Masters programs in Data Science which do not require GRE - Updated 2020
For admissions to masters degree program in Data Science at Best Universities, GRE, GPA requirements are
Online Masters in Data Science No GRE - Updated 2020
Yale UniversityRanked 3 in Best National University.
Statistics and Data Science
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.
Johns Hopkins University has rolling admissions for the program, so there is no official deadline or standard timeframe for the admissions process.The GRE is not required for admission to this program.To request this switch, complete the Change of Program application form.
MS in Data Science Admissions
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.
Applicants must hold a bachelor's degree from a regionally accredited institution or its foreign equivalent. Work or research experience in the field of study is desirable but not necessarily a requirement. The Graduate Record Examination is not required, but strong scores bolster chances for admission.Please note that courses completed in the certificate program cannot be transferred to the corresponding graduate degree.Submit a nonrefundable application fee of $75Supplemental materials, with the exception of transcripts, must be uploaded to the online application. Applicants will be notified once all materials have been received and the application is complete.If applicant are currently enrolled, please submit an official transcript showing courses in-progress. A course-by-course evaluation will translate courses, degrees and grades to the students.S. equivalency.Two letters of recommendation focusing on academic and professional achievement and abilityTheir application will be evaluated by the MSDS Admissions Committee.The statement of purpose demonstrates if a student's academic and professional goals are appropriate for this degree. This statement also helps the committee to determine if the prospective student possesses the necessary writing skills and intellectual maturity for succeeding in the program.The letters of recommendation serve to underscore the applicant's commitment to graduate education and ability to succeed in graduate level work and the field after completing the degree.
Brown UniversityRanked 16 in Best National University.
Master Degree
College description: Applicant can for the 5th-Year Master Degree, but this program is not suitable for concurrent degrees.
This is considered a STEM program for OPT extension purposesApplications have to be submitted completely before the deadline of March 15th to be considered. Applications are reviewed on a rolling basis and no applications will be accepted after the deadline.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. Note that the Brown University is still able to view their application materials in the meantime.Applicant can apply for the 5th-Year Master's Degree, but this program is not suitable for concurrent degrees.
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 online, 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 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. MIDS features a project-based approach to learning and encourages the pragmatic application of a variety of different tools and methods to solve complex problems.Apply appropriate data mining, statistical analysis, and machine learning techniques to detect patterns and make predictions;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 ; andApplicants Who Already Hold a Graduate DegreeThe 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. Therefore, applicants who already have academic graduate degrees should be able to pursue new subject matter at an advanced level without the need to enroll in a related or similar graduate program.Programs may consider students for an additional academic master’s or professional master’s degree only if the additional degree is in a distinctly different field.Applicants admitted to a doctoral program that requires a master’s degree to be earned at Berkeley as a prerequisite will be permitted to undertake the second master’s degree, despite the overlap in field.Applicants with doctoral degrees may be admitted for an additional doctoral degree only if that degree program is in a general area of knowledge distinctly different from the field in which they earned their original degree. For example, a physics PhD could be admitted to a doctoral degree program in music or history; however, a student with a doctoral degree in mathematics would not be permitted to add a PhD in statistics.Applicants who hold the PhD degree may be admitted to a professional doctorate or professional master’s degree program if there is no duplication of training involved.Applicants may apply only to one single degree program or one concurrent degree program per admission cycle.Transcripts: Applicants may upload unofficial transcripts with their application for the departmental initial review. If the applicant is admitted, then official transcripts of all college-level work will be required. If applicant have attended Berkeley, upload their unofficial transcript with their application for the departmental initial review. If applicant are admitted, an official transcript with evidence of degree conferral will not be required.Letters of recommendation: Applicants may request online letters of recommendation through the online application system. Hard copies of recommendation letters must be sent directly to the program, not the Graduate Division.Evidence of English language proficiency: All applicants from countries or political entities in which the official language is not English are required to submit official evidence of English language proficiency. However, applicants who, at the time of application, have already completed at least one year of full-time academic course work with grades of B or better at a US university may submit an official transcript from the US university to fulfill this requirement.Courses that will be completed after the application is submitted, andOfficial TOEFL score reports must be sent directly from Educational Test Services TOEFL and IELTS score reports are only valid for two years.Visit the Berkeley Graduate Division application page.Applications are evaluated holistically on a combination of prior academic performance, GRE/GMAT score, work experience, statement of purpose, and letters of recommendation.A bachelor’s degree or its recognized equivalent from an accredited institution.