Master of Information - Data Science

Data science is a field that covers a number of methodologies and techniques for collecting and analyzing data, big or small, in different contexts. The data science concentration in Rutgers’ online Master of Information program is unique in that it teaches students analytical thinking while keeping the larger context in mind. The data science concentration allows students to collect and analyze data for multiple applications in all kinds of different contexts. We are teaching them how to use statistical processing, machine learning, information visualization and more to apply to data analysis.

Our program is in the school of communication and information which prides itself on being multidisciplinary and interdisciplinary. What this means is that our professors come from a very diverse and rich set of backgrounds. Because of this, we are able to offer the kind of richness and diversity that other programs can’t and don’t.

Dr. Shah: Data Science is a field that covers a number of methodologies and techniques for collecting and analyzing data, big or small, in different contexts. The Data Science concentration in our MI program is unique in that it teaches the students analytical thinking but at the same time also keeping the larger context in mind.

So our Data Science concentration prepares our students to – uh, collect and analyze data for all kinds of different applications in all kinds of different contexts and we are teaching them how to do statistical processing, machine learning, information ritualization and these are some of the tools that they can take and apply on data analysis. Our program is in the School of Communication and Information which prides itself in being multidisciplinary and interdisciplinary.

What it means is we have faculty who come from a very diverse and rich set of backgrounds and because of that we are able to offer the kind of diversity, the kind of richness that other programs can’t and don’t.

The Data Science concentration in our MI program teaches our students not just to collect and analyze data but also to understand the larger context behind that data. For example, working with health data our students are able to not only analyze the health records but also look at those patients and their health information seeking needs. So by combining data and all these techniques and looking at health information seeking behavior the students are able to provide more meaningful insights to – uh, health care service providers, to website developers and government agencies in a way that perhaps other data scientists may not be able to. Many organizations, many sectors are looking for people who can do this kind of data related work. Sometimes they are looking for data scientists but other times they are listing different titles such as Predictive Analyst, Big Data Analyst, Data Wrangler, Web Analyst, Risk Manager and so these are some of the possible titles for data scientists.

Since Data Science is a highly interdisciplinary field we are open to accepting students who are also coming from different fields, different backgrounds. These students come from hard and soft sciences as well as arts and humanities.

We are looking for students who love working with real life problems, who don’t mind getting their hands dirty, and who are looking for a significant leg up in today’s competitive job market.

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