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Data Analytics (MS)

Data Analytics (MS)

Webster University

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Location

United States of America

Qualification

Post Graduate(PG)

Fees

Duration

3 to 4 years

Next intake

Fall, Summer, Spring

Entry score

2.5 (on a 4.0 scale)

The Master of Science (MS) in Data Analytics at Webster University prepares students to interpret and leverage large volumes of complex data to make informed business decisions. 📊🔍 This program focuses on developing and applying advanced data analytics skills to meet critical needs in the business world. Students will:

  • Integrate Business Concepts: Combine knowledge from various fields, including statistics, mathematics, computer science, business, accounting, finance, and management. 📈💡
  • Analyze Big Data: Use key methods and tools for large-scale data modeling and analysis. 📉📊
  • Solve Complex Problems: Address and solve challenging issues involving vast data sets in a realistic business context. 🧩🔧

The curriculum offers a robust foundation in data analytics, equipping students to handle and interpret big data effectively and strategically. 🌐🔎

By the end of the program, students will be able to:

  • Compose Query Statements: Implement data definition and manipulation using advanced query techniques. 📝🔍
  • Construct Multidimensional Data Cubes: Analyze complex data sets using multidimensional data cubes. 📊🔢
  • Apply Effective Data Methods: Utilize effective methods for analyzing, presenting, and using informational data. 📈🛠️
  • Develop Reports and Visualizations: Create meaningful reports and visualizations of business data analytics for both technical and non-technical audiences. 📉🖥️
  • Articulate Forecasting Models: Develop and explain forecasting and predictive models for real-world analytical applications. 📅🔮

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