Master of Science in Data Science and Analytics
- Public University
College of Computing and Software Engineering
Talk to ExpertMaster of Science in Data Science and Analytics at KSU Overview
The Kennesaw State University Master of Science in Data Science and Analytics program at PG level as 2 years course. It is among the top-ranked courses offered by the university.
International students are required to submit scores of IELTS and TOEFL to be eligible to get selected into the university. Additionally, they must provide all the necessary documents as part of the admission process.
The Kennesaw State University Tuition fees for Master of Science in Data Science and Analytics is USD 21,786 for 1st year.
Duration | 2 years |
Tuition & Fees | ₹19.33 Lakh Get Fees details |
International Students Admission Website | Go to Website  |
Official Career Service Website | Go to Website |
Course Level | PG Degree |
- Overview
- Fees
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Master of Science in Data Science and Analytics at KSU Fees
Kennesaw State University Master of Science in Data Science and Analytics fee structure includes first-year tuition fee that all the students have to pay. The total expense may vary, depending on the additional charges provided by the Kennesaw State University. The total first-year tuition fees of Master of Science in Data Science and Analytics is USD 21,786.
To know more about Kennesaw State University Master of Science in Data Science and Analytics fee breakup, check out the table below:
1st year tuition fees | Fees components | Amount (for 1 year) |
|---|---|
| Tuition & fees | INR 19,33,072 |
Other expenses in 1st Year | Fees components | Amount (for 1 year) |
|---|---|
| Insurance | INR 2,60,511 |
| Transportation | INR 2,50,307 |
Calculated at the exchange rate of 1 USD = INR 88.73 | Tuition & expenses were last updated on 18ᵗʰ December 2024Download exam sample paper
Master of Science in Data Science and Analytics at KSU Entry Requirements
- No specific cutoff mentioned
- CGPA - 2.75/4
- Read less
- Baccalaureate degree from an institution accredited in a manner accepted by Kennesaw State University.
- Applicants should have mathematics coursework that includes at least Calculus I and Calculus II (Optional)
- Minimum cumulative undergraduate adjusted grade-point average of 2.75 on a 4.0 scale
- Other criteria will be considered by the MS Admissions Committee for applicants, including
- coursework
- professional certifications
- relevant work experience
- professional activities
- Baccalaureate degree from an institution accredited in a manner accepted by Kennesaw State University.
Calculate your score and check your eligibility at over 2000+ universities.
Out of 10
- Marks - 80/120
NA
-
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-
Calculate your score and check your eligibility at over 2000+ universities.
Out of 10
- No specific cutoff mentioned
- Marks - 6.5/9
- Get a Full FREE IELTS Prep Course with Shiksha Study Abroad – Limited Seats for Weekend & Weekday Batches! Register now for IELTS
- Yes
- Students who plan to enroll at KSU in an undergraduate academic program after completing the IEP may apply for Conditional Admission while enrolled in the IEP
Master of Science in Data Science and Analytics at KSU Rankings
| Rank | Rank Publisher |
|---|---|
| #373 |
Master of Science in Data Science and Analytics at KSU Placements
| Particulars | Statistics (2025) |
|---|---|
| Internship Available | Yes, Internship is part of the curriculum |
Master of Science in Data Science and Analytics at KSU Highlights
- The Master of Science in Data Science and Analytics (MSDSA) program at Kennesaw State University (KSU) is a professional degree program which prepares a diverse student body to utilize cutting edge data science and analytics techniques for careers in business, industry, government, and health care
- Students graduate with the essential knowledge, techniques, and tools gained from working with faculty who integrate real-world data into their courses and multiple opportunities to work directly with corporate partners
- The MSDSA program focuses on the following areas:
- Practical, hands-on experience with programming languages and big data tools, through coursework and applied research experiences.
- Application of data science and analytical methods and techniques to mine and visualize data for patterns and relationships.
- Identifying, building, and evaluating appropriate models for a variety of data science tasks.
- Obtaining, cleaning, processing, and transforming data for analysis and modeling
Master of Science in Data Science and Analytics at KSU Important Dates
Master of Science in Data Science and Analytics at KSU Scholarships
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