement of purpose, and letters of recommendation.Official Graduate Record Examination General Test or Graduate Management Admission Test scores.A high level of quantitative ability as demonstrated by scores in the top 15 percent in the Quantitative section of either the GRE or GMAT, five years of technical work experience, or significant work experience that demonstrates their quantitative abilities.The ability to communicate effectively, as demonstrated by strong scores in the Verbal and Writing sections of either the GRE or GMAT, academic performance, or professional experience.Official Test of English as a Foreign Language scores for applicants whose academic work has been in a country other than the US, UK, Australia, or English-speaking Canada.Consequently, applicants are not required to submit GRE or GMAT scores. However, applicants are required to submit three letters of recommendation and additional short answer essays.Course must be taken for a letter grade to fulfill degree requirements.Research Design and Applications for Data and Analysis:It is responsible for tremendous advances in technology, from personalized product recommendations to speech recognition in cell phones. Course must be taken for a letter grade to fulfill degree requirements.Applied Machine Learning:
Data Science for Public Policy
College description: The program aims to instill students with data science skills and public policy expertise so they may become highly marketable graduates capable of contributing to public sector, non-profit, and private organizations.Core coursework encompasses these broad thematic areas Quantitative Social Science, Foundations of Public Policy, Civic Data Science, Ethics and Law, and Communication. Students also complete six elective credits and participate in Data Science for Action Seminars.The MS-DSPP full-time program is designed for both the students.S. and international recent college graduates with some background in statistics, economics, mathematics, or computer science who are interested in developing technical data skills for public sector work. A bachelor’s degree is required.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 language of instruction for the entire institutionThe Master of Science in Data Science for Public Policy is a 39 credit degree program, divided into core courses and elective courses. Students complete the full-time M.S. degree in two years. Students must earn at least a B average in order to graduate.
A bachelor’s degree is required.Allow applicants to track recommendations received or not received and follow up with recommenders who still need to submit their appraisals .Expedite the processing of the recommendations, which will be included in the online application once submitted.Official GRE or GMAT ScoresThe 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 language of instruction for the entire institutionSubmission of an official Test of English as a Foreign Language score report with a minimum score of approximately 100The TOEFL and IELTS must be received directly from the appropriate testing organization.The Master of Science in Data Science for Public Policy is a 39 credit degree program, divided into core courses and elective courses. Students complete the full-time M.S. degree in two years. Students must earn at least a B average in order to graduate.
— School of Data Science
College description: The Data Science for the Public Good Forum builds on the Biocomplexity Institute highly successful and distinctive DSPG research platform that leverages cutting-edge public policy analytics and unprecedented data access, and serves as an honest broker to identify, visualize, and understand the full complement of interests that affect the public good.As central programs of the Forum, the Distinguished Speaker Series and Annual Symposium will bring together key public and private stakeholders to discuss how doing data science can support evidence-based policymaking and innovation to enhance the quality of life where the university all live, learn, work, and play.Data Science for the Public Good Distinguished Speaker Series.Data Science for the Public Good Forum Sponsors.
There is no predetermined minimum required GRE score.The University of Virginia-Main Campus does not make average GRE scores available, but in the past, admitted students typically had scores of at least 80th percentile on the quantitative section and 60th percentile on the verbal section. Please keep in mind that the GRE is only one part of the application.Applicant must self-report either their GRE, or GMAT, or MCAT scores on the application.If applicant wish to have their official GMAT scores sent, request that GMAC send an official score report to UVA, searching University of Virginia and then selecting Data Science as the program.Not generally, but the university can use an old GMAT GRE score even if ETS will no longer issue a report, provided applicant have a copy of the score report.An additional statement summarizing the applicant’s relevant quantitative technical work experience will be required through the online application.The TOEFL IELTS requirement will be waived automatically for an applicant who submits an application with evidence of these circumstances. All other international applicants must self-report either a TOEFL or IELTS score on the applicationThe minimum internet-based TOEFL score requirement is 90The minimum paper-based TOEFL score requirement is 600. Applicants may submit scores from the International English Language Testing System instead of TOEFL scores.The TOEFL IELTS must be taken within the last two years to be considered valid.
MS in Spatial Data Science
College description: The M.S. in Computer Science Data Science provides students with a core background in Computer Science and specialized algorithmic, statistical, and systems expertise in acquiring, storing, accessing, analyzing and visualizing large, heterogeneous and real-time data associated with diverse real-world domains including energy, the environment, health, media, medicine, and transportation.Applicants whose background is not in computer science may consider the M.S. in Computer Science
Applicants to this program are expected to have a previous degree in science, technology, engineering, math or a related social science with at least a 3.0 overall GPA and satisfactory GRE Test results.A minimum of 32 units with an overall cumulative GPA of at least 3.0 is required for the Master of Science in Spatial Data Science.Please Note: Requirements for graduation, course offerings, course availability, track offerings, and any other degree requirements are subject to change.A minimum cumulative GPA of 3.0 is required for graduation.Submit an electronic copy of official transcripts and other degree related documents through the graduate applicationGRE General Test: Satisfactory and valid test scores. Valid GRE scores must be dated within five years of the start of the intended application semester.For possible exemption from additional language requirements, applicant must achieve an Internet Based TOEFL score of 90, with no less than 20 on each section or an IELTS score of 6.5, with no less than 6 on each band score.
