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Data Engineering
The Data Engineering Master’s Program at the University of Wisconsin is a one-year, full-time, on-campus Master of Science program designed for students who wish to develop advanced skills in data architecture, big data processing, and data infrastructure. This program provides students with the technical expertise required to manage and engineer large-scale data systems and data pipelines, preparing them for leadership roles in the rapidly growing field of data engineering. Students will gain hands-on experience in cloud computing, data warehousing, and distributed computing while learning how to design, build, and optimize data infrastructure that powers modern data analytics platforms.
The curriculum is designed to provide a comprehensive understanding of both data engineering and data science, with courses in database management, data integration, and data security. Throughout the program, students will work on real-world projects that involve designing and optimizing data systems for large-scale enterprises, addressing challenges like data scalability, data quality, and real-time data processing. Upon graduation, students will be well-prepared to drive data-driven decision-making and innovative solutions in industries such as finance, healthcare, technology, and e-commerce.
Key information
Key Facts
- Program Title: Data Engineering
- Degree Type: Master of Science
- Duration: 1 year
- Mode of Study: Full-time, On Campus
- Application Deadline: 15 February 2026
- Location: University of Wisconsin, United States
- Field of Study: Data Science & Big Data
- Language of Instruction: English
Program Structure
Semester 1 – Foundations of Data Engineering
- Introduction to Data Engineering and Big Data Technologies
- Database Systems and Data Modeling
- Data Integration and ETL Processes
- Cloud Computing and Data Storage Solutions
Semester 2 – Advanced Data Systems and Analytics
- Distributed Data Processing and Systems Architecture
- Real-Time Data Streaming and Processing
- Big Data Tools and Frameworks (Hadoop, Spark)
- Data Security and Privacy in Engineering
Semester 3 – Data Engineering Techniques and Applications
- Data Warehousing and Business Intelligence
- Machine Learning Engineering for Big Data
- Data Governance and Ethical Considerations
- Data Visualization and Reporting
Semester 4 – Capstone Project and Professional Development
- Independent Capstone Project in Data Engineering
- Data System Optimization and Scaling
- Professional Networking and Career Development
- Emerging Trends in Data Engineering and AI
Career Opportunities
Graduates of the Data Engineering Master’s Program at the University of Wisconsin are well-equipped to take on a variety of roles in data engineering, data science, and big data management. Alumni are prepared to work as data engineers, data architects, cloud engineers, big data analysts, and data infrastructure specialists. With expertise in designing and optimizing data systems and data pipelines, graduates can find employment in technology companies, finance, e-commerce, and healthcare, among other sectors. Many graduates also pursue leadership roles in data management, analytics, and machine learning engineering. The program also provides a strong foundation for those interested in advancing their academic careers with further study in data science, machine learning, or artificial intelligence.
Why Choose This Program
The Data Engineering Master’s Program at the University of Wisconsin offers a cutting-edge curriculum that combines the technical depth of data engineering with the practical skills needed to design, implement, and manage large-scale data systems. This one-year, full-time program is ideal for students who want to develop a robust understanding of big data technologies, cloud computing, and real-time data processing. With a focus on both theory and application, the program ensures that students gain hands-on experience through capstone projects and real-world scenarios. Students will also have access to top-notch resources, including state-of-the-art labs and industry partnerships, making it an excellent choice for anyone seeking a career in data engineering or related fields. Graduates will be well-prepared to drive innovative solutions and data-driven strategies across a variety of industries, positioning them for success in the fast-evolving big data landscape.
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
