Management of Technology: Data Analytics Badge

Program Summary

Data analytics turns measurements into insights to improve decision making in business. By leveraging advanced analytical techniques, businesses can uncover patterns, optimize operations, and drive strategic growth.

The NYU M.S. in Management of Technology program offers a series of electives in this area. Students earn the Management of Technology: Data Analytics badge by completing nine (9) credits of elective courses in the Data Analytics knowledge area. The current course offerings include:

• MG-GY 6103 Management Science

• MG-GY 8401 Programming for Business Intelligence and Analytics (1.5 credits)

• MG-GY 8411 Data Engineering (1.5 credits)

• MG-GY 8413 Business Analytics

• MG-GY 8421 Programming for Generative AI (1.5 credits)

• MG-GY 8423 Machine Learning for Business

• MG-GY 8863 From Correlation to Causation

Outcomes/Objectives

Students will develop the ability to:

• Learn how to rely on the scientific process to collect and interpret data through a mixture of quantitative techniques in order to predict, evaluate, and inform decisions in a variety of business areas, including operations, customer service, marketing, and finance.

• Apply statistical and machine learning techniques to analyze complex datasets and extract actionable insights.

• Develop expertise in data engineering and business intelligence to optimize data processing and visualization.

• Utilize generative AI and predictive analytics to enhance business strategy and innovation.

Earning Requirements

Students must complete nine (9) credits of elective courses in the Data Analytics knowledge area, with a final letter grade of B or above in each course.

Program Duration

9 credit hours

*This is an NYU Tandon internal, co-curricular micro-badge credential.