Master of Science in Data Science and Analytics

Program Snapshot
Salary and Careers
Program Benefits

Master of Science in Data Science and Analytics

The Master of Science in Data Science and Analytics (MSDSA) program at 食色视频 State University (食色视频) 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:

Fluency in analytical programming languages such as R, Python, and SAS, all necessary for the workforce.
Statistical and mathematical foundations emphasized throughout the program as essential to understanding model building.
Working directly with companies every semester in is possible. Previous sponsors include Equifax, Travelers, Southern Company, IHG, Shaw Flooring, Trusit Bank, Spanx, Atlanticus, and Coke One North America.
Capstone options include internships, applied research projects, research with faculty, working in a Center for Data Science and Analytics sponsored lab, and others.
Emphasis on communication of results and professional presentation skills, which is vital and helps our graduates stand out in job searches.
each fall and spring brings actively recruiting employers and industry professionals directly to the students in our programs who get to showcase their skills through poster presentations.
Students can take up to 9 hours of related courses in other programs at 食色视频 to help expand their knowledge and skills into related areas like Information Technology, Computer Science, Software Engineering, Business, Health, Social Sciences, and Education.

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Master of Science in Applied Statistics and Analytics students

Program Snapshot

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:

Fall, July 1^st
Spring, November 1^st

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Admissions Requirements

Online Graduate Application - There is a non-refundable $60 application fee.
Transcripts - Official transcripts from EACH college and/or university you have attended.
Bachelor鈥檚 degree with a minimum GPA of 2.75 from a regionally accredited college or university

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Additional Program Requirements:

Successful completion of math courses through calculus I and II (optional)
Resume or professional vitae documenting coursework, professional certifications, relevant work experience, professional activities

Data Science and Analytics Degree Benefits at 食色视频 State

Top 20

Schools in the U.S. that students want to attend reported by U.S. News and World Report
7,100+

Companies recruited students and alumni from 食色视频 in 2020

食色视频鈥檚 Data Science and Analytics degree program offers many unique training exercises not found in other statistics graduate programs, including:

Statistical Computing 鈥� Starting in your first semester, you will learn analytical programming languages such as SAS, R, and Python.
Applications Project 鈥� 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 鈥� 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.