Data Science and Engineering The City University of New York

Overview

The Data Science and Engineering programme at The City University of New York provides a rigorous academic framework for mastering data analysis and computational modelling. Students engage with a curriculum that bridges the gap between theoretical engineering principles and practical applications in modern industry settings.

This course is specifically designed for ambitious individuals aiming for influential positions within the technology sector. It also serves working professionals who wish to transition into data-centric roles or enhance their current analytical capabilities within their existing organisations.

By immersing students in a professional environment, the faculty ensures that graduates can effectively leverage data to solve complex problems.

Why Data Science and Engineering at The City University of New York?

The programme stands out for its interdisciplinary approach, applying core engineering and programming concepts to a diverse range of fields. This methodology ensures that students become versatile professionals capable of utilising computation and visualisation in any industry.

Students gain valuable research experience within a condensed timeframe, which is ideal for those pursuing careers in academia or high-level industrial research. The institutional focus on practical application allows for immediate skill implementation in real-world scenarios.

The faculty consists of experienced professionals who guide students through the complexities of machine learning and artificial intelligence. This mentorship is central to the learning experience, providing insights into the current demands and trends of the global data landscape.

Tuition Fee Breakdown

• International fee: USD 855 per credit
• National fee: USD 855 per credit
• Local fee: USD 470 per credit

Visit the Fees and Funding section for a breakdown in your local currency.

Syllabus

The curriculum focuses on the intersection of engineering, mathematics, and computer science. Modules may include:

• Calculus
• Linear Algebra
• Probability and Statistics
• Programming
• Artificial Intelligence
• Machine Learning
• Data Integration
• Computation and Modelling
• Data Visualisation
• Software Engineering

Careers with Data Science and Engineering

Graduates are prepared for a variety of high-impact roles within the global technology industry. The programme equips students with the technical proficiency required to excel as data professionals, engineers, and researchers in both private and public sectors.

Common career paths include positions in data analysis, machine learning engineering, and computational research. The skills acquired are highly transferable, allowing alumni to find success in diverse fields such as finance, healthcare, and software development.

The strong emphasis on research and practical project work also provides an excellent foundation for those wishing to continue their studies in doctoral programmes. Many graduates secure roles in prestigious research institutions or lead data initiatives within major corporations.