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Kent State University Courses & Fees

kent, USA

Kent State University
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2 Popular Courses in Kent State University

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BUSINESS ANALYTICS - M.S.

MS in Business Analytics at Kent State University program equips students with a well-rounded understanding of analytics, combining technology, analytical skills, and busness expertise. It develops technical, communication, decision-making, and leadership skills necessary for success. In today's data-driven business landscape, the program prepares students to harness the power of data for strategic decision-making.Course CurriculumMS in Business Analytics at Kent State University includes a comprehensive set of courses designed to provide students with the necessary knowledge and skills in analytics. The fundamental courses usually encompass subjects like:Data Mining/Machine LearningProgramming & Software ToolsApplied Probability & StatisticsDatabases & Data ProcessingQuantitative AlgorithmsBusiness AcumenThe curriculum is designed to provide a balanced blend of technical expertise and business acumen.Course HighlightsCourse Full FormMasters in Science in Business AnalyticsType of UniversityPublic UniversityDegree LevelPost-GraduateCourse Duration12 MonthsAverage Tuition FeesUSD 1,024.90 per credit hourTotal Credits30 CreditsDegree Type (Stream)EngineeringAdmission RequirementsExamsInternational applicants must provide a valid score in one of the followingTOEFL iBT79IELTS6.5Duolingo110PTE582. Documents/PrerequisiteOfficial transcriptsResumeLetter of RecommendationsApplication feePersonal StatementEnglish Proficiency ScoresBachelor’s Degree with a minimum GPA of 3.0 on a scale of 4. ...Read more
  • DURATION
    1 year
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DATA SCIENCE - M.S.

The Master of Science degree in Data Science provides a focus on developing scientists who will understand the theories, methods and tools of data science and apply data cience to solving research and workplace questions in the natural, health and social sciences for businesses and industries.Data science is an emerging STEM discipline founded on the principles of mathematics and the sciences and developed through a synthesis of mathematics and computer science. One may think of data science as a blending together of methods and ideas from analysis, statistics, databases, big data, artificial intelligence, numerical analysis, graph theory and visualization for the purposes of finding information in data and applying that information to solving real-world problems. ...Read more
  • DURATION
    1 year
  • FEES
    -
  • EXAMS
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  • INTAKE SESSION
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