PhD Candidate in Data and Decision Sciences
Join BI Norwegian Business School for a fully funded PhD in interdisciplinary data science and business analytics.
Best for:Best for quantitative researchers with a master’s in statistics, computer science, operations research, or related fields, seeking interdisciplinary PhD training in data-driven business analytics.
Overview
BI Norwegian Business School invites applications for doctoral scholarships in Data and Decision Sciences, affiliated with its Department of Data Science and Analytics. This four-year program combines rigorous academic training with applied research in machine learning, operations research, and business analytics. Candidates will work closely with leading faculty, participate in international research seminars, and contribute to cutting-edge projects within the AMOR Center and SURE-AI. The position is based at BI’s Oslo campus, starting in August 2027, with a competitive stipend and 25% teaching obligation. Ideal applicants should have a strong quantitative background and a passion for research at the intersection of data science and business decision-making.
What you'll do
- Complete a four-year PhD program with rigorous coursework in data science, machine learning, and business analytics during the first year.
- Develop and publish a doctoral dissertation consisting of three research articles under faculty supervision.
- Collaborate with industry and public sector partners through the AMOR Center and SURE-AI on applied research projects.
- Present research findings at weekly departmental seminars and international conferences.
- Participate in teaching activities (25% obligation) to support academic training and mentorship.
- Engage in interdisciplinary workshops and networking events with leading researchers in Norway and abroad.
- Contribute to the development of sustainable, risk-averse, and ethical AI solutions within SURE-AI’s framework.
Requirements
Degree required: Master of Science degree with thesis work, Research Master/M.Phil degree, or equivalent in statistics, operations research, machine learning, computer science, finance, economics, or mathematics (MBA degrees are not eligible).
Degree offered: PhD
Language: English; TOEFL (90+ internet-based) or IELTS (6.5+) required unless exempt (native speaker, 2+ years of English-taught higher education, or EU/EEA member with English as first foreign language).
Instruction: English
- Strong quantitative and analytical skills with a background in statistics, operations research, or machine learning.
- Proficiency in programming (e.g., Python, R, or similar) for data analysis and modeling.
- Ability to conduct independent research and publish findings in academic venues.
- Excellent written and verbal communication skills in English for academic and professional contexts.
- Experience with data-driven decision-making or business analytics projects.
- Applicants must have completed or be completing a master’s degree by early autumn 2027 with a grade point average of B or higher.
- EU/EEA applicants are strongly encouraged to submit GRE/GMAT scores; non-EU/EEA applicants are required to submit these scores.
- No age or nationality restrictions, but preference may be given to female applicants if qualifications are equal.
Funding & terms
How to apply
Applications must be submitted electronically via the 'Send Application' button on the BI portal. E-mail or paper submissions are not accepted. All documents must be uploaded by the deadline. Candidates completing their master’s in 2027 may apply without a final certificate but must submit it later. Applications cannot be revised after submission.
- CV/resume with a complete list of research work, publications, and academic activities
- Two letters of recommendation (academic or professional, emphasizing research potential)
- Statement of purpose (≤1000 words) outlining research plans, motivation, and career objectives
- One selected academic work (e.g., master’s thesis or research paper)
- Certificate of Master of Science degree or equivalent, including transcript of grades
- Certificate of bachelor’s degree or equivalent, including transcript of grades
- Diploma supplement or similar document describing study and grade systems
- GMAT/GRE and TOEFL/IELTS scores (if not sent directly by test centers)
- Signed verification document for international transcripts
Contact
Doctoral Administration· PhD Admissions
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