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.
About MSDSA Program
The MSDSA program is a 36 semester-hour graduate program designed to help students gain the skills, knowledge, and experiences they need to be practicing data scientists and analytics professionals. Our students come from wide variety of academic and professional backgrounds, but by the time they graduate all are prepared for a career in data science and analytics. Highlights of the program include:
Program Format: Face-to-Face, Online or Hybrid
Number of Credit Hours: 36 Total Hours
Entry Terms: Fall, Spring
Time to Complete: Two-year Program
Application Deadlines:
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Additional Program Requirements:
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KSU’s Data Science and Analytics degree program offers many unique training exercises not found in other statistics graduate programs, including:
Statistical Computing – Starting in your first semester, you will learn analytical programming languages such as SAS, R, and Python.
Applications Project – You will complete an applied research project based on data from your place of employment, an internship or co-op, or from work done with a faculty member. As part of the project, you will turn in a written report demonstrating the analytical skill sets that you have mastered.
Emphasis on Communication of Results – Communicating your methods and results is vital when using statistics to convert data into actionable information. The MS in Data Science and Analytics will teach you how to write clear, concise reports and make professional-quality presentations that communicate your research so it is easily understood.
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