MSc in Business Analytics and AI for Management
12 monthsProgramme duration
24,600 EURTuition Fee/year
31 Jul, 2027Application Deadline
SepStarting Month
Programme overview
Main Subject
Business Analytics
Degree
MSc
Study Level
Masters
Study Mode
On Campus
The MSc in Business Analytics and AI for Management is designed for students with strong quantitative and analytical abilities who want to solve real-world business challenges using data and artificial intelligence.
This semi-technical programme combines technical capability, business acumen and advanced problem-solving. Students develop practical skills in business analytics, programming, data management, machine learning, generative AI and AI deployment, using tools such as R, SQL and Python. No prior coding experience is required.
Alongside these technical skills, students explore how analytics and AI can support managerial decision-making, improve organisational performance and enable new business models. The programme also examines the ethical, sustainable and strategic implications of applying AI in business, preparing students to use these technologies responsibly and effectively.
Graduates are equipped with in-demand expertise at the intersection of data science, business strategy and AI, opening pathways to careers in business analysis, data analytics, data science, consulting, financial analysis, marketing analytics and AI-focused roles across a wide range of industries.
Programme overview
Main Subject
Business Analytics
Degree
MSc
Study Level
Masters
Study Mode
On Campus
The MSc in Business Analytics and AI for Management is designed for students with strong quantitative and analytical abilities who want to solve real-world business challenges using data and artificial intelligence.
This semi-technical programme combines technical capability, business acumen and advanced problem-solving. Students develop practical skills in business analytics, programming, data management, machine learning, generative AI and AI deployment, using tools such as R, SQL and Python. No prior coding experience is required.
Alongside these technical skills, students explore how analytics and AI can support managerial decision-making, improve organisational performance and enable new business models. The programme also examines the ethical, sustainable and strategic implications of applying AI in business, preparing students to use these technologies responsibly and effectively.
Graduates are equipped with in-demand expertise at the intersection of data science, business strategy and AI, opening pathways to careers in business analysis, data analytics, data science, consulting, financial analysis, marketing analytics and AI-focused roles across a wide range of industries.
Admission Requirements
Applicants whose first language is not English and were not educated in the language will also need to complete an English competency exam (in line with Trinity's postgraduate English language requirements).
- Candidates are required to submit references or letter(s) of recommendation for acceptance
Tuition fees
Domestic
International
Scholarships
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