Bloomberg Data Science Ph.D. Fellowship 2027 | Fully Funded

Bloomberg Data Science Ph.D. Fellowship 2027 offers expected full tuition funding, a $45,000 grant, mentorship and a paid internship. Check eligibility, dates and application details.

What if your PhD research could move beyond university laboratories and contribute to real-world artificial intelligence, machine learning and financial technology? The Bloomberg Data Science Ph.D. Fellowship 2027 is a high-value opportunity to watch for doctoral researchers working on advanced data science and AI problems. Based on Bloomberg’s previous application cycle, the expected deadline is December 14, 2026, at 11:59 PM AoE, with expected award notification on February 9, 2027. These 2027 dates follow the exact month-and-day schedule of the previous cycle but remain expected rather than officially confirmed until Bloomberg publishes the new call.

Bloomberg Data Science Ph.D. Fellowship Overview

The Bloomberg Data Science Ph.D. Fellowship is an industry-funded doctoral research opportunity for exceptional PhD students conducting research in data science, artificial intelligence, machine learning and closely related fields.

The fellowship is designed to encourage groundbreaking research publications, open-source contributions and other forms of research dissemination. Bloomberg also provides fellows with mentorship, career counseling and research internship opportunities. The latest confirmed fellowship cycle offered 100% tuition coverage, a USD 45,000 grant and a required 14-week paid summer research internship. These benefits are used as the reference point for the 2027 guide, but applicants should verify the final 2027 package when Bloomberg releases its official announcement.

Bloomberg Data Science Ph.D. Fellowship Details

• Host Organization: Bloomberg L.P.
• Study Destination: Applicant’s doctoral university, with Bloomberg activities potentially involving New York, London or Toronto
• Funded By: Bloomberg L.P.
• Application Portal Link: To be announced for the 2027-2028 cycle
• Degree Level: PhD / Doctoral
• Scholarship Type: Industry-funded doctoral research fellowship
• Number of Scholarships: Not publicly specified
• Maximum Funding: Latest confirmed package: 100% tuition plus USD 45,000 fellowship grant
• Study Level: Full-time doctoral study
• Duration: Up to three years through annual renewal, based on the latest confirmed structure
• Application Deadline: December 14, 2026, at 11:59 PM AoE – Expected
• Program Start: 2027-2028 academic year – Expected
• Award Notification: February 9, 2027 – Expected
• Summer Internship: Summer 2027 – Expected
• Academic-Year Kickoff: Fall 2027 – Expected

The previous official cycle used a December 14 deadline and February 9 award notification. The 2027 dates above apply the same month/day pattern one year later and should therefore be treated as projections until Bloomberg confirms them.

Is Bloomberg Data Science Ph.D. Fellowship 2027 Fully Funded?

Based on the latest confirmed Bloomberg fellowship package, the program provides full tuition coverage and a substantial fellowship grant.

The previous cycle provided:

• 100% tuition coverage
• USD 45,000 fellowship grant
• Living-expense support
• Conference support
• Research-expense support
• Paid 14-week summer research internship

For the 2027-2028 cycle, applicants should wait for Bloomberg’s official announcement before treating these amounts as guaranteed. The USD 45,000 amount is the latest officially confirmed figure.

Bloomberg Fellowship 2027 Eligibility Criteria

The exact 2027 eligibility rules will be confirmed when Bloomberg publishes the new fellowship call.
Based on the latest official cycle, applicants were required to:

• Be full-time doctoral students during the fellowship academic year.
• Have an expected PhD graduation date within Bloomberg’s specified eligibility window.
• Remain enrolled full-time for the duration of the grant.
• Attend Bloomberg’s academic-year kickoff event in New York unless the event is online-only.
• Complete a 14-week paid summer research internship for each year of the fellowship.
• Complete the internship in New York, London or Toronto.
• Not receive another industry fellowship during the Bloomberg fellowship.
• Obtain Bloomberg’s permission before taking outside employment.
• Have appropriate work authorization for the required internship.
• Understand that Bloomberg does not provide U.S. visa sponsorship.

Applicants targeting 2027 should use these requirements for preparation but confirm every condition against the official 2027 announcement.

How long is the Bloomberg Data Science Ph.D. Fellowship?
The latest fellowship could be renewed annually for up to three years at Bloomberg’s discretion.

