PhD Monitor
/Detail
Business, Management, Innovation, and HR● OpenMastersPreview

Master of Artificial Intelligence in Business

A 2-year interdisciplinary program blending AI fundamentals with business strategy to bridge technology and commerce.

Best for:Best for graduates with a quantitative background seeking to specialize in AI-driven business solutions and bridge the gap between technology and commerce.

SP Jain School of Global Management · Sydney Olympic Park, Australia
More professors at SP Jain School of Global Management
AI in business applicationsBusiness analytics and AI integrationAI-driven decision-makingQuantitative methods in businessTechnology and business strategy
This is a masters position — not a PhD studentship.
Deadline
—
Funding
—
2 years
Start date
unknown
Full-time
Location
Sydney Olympic Park
Australia

Overview

The Master of Artificial Intelligence in Business (MAIB) is a 2-year full-time programme at SP Jain School of Global Management, designed to cultivate experts who can seamlessly integrate AI technology with business needs. This interdisciplinary curriculum covers AI principles, business subjects like economics, finance, and marketing, and applies theoretical knowledge through real-world projects in sectors such as retail, manufacturing, and finance. The programme addresses a critical global demand for professionals who can translate business requirements into technical AI solutions, preparing graduates to lead in AI-driven industries. Ideal for those with a quantitative background, it emphasizes hands-on learning and practical problem-solving in diverse business contexts.

AI in businessBusiness analyticsAI-driven decision-makingQuantitative disciplinesInterdisciplinary AI educationBusiness strategy with AIProject-based learning in AIRetail and manufacturing AI applications

What you'll do

  • Study AI foundations, principles, and techniques through a structured curriculum.
  • Engage in business subjects such as economics, accounting, finance, and marketing.
  • Apply AI knowledge to solve practical business problems through hands-on projects.
  • Develop the ability to translate business requirements into technical AI specifications.
  • Collaborate on interdisciplinary projects across various business sectors like retail, manufacturing, and finance.
  • Develop skills in AI-driven decision-making and strategic business planning.

Requirements

Degree required: Undergraduate degree from a recognized university with satisfactory completion of at least four units in Mathematics, Computer Science, Economics, Engineering, Science, or another quantitative discipline.

Language: English proficiency (not explicitly stated but implied for academic programme)

Instruction: English

Required skills
  • Strong quantitative background in Mathematics, Computer Science, Economics, Engineering, or Science.
  • Ability to apply theoretical knowledge to practical business problems.
  • Interdisciplinary problem-solving skills.
  • Basic understanding of business principles and strategies.
Nice to have
Prior exposure to AI technologies or business analytics.Experience with data analysis or programming languages like Python.
Eligibility
  • Applicants must hold an undergraduate degree from a recognized institution.
  • Completion of at least four units in a quantitative discipline is mandatory.

Funding & terms

Type
Unknown
Amount
—
Duration
2 years
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
Not confirmed by the source
Application instructions
Not confirmed by the source
Tuition
Not confirmed by the source
Funding
Not confirmed by the source

How to apply

Deadline: unknown

Applicants should visit the official programme page to access the application portal and follow the instructions for submitting required documents. The process typically involves filling out an application form and uploading necessary academic transcripts and other supporting materials.

Documents required
  • Undergraduate degree certificate and transcripts
  • Proof of completion of at least four units in a quantitative discipline
  • CV or resume
  • Statement of purpose or personal statement
  • Letters of recommendation (if required)
↗Check programme and admissions

Contact

See the full position

Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.

No card · 10 free AI match scores
Explore this programme
Check admissions, intake and funding with the official source; a listing does not mean applications are open.