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.A Statement of Purpose that clearly indicates professional career goals and reasons for seeking the degree.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.Research Design and Applications for Data and AnalysisDeep Learning in the Cloud and at the EdgeNatural Language Processing with Deep LearningOffered three times a year, each four- to five-day immersion will be custom crafted to deliver additional learning, networking, and community-building opportunities.Student Learning Outcomes: Be able to design, reason about, and implement algorithms for solving computational problems.DATASCI W201Research Design and Applications for Data and Analysis3 UnitsCourse must be taken for a letter grade to fulfill degree requirements.Research Design and Applications for Data and Analysis: Read MoreResearch Design and Applications for Data and Analysis: Read LessTopics include exploratory analysis and descriptive statistics, probability theory and the foundations of statistical modeling, estimators, hypothesis testing, and classical linear regression.Intermediate competency in calculus is required.This course introduces the fundamental knowledge and skills of data engineering that are required to be effective as a data scientist. As these fundamentals of data engineering are introduced, learners will interact with data and data processes at various stages in the pipeline, understand key data engineering tools and platforms, and use and connect critical technologies through which one can construct storage and processing architectures that underpin data science applications.Fundamentals of Data Engineering: Read MoreKnowledge of database management including SQL is recommended but not requiredIt is responsible for tremendous advances in technology, from personalized product recommendations to speech recognition in cell phones. This course provides a broad introduction to the key ideas in machine learning. Course must be taken for a letter grade to fulfill degree requirements.Applied Machine Learning: Read MoreApplied Machine Learning: Read LessStudent Learning Outcomes: Analyze data using exploratory visualization.Key to this area of inquiry is the insight that correlation does not necessarily imply causality.DATASCI W251Deep Learning in the Cloud and at the Edge3 UnitsDeep Learning in the Cloud and at the Edge: Read MoreA degree of fluency is expected with the basics of operating systems (e.g., Linux and the Internet TechnologiesDeep Learning in the Cloud and at the Edge: Read LessDATASCI W261Machine Learning at Scale3 UnitsStudents will gain hands-on experience in Apache Hadoop and Apache Spark.Machine Learning at Scale: Read MoreMachine Learning at Scale: Read LessDATASCI W266Natural Language Processing with Deep Learning3 UnitsThe university brains have evolved language-specific circuitry that helps us learn it very quickly; however, this also means that University of California-Berkeley has great difficulty explaining how exactly meaning arises from sounds and symbols. This course is a broad introduction to linguistic phenomena and the university attempts to analyze them with machine learning. The university will cover a wide range of concepts with a focus on practical applications such as information extraction, machine translation, sentiment analysis, and summarization.Natural Language Processing with Deep Learning: Read MoreNatural Language Processing with Deep Learning: Read LessCentral topics include linear regression, causal inference, identification strategies, and a wide-range of time series models that are frequently used by industry professionals.Natural Language Processing, machine learning, artificial intelligence, statistics, speech recognition.
Tufts UniversityRanked 27 in Best National University.
Graduate Programs
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.Dual Degree Master's ProgramDevelop their innovation, leadership and management skills and build their technical depth with the Dual Degree Master's Program. Applicant’ll earn two degrees: an M.S. offered jointly by the Department of Computer Science and the Department of Electrical and Computer Engineering, and an M.S. Innovation & Management Applicant earn both degrees in an accelerated time frame and at a reduced cost.COMP 135 Introduction to Machine Learning and Data MiningEight more credit hours are required in categories a-c in consultation with the student’s advisor.Technical foci: Statistical Signal Processing , Inverse Problems, Compressed Sensing, Information Theory, Convex optimization, Machine learning; Application areas: Algorithms for geophysical signal processing, Compressed Sensing architectures and evaluation, video and Image data acquisition and processing, bioengineering-metabolic networksMachine learning, Probabilistic models, Optimization, Clinical informaticsMachine learning, Graphical models, Computational sustainability- GRE scores may be waived for part-time students with five years of industry experience who are the students.S. citizens or permanent residents.
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.
