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Online Master of Science in Data Science: Program Summary

Make a real-world impact by harnessing the power of data. With your online master of science in data science from WPI, you will master database management and analysis techniques such as machine learning and data-mining algorithms. You’ll gain a deeper knowledge of statistics and will have used a rich diversity of data-analysis software. WPI’s interdisciplinary approach rounds out your degree while developing your interpersonal and storytelling skills alongside technical mastery.

Programming and Math Foundations

Develop fundamental skills in the computing languages and mathematics that power data science

  • Understand foundational programming concepts as they relate to data structures
  • Apply design and analysis techniques to non-numeric algorithms that act on data structures such as lists, stacks, queues, and graphs in order to write programming for various applications 
  • Develop essential statistics and linear algebra skills for data science
Data Science Methods and Technologies

Apply the full scope of tools and technologies needed to create, manage, and analyze large-scale databases

  • Build aptitude in the theoretical and computational concepts used to analyze high-dimensional data sets
  • Learn the elements of theory and design for database management systems
  • Use relevant statistical methods such as predictive modeling, data dimension reduction, classification, and clustering
  • Understand the machine learning production lifecycle and apply solutions to address issues from real business case studies
Specialized Coursework

Choose from specializations in Artificial Intelligence (AI) & Machine Learning or Big Data Analytics or build your own area of focus from a range of electives

  • AI & Machine Learning: Examine research and perspectives on core concepts in knowledge discovery, data mining, artificial intelligence, and deep learning to inform hands-on projects
  • Big Data Analytics: Gain experience with the technologies and methods needed to visualize, manage, and analyze large-scale datasets for applications in business, research, and more
Capstone Experience

Apply what you’ve learned as a scientist, strategist, and professional to develop an implementable data-focused solution 

  • Examine research and perspectives on core concepts in knowledge discovery, data mining, artificial intelligence, and deep learning to inform hands-on projects
  • Gain experience with the technologies and methods needed to visualize, manage, and analyze large-scale datasets for applications in business, research, and more

Admission Requirements

  • 3.0 GPA in bachelor’s of science degree
  • Three letters of recommendation
  • Resume
  • Experience with a programming language such as Python, Java, C, or C++
  • Undergraduate coursework including algorithms, math, and statistics
Important Dates
  • Application Due:
    December 17, 2021
  • Next Start Date:
    January 12, 2022