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Data Science & Financial Technologies

  • For those interested in computer-based technologies and their increasingly important use of big data in finance.
  • Focuses on computational techniques needed in “real-time” computing environments including efficient trading systems, algorithms, high-frequency data analysis, interfaces, processing large databases, and the security of computer networks.
  • Essential for competitive financial firms demanding more efficient trading processes, data signal extractions with increased speed and lower costs.
  • Courses cover the latest tools and techniques of financial technologies (FinTech), computer science, and computational methods in finance, including machine learning, information retrieval, artificial intelligence, and deep learning.

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