Online Masters in Data Science No GRE - Updated 2020
UVA School of Data Science
College description: Students will move through a varied curriculum drawing from different disciplines, all with the unifying goal of becoming leaders in data science and analysis. Coursework includes quantitative methodology as well as a humanist component and plenty of collaboration to ensure that the university students approach data science holistically, as part of a team, and with the utmost integrity.CS 5010: Programming and Systems for Data ScienceFor the purpose of facilitating data manipulation and analysis, students will be introduced to essential programming techniques in Python, an increasingly prominent language for data science and big data manipulation.STAT 6021: Linear Models for Data ScienceAn introduction to linear statistical models in the context of data science.Provide a foundation in discrete mathematics, data structures, algorithmic design and implementation, computational complexity, parallel computing, and data integrity and consistency for non-CS, non-CpE students.In the third term, students take 2 data science special topics courses which align with what the university industry partners suggest are critical for success.This motivates the need for a different paradigm of computing, and a different toolset. The focus of the course is learning Spark, an open-source, general-purpose computing framework that is scalable and blazingly fast.This course covers the practice of data science practice, including communication, exploratory data analysis, and visualization.
The university look forward to learning more about applicant as applicant move through the application process.The application form must be completed online.This should explain how the online MSDS program fits into their short- and long-term educational and career goals.Applicants must report either GRE or GMAT or MCAT scores in the application system , unless they qualify for an exemption.An additional statement summarizing the applicant’s relevant quantitative/technical work experience will be required through the online application.International applicants must self-report TOEFL or IELTS scores in the application system. The minimum internet-based TOEFL score requirement is 90The TOEFL/IELTS requirement will automatically be waived for an applicant who submits evidence of these circumstances.Two letters of recommendation should be submitted electronically through the online system. It is preferable for at least one letter to be from an individual with substantial knowledge of their academic accomplishments.Each year, the university expect to have students who have just finished their degrees as well as students who are working professionals.A non-refundable application fee of $85.00 is required prior to submission of the application. Applicants who believe they may qualify for an application fee waiver should first review the Application Fee Waiver Information and then submit an Application Fee Waiver Request Form. Applicant cannot be granted a fee waiver after payment of the application fee. An application will not be considered submitted until the fee is paid.Register Here for the UVA MSDS Application Overview Webinar on October 20Request more information about the online MSDS
Online Master of Computer Science in Data Science
College description: Illinois Computer Science offers a specialized track of courses that satisfy the MCS degree requirements, but with coursework that focuses on data science — the art of extracting new knowledge and finding meaningful information in a massive sea of data.The Master of Computer Science in Data Science track is a non-thesis program of study that leads to the MCS degree using courses that focus on data science. The MCS-DS track requires 32 credit hours of graduate coursework, completed through eight graduate-level courses each at the four credit hour level. The MCS-DS includes required coursework in machine learning, data mining, data visualization and cloud computing.
Information about the Online MCS in Data ScienceComplete a Master’s degree online in the hottest area of the new millennium! Illinois Computer Science offers a specialized track of courses that satisfy the MCS degree requirements, but with coursework that focuses on data science — the art of extracting new knowledge and finding meaningful information in a massive sea of data.The Master of Computer Science in Data Science track is a non-thesis program of study that leads to the MCS degree using courses that focus on data science. The MCS-DS includes required coursework in machine learning, data mining, data visualization and cloud computing.Students who would like to take a more general set of courses should consider the University of Illinois Online MCS.Applicants should hold a 4-year bachelor's degree Students with a bachelor’s degree in a field other than CS are encouraged to apply, but to succeed in graduate-level CS courses, they must have prerequisite coursework or commensurate experience in object-oriented programming, data structures, algorithms, linear algebra, and statistics/probability. Applicants without this can strengthen their application for admission by passing the optional Data Structures Proficiency Exam. The Department of Computer Science does not require GRE scores for any of its graduate programs. Applications for the MCS do not require letters of recommendation, but will be considered if included, especially if used to justify experience in lieu of required coursework, or other irregularities.Must complete one course each from the four different areas of machine learning, data mining, data visualization and cloud computing.Not required, but available to use toward the eight courses required for the degree.Breadth coursework must have a letter grade of B- or higher. Any other course taken for letter grade must have a grade of C or higher.Up to 12 credit hours of previous graduate coursework that is approved by the Department of Computer Science may be transferred and applied to the Professional MCS degree requirements.Spring Semester:CS 411 Database SystemsCS 412 Intro to Data MiningCS 418 Interactive Computer Graphics CS 445 Computational Photography CS 498 Cloud Computing ApplicationsCS 498 Applied Machine LearningCS 498 Internet of Things CS 598 Advanced Bayesian ModellingTuition: $670 per credit hour, for a total of $21,440 for the complete 32 credit hour degree.ProctorU fees: Most Online MCS courses require one or more exams. Exams are proctored online through the ProctorU service, which will be billed directly to the student when an exam is scheduled, at $8.75 (30-min.The Department of Computer Science does not offer research or teaching assistantships to students enrolled in the university online programs, including the Online MCS. The Online MCS program is accredited by the Higher Learning Commission and enrolled students are eligible for financial assistance.If applicant are interested in receiving updates about the Online MCS, please complete Coursera's Interest Form.University of Illinois Launches Specialization to Broaden Access to a Leading Online Master of Computer Science DegreeC3.ai Provides Employees Access to a University of Illinois Master of Computer Science Degree in Data Science
Online Masters in Data Science Degree
College description: Data Science at SMU is an online Master of Science in Data Science program designed for current and aspiring data science professionals looking to gain the advanced skills needed to manage, analyze, mine and understand complex data to make strategic decisions in a variety of industries.Data Science at SMU's classes and coursework focus on statistics while building and expanding upon computer science and data visualization skills. As students progress in the program, they master more advanced concepts and have the opportunity to choose a specialization with a customized curriculum that closely aligns with their goals.
