Data Analytics

    Data Analytics

    Duration2 year(s)
    Tuition Fee
    USD 25,570 / Year
    Next IntakeAugust 22, 223
    Data Analytics

    About

    Binghamton University's Master of Science in Data Analytics degree program prepares students from diverse backgrounds with the analytical, quantitative, technical and leadership skills needed for successful careers in data analysis across all sectors of the economy.

    Through an innovative collaboration between the Harpur College of Arts and Sciences, the School of Management and the Thomas J. Watson College of Engineering and Applied Science, this unique program gives students a cross-disciplinary, hands-on education that incorporates real-world projects and applications. The highly quantitative nature of the curriculum qualifies the program as a STEM degree.

    The 30-credit MS Data Analytics program provides a robust exploration of the core fundamentals of analytics, while also allowing for the flexibility to explore applicable areas of interest and emphasizes real-world applications.

    The program takes about 10 months to complete, and starts in the fall semester.

    Applicants with prior STEM degrees and work experience are preferred.

    Requirements

    Entry Requirements

    • Provide a complete set of your undergraduate (and, if applicable, graduate) transcripts showing one of the following:
      • You have earned a bachelor's degree (or its equivalent) from a nationally or regionally accredited college or university
      • You are within one academic year of earning a bachelor’s degree (or its equivalent) from a nationally or regionally accredited college or university
      • You are eligible to apply as part of a memorandum of understanding between your current institution and Binghamton University 
    • Have earned, at minimum, one of the following:
      • A 3.0 GPA over your entire undergraduate career
      • A 3.0 GPA during the last 60 semester credits or 90 quarter credits of your undergraduate degree, with most courses graded regularly (not as "pass/fail")
      • A 3.0 GPA in a graduate degree, with most courses graded regularly (not as "pass/fail")
      • In consideration of the different grading scales used around the world, each academic department evaluates international transcripts to determine on a case-by-case basis whether they demonstrate one of the above requirements. 

    English Requirements

    • PTEMin 53
    • IELTSMin 6.5
    • TOEFLMin 80

    Career

    Data is increasingly shaping the modern world, and there is a growing demand for people who can make sense of it. From Wall Street to manufacturing to healthcare to education, every industry has a need for individuals who not only have the technical skills, but the teamwork and communication skills necessary for successful analysis and decision making.

    Students will be prepared for the growing need of analytics and intelligence in all sectors of the economy, and will be able to:

    • Demonstrate knowledge of appropriate analytics techniques, tools and software, including those in the big data regime and data visualization tools to communicate results of data analysis
    • Recognize the data structures, storage, retrieval and other technical needs in order to implement analytical solutions and make the results available throughout organizations
    • Develop and apply predictive models using statistical, data mining and machine learning techniques to solve real world business and decision problems
    • Work in teams with students of diverse backgrounds, present and communicate findings to leaders of project clients

    Fee Information

    Application Fee 70

    How to Apply

    • Submit the online application and all required application materials.

      • You will need a valid email address to create an online application.
        • For best performance, we recommend using Google Chrome to apply.
      • Upload all required application materials for your program to the online application. 
        • Scan and upload the files with care, making sure they are clear, legible and complete. The graduate admissions committee will receive the files you scan and upload.
        • Preferred file format is PDF. Other accepted file formats include .doc, .docx, .rtf, .jpg and .tif.
        • Do not mail hard (paper) copies of any application materials unless specifically requested by the Office of Graduate Admissions.
      • Pay the $75 (USD) non-refundable graduate degree program application fee.
        • You can use a Visa, MasterCard, Discover or American Express credit card. Your credit card bill serves as your receipt.
        • We are happy to be able to grant application fee waivers to CSTEP, EOP, HEOP, LSAMP Program, Project 1000, SEEK Program or TRIO Program (McNair Scholars Program, Student Support Services, Upward Bound, etc.) students. Please provide a certified letter from your program official attesting to your participation. Documents can be uploaded directly on the application or by emailing [email protected]
        • We are happy to be able to grant application fee waivers to GEM Fellowship applicants. Please submit a copy of your GEM interface homepage indicating that your overall application status is complete. Documents can be uploaded directly on the application or by emailing [email protected].
        • United States Armed Forces veterans and active duty service members are also eligible for an application fee waiver. Please submit a copy of your Certificate of Release or Discharge from Active Duty (DD Form 214) or your Status Report Pursuant to Servicemembers Civil Relief Act (as downloaded from https://scra.dmdc.osd.mil). Documents can be uploaded directly on the application or by emailing them to [email protected].
        • Please note that a request for an application fee waiver may take 2 to 3 business days to process. Please wait for an email stating that your request has been approved before submitting your application. If you have any questions about this process, please contact us at [email protected].
      • Submit the online application and all required application materials by your program's application deadline.

      Review these reminders before you apply:

      • We recommend you begin the application process at least one month before your program's application deadline.
      • You may apply to more than one program at a time. If you receive an admission decision for more than one program, you can only confirm your intent to enroll for one program at a time. Any remaining applications will be automatically withdrawn once you have confirmed your intent to enroll by paying your admission deposit. Exceptions will be made for individuals applying to approved dual- and double-degree programs.
      • Take care when selecting your program. The Office of Graduate Admissions cannot make any changes to your program once we receive and begin review of your application.
      • If you are a former Binghamton University student (undergraduate, graduate or non-degree/non-matriculated) and have changed your name, file an official name change form with the Office of Financial Aid and Student Records before submitting an application.
      • If you are an international student, review the additional admission requirements for international students before submitting an application.
      • If you are interested in transferring graduate credits from another institution to Binghamton University, review the policies regarding the transfer of graduate credits before submitting an application. The application process is the same for students who are planning to transfer graduate credits as it is for those who are not.
    Data Analytics
    Binghamton University
    Binghamton University
    United States of America

    United States of America, Binghamton

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