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Data Analytics: MDATA

Data Analytics

The USU Master of Data Analytics (MDATA) program trains the next generation of statisticians, business analysts, and computer scientists to meet the increased demand for analytic professionals. The program integrates coursework in Statistics, Management Information Systems, Economics & Finance, and Computer Science. An MDATA degree gives graduates a broad but focused set of knowledge and tools applicable to data management and analysis for use in a variety of organizations.

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  • Management Information Systems (MDATA): MIS specialization students become experts in data management and analysis, including data warehousing, data mining, visualization, and machine learning. Their analysis drives business decision-making with a forward-thinking focus: “What’s next?” and “What should we do?” Using predictive techniques, they provide operational and strategic direction to executives.
  • Economics and Finance (MDATA): Economics and Finance specialization students become experts in applying data analysis for decision making in applied finance, including asset pricing, portfolio analysis, risk management, and trading. They learn to apply techniques like Monte Carlo simulation for derivative pricing and back-testing trading strategies, and financial econometrics for volatility modeling and asset price prediction.
  • Statistics (MDATA): Statistics specialization students become experts in areas that are critical for modern analytics such as statistical computing and programming, visualization, high-dimensional data analysis, classification and neural networks, and data dredging and management. They learn to critically interpret data and draw valuable insights from it.

Admission Requirements

Eligibility for admission will be decided by a review committee specific to the specialization indicated on your applicaiton.

Minimum expectations include:

  • Complete and submitt applicaiton to the USU School of Graduate Studies
    • Be sure to indicate which specialization option you wish to complete
  • Completion of a bachelor’s degree with a minimum 3.0 GPA
  • Entrance exam required: GRE
  • Three letters of recommendation -- If the student has been out of school for more than two years, all recommendations can be professional letters of recommendation.
  • TOEFL Scores: 213 Computer, 79 Internet (international students) -- This requirement will be waived if a student has a degree from a university in an English-speaking country.

John Stevens, PhD, Purdue University
Professor, Assistant Department Head for Graduate Studies
Department: Mathematics and Statistics Department
Area: Bioinformatics, applied statistics, meta-analysis
Office: ANSC 224
Phone: (435) 797-2818

Kelly Fadel, PhD, University of Arizona
Associate Professor
Department: Data Analytics and Information Department
Area: Web development
Office: BUS 705
Phone: (435) 797-2348

Rick Hornsby, MBA, Utah State University
Lecturer, and Graduate Program Director
Department: Economics and Finance Department
Area: Finance
Office: EBB 607
Phone: (435) 797-5786