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;Applicant 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.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.The evaluation must then be included with official transcripts to be considered for the Master of Science in Data Science program.
Graduate Certificate in Data Science — Online Learning
College description: The online graduate certificate in Data Science is designed for professionals with a background in computer science, who want to enrich their expertise in this important field.Complete this certificate on their own time through fully online classes.Expand their Data Science expertise in only 6 courses.Online learning video Online Data Science Certificate.Expand their knowledge in important data science areas like data mining, artificial intelligence, big data and .Skip the GRE not required for admission into the certificate program.Roll their certificate credits into UofL’s online Master of Science in Computer ScienceIn today economy, organizations across all industries, can reap the enormous payoffs of data science.Experience and knowledge in computing, database and statistical software such as MatLab, SQL or other advanced packages.Send all materials to: Graduate Admissions University of Louisville 2211 S.Bachelor degrees earned internationally must be assessed to ensure that entrance requirements are met.International students will not be issued a the students.S. visa if admitted to the online structural transportation certificate program, since there are no campus attendance requirements.The online graduate Data Science Certificate is an 18 credit hour program that requires 9 credit hours in core courses and 9 credit hours in electives.CECS 619 Design and Analysis of Computer Algorithms.CECS 522 Performance Evaluation of Computer Systems A study of approaches to the evaluation of computer systems.The emphasis will be placed on Engineering design and implementation of relational systems.CECS 536 Data Management and Analysis The goal of the course is to teach, to the students who are not Computer Science majors, the basic skills needed to organize, assess and analyze data sets.CECS 545 Artificial Intelligence This course introduces the use of predicate calculus logic, heuristic search, and knowledge representations for solving engineering and computer science problems.CECS 619 Design and Analysis of Computer Algorithms This course covers the interrelationship between algorithmic statements, data structures, and computational complexity of computer programs.
The online graduate certificate in Data Science is designed for professionals with a background in computer science, who want to enrich their expertise in this important field.Complete this certificate on their own time through fully online classes.Online learning video - Online Data Science CertificateTake advantage of the flexibility and convenience of 100% online classes.Skip the GRE – not required for admission into the certificate program.Roll their certificate credits into UofL’s online Master of Science in Computer ScienceBachelor’s degree in a technically related fieldBachelor's degrees earned internationally must be assessed to ensure that entrance requirements are met.A total TOEFL score of 80 or higher or an overall IELTS score of 6.5 or higher for all foreign students from counties in which English is not the native language.International students will not be issued a the students.S. visa if admitted to the online structural transportation certificate program, since there are no campus attendance requirements.The online graduate Data Science Certificate is an 18 credit hour program that requires 9 credit hours in core courses and 9 credit hours in electives.The course includes coverage of rule-based expert systems, intelligent agents, and machine learning.CECS 619 Design and Analysis of Computer Algorithms This course covers the interrelationship between algorithmic statements, data structures, and computational complexity of computer programs. Algorithms are presented for a number of computer science and engineering applications including graph problems, string matching, dynamic programming, transitive closure, and convolution.CECS 621 Web Mining for E-Commerce and Information Retrieval Fundamentals of knowledge discovery in semi-structured/unstructured data with emphasis on the World Wide Web: Web usage, content, and structure mining, applications to personalization, e-commerce, information retrieval, text mining.MATH 560 Statistical Data Analysis Descriptive techniques, inferential techniques, simple and multiple linear regression.MATH 561 Probability Probability spaces, probability distributions, moments, moment-generating functions, independence, transformation of variables, sampling distributions, laws of large numbers, central limit theorem, applications.MATH 562 Mathematical Statistics Random samples and statistics, point estimation, sufficiency and completeness, confidence regions, classical theory of hypothesis testing, linear regression, non-classical procedures.They have worked in application areas such as medical, e-commerce, security, military, institutional, and financial research.
