The University of Oklahoma - Online Master of Science in Data Science and Analytics Program

The Gallogly College of Engineering at the University of Oklahoma offers an online Master of Science in Data Science and Analytics (DSA) degree program. The program is designed to provide training in the analytical models and methods employed to extract knowledge from complex datasets, and in the skills and technologies used to assess risk, improve efficiency, and predict future performance in a business environment. Students must complete 33 credits of coursework in order to graduate. Full-time students can meet the crediting requirements in 14 months. The program length varies for those who pursue the degree part-time, depending on the number of courses taken per term. This program is 100% online and does not require any campus visits.

The online courses at the University of Oklahoma utilize an online social learning environment, or learning management system (LMS), that supports interactive asynchronous instruction. Lectures are produced in a digital studio, updated each semester, and made available to students on-demand. Students can then interact with classmates through LMS discussion boards, and instructors are available to meet with students via Skype and Google hangouts during scheduled office hours.

The Gallogly College of Engineering’s DSA curriculum draws on the resources of the School of Computer Science and the School of Industrial and Systems Engineering. It includes six core DSA courses: Computing Structures; Fundamentals of Engineering Statistical Analysis; Database Management Systems; Intelligent Data Analytics; Algorithm Analysis; and Advanced Analytics & Metaheuristics. Students then choose between a thesis and non-thesis track. Both include three additional DSA electives, in subject areas like: Artificial Intelligence; Machine Learning; Parallel Programming; Data Mining; Time Series Analysis; Text Analytics; and Decision Support Using Python. Students on the non-thesis track must complete a practicum at the end of the program. The thesis track substitutes a data science research project for part of the practicum.

The University of Oklahoma is accredited by the Higher Learning Commission.

The University of Oklahoma: Gallogly College of Engineering

Programs Offered: Data Science (Master of Science in Data Science and Analytics)
Accreditation: Higher Learning Commission
Instruction Methods: Program uses asynchronous instruction. Students view recorded lectures that are produced in a digital studio and updated each semester. Students interact with professors and classmates through online discussion boards and professors have live office hours using technologies like Skype and Google hangouts.
Social Media: Facebook and Twitter

Online Master of Science in Data Science and Analytics program

Program Overview
Program Type: Data Science
Degree Conferred: Masters
Program Structure: Online instruction with no campus visits required
Example Courses: Database Management Systems, Intelligent Data Analytics, Advanced Analytics & Metaheuristics, Artificial Intelligence, Machine Learning, Data Mining
Program Website: www.ou.edu
Degree Requirements
Credits Required: 33 credits needed to graduate
Campus Visits Required: 0
Program Options
Program Start Dates: Fall and Summer admission
Curriculum Options: Full-time and Part-time
Length of Program: Full-time: program can be completed in 14 months; Part-time: program length depends on how many courses a student takes per semester
Admission Requirements and Tuition Costs
Degree Required for Admission: Bachelor's Degree
GPA Requirements: Minimum GPA 3.0
Testing Requirements: GRE required
Work Experience: One year of programming experience or equivalent coursework
Tuition Costs: ~$19,800 + fees (in-state); ~$39,600 + fees (out-of-state)
Cost per Credit Hour: $600 per credit hour (in-state); $1200 per credit hour (out-of-state)
Eligibility Information: Program currently accepts students from all 50 states