How to Apply
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Learn machine learning algorithms, and statistical analysis to understand complex data, and leverage it to make informed business decisions. As part of the Rutgers Stackable Business Innovation Program (rSBI), the Data Analytics and Machine Learning Concentration is stackable with the following master's programs: Master of Information Technology and Analytics, MBA.
As rapidly growing amounts of data are created and used in industry and research environments, there is an increasing demand for people who are able to pursue data-driven thinking and decision-making using meaningful insights derived from large and diverse data. This concentration prepares students to deal with situations involving data-driven decision-making such as finding patterns in large amounts of data and using such discoveries to solve data problems and make useful predictions. Students will be trained in statistics fundamentals, basic computer programming, and machine learning algorithms that tap into knowledge on both fronts.
You can take the course listed below as individual classes or as stackable courses towards the completion of a concentration.
This course introduces statistics as applied to managerial problems. Emphasis is placed on conceptual understanding as well as conducting statistical analyses. Students learn the limitations and potential of statistics, gain hands-on experience using Excel, as well as various statistical techniques such as sampling, inference, and regression.
This course teaches the principles of programming for business analytics using the Python and R programming languages. Programming is the fundamental skill based on which all Information Systems are built. The course provides students with a working knowledge of programming and fundamental insights into what a programmer does.
This course offers students a practical introduction to using Machine Learning algorithms, tools, and techniques for solving problems that fall under the umbrella of Data Science. It is structured around learning concepts from the field of Machine Learning and applying them to data-intensive problems. While the course covers theories of Machine Learning and tools such as R, the focus is on using them for solving data-driven problems. The students will be introduced to several real-life problems that involve analyzing data for prediction, classification, organization, estimations, and pattern recognition.
The concentration and courses are offered by the Management Science & Information Systems Department
Sample Relevant Careers: Data Scientist, Data Analyst, Data Engineer, Business Analyst, Business Intelligence Specialist, Quantitative Researcher, Machine Learning Engineer, Marketing Analyst, Statistician