zzdedu
Master of Science in Data Science
We provide Master of Science in Data Science. We will wholeheartedly provide you with the best quality educational resources and support. We are committed to helping every student achieve greater success in this professional field and lay a solid foundation for future career development.
Master of Science in Data Science

  

About the course

There has been an explosion of data over the last decade. Everything that people do like listening to music, streaming shows, using social media or rideshares generates data. In fact, almost everything that goes on in the world today is measured and recorded somewhere. Analyzing that data can vastly improve human lives and business performance. So, it?s not surprising that analytics are now used routinely even in fields that did not use much data before like the Arts, Music, and Creative Writing. Analytics are also extensively deployed in Business, Engineering and Manufacturing and Government and even in many not-for-profit sectors like education, fundraising and social welfare. It is safe to say that virtually all human activity that affects our lives uses analytics in some way today.

  The MSDS at UWM is unique because its goal is to train graduates to practice data analytics in a field they are most passionate about. For example, if your interest is healthcare, you can become a data analyst in healthcare. If your passion is education, you can get the training to become an analyst in the field of education. The MSDS is therefore designed to give you the flexibility to build a career in data science in whatever field you want. Scholarships - View all scholarships Internships

  

Start dates and prices

Course fees are indicative and should be used as a guide. Speak to a counsellor to get an accurate price.

  Duration: 3 Semester(s)Fees: US$38,475

Intake Location
Spring (January), 2024 Milwaukee
Fall (September), 2024 Milwaukee
Spring (January), 2025 Milwaukee
Fall (September), 2025 Milwaukee
Spring (January), 2026 Milwaukee

  

How to apply

Entry requirements for University of Wisconsin - Milwaukee

For admission to the M.S. in Data Science program, students must meet the general requirements of admission to a graduate program at UW-Milwaukee. As stated by the Graduate School, these requirements include: (1) a baccalaureate degree, or its equivalent as determined by the UWM Center on International Education, from a regionally accredited institution, completed before the first term of enrollment in the Graduate School, (2) Proficiency in the English language, and (3) A minimum cumulative undergraduate grade point average (GPA) of 2.75 on a 4.0 scale, or an equivalent measure on a grading system that does not use a 4.0 scale. Students applying to the program are expected to have proficiency, demonstrated through coursework, exams or a portfolio, in the following areas: Linear Algebra (3 credits), Multivariable Calculus (4 credits), Statistics (3 credits), and Computer Literacy (6 credits). Those without these proficiencies may be admitted when they have 6 credits or fewer of the proficiency requirements remaining to be completed, but proficiency coursework does not count towards the MS. TOEFL IBT - 79 – 120, IELTS - 6.5 – 9.0, 550 PBT

  

English language requirements

  6.5

  Overall IELTS band score

  Book IELTS

  About IELTS

  Practice and prepare

  TOEFL Internet based overall score: 79.0

  

Application deadline:

This date isn’t available – speak to an IDP counsellor to get detailed information.

  

Further information

Career outcomesIf you aren’t eligible for the above entry requirements, you might want to explore pathway options at University of Wisconsin - Milwaukee. If you want to find out more, please speak to our counsellors.

  Pathway options to study at this institution

  

Reviews and rankings

What our students think

We’ve haven’t received any reviews for this institution yet.

Comments
Welcome to zzdedu comments! Please keep conversations courteous and on-topic. To fosterproductive and respectful conversations, you may see comments from our Community Managers.
Sign up to post
Sort by
Show More Comments
Related Course
Popular Course
Copyright 2023-2025 - www.zzdedu.com All Rights Reserved