Who Can Apply for Bloomberg Data Science Ph.D. Fellowship 2027?

The fellowship is particularly suitable for doctoral researchers whose work overlaps with Bloomberg’s data science and AI research priorities.

Potential applicants include researchers working in:

• Artificial intelligence
• Machine learning
• Data science
• Computer science
• Natural language processing
• Large language models
• Information retrieval
• Conversational AI
• Knowledge graphs
• Multimodal AI
• AI for finance
• Financial machine learning
• Time-series modeling
• Trustworthy AI
• Explainable AI
• Human-AI interaction

A strong academic profile alone is not enough. The research proposal should demonstrate technical originality and a clear connection between the proposed research and relevant Bloomberg research areas.

What research fields are covered by the Bloomberg fellowship?
The latest call covered agentic AI, LLM reasoning, LLM evaluation, code generation, information retrieval, conversational systems, knowledge graphs, multimodal AI, AI for finance, trustworthy AI and related areas.

Bloomberg Data Science Fellowship Research Fields and Programs

Bloomberg’s latest published call listed several areas of interest. The 2027 topics may change, so applicants should verify the new list when Bloomberg publishes it.

Agentic AI and LLM Reasoning

• Agentic AI
• Large language model reasoning
• AI agents
• Autonomous AI systems
• Multi-step reasoning
• AI planning
• Tool-using language models

Agent Evaluation and LLM Judges

• LLM evaluation
• AI model evaluation
• LLM judges
• Automated evaluation
• AI benchmarking
• Reasoning evaluation
• Model quality assessment

Code Generation, Semantic Parsing and Text2API

• Code generation
• Program synthesis
• Semantic parsing
• Text-to-API systems
• AI software engineering
• Natural language programming
• Code intelligence

Human-AI Interaction and Data Annotation

• Human-AI interaction
• Human-centered AI
• Data annotation
• Human feedback
• Interactive machine learning
• AI-assisted workflows
• Annotation systems

Information Retrieval and Conversational Systems

• Information retrieval
• Conversational AI
• Search systems
• Question answering
• Dialogue systems
• Retrieval-augmented generation
• Enterprise search

Knowledge Graphs and Structured Reasoning

• Knowledge graphs
• Structured reasoning
• Knowledge representation
• Graph machine learning
• Entity linking
• Relational reasoning
• Semantic networks

LLM Post-Training, Domain Adaptation and Alignment

• LLM post-training
• Domain adaptation
• AI alignment
• Model fine-tuning
• Instruction tuning
• Preference optimization
• Domain-specific language models

Multimodal Models for Document Understanding

• Multimodal AI
• Document understanding
• Vision-language models
• Document intelligence
• Multimodal machine learning
• Optical character recognition
• Financial document analysis

Summarization and Content Generation

• Automatic summarization
• Generative AI
• Natural language generation
• Content generation
• Long-document summarization
• AI-assisted writing
• Text generation

Time-Series Modeling and AI for Finance

• Time-series modeling
• Financial machine learning
• AI for finance
• Quantitative finance
• Financial forecasting
• Market data modeling
• Financial prediction

Trustworthy AI and Interpretability

• Trustworthy AI
• Explainable AI
• AI interpretability
• Responsible AI
• Model transparency
• Algorithmic reliability
• AI risk management

These topics are based on Bloomberg’s most recently published fellowship call and are not a guarantee of the final 2027 research priorities.

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Application Requirements for Bloomberg Fellowship

The 2027 application requirements will be confirmed by Bloomberg when the application opens.

Based on the latest cycle, applicants should prepare:

• Curriculum vitae
• Two-page technical research proposal
• Reference letter from their advisor or proposed advisor
• Optional additional referee
• Referee contact information
• Research proposal formatted according to Bloomberg’s required template
• Complete online application

Bloomberg previously stated that incomplete proposals would not be considered and that applicants had to follow the required proposal formatting guidelines.

Required Documents for Bloomberg Data Science Ph.D. Fellowship 2027

• Curriculum vitae
• Two-page research proposal excluding references
• Reference letter from the applicant’s advisor or proposed advisor
• Optional additional reference letter
• Referee contact information
• Academic information requested by the application system
• Any additional documents requested in the 2027 application portal

Applicants should verify the final document list when the new application system opens.

