Overview

Why Data Science at University of Wisconsin - Stevens Point?

The University of Wisconsin - Stevens Point is recognised for its commitment to academic excellence and innovation in teaching. The M.S. in Data Science programme stands out due to its comprehensive curriculum that integrates computer science, mathematics, and statistics. Students benefit from the expertise of distinguished faculty across six partner campuses in the University of Wisconsin system, ensuring a rich educational experience. The programme is designed to be flexible, allowing students to balance their studies with professional commitments while gaining a degree that is respected by employers. Data science is one of the most in-demand fields today, with roles expanding across various sectors. According to LinkedIn’s Emerging Jobs Report, data science positions have experienced substantial growth, making this an opportune time to enter the profession. Graduates are well-prepared to tackle real-world challenges, utilising their skills to drive data-informed decision-making within organisations.

Tuition Fee Breakdown

The tuition fee for the Master of Science in Data Science is set at USD 875 per credit for all students, irrespective of residency status. This flat fee structure simplifies financial planning for prospective students. Additionally, as an online programme, there are no extra course or programme fees, such as technology or segregated fees. For those requiring specific software or technology, these are provided without additional costs. Visit the Fees and Funding section for a breakdown in your local currency.

Syllabus

The M.S. in Data Science programme comprises 12 courses, focusing on various critical aspects of data science. The curriculum includes:

Data Analysis and Visualisation
Statistical Methods for Data Science
Machine Learning Techniques
Big Data Technologies
Data Mining and Predictive Analytics
Database Management Systems
Data Ethics and Privacy
Capstone Project in Data Science

This diverse range of subjects ensures that students acquire a well-rounded education, preparing them for the multifaceted challenges they will encounter in their careers.

Careers with Data Science

Graduates of the M.S. in Data Science programme find themselves well-equipped for a variety of roles in numerous industries. Alumni have successfully secured positions in technology firms, healthcare organisations, financial institutions, and government agencies. They work as data analysts, data scientists, machine learning engineers, and business intelligence developers. The skills acquired during the programme enable graduates to contribute effectively to their organisations, leveraging data to enhance operational efficiency and drive strategic initiatives. This programme not only opens doors to lucrative career opportunities but also prepares students to be leaders in the evolving field of data science.

Programme Structure

Courses include:

Data Science
Computer Science
IT Security

Software Development
Informatics

Key information

Duration

Part-time
- 24 months

Start dates & application deadlines

Starting 2026-05-19 00:00:00

Apply anytime.
Starting 2026-09-02 00:00:00

Apply anytime.
Starting 2027-01-20 00:00:00

Apply anytime.

More details

our online application and all required materials must be submitted to your preferred home campus generally 2-4 weeks prior to the date classes start.

Language

English

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IELTS

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Credits

30 SCH

Delivered

Online

Campus Location

Madison, 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

TOEFL^® IBT

Schedule TOEFL®

PTE Academic

Schedule a PTE test!

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

Aplicants must have a bachelor’s degree and cumulative grade point average (GPA) of 3.0.
Candidates will submit a resume and two letters of recommendation (professional or academic), along with a 1,000-word statement of personal intent describing your decision to pursue the degree.
Application materials must be completed two weeks prior to the semester start to be considered for admission.
Application form
Academic records
English Proficiency
Personal Statement
Passport or photocopy
Financial declaration

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

13125 USD / year

≈ 13125 USD / year
Out-of-State

13125 USD / year

≈ 13125 USD / year
Domestic

Applies to you

In-State

13125 USD / year

≈ 13125 USD / year

Additional Details

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.

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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

Additional Details

Funding

Scholarships Information

Available Scholarships

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