MS in Data Science and Analytics
- Public University
College of Computing and Software Engineering
Talk to ExpertMS in Data Science and Analytics at KSU Overview
Kennesaw State University is among the popular universities to study MS in Data Science and Analytics from abroad. The duration of MS in Data Science and Analytics program is 2 years. The first-year Kennesaw State University tuition fee for MS in Data Science and Analytics is around USD 21,786 (INR 2,091,238). Indian students are required to plan their cost of living (accommodation, groceries, insurance, utilities, etc.) apart from tuition fees to study at the university. Indian students must meet the Kennesaw State University admission requirements to study the course. Indian students must submit an online application by the course deadline to get into the university.
Duration | 2 years |
Tuition & Fees | ₹21.10 Lakh Get Fees details |
International Students Admission Website | Go to Website  |
Official Career Service Website | Go to Website |
Course Level | PG Degree |
MS in Data Science and Analytics at KSU Fees
The fee structure for the MS in Data Science and Analytics at the Kennesaw State University covers the first-year tuition fees along with other additional charges, including the Books and supplies charges, facilities cost and many more offered by the Kennesaw State University. Other than tuition costs, students need to pay living expenses that cover various factors like rent, food, transportation, utility, and other personal expenses. The total tuition fees for the first year of MS in Data Science and Analytics is USD 21,786 (INR 2,091,238).
Find more details about Kennesaw State University MS in Data Science and Analytics on the fee breakup, from the table mentioned below.
1st year tuition fees | Fees components | Amount (for 1 year) |
|---|---|
| Tuition & fees | INR 21,09,827 |
| Application Fee | INR 5,811 |
Other expenses in 1st Year | Fees components | Amount (for 1 year) |
|---|---|
| Insurance | INR 2,84,332 |
| Transportation | INR 2,73,195 |
Calculated at the exchange rate of 1 USD = INR 96.84325 | Tuition & expenses were last updated on 27ᵗʰ July 2026Download exam sample paper
MS in Data Science and Analytics at KSU Entry Requirements
- No specific cutoff mentioned
- CGPA - 2.75/5
- 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.
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Out of 10
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Out of 10
- Marks - 80/120
NA
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- No specific cutoff mentioned
- Marks - 6.5/9
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MS in Data Science and Analytics at KSU Rankings
| Rank | Rank Publisher |
|---|---|
| #373 |
MS in Data Science and Analytics at KSU Placements
| Particulars | Statistics (2025) |
|---|---|
| Internship Available | Yes, Internship is part of the curriculum |
MS 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
MS in Data Science and Analytics at KSU Important Dates
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