UNIVERSITY OF WISCONSIN–MADISON · UNITED STATES
Data Engineering, MS
Master's · Taught in en
At a glance
—
Duration
—
IELTS
—
Tuition / yr
en
Language
Master's
Level
- 30Minimum credit requirement
- 16Minimum residence credit requirement
- 3.00Minimum Graduate GPA
The Master of Science (MS) in Data Engineering program at the University of Wisconsin–Madison equips students with the principles and practices for managing large-scale data. The curriculum focuses on the efficient collection, storage, management, and processing of datasets, which are crucial for supporting data science, data analytics, and data-driven systems. As data generation continues to grow exponentially across industries, there is a significant and increasing demand for skilled data engineers to build and maintain robust data handling infrastructure.
Curriculum
The MS in Data Engineering program requires a minimum of 30 credits, with at least 16 residence credits and 15 graduate-level coursework credits. Students must maintain an overall graduate GPA of 3.00. The curriculum includes foundational courses in data engineering, machine learning, algorithms, systems, and human-data interaction, along with electives. Some specialized courses can be counted towards a maximum of three elective credits.
- Core Courses
- Distributed SystemsCOMP SCI 739
- Big Data SystemsCOMP SCI 744
- Topics in Database Management SystemsCOMP SCI 764
- Data Exploration, Cleaning, and Integration for Data ScienceCOMP SCI 774
- Machine Learning Requirement
- Introduction to Artificial IntelligenceCOMP SCI 540
- Machine LearningCOMP SCI/ECE 760
- Advanced Deep LearningCOMP SCI 762
- Introduction to Machine Learning and Statistical Pattern ClassificationSTAT 451
- Introduction to Deep Learning and Generative ModelsSTAT 453
- Statistical LearningSTAT 615
- Algorithms Requirement
- Introduction to OptimizationCOMP SCI/ECE/I SY E 524
- Introduction to AlgorithmsCOMP SCI 577
- Nonlinear Optimization ICOMP SCI/I SY E/MATH/STAT 726
- Systems Requirement
- Foundations of Mobile Systems and ApplicationsCOMP SCI 407
- Introduction to Operating SystemsCOMP SCI 537
- Database Management Systems: Design and ImplementationCOMP SCI 564
- Introduction to Computer NetworksCOMP SCI 640
- Mobile and Wireless NetworkingCOMP SCI/ECE 707
- Advanced Computer NetworksCOMP SCI 740
- Humans and Data Requirement
- Data VisualizationCOMP SCI 765
- Human-Computer InteractionCOMP SCI/ED PSYCH/PSYCH 770
- Electives
- Introduction to Information SecurityCOMP SCI 642
- Graduate Cooperative Education 1COMP SCI 702
- Master's Thesis 1COMP SCI 790
- Master's Research 1COMP SCI 799
- Advanced Seminar in Computer Science 1COMP SCI 900
- Statistical Models for Data ScienceSTAT 611
- Statistical Inference for Data ScienceSTAT 612
- Statistical Methods for Data ScienceSTAT 613
Careers
Graduates of the MS in Data Engineering program are prepared for the high workforce demand in data engineering. The skills acquired are applicable across various industries that rely on managing and processing large datasets.
- Data Engineer
Frequently asked questions
- What are the academic entry requirements for the MS in Data Engineering program?
- Applicants need a bachelor's degree in computer science or a related field. You must also meet the Graduate School's minimum admission requirements, including English proficiency standards.
- Is the GRE required for admission to the MS in Data Engineering program?
- No, the GRE is not required for admission to this program.
- How many credits are required to complete the MS in Data Engineering?
- The program requires a minimum of 30 credits, including at least 16 residence credits and 15 graduate-level coursework credits.
- What is the application deadline for the MS in Data Engineering program?
- The application deadline for Fall admission is February 15. Spring and Summer admissions are not offered.
- Are there specific funding opportunities mentioned for this program?
- Funding opportunities like assistantships and fellowships are handled by the Graduate School and the Department of Computer Sciences, but students in this specific program are not eligible for tuition remission from graduate assistantships.
- What kind of careers can I pursue after graduating from this program?
- Graduates are prepared for high-demand roles as Data Engineers across various industries that manage and process large datasets.
Entry requirements
Bachelor's DegreeA bachelor's degree in computer science or a related field is required for admission.
Graduate School Minimum RequirementsRefer to the Graduate School's policy on English proficiency requirements.
Applicants must meet the minimum requirements of the Graduate School as well as the specific program requirements. The GRE is not required for admission. Three letters of recommendation are required.
Fees
Tuition (international)Information not available.
Tuition (home)Information not available.
LivingInformation not available.
Tuition and fees information is available from the Bursar's Office. Funding opportunities, such as assistantships and fellowships, are detailed by the Graduate School and the Department of Computer Sciences. Students in this program are not eligible for tuition remission from graduate assistantships.
How to apply
1. Research ProgramsExplore the MS in Data Engineering program and other offerings from the Department of Computer Sciences.
2. Review RequirementsEnsure you meet both the Graduate School's minimum admission requirements and the specific prerequisites for the Data Engineering MS program.
3. Prepare Application MaterialsGather necessary documents, including transcripts, and arrange for three letters of recommendation.
4. Submit Online ApplicationComplete and submit the online application through the UW–Madison Graduate School application portal.
Frequently asked questions
What are the academic entry requirements for the MS in Data Engineering program?
+
Applicants need a bachelor's degree in computer science or a related field. You must also meet the Graduate School's minimum admission requirements, including English proficiency standards.
Is the GRE required for admission to the MS in Data Engineering program?
+
No, the GRE is not required for admission to this program.
How many credits are required to complete the MS in Data Engineering?
+
The program requires a minimum of 30 credits, including at least 16 residence credits and 15 graduate-level coursework credits.
What is the application deadline for the MS in Data Engineering program?
+
The application deadline for Fall admission is February 15. Spring and Summer admissions are not offered.
Are there specific funding opportunities mentioned for this program?
+
Funding opportunities like assistantships and fellowships are handled by the Graduate School and the Department of Computer Sciences, but students in this specific program are not eligible for tuition remission from graduate assistantships.
What kind of careers can I pursue after graduating from this program?
+
Graduates are prepared for high-demand roles as Data Engineers across various industries that manage and process large datasets.