Master’s in Data Science: Industry Concentration

On this page: Required Courses • Big Data • Natural Language Processing (NLP)

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CDS offers the Industry Concentration for the MS in Data Science. This concentration is specifically designed to respond to the needs and inputs from companies, allowing MS in Data Science students to apply the knowledge and skills obtained in their coursework to industry-related projects during the degree program. It requires more industry-targeted coursework and a Practical Training experience, including a mandatory internship within the first year of study. International students should consult NYU’s Office of Global Services on how to obtain early CPT status within their first year if pursuing this concentration. 

Required Courses

Students in this concentration will be required to take the following courses as part of their general electives requirement. All other requirements remain the same. For more information on the MS in Data Science curriculum, see the MS Curriculum page.

  • DS-GA 1009: Practical Training for Data Science within the first year of the program (3 credits in fall, spring, or summer)
  • 2 electives within the Big Data or Natural Language Processing subject areas (6 credits, see below for more details)

Big Data

The courses below fall within the Big Data subject area. This list is approved and reviewed annually by the curriculum committee:

  • DS-GA 1012 Large Language Models: Evaluation and Applications (formerly Natural Language Understanding and Computational Semantics)
  • DS-GA / CSCI-GA 2433 Database Systems
  • CS-GY 6083 Principles of Database Systems
  • CS-GY 6093 Advanced Database Systems
  • CS-GY 6313 Information Visualization
  • CS-GY 6323 Large-Scale Visual Analytics
  • CSCI-GA 2434 Advanced Database Systems
  • CSCI-GA 2436 Realtime and Big Data Analytics
  • CSCI-GA 2437 Big Data Application Development
  • CSCI-GA 3033 Cloud and Machine Learning
  • CSCI-GA 3033 Introduction to Deep Learning Systems
  • INTG1-GC 1025 Database Management & Modeling
  • MATH-GA 2047 Trends in Financial Data Science
  • TECH-GB 2350 Robo Advisors & Systematic Trading

Natural Language Processing (NLP)

The courses below fall within the Natural Language Processing subject area. This list is approved and reviewed annually by the curriculum committee.

  • DS-GA 1005 Inference and Representation
  • DS-GA 1008 / CSCI-GA 2572 Deep Learning
  • DS-GA 1011 Fundamentals of Natural Language Processing (formerly Natural Language Processing with Representation Learning)
  • DS-GA 1012 Large Language Models: Evaluation and Applications (formerly Natural Language Understanding and Computational Semantics)
  • DS-GA 1015 Text as Data
  • CSCI-GA 2590 Natural Language Processing
  • CSCI-GA 3033 Learning with Large Language and Vision Models
  • CSCI-GA 3033 Statistical NLP

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