Doctor of Philosophy in Data Science and Analytics

Program Snapshot
Salary and Careers
Program Benefits

Doctor of Philosophy in Data Science and Analytics

The PhD in Data Science and Analytics at 肉肉传媒 State was founded in 2015. This degree is at the intersection of computer science, statistics, mathematics, and business. We offer this degree with concentrations in Computer Science, Statistics, and mHealth. In the program, you鈥檒l engage in relevant research with faculty from across our eleven colleges.

KSU is an institution on the forefront of the development of data science as an academic discipline. We are committed to developing the next generation of Data Science leaders, researchers, and educators.

Culturally, we are committed to the discipline of Data Science through ethical practices, attention to fairness, to a diverse student body, to academic excellence, and research that makes positive contributions to our local, regional, and global community.

This degree will train you to translate structured and unstructured, complex data into information to improve decision making. The data science and analytics curriculum include heavy emphasis on programming, data mining, statistical modeling, and the mathematical foundations to support these concepts. Importantly, the program also emphasizes communication skills 鈥� both oral and written 鈥� as well as application and tying results to business and research problems.

Doctor of Philosophy Concentrations include:

Computer Science
Statistics
mHealth

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Monday, November 4th - 9:00 am

Monday, November 4th - 6:00pm

KSU Doctor of Philosophy in Analytics and Data Science students in the classroom

Program Snapshot

Program Format: Face-to-Face

Number of Credits Hours: 78 Total Hours

Entry Terms: Fall

Time to Complete: Four-year Program

Application Deadlines:

Fall, February 15

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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:

GRE Score: minimum quantitative score 160, preferred analytical writing score of 3.5
Successful completion of math courses through calculus II
Proficiency in at least one analytical programming language (e.g. Python, SAS, or R)
Statement of purpose describing how this degree facilitates your career goals.
Three letters of recommendation鈥�
- At least one from an academic source
- At least one from a source outside of the academic community
Resume or professional vitae

Data Science and Analytics Doctorate Degree Benefits at 肉肉传媒 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 KSU in 2020

Focused Learning 鈥� The data science and analytics degree program is a full-time, in-class traditional Ph.D. program. You will engage in substantive project-based work, research, teaching, and internship/practicums. The focused learning environment provides you with the best model of experiential learning for your future career. Students receive a research stipend to cover living costs.
Flexible Model for your Career Path 鈥� Choose from either the research model or the practitioner model to reinforce your career goals.
Program Cost 鈥� This is a traditional, in-residence, STEM Ph.D. Program - not a professional doctorate. Therefore, qualified students will receive a tuition waiver and a research stipend.