Knowing More Is Only the Beginning

You need a wider base of knowledge about data analytics and business intelligence and you need to focus on specific challenges within your industry. At Clarkson, you’ll master both. Our Data Analytics curriculum expands the mindset with 10 core courses emphasizing professional development: Required Courses (five):
  • Database Modeling, Design and Implementation
  • Optimization Methods for Analytics
  • Probability and Statistics for Analytics
  • Information Visualization
  • Data Mining
Elective Courses (Four): Elective courses are offered in a variety of areas, including but not limited to the following:
  • Tabular Data Analytics
  • Modeling for Insight
  • Geospatial Systems
  • Computational/Machine Learning
  • Artificial Intelligence
  • Human Computer Interaction
  • Econometrics
  • Digital Signal Processing
  • Design of Experiments and Analysis of Data
  • Pattern Recognition
  • Stochastic Processes for Engineers
  • Strategic Project Management
  • Marketing Research Methods
  • Data Warehousing
  • Big Data Processing
  • Big Data Architecture
Students also complete a final (or Capstone) project demonstrating newfound knowledge and skills as well as their ability to address the challenges faced by their company or a specific industry. Free introductory courses are offered online for accepted candidates from undergraduate backgrounds not covering calculus, programming and statistics. 2017-2018 Curriculum Sheet