MSc in Business Analytics
Equip yourself with advanced analytical and business skills to drive data-driven decision-making in corporate environments.
Best for:Best for professionals and graduates with a background in Business, IT, Science, or Engineering seeking to specialize in data-driven decision-making and analytics.
Overview
The MSc in Business Analytics at Technological University of Shannon (TUS) is designed to equip students with a strong portfolio of business and analytical skills. This programme focuses on solving complex business problems and supporting decision-making through data-driven approaches. Students will engage in hands-on learning, applying analytical techniques to real-world business scenarios. The curriculum blends theoretical knowledge with practical applications, preparing graduates for roles in analytics, consulting, and strategic management. The programme is ideal for those seeking to transition into data-driven careers or advance their existing expertise in business, IT, science, or engineering.
What you'll do
- Develop and apply advanced analytical techniques to solve complex business problems.
- Analyze large datasets to support evidence-based decision-making in corporate environments.
- Develop skills in data visualization and communication of analytical findings to stakeholders.
- Engage in hands-on projects that integrate business knowledge with technical analytical skills.
- Collaborate on case studies and real-world business scenarios to enhance problem-solving abilities.
- Utilize software tools and methodologies to extract insights from business data.
Requirements
Degree required: Honours Bachelor Degree (Level 8) with a minimum of a 2.2 classification in Business, IT, Science, or Engineering
Degree offered: MSc in Business Analytics
Language: English proficiency; Non-EU nationals must provide evidence of ability to follow classes in English (IELTS 6.5 or equivalent)
Instruction: English
- Proven analytical and problem-solving skills
- Basic proficiency in data analysis tools and techniques
- Strong academic background in Business, IT, Science, or Engineering
- Ability to work with large datasets and derive meaningful insights
- Open to both EU and Non-EU nationals
- No age restrictions mentioned
- Applicants may be required to attend an interview (in-person or via Zoom)
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
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- Teaching language
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- Taught / research mode
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- Study mode
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- Campus
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- Prerequisites
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- Application instructions
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- Tuition
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- Funding
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How to apply
Applicants should visit the TUS website to access the application portal. The process involves submitting academic transcripts, proof of English proficiency (if applicable), and any other required documents. Applicants may be required to attend an interview, either in-person or via Zoom.
- CV or resume
- Academic transcripts (Bachelor's degree)
- Proof of English proficiency (IELTS 6.5 or equivalent, if applicable)
- Statement of purpose or personal statement
Contact
Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.