Overview
- Foundations of Data Science
- Exploratory Data Analysis
- Statistical Methods
- Programming for Data Science
- Data Warehousing
- Data Management for Data Science
- Big Data: High-Performance Computing
- Data Mining & Machine Learning
- Visualization and Unstructured Data Analysis
- Data Storytelling
- Ethics of Data Science
- Capstone Project
The Master of Science in Data Science at the University of Wisconsin La Crosse is an innovative programme tailored for professionals eager to deepen their understanding of data science and its applications across various industries. This fully online and asynchronous course allows students to learn at their own pace, providing the flexibility to balance work and study commitments effectively.
Why Data Science at the University of Wisconsin La Crosse?As one of the pioneering online data science programmes in the United States, the University of Wisconsin La Crosse has established a reputation for excellence in online education. The curriculum is crafted by experienced faculty and industry experts, ensuring that the content is both rigorous and relevant to current market needs. Students benefit from strong connections with industry professionals, enhancing their learning experience and career prospects.
Tuition Fee BreakdownThe tuition fee for the Master of Science in Data Science is set at USD 875 per credit for all students, irrespective of their residency status. This straightforward fee structure ensures transparency in financial planning for prospective students. Visit the Fees and Funding section for a breakdown in your local currency.
SyllabusThe programme comprises a comprehensive curriculum that includes the following core courses:
This curriculum is designed to equip students with the necessary skills to manage and analyse data effectively, communicate insights, and understand the ethical implications of their work in data science.
Careers with Data ScienceGraduates of the Master of Science in Data Science programme are well-prepared for a variety of roles in high-demand fields. Alumni have secured positions as Data Scientists, Business Intelligence Analysts, Data Engineers, and more, working in sectors such as healthcare, finance, and technology. The skills gained through this programme enable graduates to lead data-driven initiatives and make strategic decisions that impact their organisations positively.
With the increasing reliance on data across industries, the demand for skilled data science professionals continues to grow, making this an opportune time to pursue a degree in this field.
Programme Structure
Courses include:
- Statistical Methods
- Programming for Data Science
- Data Warehousing
- Big Data: High-Performance Computing
- Communicating About Data
- Data Mining and Machine Learning
- 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
- Apply before
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- Starting
- Apply before
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Language
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Credits
Delivered
- Semi-structured
Campus Location
- La Crosse, United States
Disciplines
Data Science & Big Data View 192 other Masters in Data Science & Big Data in United StatesWhat students do after studying
Academic requirements
English requirements
Prepare for Your English Test
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
- A baccalaureate degree from an accredited institution.
- An overall undergraduate grade point average of at least 2.85 on a 4.00 scale, an average of at least 3.00 in the last half of all undergraduate work, or an average of at least 3.00 for no less than 12 semester credits of graduate study at another accredited graduate school. Some programs have higher grade point average admission requirements.
- Departmental or school/college admission to enter the graduate program. Many graduate programs require additional supplemental application materials. Please refer to the website of the specific program for details.
- Satisfactory scores in all tests required by the program, department, or college. Please refer to the program website for test requirements.
Tuition Fees
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International Applies to you
Applies to youNon-residents31500 USD / year≈ 31500 USD / year - Out-of-State31500 USD / year≈ 31500 USD / year
-
Domestic
Applies to youIn-State31500 USD / year≈ 31500 USD / year
Funding
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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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