M.S. Data Analytics

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M.S. Data Analytics

  • Szczegółowe informacje
    M.S. Data Analytics.

    Course Type: Postgraduate.

    Career Path: IT.

    Course Category: MS.

    Information:

    Data Analytics is  the science of interpreting vast amounts of complex data to make sound decisions. The MS in Data Analytics, focuses on developing and applying data analytics skills to fulfill significant  needs in the business commmunity. Student will integrate business concepts as well as key methods and tools for large-size data modeling, analysis and solving challenging problems involving "Big Data". The program provides a strong  foundation in data analytics by bringing together salient techinques from statistics, mathematics, computer science, business, accounting, finance and management in a realistic business contect.

    Course Requirements:

    • Signed Application Form 
    • Proof of English Proficiency: 
      • TOEFL: PBT 550 | iBT 80 
      • IELTS: 6.5 
      • Pearson: 53 
    • Undergraduate Transcripts 
    • Essay: 300-500 word essay on a topic of your choice OR Curriculum Vitae (CV) 
    • One Letter of Recommendation  
    • Copy of Passport ID Page 
    • Official University/College Transcripts (for Transfer Students) 
    • Some programs have additional entry requirements. Please contact your advisor for more information. 
    Course Duration: 18 months - 2 years (33 Credit Hours)

    Online: No

    Campus Based: Yes

    About Webster University :

    Distinctive Learning.
    - Global feature in academic programs. Globalized curriculum is our distinctive hallmark
    - Academic programs engage your mind and stimulate your understanding beyond your home country and culture
    - Every student experiences a global learning component
    - Every student is exposed to a worldwide network of fellow students who live, work and study around the U.S., Europe, Africa and Asia
    - Learn in class today and apply it in real life tomorrow
    - Five schools and colleges: Arts & Sciences; Business & Technology; Communications; Education; and Fine Arts.

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