Programme Type:

Course Overview

Students will master both the theoretical knowledge and practical skills used by data scientists in academia, industry, and government. Core courses such as Statistical Machine Learning, Data Science, and Statistical Programming in R will train students to clean, process, visualize and archive modern datasets, including text, imagery, and biometric data, apply machine learning algorithms to real data, and use the mathematical and statistical language of data scientists. 

Each student will choose an applied field in which they will analyze data and explain the associated issues in that field, culminating in the final semester capstone experience, DATA-793 Practicum, working directly with faculty and other researchers' ongoing projects.

Data scientists have leadership roles in business, e-commerce, energy, entertainment, manufacturing, media, science, security, telecommunications, and politics. In government, data scientists inform policy decisions. In public health, data scientists detect disease outbreaks. In finance, big data is analyzed to determine risk and make economic projections. Environmental scientists use data science to understand the impact of human activity on the planet. And in business, data scientists help improve efficiency and increase sales.

Program tracks for this degree include:

  • Applied Public Affairs
  • Business Analytics
  • Computer Science
  • Cybersecurity
  • Environmental Science
  • Finance
  • International Economic Relations
  • Investigative Journalism
  • Microeconomic Analysis

Entry Requirement 

Admission to the Program

Open to students with a bachelor's degree from an accredited institution. Formal admission to the program requires a cumulative grade point average of 3.00 (on a 4.00 scale) and departmental approval. Students without sufficient mathematical background as determined by the program directors may be required to complete a mathematical boot camp prior to starting the program.

Fees

Graduate Credit Rate:

Per credit hour: $1631*


This information was accurate on : 30/11/2020
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