University of Wisconsin - Milwaukee · USA

Data Science

Campus Masters Full Time

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Delivery

Campus

Study mode

Full Time

Level

Masters

Starts

Fall, Spring

Introduction

Data Science is a Masters program taught at University of Wisconsin - Milwaukee, USA. Intake: Fall, Spring. The program is offered in campus-based modes with full-time (1–2 years) options.

The Master's Degree in Data Science at the University of Wisconsin-Milwaukee is designed to equip students with the crucial skills necessary to thrive in an increasingly data-driven world. The program covers foundational topics such as data mining, machine learning, statistical analysis, and data visualization, creating a comprehensive understanding of how to manipulate and interpret complex datasets effectively.

Students will experience a blend of theoretical knowledge and practical application, with coursework structured around real-world scenarios and projects. The curriculum typically includes core modules that delve into the intricacies of programming languages such as Python and R, as well as coursework focused on big data technologies and predictive analytics.

In addition to technical proficiency, this program emphasizes the importance of ethical considerations in data handling, preparing students to consider the social implications of their work. Opting to study at the University of Wisconsin-Milwaukee means being at the heart of a vibrant environment that fosters innovation and research, amidst a rich cultural landscape.

Admission Requirements

The minimum requirements for admission in Data Science at University of Wisconsin - Milwaukee for all applicants (Domestic or International) are:

program specific academic requirment set by University of Wisconsin - Milwaukee.
English Language OR any other language requirments as set by University of Wisconsin - Milwaukee as pre-requiste for admission in Data Science.

Note: Please check the university website in the link below.

Applicants to the Master's Degree in Data Science are generally expected to have a bachelor's degree in a related field such as Computer Science, Mathematics, Statistics, or Engineering. A solid foundation in mathematics and programming is highly desirable. Additionally, relevant work experience or projects related to data analytics will enhance an application. Candidates may also be required to submit academic transcripts, letters of recommendation, and a statement of purpose outlining their interest and goals in the field.

International applicants are typically required to demonstrate proficiency in English. The common benchmarks include an IELTS score of 6.5 or higher or a TOEFL score of 80 or higher. Some programs may have specific language requirements, so it is advisable to check the university's website for precise details.