Data Science and Machine Learning

 

Recent advancements in computer hardware and machine learning algorithms have driven a rapid growth in the use of data science and machine learning across all economic sectors, with applications in robotics and automation, healthcare, finance, and government to name just a few. Because of this, there is now a huge demand for developers and data analysts with skills and experience in these fields.

In the Data Science and Machine Learning program, you will:

  • Study the fundamental concepts in mathematics and statistics that make these technologies possible.
  • Gain the skills to collect / organize data and use analytics to inform decisions.
  • Implement current machine learning algorithms to address common needs in industry.
  • Develop the skills to effectively communicate technical ideas with other developers as well as those without technical knowledge.
  • Experience working with industry to develop code for real applications in data science and machine learning.

Students graduating from DSML will be able to:

  • Use technical and data communication skills
  • Understand fundamental concepts in mathematics and statistics
  • Apply the most current machine learning algorithms
  • Use software to gather, parse, analyze, summarize, and manage data
  • Develop software using industry standard languages and libraries
  • List experience working with industry on their resume

Graduates would be eligible for the following job positions:

  • Data Architect
  • Data Analyst
  • Artificial Intelligence Developer
  • Machine Learning Developer
  • Robotics Developer
  • Bioinformatics Analyst
  • Data & Analytics Consultant
  • Backend Developer
  • Solutions Architect
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