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Ming Taylor

1 week ago

PhD in Business Data Science (AI, Fintech, Analytics) at New Jersey Institute of Technology New Jersey Institute of Technology in United States

I am sharing a fully funded PhD opportunity in Business Data Science at NJIT for Fall 2026.

New Jersey Institute of Technology

United States

email-of-the@publisher.com

Dec 15, 2025

Keywords

Computer Science
Data Science
Finance
Artificial Intelligence
Business
Fintech
Text Analytics
Statistic
Strategic management
Machine learning

Description

The Martin Tuchman School of Management at the New Jersey Institute of Technology (NJIT) is inviting applications for its PhD in Business Data Science program, starting Fall 2026. As an R1 (top-tier) research university, NJIT offers a STEM-designated doctoral program that prepares scholars to lead at the intersection of business, data, and technology. The program features interdisciplinary training in business, data analytics, and computing, with research opportunities in artificial intelligence, fintech, and analytics. Students benefit from strong faculty mentorship, competitive funding, and scholarships. The program is ideal for candidates interested in cutting-edge research in AI, machine learning, and financial technology. Applicants should have a solid academic background in business, data science, analytics, computer science, or related fields. The priority application deadline is December 15, 2025, with a final rolling deadline of February 15, 2026. For more information, prospective students can contact Program Co-Director Ming Taylor. The program offers a supportive research environment and is designed to develop future leaders in business data science.

Funding

The program offers competitive funding and scholarships. It is described as fully funded for qualified candidates, with no specific stipend amount or tuition coverage details provided.

How to apply

Apply online to the PhD in Business Data Science program at NJIT's Martin Tuchman School of Management. Priority deadline is December 15, 2025; applications are accepted on a rolling basis until February 15, 2026. For questions, contact Program Co-Director Ming Taylor.

Requirements

Applicants should have a strong academic background in business, data science, analytics, computer science, or related fields. Specific requirements such as minimum GPA, standardized test scores, or language proficiency are not detailed in the announcement. Interest or experience in AI, fintech, or analytics is likely preferred.

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