Overview

The Data Science M.S. at St. John's University provides students with the advanced technical expertise required to excel in the rapidly evolving fields of artificial intelligence and analytics. This comprehensive programme focuses on developing predictive models and driving informed decision-making through the rigorous analysis of complex datasets. Students benefit from a curriculum that balances theoretical foundations with practical, real-world applications.

The programme is housed within The Lesley H. and William L. Collins College of Professional Studies, ensuring a high standard of academic excellence and industry relevance. By engaging with cutting-edge tools and methodologies, learners prepare to navigate the challenges of a data-driven global economy.

Why Data Science at St. John's University?

Students gain access to the Institute for Data Science, which serves as a central hub for research activities and interdisciplinary collaboration. The university maintains strong industry links through memberships in the AWS Academy, Databricks University Alliance, and the IBM AI Alliance. These partnerships allow students to earn professional certifications, such as the AWS Cloud Foundation, alongside their academic degree.

The faculty consists of experienced scholars and practitioners who provide mentorship in specialised areas including natural language processing and generative AI. Facilities at the Queens campus support hands-on learning, while the diverse academic environment encourages innovation and entrepreneurship. Graduates join an extensive alumni network with proven success in sectors ranging from fintech to healthcare.

Tuition Fee Breakdown

• International fee: USD 1640 per credit
• National fee: USD 1640 per credit
• Local fee: USD 1640 per credit

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

Syllabus

The curriculum requires 30 credits of study, covering core concepts, data analysis, and specialised electives. Modules may include:

• Database Management Systems
• Data Science Concepts and Methods
• Machine Learning
• Predictive Analytics and Forecasting Models
• Natural Language Processing and Large Language Models
• Distributed Big Data Analytics
• Deep Learning Models in Machine Learning & Generative AI
• Data Visualization Applications
• Applied Analytics Project

Careers with Data Science

Graduates are prepared for high-demand roles across various industries, including technology, finance, and healthcare. The programme's specialisations allow students to target specific career paths such as:

• Data Scientist or Machine Learning Engineer
• Big Data Architect or Data Engineer
• Business Intelligence Analyst
• Security Data Scientist or Malware Analyst
• Healthcare Data Analyst or Informatics Specialist
• Marketing Data Strategist or Customer Insights Analyst

Alumni have successfully secured positions at prestigious organisations, including J.P. Morgan, demonstrating the programme's strong reputation in the professional sector. The skills acquired enable graduates to function effectively as team leaders and innovators in the global marketplace.