Is this program right for you?
The amount and speed of data just keeps increasing—across every industry and in every sector. A Master of Engineering in Engineering-Engineering Data Analytics from the University of Wisconsin–Madison ensures that you are the person leadership relies on to optimize, analyze, and act on that information.
UW–Madison’s online engineering programs are consistently ranked in the 10 top by U.S. News & World Report. This Engineering Data Analytics program integrates sources and sensors, data architecture, software, analytics, and data visualization in one degree. It also supplements your existing engineering expertise and builds your project management and leadership skills.
Work with instructors and peers across a wide array of disciplines to understand the entire flow of data, from collection to storage, analysis to decisions. You complete core classes in data analytics and then drill down in electives based on your engineering field or interests.
Every course is different because every class is different. Your classmates may work down the hall, at your competitor’s business, or around the world and they come from multiple engineering backgrounds. You each bring real-world challenges from your workplace into the classroom to examine and practice together.
The online atmosphere is cooperative and interactive, so while you learn to couple your engineering knowledge with analytics, you also learn how to work collaboratively and remotely. Additionally, our instructors understand the challenges you face when working online while maintaining your current responsibilities at your job and in life. We support you throughout your education—so you stay engaged and on track to complete your degree, no matter what your timeline.
What you Learn
- Capture, store, clean, query, analyze, and visualize data
- Utilize data in the design, testing, and operations phases of multiple engineering processes
- Evaluate and implement the most effective computing technology, modeling techniques, and analysis methods for your projects
- Solve real-world problems using a variety of computer-assisted methods for analysis
- Demonstrate project management, team leadership, and effective communication skills
Where & How you learn
- Online; you may start in the fall or spring semester of any year
- Complete a 15-credit core curriculum in data analytics and 15 elective credits that span other online engineering and professional development courses
- Classes meet online once a week; each class is available at more than one time and is recorded, so you can participate regardless of your travel schedule or location
All applicants must:
- Have a bachelor of science degree from a program accredited by the Accreditation Board for Engineering and Technology (ABET) or the equivalent
- Have a minimum undergraduate grade point average (GPA) of 3.00 on the equivalent of the last 60 semester hours (approximately two years of work) or a master’s degree with a minimum cumulative GPA of 3.00; all GPAs are based on a 4.00 scale. Exceptions are considered.
- For applicants whose native language is not English, you must have a minimum score of 243 on the Test of English as a Foreign Language (TOEFL) iBT or 580 on the PBT
- GRE is not required. Applicants who have taken the test are encouraged to submit their scores.
- Exceptions to standard admission requirements are considered by the admissions committee on an individual basis