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Clarkson University - Online Master of Science in Data Analytics

Clarkson University offers an online Master of Science in Data Analytics program that focuses on the tools and technologies used to collect, organize, and interpret large datasets for decision-making and optimization across a broad range of industries. The data analytics curriculum includes coursework in data mining, database systems, statistical modeling, and data visualization and structuring. This is a 33-credit master’s program that can be completed in one-and-a-half years of full-time enrollment. Students who opt for part-time enrollment are encouraged to finish the program in three years. The MS in Data Analytics program is 100% online and does not require any campus visits.

The MS in Data Analytics program at Clarkson University utilizes a learning management system (LMS) that supports synchronous instruction. Weekly lectures and class discussions are streamed in real-time through AdobeConnect, and students must be logged into the LMS to participate. Students can also interact with classmates and instructors through online discussion forums that are integrated into the LMS.

The MS in Data Analytics curriculum at Clarkson University is grounded in five core three-credit courses: Database Modeling, Design and Implementation; Optimization Methods for Analytics; Probability and Statistics for Analytics; Information Visualization; and Data Mining. Students can then choose four additional three-credit electives from an array of courses in other facets of analytics. These include: Data Warehousing; Modeling for Insight; Geospatial Systems; Computational/Machine Learning; Artificial Intelligence; Econometrics; Digital Signal Processing; and Marketing Research Methods. The program also includes a six-credit, applied analytics capstone, which challenges students to engage in a real-world data analytics project.

Clarkson University is accredited by the Commission on Higher Education of the Middle States Association of Colleges and Schools.

Clarkson University: Graduate School

Programs Offered: Analytics (Master of Science in Data Analytics)
Accreditation: Commission on Higher Education of the Middle States Association of Colleges and Schools
Instruction Methods: Program uses synchronous instruction. Students attend live lectures once a week using AdobeConnect and interact with classmates and instructors through online discussion forums.
Social Media: Facebook and Twitter

Online Master of Science in Data Analytics

Program Overview
Program Type: Analytics
Degree Conferred: Masters
Program Structure: Online instruction with no campus visits required
Example Courses: Database Modeling, Design and Implementation, Probability and Statistics for Analytics, Information Visualization, Data Mining
Program Website:
Degree Requirements
Credits Required: 33 credits needed to graduate
Campus Visits Required: 0
Program Options
Program Start Dates: Two cohort starts per year in January and September (students may start in May if they have enough prerequisites)
Curriculum Options: Full-time and Part-time
Length of Program: Full-time: program can be completed in 1.5 years; Part-time: program length depends on how many courses taken per semester, but students are advised to finish the program within 3 years
Admission Requirements and Tuition Costs
Degree Required for Admission: Bachelor's Degree
GPA Requirements: Minimum GPA 3.0
Testing Requirements: GMAT or GRE required (applicants with 7 years of relevant work experience may request a waiver, but waiver is not guaranteed)
Work Experience: Strongly recommended but not required
Tuition Costs: ~$49,632 + fees
Cost per Credit Hour: $1,504 per credit hour
Eligibility Information: Program currently accepts students from all 50 states