Overview

The Master of Science in Data Science at the University of Wisconsin Green Bay is designed to meet the increasing demand for skilled professionals in the data-driven landscape. This innovative programme equips students with the necessary tools to transform vast amounts of data into actionable insights, thereby enhancing decision-making processes in various sectors. With a focus on practical skills, students will learn how to clean, organise, analyse, and interpret unstructured data, enabling them to communicate their findings effectively.

Why Data Science at University of Wisconsin Green Bay?

Ranked among the top institutions for its commitment to online education, the University of Wisconsin Green Bay offers a unique blend of academic excellence and practical experience. The programme is delivered through UW Online Collaboratives, allowing students to learn from a diverse faculty with expertise across multiple disciplines. This collaboration enhances the learning experience, providing students with access to a wealth of knowledge and resources that are essential in today’s competitive job market.

Tuition Fee Breakdown

The tuition fees for the Master of Science in Data Science are structured as follows:

International Fee: USD 10,114 per year
National Fee: USD 10,114 per year
Local Fee: USD 5,122 per year

Visit the Fees and Funding section for a breakdown in your local currency.

Syllabus

The curriculum for the Master of Science in Data Science is designed to provide a comprehensive understanding of data science principles. Key modules include:

Data Management and Analysis
Statistical Methods for Data Science
Machine Learning Techniques
Data Visualisation and Communication
Big Data Technologies
Ethics in Data Science

This structure ensures that students gain both theoretical knowledge and practical skills, preparing them for various roles in the data science field.

Careers with Data Science

Graduates of the Master of Science in Data Science programme can pursue a variety of career paths in diverse industries. Alumni have found success in roles such as Data Analyst, Data Scientist, Business Intelligence Analyst, and Machine Learning Engineer. They are employed by leading organisations that require data-driven decision-making to enhance their operations and strategies. The skills acquired during the programme enable graduates to excel in sectors such as finance, healthcare, technology, and consulting.

Programme Structure

Courses include:

Data Science

Statistical Methods

Programming for Data Science

Data Warehousing

Big Data: High-Performance Computing

Communicating About Data

Data Mining

Visualization and Unstructured Data Analysis

Ethics of Data Science

Prescriptive Analytics

Data Science and Strategic Decision Making

Key information

Duration

Part-time
- 12 months

Start dates & application deadlines

Starting 2026-09-03 00:00:00
- Apply before 2026-07-01 00:00:00 , International
- Apply before 2026-08-14 00:00:00 , National
Starting 2027-01-26 00:00:00
- Apply before 2026-11-01 00:00:00 , International
- Apply before 2027-01-02 00:00:00 , National

Language

English

Duolingo English Test

110

Take A Free Practice Test!

TOEFL^® IBT

Schedule TOEFL®

IELTS

6.5

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

Credits

36 SCH

Delivered

Online

Campus Location

Green Bay, United States

Disciplines

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

Join for free or log in to access our complete career info list.

Academic requirements

GPA

English requirements

Duolingo English Test

110

Take A Free Practice Test!

TOEFL^® IBT

Schedule TOEFL®

IELTS

6.5

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

Baccalaureate degree from a regionally accredited institution

3.0 grade point average. Applicants with a GPA of less than 3.0 may be considered for provisional admission.

UW System application form

$56.00 application fee

Prerequisite courses: Recent coursework in elementary statistics, introductory computer programming and introduction to databases. Relevant work experience can be considered in lieu of this coursework.

Official transcripts from colleges and universities previously attended

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. Space for the personal statement is included in the online application.

Resume

Two letters of evaluation

MSDS Questionnaire

A test of English proficiency (TOEFL or IELTS)

Course-by-course transcript evaluation from a professional evaluation service currently recognized by NACES

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.

In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.

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

Our partners