MSc AI in Business
The MSc AI in Business programme is a full-time postgraduate course aimed at students with any undergraduate degree background. The curriculum covers essential areas of AI, including machine learning, data science and analytics, generative AI, design thinking, and ethical considerations, alongside business-oriented modules focused on strategy, innovation, and decision-making. This programme will prepare students to apply AI-driven solutions to challenging business problems, making them valuable in a wide range of industries where AI is transforming strategic approaches and enabling new business insights.
Designed with a focus on real-world application, the MSc AI in Business programme incorporates case studies and applied projects to address current challenges in AI and business integration. Through these projects, students gain practical experience and build competencies that are highly relevant in a data-driven economy.
As AI increasingly augments tasks rather than replaces jobs, this applied focus supports students’ professional development and prepares them for the growing need for a ‘future-ready’ workforce. The programme equips graduates with in-demand AI skills that improve productivity and career prospects, catering to the rising demand for AI capabilities in both tech and non-tech roles.
In addition to technical skills, the curriculum emphasises skills such as strategic decision-making, problem-solving, and innovation, which are critical for navigating AI-driven business landscapes. Graduates of the programme will be well-positioned for roles such as Business Transformation Consultant, Customer Insights Specialist, Strategic Innovation Advisor, and Business Intelligence Analyst, where they can leverage AI to drive business efficiency, customer engagement, and strategic growth.
Intakes
- Sep
Application Processing Time in Days: 10
Minimum English Language Requirements
| English Level Description | IELTS (1.0 -9.0) | TOEFL IBT (0-120) | TOEFL CBT (0-300) | PTE (10-90) | |
|---|---|---|---|---|---|
| Expert | 9 | 120 | 297-300 | 86-90 | |
| Very Good | 8.5 | 115-119 | 280-293 | 83-86 | |
| Very Good | 8 | 110-114 | 270-280 | 79-83 | |
| Good | 7.5 | 102-109 | 253-267 | 73-79 | |
| Good | 7 | 94-101 | 240-253 | 65-73 | |
| Competent | 6.5 | 79-93 | 213-233 | 58-65 | |
| Competent | 6 | 60-78 | 170-210 | 50-58 | |
| Modest | 5.5 | 46-59 | 133-210 | 43-50 | |
| Modest | 5 | 35-45 | 107-133 | 36-43 | |
| Limited | 4 | 32-34 | 97-103 | 30-36 | |
| Extremely Limited | < 4 | < 31 | < 93 | < 30 |
Job Opportunity Potential
Employability
The programme provides a wide range of opportunities for graduates to work in roles such as Business Transformation Consultant, Strategic Innovation Advisor, Customer Insights Specialist, and Business Intelligence Analyst, among others. With skills in AI-driven solutions, strategic decision-making, and ethical AI applications, graduates will excel in diverse industries, driving innovation, efficiency, and growth in an AI-powered business environment.
Graduate Outcomes
The MSc AI in Business programme uniquely combines advanced AI expertise with strategic business applications, preparing graduates for in-demand roles such as Business Transformation Consultant, Customer Insights Specialist, and Strategic Innovation Advisor in a rapidly evolving, AI-driven economy.
Example Career Paths
- Business Intelligence Analyst
- Business Transformation Consultant
- Customer Insights Specialist
- Strategic Innovation Advisor
- Research Associate
Admission Requirement / Eligibility Criteria
- Normally a Bachelor degree awarded by a recognised Indian institution with a final average of 53%-55% or above (comparable to UK 2.2 Honours degree standard), or equivalent qualification acceptable to the University; in any discipline to include one module in a quantitative* area or a quantitative dissertation.
Relevant employment experience in a quantitative area may be considered in lieu of a module in a quantitative area and will be considered on a case-by-case basis.
*This could be a course or module in a broad range of quantitative areas such as Finance, Mathematics, Statistics, Economics, Accounting, Engineering or Physics. Equivalent content from across multiple modules will also be considered.
English Language Requirements
- Evidence of an IELTS score of 6.0, with not less than 5.5 in any component, or an equivalent qualification. Taken within the last 2 years.
- English in the Indian Standard XII may be accepted (CBSE/CICSE/Karnataka/Maharashtra/Tamil Nadu/West Bengal boards) with a score of 70% taken within 7 years of the expected course start date.
An official Digilocker verification document will be required. Please provide your Admit Card ID number to the University.
If you have completed a degree that was taught and assessed in English within the two years prior to your first enrolment at Queen’s University Belfast – GIFT City Campus, the University may be able to accept this as evidence of your English language proficiency.
For More Information Please Contact To Our PSA Counselor.
- Course Type: Full Time
- Course Level: Masters/PG Degree
- Duration: 01 Year
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Total Tuition Fee:
1836900 INR
Average Cost of Living: 500000 INR /year
Application Fee: N/A