No GRE Required and Online
College description: Grow their skill set and advance their career with a Master of Science in Data Science degree in as few as.18 months.1 the university fully-online program was developed in partnership with industry leaders from the technology and business fields.The Master of Science in Data Science is a Flex Choice® competency-based education program.With this degree, the students will be confident in their skills to pursue a career as a data scientist, data engineer, data architect, data analyst, data developer or business analyst.Create descriptive, predictive and prescriptive analytical models and processes for use in validating and interpreting data.Official transcript documenting conferral of a Bachelor degree with a cumulative GPA of 3.0 or higher from a regionally or nationally accredited institution of higher learning as recognized by the Education and the Council on Higher Education AccreditationBachelor degree in Data Analytics or Data Science.Bachelor degree in an unrelated field and a resume showing at least two years of demonstrated significant and recent experience in data analytics data science, and either an Oracle BI or SAS certification earned in the past three years4.Bachelor degree in an unrelated field and a resume showing at least three years of demonstrated significant and recent experience in data analysis data science.The university tuition estimating tool can help applicant visualize the cost of their degree and see what savings opportunities are available to help applicant achieve it.When demonstrated significant and recent experience in data analytics data science is required, the Department Chair will review the applicant’s resume to determine whether the entrance requirement has been met.
Master of Science in Data ScienceThe Rasmussen College Master of Science in Data Science degree program relies on authentic assessments that encompass real-world scenarios, case studies that give insight into various industries and exploration of emerging analytical technologies. With no GRE requirement and four start dates per year applicant can balance work, life and their education with a flexible, affordable, fully online, competency-based education program that can be completed in as few as 18 months for as low as $20,000.1The online Master of Science in Data Science degree program was designed for working professionals looking to grow their skill set and advance their career.This Master’s degree is a Flex Choice® competency-based education programRasmussen College is accredited by the Higher Learning Commission , a regional accreditation agency recognized by the the students.S. Department of Education.Students interested in advancing their professional skills in analytics, leadership, strategy and management online in order to advance their career and become a strategic leader in their organization.6 Data Science Careers applicant Could Launch with a Master’s DegreeAccording to the Bureau of Labor Statistics , earning a degree, regardless of the field of study, can improve income potential.3 Here's an example of where a Data Science Master’s degree can take applicant.A Master's degree in Data Science offers in-depth knowledge of industry-specific skills.
Master of Science in Spatial Data Science
Their degree application, including receipt of all materials, must be received by the following deadlines to be considered complete.The Admissions Committee reviews applications during the months of February, June, and October.This degree must be from an officially recognized degree-granting institution in the country in which it operates.After completing their third certificate course, applicant must submit their resume and a professional statement of purpose explaining their goals for obtaining the spatial data science degree to the admissions chairperson. The admissions chairperson will review their personal statement, verify applicant have met the GPA threshold, and then make a decision regarding their admission to the master's program. Admissions decisions will be made in this manner on a rolling basis year-round, but applicant must have their application complete and submitted for consideration at least 4 weeks before the term in which applicant intend to start the degree program.Applications are submitted electronically and include a nonrefundable application fee.With some exceptions, international applicants must take and submit scores for the Test of English as a Foreign Language or International English Language Testing SystemPersonal Statement — Write a statement that describes how their experience and goals align with the objectives of the M.S. in Spatial Data Science program.Applicant can begin their online application at any time.Choose "Spatial Data Science" as the degreeApplicant can check the status of their application by using the same login information established for the online application form.
MS Systems Technology
Master of Science in Computer ScienceMaster of Science in Systems TechnologyProspective students must have a degree from an accredited institution in technology, engineering technology, engineering, or a closely aligned program.An overall cumulative GPA of 2.75 or higherA maximum of nine semester hours of transfer graduate credit may be applied toward fulfillment of the requirements for the master’s degree.Because courses in this program will only be available online, the program may not be available to all applicants. The University of Louisiana at Lafayette and its online programs must be in compliance in every state where a student is located.