IE Business School
Master in Business Analytics and Big Data
| School: | IE Business School |
| Faculty: | Business School |
| Degree: | Master |
| Field of Study: | Business Statistics
Data Processing and Data Processing Technology/Technician
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| Description: | The rise of data to become business’s most powerful and critical tool is providing opportunities in every conceivable sector for ambitious professionals with the right skills and mindset. Every company has to harness and leverage big data if they’re not to be left at a serious competitive disadvantage.
The Master in Business Analytics & Big Data has been redesigned and updated to provide the holistic skill set in data science, business transformation and big data that the new roles emerging in the field will demand. A deep understanding of the challenges and opportunities that business will face in a constantly evolving data landscape will allow you to design and steer corporate strategy and lay down a technology roadmap for your organization. This full- or part-time program offers you the opportunity to future-proof your career, putting you front and center for the most in-demand jobs of tomorrow, in a format that suits your lifestyle today.
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| URL: | Master in Business Analytics and Big Data at IE Business School |
| Course Based: | Yes |
| Length: | 11 Month(s) |
| Careers: | Market Research Analysts | |
| Prerequisites:* | These courses are intended as guidelines. Speak to your guidance counsellor to see what courses are offered at your school.
Bachelor degree from an accredited university |
| Test Scores: | - Graduate Management Admission Test or Graduate Record Examination
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| Additional Admission Requirements: | - Letter(s) of Reference
- Resume/Curriculum Vitae
For information on admission requirements, please visit our website. |
* We make every attempt to provide accurate information on prerequisites, programs, and tuition. However, this information is subject to change without notice and we highly recommend that you contact the school to confirm important information before applying.