MSc in Business Analytics
A cutting-edge master’s programme in quantitative analysis, machine learning, and data-driven decision-making for business leaders.
Best for:Best for graduates with a quantitative background seeking to specialise in data-driven business solutions, machine learning, and advanced analytics for leadership roles.
Overview
The MSc in Business Analytics at University College Dublin is designed to equip students with expertise in advanced quantitative techniques, machine learning, and data-oriented modelling. This programme immerses learners in the latest management science, operational research, and analytics, preparing them for leadership roles in data-driven industries. It caters to graduates from quantitative disciplines like engineering, computer science, and sciences, as well as business students with a strong quantitative background. The curriculum blends mathematical, computational, and statistical tools to solve complex real-world problems, fostering innovation and strategic decision-making in business environments.
What you'll do
- Develop advanced quantitative and analytical skills to solve complex business problems.
- Apply machine learning and statistical techniques to real-world business scenarios.
- Engage in data-driven decision-making using powerful computational and mathematical tools.
- Collaborate on projects that integrate operational research and management science principles.
- Develop expertise in data-oriented modelling for strategic business applications.
- Participate in case studies and practical exercises to enhance problem-solving abilities.
Requirements
Degree required: A minimum second-class honours primary degree (or equivalent) in Engineering, Computer Science, or related sciences, OR a Business studies degree with quantitative coursework (e.g., MIS-Management Information Systems, Maths).
Degree offered: MSc in Business Analytics
Language: English proficiency; IELTS 6.5 or TOEFL 90 (unless primary degree or entire third-level qualification was completed in English in an English-speaking country).
Instruction: English
- Strong quantitative background with proficiency in mathematical and statistical methods.
- Experience with quantitative techniques relevant to business or science disciplines.
- Basic familiarity with programming or computational tools (if from a non-technical background).
- Ability to undertake the GMAT or GRE at the discretion of the Director.
- Open to domestic (EEA) and international (non-EU) applicants.
- No age restrictions.
- No prior work experience required.
- Recognition of Prior Learning (RPL) may be considered for admission or credit exemptions.
Funding & terms
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 must apply online through the UCD Graduate Admissions Portal. Submit a CV, academic transcripts, proof of English proficiency (if required), and any additional documents such as GMAT/GRE scores if requested. International applicants may need to provide additional documentation for visa purposes.
- CV
- Academic transcripts (Bachelor’s degree and any relevant prior qualifications)
- Proof of English proficiency (if applicable)
- GMAT or GRE scores (at the Director’s discretion)
- Statement of purpose or research proposal (if required)
- Passport or ID for visa processing (if applicable)
Contact
UCD Smurfit Admissions Office· Admissions Coordinator
Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.