See the university application page for more details about the standardized test scores the University of Rochester is seeking.If the other parts of their application are particularly strong. The committee will look at their application as a whole.Applicants whose native language is not English are strongly encouraged to upload a one page essay written in English. Pursing an advanced degree takes enormous effort, particularly when the language and culture are not their own.The University of Rochester do not require a GRE score.All parts of the GRE are important.Their offer letter will state whether or not applicant need to take the summer bridging course.If for some reason, applicant are unable to make it to the University of Rochester during the summer semester and their offer required matriculation for the summer bridging program, the Graduate Admissions Committee reserves the right to rescind their acceptance.The degree must be completed within five years of matriculation to the program.At this time, the university only take applications for a fall admission cycle.The amount of tuition for the MS program will vary depending on whether a partial tuition waiver is offered within the acceptance letter.The Greene Center for Career Education and Preparation is a resource students in the university program use to prepare themselves for careers and assist with their job search.Some companies and national laboratories do require US citizenship or permanent residency , or have limited offers for foreign nationals.
Data Science
College description: The explosion of data in today’s world is rapidly shaping the landscape of the university lives. Through a structured curriculum that provides foundational knowledge as well as application skills, students in the Data Science program learn confront the most complex problems across both government and private industry using data-driven decisions.Data Science is an emerging field that aims to draw actionable conclusions from data. It uses techniques and theories from the broader areas of statistics, computer science, and mathematics. Its applications are in many fields including business, engineering, natural sciences, social sciences, humanities, and health care.The STEM-designated Master of Science degree in Data Science provides a deep foundation in statistical analysis and programming. Graduates of the MS in Data Science data science techniques to the solution of real world problems, communicate findings, and effectively present results using data visualization tools.Developed through a collaborative effort between the Departments of Statistics, Mathematics, Physics, Economics, Geography and Political Science, the Data Science Program gives students cutting-edge tools for analyzing Big Data and teaches them extract the insights that are changing the way the university live, work, and communicate.Fall M.S: April 1 Certificate: 1 July.In an essay of 250 500 words, state their purpose in undertaking graduate study in their chosen field.Please note: international students who require a student visa from GW are not eligible to for admission to the certificate program.
Through a structured curriculum that provides foundational knowledge as well as application skills, students in the Data Science program learn how to confront the most complex problems across both government and private industry using data-driven decisions.Its applications are in many fields including business, engineering, natural sciences, social sciences, humanities, and health care.The STEM-designated Master of Science degree in Data Science provides a deep foundation in statistical analysis and programming. It also offers knowledge of the application domain, in addition to project management skills.TOEFL: 550 on paper-based or 80 on Internet-basedM.S. Two academic letters of recommendationGraduate Certificate: One letter of recommendationTranscripts are required from all colleges and universities attended, whether or not credit was earned, the program was completed, or the credit appears as transfer credit on another transcript. Unofficial transcripts from all colleges and universities attended must be uploaded to their online application. Official transcripts are required only of applicants who are offered admission.The English translation alone should be uploaded into their application.In an essay of 250 – 500 words, state their purpose in undertaking graduate study in their chosen field. Also discuss their related qualifications, including collegiate, professional, and community activities, and any other substantial accomplishments not already mentioned on the application.
Online Masters in Data Science Degree
College description: ANY INDIRECT, INCIDENTAL, SPECIAL, CONSEQUENTIAL, OR EXEMPLARY DAMAGES WHICH MAY BE INCURRED BY applicant, HOWEVER CAUSED AND UNDER ANY THEORY OF LIABILITY. THIS SHALL INCLUDE, BUT NOT BE LIMITED TO, ANY LOSS OF GOODWILL OR BUSINESS REPUTATION, ANY LOSS OF DATA SUFFERED, COST OF PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES, OR OTHER INTANGIBLE LOSS .
SMU considers all applications holistically, without placing emphasis on any one specific factor.Hold a bachelor's degree or its recognized equivalent from a regionally accredited institution.Official Graduate Record Examination scores are required. The GRE requirement can be waived if applicant have three or more years of industry experience in a related field or a previous master's degree. If an applicant cannot produce a GRE score they may submit a Graduate Management Admission Test score instead.Bachelor's degree in a quantitative discipline such as statistics, applied mathematics, computer science or engineering;Official Graduate Record Examination scoresApplicant must complete the entire application form and provide all required documents to be considered for admission to the program.A nonrefundable $75 application fee, which can be paid online, is required.One letter from a professional or academic reference is required. Applicant may submit up to three letters of recommendation total.Applicants should be thoughtful about selecting recommenders for their application. Their recommender should know applicant well and be able to speak to their ability to succeed in a master's degree program.A professional résumé or curriculum vitae is required.The Statement of Purpose should explain their interest in earning their M.S. in Data Science from SMU. The statement should include how their educational and professional background have prepared applicant to succeed in a master's degree program and how applicant will be an asset to the SMU community.Applicants whose native language is not English must provide Official Test of English as a Foreign Language scores or International English Language Testing System scoresHas earned a bachelor's or graduate degree from an English speaking institution.