Tufts UniversityRanked 27 in Best National University.
College description: The Master of Science in Data Science , administered jointly by the Departments of Computer Science and Electrical and Computer Engineering, prepares students for future careers and or further study in Data Science. The M.S.D.S. is a one-year program that may be completed either in 9 or 12 months of study.Data infrastructure and systems: those systems and strategies that are core to interacting with data, including computer networks, computer security, internet-scale systems, cloud computing, and others.Data analysis and interfaces: those components of computing concentrated around effective human interaction with computers, including human-computer interaction, graphics, visualization, and others.Computational and theoretical aspects of data science: foundations including information theory, signal and image processing, and numerical analysis.Practice of Data science: examples of effective use of Data Science in practice, including case studies and applications of Data Science principles to real-world problems.Prerequisites for the M.S.D.S. include a Bachelor of Science degree in a Science, Technology, Engineering, or Mathematics field. Applicants with Bachelor degrees in non-STEM fields may begin study with a Certificate in Data Science that, in an additional term, gives the applicant a sample of the program.Requirements for the degree include a minimum of 30 semester-hour units of study, and must include Electrical Engineering 104 and Computer Science 119, 135.One course in computational and theoretical aspects of data analysis.A course in the practice of Data Science, or a master project in Data Science.
Prerequisites for the M.S. in Data Science include a bachelor’s degree in a STEM field, including Mathematics, Science, Engineering, Computer Science, or a related discipline. Applicants with bachelor’s degrees in non-STEM fields can begin study with a Certificate in Data Science that, in an additional term or year, gives the applicant a sample of the program.GRE not required for current Tufts applying to the M.S. degree program.GRE scores may be waived for part-time students with five years of industry experience who are the students.S. citizens or permanent residents.
PhD in Data Science NYU Center
College description: University of Pittsburgh chancellor Patrick Gallagher calls the volume of healthcare data in the United States staggering. Gallagher made the comments Monday at a joint news conference with Carnegie Mellon University and … Continue reading Pitt, CMU and UPMC Announce Multimillion Dollar Health Care Data Research Initiative.… After a ton of work like that, applicant have a nice set of data to which applicant fit simple statistical models and then it looks super easy to someone who either doesn’t know the data collection and cleaning process or doesn’t care. This poses a major public relations problem for serious data scientists.On March 12, he added to that noteworthy roster when Eric … Continue reading LYNFORD LECTURER ERIC SCHADT USES BIG DATA TO CONSTRUCT PREDICTIVE MODELS OF DISEASE THAT COULD CHANGE THE FACE OF MEDICINE.The team behind the visualization used statistical missing data methods to approximate the true number of migrants, which is often difficult to identify due to illegal migration or varying recording and enforcement standards from country to … Continue reading Visualizing International Migration.The City Health Dashboard: Organizing Public Health Data.
NYU students enrolled in a Courant graduate degree must also submit a new application.All supporting application materials must be received no later than the announced deadlines.All recommendation letters must be submitted through the system.The New York University does not accept GMAT scores.For the TOEFL, there is a recommended minimum score of 100 on the internet-based test.The GRE is required for the application.The TOEFL IELTS requirement is waived if their baccalaureate or master’s degree was completed at an institution where the language of instruction is English.
Goergen Institute for Data Science
College description: Students participated in a one semester course consisting of three one month long modules, entitled Methods In Data Enabled Research Into Human Behavior And Its Cognitive And Neural Mechanisms . Each module immediately engaged students in hands-on experience with tools and methods of computer or cognitive science.Students learned core concepts in computer vision through a series of hands-on exercises, from basic image processing to deep learning methods, culminating in the creation of a system for generating English language captions for arbitrary images.The following semester, the students participated in Practicum In Data Enabled Research Into Human Behavior And Its Cognitive And Neural Mechanisms . In this course, trainees worked in mixed teams of computer science and brain and cognitive sciences PhD students to develop an artifact that addressed a research question and or infrastructure need.The university propose to design a computer model that can classify aphasic speech in the auditory and text domains.If the university build a model that can diagnose aphasia, the university can use the weights from the model to assess the relative importance of different speech characteristics in diagnosis.Project contributions: the university group of brain and cognitive sciences and computer science students investigated whether introducing visual information the face aids in speech perception in humans and neural networks.Ben is a second year brain and cognitive sciences PhD student working with Brad Mahon.This is immediately useful because interviewers are far interested in applicant if applicant can what applicant know to real-world problems and data sets.Weilun Ding is an MS student in data science with a concentration in brain and cognitive sciences at the University of Rochester.Natalia Galant is an MS in data science.Carol Jew is a third year graduate student in the Brain and Cognitive Sciences at the University of Rochester.Nathan Kent is a second year PhD student in the Computer Science department at the University of Rochester.Priyanka Mehta is a first year PhD student in the Brain and Cognitive Sciences department working with Ben Hayden.Parker is a first-year computer science PhD student, working on natural language processing with Daniel Gildea.Sudhanshu is a first year MS student in computer science.Sharong Yan is a third year graduate student.The course has provided me with new perspectives that led me to consider pursuing a career as a data scientist.Talk presented at the 40th Conference of the Cognitive Science Society, Madison, Wisconsin.
