MS Big Data Analytics

Master of Science in Big Data Analytics

The MS in Big Data Analytics program, in the School of Science and Engineering, Miami, is developed to provide real-world experience in critical analytical skills that are needed in this fast-growing field. It focuses on preparing students to formulate strategies and make critical decisions based on real data.

The MS in Big Data Analytics (MSBDA) is built around the focus of providing graduates with an understanding of the technologies and methodologies necessary to create and manage big data storage infrastructure, large-scale dataset analytics, big data visualization, and big data applications in organizations.

Students will study:

  • Data Warehousing
  • Data Mining
  • Information Technology
  • Statistical Models
  • Predictive Analytics
  • Machine Learning
  • Application principles to sharpen their organizational and technical competencies to implement data gathering, cleansing, integration and modeling tasks and data asset analysis

The MSBDA is aimed at students who wish to become data scientists and analysts in various fields such as:

  • Biomedical Informatics Research
  • Social Network
  • Marketing
  • New Media
  • Finance
  • Other information intensive groups generating and consuming large amounts of data

The focus of the degree is on the scientific theories and engineering applications of data analytics for solving big data problems.

The unique features of this program that distinguishes its curriculum are: a.) a focus on offering contemporary and practical courses and projects in big data platform administration including data warehouse, data mining, data visualization and intelligence engineering management, b.) an emphasis on providing internship to cultivate the big data problem solving skills as data scientists or data engineers, and c.) an international perspective on big data technology and market services.

MS Big Data Analytics Degree Highlights

  • Gain valuable business intelligence and experience as you apply advanced scientific theories to solve complex Big Data problems.

  • Become an in-demand candidate for the many exciting roles in Data Analytics.

  • Learn the communication skills necessary to help businesses interpret data and make strategic decisions

Career Landscape

According to the State of Business Intelligence Software and Emerging Trends from A Forrester Research study showed that business analytics is the fastest growing category of global IT software expenditures, and approximately 69% of businesses are interested in using analytics. 

  • Our graduates will be able to find jobs in businesses as Data Administrators and Data Scientists
  • The demand to hire Big Data Analytics graduates is increasing
  • 73% of organizations have already invested or plan to invest in big data by 2017

Featured Professors

Curriculum (Course Sampling)

MAT 602 Applied Machine Learning 
CIS 541 Fundamentals of Big Data Analytics 
CIS 542 Internet Protocol and Network Security

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