Overview

Why Data Science at University of Wisconsin-Eau Claire?

The University of Wisconsin-Eau Claire offers an innovative Master of Science in Data Science programme, which stands out as the first online master's degree in this field within the UW System. This programme is crafted with insights from industry leaders, ensuring that the curriculum is aligned with current market demands. The university is renowned for its commitment to academic excellence, providing a robust educational experience through expert faculty and state-of-the-art facilities. Students benefit from access to the latest technology and tools, such as SQL Server, R, Python, and Tableau, which are essential for data science professionals. The programme is designed to equip students with the skills necessary to transform complex data into actionable insights, a critical requirement in today’s data-driven world. Graduates emerge ready to meet the high demand for data scientists across various sectors, including healthcare, finance, technology, and more.

Tuition Fee Breakdown

The tuition fee for the Master of Science in Data Science is USD 875 per credit for both domestic and international students. This competitive pricing makes the programme an affordable option compared to similar graduate programmes. Visit the Fees and Funding section for a breakdown in your local currency.

Syllabus

The Master of Science in Data Science consists of a comprehensive 12-course, 36-credit curriculum, which includes the following key courses:

Foundations of Data Science: An introduction to data science and its significance in business decision-making.
Visualization and Unstructured Data Analysis: Focuses on the analysis and visualisation of unstructured data, including social networks.
Ethics of Data Science: Explores ethical considerations in data science, such as privacy and security issues.

This multidisciplinary approach integrates computer science, mathematics, statistics, management, and communication, preparing students to handle real-world data challenges effectively.

Careers with Data Science

Graduates of the Data Science programme are well-prepared for a variety of roles in a rapidly expanding field. Alumni have successfully secured positions as data scientists, data analysts, business intelligence managers, and enterprise strategy consultants, among others. The skills acquired during the programme enable graduates to thrive in diverse industries, including manufacturing, healthcare, finance, and information technology, showcasing the versatility and demand for expertise in data science.

Programme Structure

Courses include:

Foundations of Data Science

Statistical Methods

Programming for Data Science

Big Data: High-Performance Computing

Communicating about Data

Visualization and Unstructured Data Analysis

Ethics of Data Science

Data Science and Strategic Decision Making

Key information

Duration

Part-time
- 12 months

Start dates & application deadlines

Starting 2026-06-10 00:00:00
- Apply before 2026-05-15 00:00:00
Starting 2026-09-06 00:00:00
- Apply before 2026-08-15 00:00:00
Starting 2027-01-29 00:00:00
- Apply before 2027-01-15 00:00:00

Language

English

Duolingo English Test

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TOEFL^® IBT

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IELTS

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Credits

36 SCH

Delivered

Online

Campus Location

Eau Claire, United States

Disciplines

Data Science & Big Data View 192 other Masters in Data Science & Big Data in United States

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Academic requirements

GPA

English requirements

Duolingo English Test

115

Take A Free Practice Test!

TOEFL^® IBT

Schedule TOEFL®

IELTS

Prepare for Your English Test

Cathoven AI IELTS Preparation

Learn your IELTS Score

AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.

Trusted by 300k learners
98 accuracy using real exam data
4.9/5 student rating

Other requirements

General requirements

Official college transcripts (from each institution you attended).

Your resume.

Two letters of recommendation (can be professional or academic).

A personal statement of up to 1,000 words describing the reasons behind your decision to pursue this degree and what you believe you will bring to the data science field.

A bachelor’s degree from a regionally accredited college or university.

A cumulative grade point average (GPA) of 3.0. Students with a GPA of less than 3.0 may be considered for provisional admission.

Recent prerequisite coursework in elementary statistics, introductory computer programming and introduction to databases. Relevant work experience may be considered in lieu of this coursework.

No aptitude tests (GMAT, GRE) are required.

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.

International Applies to you

Applies to you

Non-residents

31500 USD / year

≈ 31500 USD / year
Out-of-State

31500 USD / year

≈ 31500 USD / year
Domestic

Applies to you

In-State

31500 USD / year

≈ 31500 USD / year

Funding

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

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Scholarships Information

Below you will find Master's scholarship opportunities for Data Science.

Available Scholarships

You are eligible to apply for these scholarships but a selection process will still be applied by the provider.

On this page

About

Overview

Programme Structure

Key information

Duration

Start dates & application deadlines

Language

Prepare for Your English Test

Credits

Delivered

Campus Location

Disciplines

What students do after studying

Academic requirements

English requirements

Prepare for Your English Test

Other requirements

General requirements

Tuition Fees

International Applies to you

Domestic

Funding

Scholarships Information

Available Scholarships

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