United Business Institute

15 Programs 2 Degree levels
Masters

Master in Management of AI & Machine Learning

DegreeMasters
FieldArtificial Intelligence

A professionally oriented master's that trains managers to plan, develop and deploy AI and machine‑learning capabilities within organisations. It suits technically aware professionals and mid‑career managers who want to lead digital transformation, build AI‑enabled products or found tech ventures.

What you'll study

The curriculum is organised in three phases combining management fundamentals, technical specialisation and a final integrative project.

  • Phase 1 (core) — Ethics, responsibility and sustainability; professional competencies for future work; wellbeing and effective use of transformative technologies; business strategy; Python applied to business; data visualisation and storytelling; business analytics.
  • Phase 2 (specialist) — AI in business; database management; neural networks and deep learning applied to business.
  • Phase 3 (final integrator) — choose one of: a business or consultancy plan for a new or existing company; an applied research project on AI adoption in firms; or participation in the Venture Creation Lab to build and pilot a tech startup.

Duration is flexible (programme listed as 1 or 2 years, with minimum phase lengths noted: Phase 1 minimum ~3 months, Phase 2 between ~6–12 months, final project minimum ~3–7 months). The course integrates intensive use of generative AI tools and access to software such as Azure and Power BI, and prepares students for Microsoft Azure Data Fundamentals and Azure AI Fundamentals certifications.

Entry requirements

The course page lists admission requirements but does not provide detailed criteria; applicants should consult the school directly for specific academic and professional prerequisites and enrolment steps.

Career prospects

The programme is positioned for professionals aiming to lead digital transformation where AI is central to business models, or to launch technology ventures. It emphasises industry engagement through workshops and company collaborations, entrepreneurial training via the Venture Creation Lab and networking opportunities to support professional growth.

Scholarships & funding angle (general)

No specific scholarships are listed on the source text; prospective applicants should contact the school about scholarships, employer sponsorship, instalment plans or other funding options and ask about any merit or industry‑partner support tied to the programme.

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Programme details are indicative and may change — always verify current information with the official university website before applying.