M.S. in Applied Data Science Checklist
College description: Getting their foot in the door for a coveted data science position may not be as hard to achieve as applicant think.If applicant’re just getting started, applicant’ll want to figure out which data science skills are essential for applicant to pick up.This combination of skills will open the doors to an entry-level data science position that can be the beginning of a fun and challenging data science career.Data can come in all sizes and all formats, but in most cases, data is collected and stored in databases. Having a strong understanding of databases and the ability to run queries is essential for data scientists. Without it, applicant won’t be able to access their data.Now, applicant’ll likely want to do something with the data in their database: manipulate it, look for patterns, or analyze it.R is a programming language for statistical computing and graphics. R focuses on user friendly data analysis, statistics and graphical models. Learning even some basic skills in R will save applicant time creating graphics and other visual representations of their data. Applicant can either spend hours of time creating and refining visualizations by hand, or applicant can know a few lines of R programming that can both find hidden patterns in their data and create graphs to visualize them.A good data scientist will be able to retrieve and analyze data, but a great data scientist will also be able to communicate their findings to a broader audience, such as a boss, a board of executives, or the general public.Cover of An Introduction to Data Science by Jeff Stanton.An Introduction to Data Science by Jeffrey Stanton.If applicant are brand new to data science, applicant will probably want to start with the basics.
Resume, Cover Letter, and Interview PreparationThe following application checklist is for those applying to the on-campusM.S. in Applied Data Science.All application materials are required unless otherwise notedTOEFL or IELTSApplicant can apply to the on-campus program using the Graduate Program Application.The non-refundable application fee is $75.If applicant wish to apply to more than one Syracuse University program, applicant must file a separate application and application fee for each program.The university can consider their application with unofficial transcripts, but the university recommend that applicant send official transcripts. If applicant choose to submit an unofficial transcript, all offers of admission from Syracuse University are conditional pending receipt of official academic credentials showing that a the students.S. bachelor’s degree has been conferred upon applicant.Failure to submit official degree-bearing credentials may result in revocation of an offer of admission, or dismissal from the graduate program if admission has already been granted.The personal statement is a statement of their general academic plans, personally written by applicant, the applicant.Submit as an uploaded word-processing document through the Embark application.Why applicant wish to study for the degree applicant’ve chosenTheir plans for the future after applicant receive their degreeApplicant can request letters of recommendation, and their recommenders can submit their recommendations, through the OnBase online application system.GRE General Exam scores are required for all applicants.Applicants to a Fast Track Accelerated Degree programBridget will confirm that applicant do not need to submit GRE scores.The university can accept GMAT or LSAT scores in lieu of GRE scores, although GRE General Exam scores are preferred.Applicants seeking scholarships and awards are recommended to submit GRE scores.TOEFL or IELTS scoreAll international applications are required to submit either a TOEFL or IELTS score.It is not necessary to request that scores be sent to more than one department.If applicant have completed an advanced degree taught at an accredited the students.S. educational institution, it is possible to waive the TOEFL/IELTS score requirement.International applicants whose native language is English, or, who are citizens of English-speaking countries are not required to submit TOEFL or IELTS scores.A copy of their up-to-date resume or curriculum vitae is required.The video submission is an optional component of the university application and is not required, but it helps the admissions committee get to know applicant personally.Program application reviewers do not have access to view their financial documents.If applicant are a government-sponsored applicant: the students will need to submit an original award letter or a certified copy of an award letter. The letter must state the annual amount of the award in the students.S. dollars.Electronically using the Graduate Program ApplicationThe university strongly encourage that all application materials and credentials be submitted electronically using the Graduate Program Application listed in step 1.Any letters of recommendation that applicant are unable to submit electronically must be submitted in sealed envelopes, on which the recommender has signed across the seal.IST 678: Communication for Information Professionals is a three credit hour course that will not apply to the required credits for their academic program, but will apply to their grade point average
