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QS Rank:

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116

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University of Wisconsin-Madison

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Wisconsin

United States

The Master of Science in Data Engineering at the University of Wisconsin-Madison is an outstanding program designed to equip students with the essential skills and knowledge required to excel in the rapidly evolving field of data engineering. This program is meticulously crafted to encompass a comprehensive curriculum that blends theoretical foundations with practical applications, ensuring that graduates are well-prepared for the demands of the industry. With a focus on cutting-edge technologies, students will gain expertise in areas such as database systems, data warehousing, and data modeling, which are crucial for managing and analyzing large datasets effectively.

Throughout the 18-month duration of the program, students will engage with a rich array of courses that delve into the mechanics of data engineering. Core courses like Database Systems, Big Data Technologies, and Data Mining will provide students with a solid grounding in the principles of data manipulation and analytics. Additionally, advanced electives such as Machine Learning and Data Security will allow students to tailor their education according to their individual career aspirations, further enhancing their skill set and marketability in the job market.

The faculty at the Uw Madison College of Letters and Science comprises seasoned professionals and researchers who are at the forefront of their fields. With a commitment to fostering an engaging and interactive learning environment, instructors utilize a variety of teaching methodologies that include hands-on projects, collaborative group work, and individual research opportunities. This approach not only enhances the learning experience but also empowers students to apply their knowledge in real-world scenarios. Faculty members are dedicated to mentoring students, guiding them through complex concepts, and encouraging them to pursue innovative research projects.

Research opportunities abound within the program, with access to state-of-the-art facilities and resources. The university boasts cutting-edge laboratories equipped with the latest technologies in data analysis and engineering, allowing students to engage in meaningful research that contributes to the field. Collaborative research projects with faculty not only enrich the academic experience but also provide networking opportunities that can lead to internships and job placements upon graduation. The university’s strong ties to industry leaders facilitate valuable connections that can be pivotal for students embarking on their professional journeys.

Graduates of the Master of Science in Data Engineering program at the University of Wisconsin-Madison can expect to pursue a variety of rewarding career pathways. With an impressive median base salary of $110,000 and a graduation rate of 90%, the program demonstrates its effectiveness in preparing students for successful careers. Job roles such as Data Engineer, Research Data Scientist, and Data Architect are just a few of the options available to graduates. The diverse skill set gained through the program ensures that alumni are highly competitive in the job market, attracting attention from leading corporations and organizations.

Alumni of the program often share their success stories, highlighting the invaluable education and experiences they received at the University of Wisconsin-Madison. Many alumni have secured positions at prestigious companies, making significant contributions to their fields. Testimonials reflect the transformative nature of the program, emphasizing the strong foundation in data engineering that supports their professional growth.

Why Study Data Engineering at University of Wisconsin-Madison? Here are some compelling reasons to consider:

  • A strong emphasis on hands-on learning through practical projects and internships, ensuring students gain applicable skills.
  • Access to top-tier faculty who are leaders in data engineering research and practice, providing mentorship and guidance.
  • A collaborative learning environment with a diverse student body that fosters innovation and creativity.
  • Opportunities to participate in groundbreaking research projects with state-of-the-art facilities, enhancing the educational experience.
  • Strong industry connections that facilitate internships and job placements, boosting career prospects post-graduation.

To be eligible for admission into the program, prospective students must meet specific criteria. A minimum GPA of 3.0 on a 4.0 scale is expected, alongside a bachelor's degree that is equivalent to at least 16 years of education. International applicants must also demonstrate proficiency in English, with required scores of at least 7.0 on the IELTS or 92 on the TOEFL.

Application requirements include a $75 application fee, a transcript, a statement of purpose, a resume, and letters of recommendation from both academic and professional sources. The application deadline for the Fall intake is February 15, 2025.

In conclusion, the Master of Science in Data Engineering at the University of Wisconsin-Madison offers an exceptional educational experience that combines rigorous academic training with practical application. With a robust curriculum, distinguished faculty, and ample research opportunities, this program stands out as a premier choice for students seeking to advance their careers in data engineering. Whether pursuing academic research or entering the workforce, graduates will possess the tools needed to thrive in this dynamic industry.

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Total Tuition Fees

$45,000

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Duration

18 Months

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Median Salary

$1,10,000

Ranking

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#38

US World and News Report

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#81

The World University Rankings

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#116

QS World University Rankings

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Intake

Fall ( Sept - Nov )

Class Profile

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Class Size

25

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Average Age

26

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Average Work Experience

2 Years

Diversity

Others:

30%

Wisconsin:

45%

Illinois:

11%

Minnesota:

8%

Iowa:

6%

Career Outcomes

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Median Earnings After Graduation

$1,10,000 / year

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Graduation Rate

90%

Prospective Job Roles

Data Engineer

Research Data Scientist

Marketing Data Analyst

Data Integration Specialist

Math Data Analyst

HR Data Analyst

Clinical Data Manager

Data Entry Clerk

Spatial Data Scientist

Health Data Analyst

Data Science

Data Architect

Data scientist

Data Protection Officer

Japanese Data Scientist

Top recruiters

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Eligibility Criteria

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At least 3 / 4 undergraduate GPA is expected.

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At least 16 years of bachelor degree.

English Proficiency Tests

  • IELTS

    7

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  • TOEFL

    92

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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.

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Application Fee: 75

  • intake

    Transcript

  • intake

    Statement of Purpose

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    Resume

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    IELTS

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    Academic LOR

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    Professional LOR

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    Professional LOR

Application Deadlines

Standard Deadline
FallFeb 15, 2025

Fees and Funding

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Tuition Fees

$30,000 / year

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Overall Cost

$45,000 / year

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