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 one of the finest universities in USA. Kennesaw State University provides Master of Science in Data Science and Analytics at PG level. The duration of this course is 2 years. This course attracts students from all over the world. To enrol in this course, international students must fulfil all the admission requirements. The admission requirement at the Kennesaw State University include standardized tests like IELTS and TOEFL. The first year tuition fees Kennesaw State University for Master of Science in Data Science and Analytics is USD 21,786. Moreover, the students must be ready for other expenses such as rent, hostel fees, food, books, supplies, utilities, etc.
Duration | 2 years |
Tuition & Fees | ₹20.28 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 first-year tuition fee for the Master of Science in Data Science and Analytics at the Kennesaw State University is USD 21,786. Moreover, the fee structure for the Master of Science in Data Science and Analytics comprises the first-year tuition fees, supplement charges, facility requirements, and other additional charges offered by the Kennesaw State University.
Apart from the tuition cost and university charges, students should also keep in mind the extra expenses to stay at the university or any nearby accommodation. They are required to manage the finances for various factors like rent, food, transportation, utility, and other personal expenses, which can vary as per the individual.
Check the detailed information on the Kennesaw State University Master of Science in Data Science and Analytics on the fee breakup, from the table below.
1st year tuition fees | Fees components | Amount (for 1 year) |
|---|---|
| Tuition & fees | INR 20,28,391 |
Other expenses in 1st Year | Fees components | Amount (for 1 year) |
|---|---|
| Insurance | INR 2,73,357 |
| Transportation | INR 2,62,650 |
Calculated at the exchange rate of 1 USD = INR 93.10525 | Tuition & expenses were last updated on 27ᵗʰ February 2026Download exam sample paper
MS 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
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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
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