Bloomberg has launched its prestigious Data Science Ph.D. Fellowship for the 2026-2027 academic year. The program seeks exceptional doctoral candidates pushing boundaries in artificial intelligence and data science. Applications are now open with a deadline of December 14, 2025. This initiative provides significant financial and professional support to cultivate future research leaders.

Bloomberg Data Science Fellowship Offers Comprehensive Support
The fellowship is designed to foster groundbreaking academic research. It provides substantial resources to help students focus on their studies. Selected fellows will receive full tuition coverage and a $45,000 annual stipend.
This stipend supports living expenses and professional development costs. Fellows can use funds for conference travel or essential research hardware. The program aims to remove financial barriers for promising researchers.
Fellows also gain invaluable industry experience. They are required to complete a 14-week paid summer internship at Bloomberg. These internships occur in major offices like New York, London, or Toronto.
Research Focus Spans Cutting-Edge AI and Financial Technology
The fellowship targets specific, high-impact research areas. Key topics include Agentic AI, Large Language Model reasoning, and multi-modal document understanding. Other priorities are trustworthy AI, knowledge graphs, and time-series modeling for finance.
This focus aligns with Bloomberg’s core business needs. The company relies on advanced data science for its financial terminals and news services. Research in these areas has direct, real-world applications.
According to Reuters, investment in AI talent is a top priority for financial firms. Bloomberg’s fellowship directly addresses this industry-wide trend. It helps bridge the gap between academic innovation and practical financial technology.
Eligibility and Application Process for Prospective Fellows
Applicants must be enrolled full-time in a doctoral program. Their expected graduation date must be no later than the end of 2029. The fellowship can be renewed annually for up to three years.
The application requires a detailed research proposal and a curriculum vitae. A reference letter from the student’s academic advisor is mandatory. The proposal must follow strict formatting guidelines provided by Bloomberg.
International students with appropriate self-sponsored work authorization may apply. Bloomberg will not provide visa sponsorship for this program. The selection process is highly competitive, emphasizing both academic excellence and research potential.
The Bloomberg Data Science Ph.D. Fellowship represents a major commitment to academic research. It provides a unique pathway for doctoral students to advance AI and data science. This program strengthens the vital connection between industry innovation and academic exploration.
Info at your fingertips
What is the application deadline for the Bloomberg Fellowship?
The application deadline is December 14, 2025. All materials, including reference letters, must be submitted by this date. Late applications will not be considered.
What financial benefits does the fellowship provide?
The fellowship covers 100% of tuition and provides a $45,000 annual stipend. This stipend is intended for living expenses and research-related costs. It also includes a paid summer internship at Bloomberg.
Are international students eligible to apply?
Yes, international students can apply if they have self-sponsored work authorization. This includes F-1 OPT or other EAD covering the fellowship period. Bloomberg does not provide visa sponsorship for this program.
What are the main research areas of interest?
Key areas include Agentic AI, LLM reasoning, and trustworthy AI. The program also seeks work on knowledge graphs and time-series modeling for finance. A full list of topics is provided in the official call.
Is the fellowship renewable after the first year?
Yes, the fellowship can be renewed annually for up to three years. Renewal is at Bloomberg’s discretion. Fellows must maintain full-time student status and meet program requirements.
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