University of Wisconsin, Madison - Master of Engineering: Engineering Data Analytics Program

University of Wisconsin-Madison’s online Master of Engineering: Engineering Data Analytics program is offered through the school’s Department of Engineering Professional Development. It stresses a multi-disciplinary approach to data analytics, focusing on the application of advanced computer technologies to effective problem solving in data collection, data management, and data analysis. The 30-credit program can be completed in two years of part-time study and is designed to accommodate students who may be working full-time.

The Engineering Data Analytics master’s program brings together knowledge and methodologies from engineering, science, and business. It draws on faculty and resources from the College of Engineering at UW-Madison, as well as from the university’s Departments of Statistics and Computer Sciences, and its School of Library and Information Sciences. Students learn about computer hardware, software, and systems integral to the field of analytics today, and about the techniques these technologies enable, including advanced data structuring, data visualization, and statistical and algorithmic modeling. The goal is to give students the tools and training required to solve real-world, big data problems with cutting-edge computer science.

UW-Madison’s Engineering Data Analytics master’s degree offers the rigor of a fixed curriculum and semester schedule, and the flexibility of online learning. Students log on to the school’s distance learning platform for weekly class meetings, conferences, and lectures. They can then complete assignments and access additional assets online. The programs’s curriculum features five required core courses: Database Design and Management; Industrial Data Analytics; High-Performance Computing for Applications in Engineering; Engineering Applications of Statistics; and Elements of Software Engineering. Students may then choose five elective courses in management, manufacturing, engine systems, controls, powers, and polymers.

The Master of Engineering: Applied Computing and Engineering Data Analytics degree at UW-Madison does not require any campus visits. However, it is affiliated with Wisconsin Applied Computing Center, and students in the master’s program have the option of attending the annual Wisconsin Forum on Advanced Computing in Engineering each spring.

UW-Madison is accredited by the Higher Learning Commission of the North Central Association of Colleges and Schools.

University of Wisconsin - Madison: Department of Engineering Professional Development

Programs Offered: Analytics (Master of Engineering)
Accreditation: Higher Learning Commission
Instruction Methods: Program uses a combination of synchronous instruction (students meet with faculty and classmates during weekly web conferences) and asynchronous instruction with online presentations, readings and project work.
Social Media: Facebook and Twitter

Online Master of Engineering: Engineering Data Analytics Option

Program Overview
Program Type: Analytics
Degree Conferred: Masters
Program Structure: Online instruction with no campus visits required
Example Courses: Introduction to Industrial Data Analytics, High Performance Computing for Applications in Engineering, Introduction to Database Design and Management, Introduction to Applied Statistics for Engineers
Program Website: epd.wisc.edu
Degree Requirements
Credits Required: 30 credits needed to graduate
Campus Visits Required: 0
Program Options
Program Start Dates: Fall admission only
Curriculum Options: Part-time only
Length of Program: Program can be completed in 2 years
Admission Requirements and Tuition Costs
Degree Required for Admission: Bachelor's Degree
GPA Requirements: Minimum GPA 3.0 (during last 60 semester hours)
Testing Requirements: Not required
Work Experience: Not required for admission
Tuition Costs: ~$48,000 + fees
Cost per Credit Hour: $1,600 per credit hour
Eligibility Information: Program currently accepts students from all 50 states