Research Proposal Requirements

The previous application required a two-page research proposal, excluding references, written for a technical audience.

A competitive proposal should explain:

• The research problem
• The research gap
• Why the problem matters
• Proposed methodology
• Expected technical contribution
• Expected research impact
• Connection to Bloomberg’s research interests

Avoid filling the proposal with generic AI terminology. Bloomberg’s fellowship is research-focused, so technical depth and originality matter.

Language Requirements for Bloomberg Ph.D. Fellowship 2027

Bloomberg’s latest published fellowship requirements did not specify an IELTS or TOEFL score. However, applicants must distinguish between Bloomberg’s fellowship requirements and the requirements of their university. A doctoral institution may have its own English-language requirements, and immigration authorities may have separate rules.

IELTS Requirements for Bloomberg Ph.D. Fellowship 2027

No IELTS score was specified in Bloomberg’s latest published fellowship requirements. Therefore, the fellowship itself does not currently have a published IELTS threshold. This should not be interpreted as a universal “no IELTS required” policy for every university or country.

Can You Apply for Bloomberg Fellowship Without IELTS?

Potentially, yes, because Bloomberg’s published fellowship requirements did not list IELTS as a requirement. However, international students may still need to demonstrate English proficiency to their university or satisfy other admission requirements. Some universities in countries such as Germany, Italy, Hungary, Finland, Sweden, Norway and the Netherlands may offer admission pathways using alternative English-language evidence, depending on the institution and program.

Note: Always check the specific university’s official requirements.

Is a Supervisor Required for Bloomberg Data Science Ph.D. Fellowship 2027?

Yes, an Supervisor is highly relevant.

Bloomberg’s previous application required a reference letter from the applicant’s advisor or proposed advisor.
Applicants should therefore:

• Discuss the proposed research with their PhD supervisor.
• Obtain feedback on the research question.
• Confirm that the advisor supports the proposal.
• Ask the advisor to provide the required reference.
• Give the advisor sufficient time before the deadline.

A strong recommendation should demonstrate the applicant’s research ability, technical expertise, originality and potential.

Benefits of Bloomberg Data Science Ph.D. Fellowship 2027

The Bloomberg fellowship combines financial assistance with industry research experience.

Financial Benefits

Based on the latest confirmed fellowship:

• 100% tuition coverage
• USD 45,000 fellowship grant
• Living-expense support
• Professional conference support
• Research-expense support
• Computer hardware support where applicable
• Paid 14-week summer research internship

These amounts and conditions remain subject to confirmation for 2027.

Additional Benefits

• Bloomberg research mentorship
• Career counseling
• Industry research experience
• Professional networking
• Exposure to advanced AI research
• Exposure to financial technology
• Research collaboration opportunities
• Research dissemination opportunities
• Potential open-source contributions
• International professional exposure
• Academic-industry research experience

Bloomberg Data Science Internship

The latest Bloomberg fellowship required recipients to complete a 14-week paid research internship during each year of their fellowship.

The published locations were:

• New York
• London
• Toronto

For the 2027 version, the expected internship period is Summer 2027, based on the previous fellowship schedule. The exact 2027 internship dates and location arrangements should be confirmed by Bloomberg.

Program Duration, Timeline and Selection Process

The latest Bloomberg fellowship could be renewed annually for up to three years at Bloomberg’s discretion.
For the 2027-2028 version, the expected timeline is:

• Application period: Expected late 2026
• Application deadline: December 14, 2026 – Expected
• Award notification: February 9, 2027 – Expected
• Summer research internship: Summer 2027 – Expected
• Academic-year kickoff: Fall 2027 – Expected
• Fellowship academic year: 2027-2028 – Expected
• Potential second year: 2028-2029
• Potential third year: 2029-2030

These dates follow the exact month/day pattern of the latest confirmed cycle but are not official Bloomberg dates yet.

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Step-by-Step Bloomberg Data Science Fellowship Application Process

• Monitor Bloomberg’s official fellowship page.
• Wait for the 2027-2028 application announcement.
• Review the official eligibility requirements.
• Confirm your doctoral enrollment status.
• Check your expected PhD graduation date.
• Compare your research with Bloomberg’s current research topics.
• Discuss your proposal with your supervisor.
• Develop a focused research question.
• Prepare your two-page technical proposal.
• Format the proposal according to Bloomberg’s instructions.
• Prepare your CV.
• Select appropriate referees.
• Request recommendation letters early.
• Enter referee information in the application system.
• Complete all required application fields.
• Upload all required documents.
• Confirm that reference letters have been submitted.
• Submit before the expected deadline.
• Save your application confirmation.