The University of Rochester do not require a GRE score.All parts of the GRE are important.
Master of Science in Analytics Georgia Institute of Technology
College description: The Institute for Data Engineering and Science provides a unified point to connect government, industry, and academia to advance foundational research, and accelerate the adoption of Big Data technology. IDEaS leverages expertise and resources from throughout Georgia Tech colleges, research labs, and external partners, to define and pursue grand challenges in data science foundations and in data-driven discovery.Unstructured and dynamic data analysis, deep learning, data mining interactive ML underpin big data foundations and applications.Driving predictive, preventive, personalized care using big data sets from genomics, systems biology, proteomics, health records.High performance systems, middle-ware, algorithms, applications, software, and frameworks for data-driven computing.Data analytics improves energy production, transmission, distribution, utilization.Streaming sub linear algorithms, sampling sketching techniques, high-dimensional analysis for big data analytics.College Skyrocketing Stature, Global Impact Highlights of Galil Legacy as Dean of Computing.A growing volume of information from satellites and other sources is leading many federal agencies to consider commercial cloud services to store and distribute the data. A policy paper published February 7 in the journal Science urges caution the design of these commercial cloud partnerships and possible imposition of user fees.New TRIPODS X Awards Target Data Science Solutions in Science, Engineering, and Mathematics.Georgia Tech Award Equips Coda’s Data Center with New Supercomputer.The Women in Data Science Workshop is the kickoff event of the First Annual Data Science Forum.Machine Learning in Science and Engineering Conference.The second-annual MLSE conference highlights advances in research that utilize methods of artificial intelligence and the development of new machine learning algorithms designed for science and engineering problems.
The Analytical Tools track provides students with a greater understanding of the quantitative methodology of analytics: select, build, solve, and analyze models using methodology such as parametric and non-parametric statistics, regression, forecasting, data mining, machine learning, optimization, stochastics, and simulation.Interest in analytics, and a high level of ability that has been demonstrated within past performance on appropriate coursework and or industry experience as well as standardized testing .
Data Science and Engineering
College description: The Master degree in Architecture-based Enterprise Systems Engineering is intended to educate senior engineers and engineering managers to the problems and emerging solution approaches that can enable their enterprises to better respond to the challenges of globally distributed operations in complex, highly dynamic, event-driven environments. An integrated perspective that merges the views of management and engineering communities is increasingly recognized as one of the cornerstones of a successful approach to enterprise complexity and is a key aspect of the AESE program.The MAS degree program is self-funded and there are no available discounts. The standard Educational Fee and Non-resident Tuition is waived however, MAS students are required to pay a per-unit course fee set by the program.Five years of professional work experience post bachelor degree required.The UC San Diego Master Degree in Climate Science and Policy equips professionals with the knowledge they need to improve society response to climate change. It is focused on development of local capacity and science-based management tools. The program is designed to teach current and future professionals climate science from the scientific, economic and policy perspectives, as well as provide important cultural and communications skills.This is a unique graduate degree program that develops the in-depth knowledge and skills necessary to perform valid, credible research.This degree is an entirely self-supporting program, because it does not receive any state funding.Completion of the MAS program in Clinical Research requires the student to complete a mentored clinical research study to fulfill the thesis requirement of the degree.Two years of professional work experience post bachelor degree recommended.This degree is an entirely self-supporting program, because it does not receive any state funding, and there are currently no discounts available to UC employees.The UC San Diego Master Degree in Marine Biodiversity and Conservation equips professionals with the knowledge they need to improve conservation of marine biodiversity in the world most diverse and threatened eco-regions.
Please Note: The GRE is ONLY recommended for those with less than two years of work experience. If applicant have than two years of work experience, applicant do NOT need to report GRE scores as they will not affect their application. The university will not provide any information regarding average GRE scores of admitted students.TOEFL