The School of Business at LIU Brooklyn offers a new, 30-credit, specialized Master of Science in Data Analytics program (MDA) with a blend of data science, IT, and business courses to prepare students for the demand in industries for data-literate managers and data scientists with solid business knowledge and analytical skills.
The MDA program is designed for recent graduates or working professionals in their early or mid-career phases. The ideal student should have basic quantitative and IT knowledge and skills through prior coursework or working experience and be highly motivated to learn how to deal with data as a strategic asset and apply IT and analytic methods to make data-driven business decisions.
The program is a STEM Designated Degree Program, which allows international students eligible to apply for a 24-month STEM OPT extension after their initial post-completion OPT.
Each applicant should submit the following items for admission:
The curriculum provides students with fundamental data-driven analytical methods and skills to interpret and present digital data and produce practical and meaningful insights of customers, products, services, and marketplaces, which can lead to better, more informed business decisions, innovative business models and sustainable competitive advantages.
Towards the end of the program students will have the opportunity to apply classroom knowledge in real-life data analytics problems through the required course of Global Capstone Action Learning Internship.
Upon completing the program students should develop applied knowledge and interdisciplinary understandings of data asset, data collection, data management, data communication, data storage, data visualization, data mining, machine learning, data security, information privacy, and business intelligence in the industries of consulting, accounting, finance, marketing, IT, supply chain and logistics, gaming, sports, fashion, or health care.
The program takes place on the LIU Post campus with classes held during the evenings and weekends. Students may take the majority of the coursework in the fall and spring semesters, and complete the required analytics capstone internship in the following summer before graduation.
The program offers both full-time and part-time options. Full-time students can complete the program in one year. Part-time students may spread their studies over a longer time frame, and complete the program in two years.
This career-oriented capstone course provides students in the latter stage of the program synthesizing, practical, in-depth field experience of working with business organizations on a real-world data analytics project based upon a learning contract approved by the program director and the mentor in the hosting or sponsor firm either in the United States or abroad. Each internship requires at least one month or 100 hours under supervision of a data analytics practitioner on site. At the end of the internship the student will prepare a substantial Capstone Project Report concerning his/her experience, and give a presentation to invited executives and program sponsors.
Executives, representatives and scholars from the following institutions and organizations have been invited to serve on the advisory board of the program:
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