Bloomberg Data Science Ph.D. Fellowship Deadline and Important Dates

For the 2027-2028 fellowship, the expected dates are:

• Application Deadline: December 14, 2026, at 11:59 PM AoE – Expected
• Reference Letter Deadline: December 14, 2026, at 11:59 PM AoE – Expected
• Award Notification: February 9, 2027 – Expected
• Summer Research Internship: Summer 2027 – Expected
• Academic-Year Kickoff: Fall 2027 – Expected
• Fellowship Academic Year: 2027-2028 – Expected

The previous official cycle used December 14, 2025, at 11:59 PM AoE as the application deadline and February 9, 2026 as the award notification date. The 2027 dates above are therefore projected by shifting those dates forward exactly one year.

Bloomberg Data Science Ph.D. Fellowship 2027 Application Timeline

Important: Every 2027 date in this table is an expected date based on the previous Bloomberg cycle. Bloomberg has not officially confirmed these dates.

Participating Universities and Host Institutions for Bloomberg Data Science Ph.D. Fellowship 2027

The Bloomberg Data Science Ph.D. Fellowship does not publish a permanent or fixed list of participating universities. Students apply as individual doctoral researchers, and the fellowship supports eligible PhD candidates at their universities. However, publicly available records from previous Bloomberg fellowship cohorts show that recipients have studied or conducted their PhD research at a wide range of leading universities and research institutions.

The following universities have publicly documented Bloomberg Data Science Ph.D. Fellowship recipients or Bloomberg-supported PhD researchers in previous cohorts:

• University of Washington – Paul G. Allen School of Computer Science & Engineering
• Princeton University – Department of Computer Science
• Bar-Ilan University
• University of Notre Dame – Department of Computer Science & Engineering
• University of California, Los Angeles (UCLA) – Computer Science
• University of California, San Diego (UC San Diego) – Halıcıoğlu Data Science Institute
• University of Virginia – Electrical and Computer Engineering
• University College London (UCL) – Statistical Science
• Northwestern University
• University of Chicago
• University of Maryland
• University of Hong Kong – researchers who previously received the Bloomberg fellowship

These examples are based on publicly available records and should not be interpreted as an official list of participating universities or an indication that these universities receive a reserved number of Bloomberg fellowships. Bloomberg selects individual PhD researchers based on the fellowship’s eligibility criteria and research priorities.

Examples of Previous Bloomberg Fellows and Their Universities

The evidence is particularly strong for several of these institutions. For example, the University of Washington documented Suchin Gururangan as a 2022-2023 Bloomberg fellow, while a public announcement of that cohort identified Gururangan, Mengzhou Xia of Princeton, Shauli Ravfogel of Bar-Ilan University and Wenhao Yu of Notre Dame.
UCLA separately documented Pan Lu as a Bloomberg Data Science Ph.D. Fellow, and UC San Diego reported that Shibo Hao received the fellowship for 2024–2025.
Public academic profiles also document Bloomberg fellowship support for Chengshuai Shi during his PhD at the University of Virginia and Matías Altamirano Montero at UCL.

Does Your University Need to Be on a Participating University List?

• No fixed participating-university list is required.

The important point is whether you personally meet Bloomberg’s eligibility requirements and whether your doctoral research fits the fellowship’s research priorities.

Therefore, students at universities that do not appear in the examples above should not assume they are ineligible.

For the 2027-2028 fellowship, applicants should focus on:

• Full-time PhD enrollment
• Expected graduation within the applicable eligibility window
• Strong research background
• Relevant data science, AI or machine learning research
• A high-quality technical research proposal
• Appropriate advisor or proposed-advisor support
• Ability to complete the required Bloomberg internship
• Appropriate work authorization where required

Bloomberg’s current official fellowship page does not state that applicants must attend a university from a predetermined participating-university list.

Which Universities Have Produced Bloomberg Fellows?

