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Johns Hopkins Master of Science in Data Science

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Johns Hopkins Whiting School of Engineering

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Johns Hopkins Whiting School of Engineering

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$52,170.00 - $104,340.00

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From Johns Hopkins:

“The rigorous curriculum focuses on the fundamentals of computer science, statistics, and applied mathematics, while incorporating real-world examples. With options to study online and on-site in state-of-the-art facilities at the Johns Hopkins Applied Physics Laboratory, student learn from practicing engineers and data scientists. Graduates are prepared to succeed in specialized jobs involving everything from the data pipeline and storage, to statistical analysis and eliciting the story the data tells.

Upon completing the degree program, students will:

  1. Effectively and competitively respond to the growing demand for data scientists.
  2. Balance both the theory and practice of applied mathematics and computer science to analyze and handle large-scale data sets.
  3. Describe and transform information to discover relationships and insights into complex data sets.
  4. Create models using formal techniques and methodologies of abstraction that can be automated to solve real-world problems.”

Recommended Prerequisites: Undergraduate coursework with a minimum grade of B- in multivariate calculus, discrete mathematics (or linear algebra or differential equations), data science, and courses in Java, C++, or Python.

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