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Engineering - Engineering Data Analytics
The Engineering - Engineering Data Analytics Master’s program at the University of Wisconsin is a dynamic one-year, part-time online program designed to equip professionals with the skills and knowledge necessary to leverage data analytics in engineering contexts. In today’s rapidly evolving technological landscape, data is a powerful tool for driving innovation, optimizing processes, and making informed decisions. This program focuses on key concepts in data analytics, machine learning, and statistical analysis, while applying them to engineering problems. Students will learn how to analyze large datasets, build predictive models, and utilize cutting-edge analytics tools to improve engineering processes and outcomes across various industries.
With a flexible, part-time structure delivered entirely online, this program is ideal for working professionals looking to enhance their career prospects without interrupting their current jobs. By the end of the program, students will have gained a strong foundation in data-driven decision-making and will be well-prepared to apply analytics techniques to solve complex engineering challenges. Whether in manufacturing, product design, or systems optimization, graduates of the program will be capable of making data-informed decisions that drive operational efficiency and innovation in engineering sectors.
Key information
Key Facts
- Program Title: Engineering - Engineering Data Analytics
- Degree Type: Master of Engineering
- Duration: 1 year
- Mode of Study: Part-time, Online
- Application Deadline: 01 July 2026
- Location: University of Wisconsin, United States
- Field of Study: General Engineering & Technology
- Language of Instruction: English
Semester 1 – Fundamentals of Data Analytics in Engineering
- Introduction to Engineering Data Analytics
- Statistical Methods for Engineering Applications
- Data Visualization and Communication
- Machine Learning for Engineers
Semester 2 – Advanced Techniques and Application
- Predictive Analytics and Modeling
- Optimization and Systems Engineering
- Advanced Machine Learning Algorithms
- Capstone Project: Engineering Data Analysis
Program Structure
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Career Opportunities
Graduates of the Engineering - Engineering Data Analytics program at the University of Wisconsin are well-equipped to pursue exciting career opportunities in industries that rely on data-driven solutions to solve complex engineering problems. With expertise in data analytics, machine learning, and engineering systems, students are prepared for roles such as data analysts, engineering consultants, systems engineers, and operations managers. These professionals are in high demand across sectors such as manufacturing, energy, automotive, and product design, where the ability to analyze and interpret data is crucial to improving operational performance and innovation. The program’s online, part-time structure allows students to apply what they learn in real-time to their current roles, enhancing their ability to contribute to their organization’s success while advancing their career. With access to a robust professional network and cutting-edge analytics tools, graduates will have the skills to drive data-centric decision-making and deliver impactful solutions in engineering contexts.
Why Choose This Program
The Engineering - Engineering Data Analytics Master’s program at the University of Wisconsin offers a unique opportunity to gain expertise in data-driven decision-making within the engineering field. This program is designed to be flexible, with a part-time online format that allows professionals to continue working while advancing their skills. By combining rigorous coursework in statistical analysis, machine learning, and optimization, students will learn how to apply data analytics techniques to solve real-world engineering challenges. The program also includes a capstone project, where students can work on practical problems relevant to their current roles, ensuring they gain hands-on experience. With the increasing reliance on data analytics across all industries, this program prepares graduates for leadership roles in engineering design, systems optimization, and data analytics. The University of Wisconsin’s strong academic reputation and its focus on industry-relevant skills make this program an excellent choice for professionals looking to enhance their technical expertise and career prospects in a rapidly changing field.
Contact Information
For further information, please contact the admissions office at:
Phone: +1 608-262-2433
Email: admissions@grad.wisc.edu
Address: 217 Bascom Hall, 500 Lincoln Drive, Madison, WI 53706, USA