Based on publicly available previous-cohort evidence, Bloomberg fellows have come from institutions including University of Washington, Princeton University, Bar-Ilan University, University of Notre Dame, UCLA, UC San Diego, University of Virginia and UCL, demonstrating that the fellowship has supported researchers across different universities and countries.

What is the Bloomberg fellowship acceptance rate?
Bloomberg does not publish an official acceptance rate, so no verified 2027 percentage is available.

Why Apply for Bloomberg Fellowship?

• 100% tuition funding was offered in the latest confirmed cycle.
• The latest confirmed fellowship included a USD 45,000 grant.
• Fellows receive industry research experience.
• Bloomberg provides research mentorship.
• Fellows complete a paid research internship.
• The program supports conference participation.
• Research expenses can be supported.
• The fellowship focuses on advanced AI and data science.
• Researchers gain exposure to financial technology.
• Fellows can build professional networks.
• The program supports research dissemination.
• The opportunity can strengthen both academic and industry research profiles.

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Common Mistakes to Avoid When Applying

• Treating the expected December 14, 2026 deadline as officially confirmed.
• Assuming the USD 45,000 grant is guaranteed for 2027.
• Copying an old research proposal.
• Writing a generic AI proposal.
• Ignoring Bloomberg’s research priorities.
• Exceeding the proposal length if the previous limit remains.
• Ignoring Bloomberg’s formatting requirements.
• Waiting until the deadline to contact referees.
• Forgetting to confirm reference submissions.
• Ignoring the full-time PhD requirement.
• Assuming Bloomberg provides U.S. visa sponsorship.
• Ignoring internship work authorization.
• Assuming three years of funding are automatic.
• Submitting incomplete documents.
• Failing to check the official Bloomberg announcement before submission.

Is a supervisor required for the Bloomberg PhD fellowship?
The previous application required a reference letter from the applicant’s advisor or proposed advisor, making an academic supervisor highly relevant.

Bloomberg Fellowship Salary and Compensation

The Bloomberg fellowship is not simply a conventional PhD salary.
The latest confirmed package included:

• 100% tuition coverage
• USD 45,000 fellowship grant
• Paid 14-week research internship

Bloomberg did not publish a standard internship salary figure on the fellowship page. Therefore, the USD 45,000 fellowship grant should not be described as an annual internship salary. The 2027 compensation structure remains subject to official confirmation.

Bloomberg Data Science Ph.D. Fellowship 2027 Acceptance Rate

Bloomberg does not publish an official acceptance rate for this fellowship.

Therefore, there is no verified 2027 acceptance percentage.
Applicants should consider the fellowship highly competitive because it targets exceptional doctoral researchers and offers substantial financial and professional benefits.
The strongest applications are likely to demonstrate:

• Strong research ability
• Technical originality
• Clear research questions
• Strong proposal quality
• Relevant academic background
• Advisor support
• Alignment with Bloomberg research
• Potential for meaningful research contributions

Does Bloomberg Provide Accommodation for PhD Fellows?

The latest published fellowship information did not promise free accommodation.

The fellowship grant was intended in part to support living expenses. Bloomberg separately stated that it would cover expenses associated with the academic-year kickoff event. Therefore, applicants should not advertise the fellowship as including a separate guaranteed accommodation allowance unless Bloomberg confirms this for 2027.

Is the Bloomberg USD 45,000 Fellowship Grant Enough for Living Expenses?

The latest confirmed grant was USD 45,000 and could be used for living expenses, professional conferences and research expenses. Whether it is sufficient depends on the fellow’s location, housing costs, transportation, healthcare, taxes and personal expenses. Because tuition was also fully covered in the latest confirmed cycle, the package represented significant financial support for doctoral researchers.

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Apply Now to Secure Your Future in the United States, United Kingdom and Canada

The Bloomberg Data Science Ph.D. Fellowship 2027 should be on the preparation list of researchers who want to combine advanced doctoral research with industry experience in artificial intelligence, machine learning, data science and financial technology. The expected December 14, 2026 deadline gives prospective applicants a useful planning target, while the expected February 9, 2027 award notification provides a projected decision timeline based on the previous cycle. Because these dates have not yet been officially confirmed, applicants should monitor Bloomberg’s fellowship page and be ready to act when the 2027-2028 call opens. Preparing your research proposal, academic CV, supervisor recommendation, technical research portfolio and internship work authorization well in advance can position you strongly when applications begin.