M.S. in Data Science 24 months Postgraduate Program By Michigan Technological University |Top Universities

M.S. in Data Science

Subject Ranking

# 551-600QS Subject Rankings

Program Duration

24 monthsProgram duration

Main Subject Area

Physics and AstronomyMain Subject Area

Program overview

Main Subject

Physics and Astronomy

Study Level

Masters

Today, society generates much more data than organizations are able to effectively consume. As a result, only a tiny fraction of that data is ever analyzed. The result is that the need for trained data scientists is growing exponentially. Data is produced in almost every sector and can come from a variety of sources such as social media, telecommunications, e-health networks, sensors, satellites, military surveillance, and scientific research. Integrating technical expertise, content knowledge, and well-developed communication skills, Data Scientists occupy a unique niche and possess a skill set that is in very high demand.In this interdisciplinary degree, students will develop skills related to data mining, predictive analytics, cloud computing, data-science fundamentals, communication, and business acumen. In addition to core courses, students will work with their advisors to select a set of domain-specific courses; in practice, combining technical skills with content knowledge allows students to tailor their degree to particular fields. This unique characteristic of the curriculum enables graduates to gain practical domain knowledge in preparation for immediate employment. The Data Science Master's degree is designed as a terminal degree to prepare students for careers in government or industry. Depending on the choice of domain specialty, students could apply this degree to a variety of fields, including: physical sciences, geosciences, geoinformatics, bioinformatics, cheminformatics, environmental science, social sciences, or business and commerce.

Program overview

Main Subject

Physics and Astronomy

Study Level

Masters

Today, society generates much more data than organizations are able to effectively consume. As a result, only a tiny fraction of that data is ever analyzed. The result is that the need for trained data scientists is growing exponentially. Data is produced in almost every sector and can come from a variety of sources such as social media, telecommunications, e-health networks, sensors, satellites, military surveillance, and scientific research. Integrating technical expertise, content knowledge, and well-developed communication skills, Data Scientists occupy a unique niche and possess a skill set that is in very high demand.In this interdisciplinary degree, students will develop skills related to data mining, predictive analytics, cloud computing, data-science fundamentals, communication, and business acumen. In addition to core courses, students will work with their advisors to select a set of domain-specific courses; in practice, combining technical skills with content knowledge allows students to tailor their degree to particular fields. This unique characteristic of the curriculum enables graduates to gain practical domain knowledge in preparation for immediate employment. The Data Science Master's degree is designed as a terminal degree to prepare students for careers in government or industry. Depending on the choice of domain specialty, students could apply this degree to a variety of fields, including: physical sciences, geosciences, geoinformatics, bioinformatics, cheminformatics, environmental science, social sciences, or business and commerce.

Admission requirements

6+

Tuition fee and scholarships

One of the important factors when considering a master's degree is the cost of study. Luckily, there are many options available to help students fund their master's programme. Download your copy of the Scholarship Guide to find out which scholarships from around the world could be available to you, and how to apply for them.

In this guide you will find:
opportunities

Where to look for scholarship opportunities

how_to

How to apply to scholarships relevant to you

list

A list of available scholarships around the world

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A scholarship application checklist

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More programs from the university

As an undergraduate student at Michigan Tech, it’s simple: if you want to do research, you can. Real research—the kind that creates solutions for industry, gets patented (sometimes with your name on it!), or addresses the problems of our modern world. Last year, our undergraduates spent 126,000 hours working on paid research.We’re ranked among the top twenty universities in the US in the proportion of research that’s sponsored by industry. And nearly 25 percent of our invention disclosures include the names of students as inventors. Students also get published in scientific journals, present at national conferences, and interact with scientists and entrepreneurs from around the world.

Graduate programs at Michigan Tech have rigorous academic requirements set by the Graduate School. The links on this page detail these requirements, procedures to complete a graduate degree, and forms required to track your progress. Graduate programs may have additional requirements for students.

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