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Business Analytics and Artificial Intelligence● OpenMastersOpen until filledPreview

Master of Science in Business Analytics & AI

Master data-driven decision making and artificial intelligence for modern management careers.

Best for:Best for working professionals and graduates in engineering, science, or business seeking advanced management qualifications in AI and analytics.

Hamburg University of Technology · Hamburg, Germany · R1 · First-stage researcher
More professors at Hamburg University of Technology
Artificial IntelligenceBusiness AnalyticsApplied Machine LearningBig Data TechnologiesInnovation Management
This is a masters position — not a PhD studentship.
Deadline
Until filled
rolling
Funding
—
€7.4k
Start date
Winter semester
Fixed-term
Location
Hamburg
Germany

Overview

The Master's degree programme in Business Analytics & AI at Hamburg University of Technology, conducted in cooperation with the NIT Northern Institute of Technology Management, is tailored for ambitious professionals. It combines cutting-edge theory with practical applications in machine learning, business analytics, and artificial intelligence. Students acquire advanced competencies to lead innovation, manage complex AI initiatives, and drive strategic decision-making within organisations. The curriculum is delivered entirely in English and accommodates both full-time study and working professionals.

Business AnalyticsArtificial IntelligenceMachine LearningData ScienceBig DataAI Project ManagementQuantitative Methods

What you'll do

  • Engage in complex, real-world business analytics challenges and apply data-driven problem solving methods.
  • Master programming languages and data science tools to manipulate, analyse, and visualise large datasets.
  • Manage AI projects from inception to completion, aligning technical execution with strategic business goals.
  • Evaluate sustainable AI practices, ethical implications, and data privacy regulations in corporate environments.
  • Leverage predictive analytics and causal machine learning to optimize marketing, supply chain, and financial operations.

Requirements

Degree required: Bachelor's or equivalent degree in engineering, science and technology, business engineering, business administration, or economics

Degree offered: Master of Science

Language: English; B2 required (e.g., IELTS Academic 6.5)

Instruction: English

Required skills
  • Foundational knowledge in quantitative methods, statistics, or mathematics
  • Prior academic performance demonstrating high achievement in previous degree studies
  • At least one year of professional work experience
  • Proficiency in programming or willingness to master data science tools
Nice to have
Practical background in data analysis or machine learning applicationsExperience in project management or corporate innovation initiatives
Eligibility
  • Open to outstanding international and German students meeting academic prerequisites
  • Must hold a recognised Bachelor's or equivalent degree

Funding & terms

Type
Unknown
Amount
€7.4k
Duration
4 semesters
Programme
—

Programme and admissions

Admissions not verified

A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.

Intake
Not confirmed by the source
Duration
Not confirmed by the source
Teaching language
Not confirmed by the source
Taught / research mode
Not confirmed by the source
Study mode
Not confirmed by the source
Campus
Not confirmed by the source
Prerequisites
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Application instructions
Not confirmed by the source
Tuition
Not confirmed by the source
Funding
Not confirmed by the source

How to apply

Applicants should review the detailed programme requirements and submit their application materials directly through the designated online application portal linked on the institution's website.

Documents required
  • CV
  • BSc transcripts
  • English language certificate
↗Check programme and admissions

Contact

Lab
NIT Northern Institute of Technology Management
Hamburg University of Technology
Germany
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Check admissions, intake and funding with the official source; a listing does not mean applications are open.