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    Webster University Georgia

    Master in Data Analytics

    Georgia4 yearsTaught in EnglishOpen to international students

    Why students choose this program

    • Taught in English
    • Applications currently open

    About Master in Data Analytics

    Tuition fees are 9,600 USD per year, while applications for the Jan 2027 intake are open until Oct 15, 2026.

    The Master in Data Analytics at Webster University Georgia is a one-year Master's degree for students who want to learn how to work with data. It's taught in English and available to students with a Bachelor's degree.

    This program will help you learn about data analysis, statistics, and data visualization. You'll develop skills in programming languages like Python and R, and get hands-on experience working with datasets and data tools.

    After graduating, you can work as a Data Analyst, Business Intelligence Developer, Data Scientist, or Operations Research Analyst. You can find jobs in industries like finance, healthcare, or technology, and work for companies like banks, hospitals, or consulting firms.

    About Webster University Georgia

    Webster University Georgia, part of the Webster global network, delivers American-style higher education in Tbilisi with an international focus. Founded as a campus of Webster University, it offers undergraduate and graduate programs in business, international relations, media and computer science, among other fields. The campus prioritizes small class sizes, personalized instruction and a multicultural student body to create a supportive learning atmosphere for students from around the world.

    Academically, Webster Georgia emphasizes practical skills, global perspectives and cross-cultural engagement through elective mobility across Webster campuses worldwide. Students can expect interactive classrooms, experienced faculty and opportunities for internships and industry collaboration in Georgia's capital. The campus provides academic advising and student support services designed to help international students adapt to local life and progress toward career goals.

    For international applicants seeking an American curriculum abroad, Webster Georgia offers a compact, student-centered option with access to the university’s global alumni network. Prospective students should review program specifics, credit transfer policies and available scholarships to plan their studies. Graduates leave prepared for careers in business, media and international affairs or for transfer to other Webster campuses to broaden their academic experience.

    Planning the visa? Georgia student visa: cost, requirements and processing time (from $158 all-in)

    English Test Requirement

    This program asks forIELTS 4.0-5.0. Here's what that's worth on the other tests universities accept, based on the official concordance tables:

    Duolingo

    English Test · fastest & cheapest

    55–65

    Take the Duolingo TestWe earn a referral credit
    TOEFL iBT
    0–31
    PTE Academic
    0–29
    CEFR level
    A2
    Convert your own score

    Equivalences are approximate — confirm the exact test and score the program accepts.

    Master in Data Analytics: Frequently Asked Questions

    What are the fees for Master in Data Analytics?
    Tuition: USD 9,600 per year. Application fee: USD 175. Service fee: USD 100.
    What are the entry requirements for Master in Data Analytics?
    Entry requirements include: Education: Bachelor's Degree; Academic performance: Grade B-A (60-70%, GPA 2.5-3); English: IELTS 4.0-5.0; Minimum age: 18.
    How long is the Master in Data Analytics program?
    The program duration is 4 year.
    What is the application deadline?
    The application deadline is 2026-10-15.
    Is Master in Data Analytics available online?
    This is an on-campus program at Webster University Georgia.

    Related Programs You Can Apply To

    Direct application via Global Admissions is not available for this program. Browse similar partner programs below or visit the university's site to apply directly.

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