QS Rank:

116

University of Wisconsin-Madison

Wisconsin
,United States

Program Name
Master of Science in Data Engineering

Deadline
July 15th, 2023
Overview

The Master of Science in Data Engineering at the University of Wisconsin-Madison is a premier program designed for individuals seeking to excel in the rapidly evolving field of data science. This program offers an in-depth focus on Database Administration and advanced computer science principles, ensuring that graduates emerge with a robust understanding of data management, analysis, and engineering. With a curriculum that blends theoretical knowledge with practical application, students will graduate equipped to tackle real-world challenges in data processing and analytics.
The core curriculum of the program encompasses a comprehensive array of subjects including Data Mining, Big Data Technologies, Machine Learning, and Cloud Computing. Students engage with courses that not only teach foundational concepts but also delve into cutting-edge technologies and methodologies. Courses such as Database Systems, Data Warehousing, and Advanced Analytics are specifically tailored to provide both the technical and analytical skills needed in today’s data-driven workplaces. The program also emphasizes project-based learning, allowing students to apply their knowledge in practical scenarios, thereby enhancing their problem-solving capabilities.
Faculty members at the University of Wisconsin-Madison are distinguished experts in their fields, bringing a wealth of experience and knowledge to the classroom. With backgrounds in academia, industry, and research, these educators employ innovative teaching methodologies that promote interactive learning and critical thinking. Students are encouraged to collaborate with faculty on research projects, gaining hands-on experience that can lead to significant advancements in their academic and professional careers. The faculty’s commitment to student success extends beyond the classroom, fostering mentorship and guidance throughout the program.
Research opportunities abound at the University of Wisconsin-Madison, with state-of-the-art facilities and resources available for students. The university hosts several research centers that focus on data and computing, providing students access to cutting-edge technologies and tools. Students can participate in ongoing projects that address real-world problems in various sectors, including healthcare, finance, and technology. This practical experience is invaluable, as it not only enhances academic learning but also strengthens students’ resumes upon graduation.
The university's extensive industry connections pave the way for lucrative internship opportunities and job placements. Students have access to a network of top-tier companies eager to hire graduates for roles such as Data Engineer, Machine Learning Engineer, and Business Analyst. The program has a strong track record of placing graduates in high-demand positions, with an average salary of $115,000 upon graduation. The Career Services office provides comprehensive support, from resume workshops to interview preparation, ensuring students are well-prepared to enter the competitive job market.
Alumni of the Master of Science in Data Engineering program have gone on to achieve remarkable success in their careers. Notable alumni include individuals who have assumed leadership roles in major tech companies, startups, and research institutions. Their stories of innovation, creativity, and impact in the field of data science serve as an inspiration for current students. The alumni network is a robust resource, providing mentorship and networking opportunities that can be pivotal in shaping students’ career trajectories.
In summary, the Master of Science in Data Engineering at the University of Wisconsin-Madison stands out for its rigorous curriculum, expert faculty, and ample research and career opportunities. The program not only equips students with the necessary technical skills but also fosters a spirit of inquiry and innovation, preparing them to become leaders in the field of data engineering.
Why Study Data Engineering at University of Wisconsin-Madison
- A popular choice for international students with a diverse community fostering collaboration and cultural exchange.
- Learn from esteemed faculty members who engage in groundbreaking research, providing students opportunities to become research assistants.
- Access to high-end laboratories and cutting-edge technology to facilitate comprehensive research and learning experiences.
- Excellent career placement programs post-graduation, with strong ties to industry leaders and a high job placement rate.
- A robust support system for student success, including career counseling, networking events, and workshops designed to enhance employability.
- Opportunities for interdisciplinary collaboration, allowing students to work across various domains and enhance their skill sets.

Duration
18 Months

Median Salary
$1,10,000
Ranking
#38
US World and News Report
#81
The World University Rankings
#116
QS World University Rankings

Intake
Fall ( Sept - Nov )
Class Profile

Class Size
50

Average Age
28

Average Work Experience
3 Years
Diversity
Others:
30%Wisconsin:
45%Illinois:
11%Minnesota:
8%Iowa:
6%Career Outcomes

Median Earnings After Graduation
$1,10,000 / year
Prospective Job Roles
Statistician
Data Engineer
Software Engineer
Research Scientist
Machine Learning Engineer
Database Administrator
Data Scientist
Business Analyst
Big Data Engineer
Operations Research Analyst
Top recruiters










Eligibility Criteria
English Proficiency Tests
TOEFL
92
IELTS
7
Application Requirements
Here's everything you need to know to ensure a complete and competitive application—covering the key documents and criteria for a successful submission.
Transcript
Academic LOR
Resume
Application Deadlines
Final Deadline | |
---|---|
Fall | Jul 15, 2023 |
Fees and Funding

Tuition Fees
$25,509 / year
Funding Options
External Sources - Scholarships
Department Funding
Scholarships
Wisconsin Alumni Association Scholarship
Graduate School Fellowship
FAQs
A student can complete Data Engineering at University of Wisconsin-Madison with in 18.
The deadline to submit an admission application for Data Engineering at University of Wisconsin-Madison is Application deadline Fall (Final Deadline) - date - 15/07/2023
The application fee to pursue Data Engineering at University of Wisconsin-Madison is USD 75 for international students.
The annual tuition fee to pursue Data Engineering at University of Wisconsin-Madison is USD 25509.
The submission of these scores mainly depends on the type of degree/ course selected at the University of Wisconsin-Madison. For example, the GMAT test is required to take admission to an abroad graduate management program, the LSAT is required during an abroad Law School admission process, and more. Therefore, check University of Wisconsin-Madison requirements before submitting a score.
Data Engineering can help Indian/ international students gain: 1. Quality and Practical Education 2. Global Recognition 3. International Exposure 4. Amazing Job Opportunities 5. Experience of Lifetime and more
If a student fulfils all the eligibility criteria and admission requirements of University of Wisconsin-Madison, they can easily pursue Data Engineering . The basic eligibility criteria include the following: 1. A GPA above 3 2. Well-written Statement of Purpose 3. An impressive Letter of Recommendation 4. A Work Experience Certificate (if required) 5. A Statement of Financial Proof 6. Academic Transcripts 7. Valid Visa, etc.
An MS degree at University of Wisconsin-Madison can usually be completed in 2 years. However, many universities offer a 1-year master’s specialisation as well. You can explore the official University of Wisconsin-Madison website to check the course/ degree duration.
One can apply for scholarships to pursue their international education at University of Wisconsin-Madison by: 1. Looking for country-specific scholarships by contacting the specific scholarship institutions. 2. Applying to or finding out if any subject-specific scholarships are available from the university website/ department.
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