MS in Data Analytics

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Introduction

Data Analytics is an exciting area that has gained a lot of attention. The U.S. Department of Labor's Bureau of Labor Statistics (BLS) reports that jobs in data analytics are one of the fastest growing in the United States. According to a report by the McKinsey Global Institute, by 2018 the US is expected to have a shortfall of 140,000-190,000 people with data analysis skills. Our new M.S. program is developed to meet the need in NJ and the tri-state area. The Master of Science in Data Analytics Program at CSE will prepare graduates with the knowledge and skill set necessary to become analytics and data science professionals. The program will explore the intricacies of data analytics and expose students to various topics related to data collection, manipulation, processing, analysis, and visualization. Along with probability theory and statistical analysis methods and computing tools, students will learn how to solve crucial data-driven problems and assist with analytics-driven decision making that are needed in the workforce as the progression of big data jobs continues to grow. Our program emphasizes not only on data analytics theories but also data analytics skills and techniques with both a mathematics and computer science focus. All courses are offered in the evening to accommodate working adults' busy schedules. Admission Requirements Acceptance is based on the strength and quality of the student's undergraduate program, relevant certificates, transcript, grade point average, letters of recommendations and projected ability to complete the degree program. An essay explaining the applicant's motivations will be required. Extracurricular activities involving voluntary service and advocacy, as well related experiences are also considered. The following documents must be submitted: Completed application, Personal statement, Resume, Two letters of recommendation, Official transcripts from all undergraduate and graduate (if applicable) colleges/universities attended, An undergraduate GPA of not less than 3.0 on a 4.0 scale. Students who have background and potential for success but whose GPA is less than 3.0 may be admitted on a provisional basis. For International Students: Official transcripts from all post-secondary institutions. International transcripts must be evaluated by NACES (i.e. WES) on a course by course basis. TOEFL/IELTS (if necessary).

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MS in Data Analytics

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General Information

Program Dates

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Study Place

Funding

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