• This degree provides students with the knowledge and skill to solve real-world world challenges that require a combination of data management and data analytics skills.
  • Students will learn how to use the latest big-data infrastructures, such as Hadoop and Spark.
  • They will learn how to use the various analytical tools, including machine learning, data mining and data visualization. And students will learn how to apply these tools to real-world problems. 
  • This degree is designed for students with a range of backgrounds, but students are expected to have at least a strong math and science background to pursue this degree. 
  • They will learn how to apply the latest analytical tools through hands-on homework and projects.
  • Once students have completed the introductory and core courses, they are given a choice of electives to allow them to pursue their own interests within data science.
  • A total of 32 units is required for the degree.

    • NOTE : Students with limited or no training in computer science should take DSCI 549, DSCI 510 and DSCI 550  before taking any other classes.