Program description
Master in Business Analytics & Big Data
The Master in Business Analytics and Big Data positions students to tackle the biggest challenges in our data-driven era. Nail down skills in data science, business transformation, and big data technologies to turn data into a powerful driver of disruption in any company, in any industry.
Admission requirements
Freshman Students
English Proficiency Requirements
All our programs are taught fully in English therefore all candidates will have their English communication skills assessed during the admissions process.
The possession of language certificates is not mandatory, particularly if candidates have spent the last 2 years in an English speaking country or studied in an Anglophone educational system (such as American High School, IB in English or A-levels).
Language Test guidelines:
- TOEFL: minimum 90, 100 points recommended
- IELTS: minimum 7 points
- Cambridge: CAE (with marks A, B and in some cases C with a strong oral conversation) or CPE
- Duolingo English Test: minimum 115 points, 120 or higher recommended
Transfer Students
English Proficiency Requirements
All of our programs are taught in English so that you’re set to excel in the professional world. For that reason, we test every candidate’s English communication skills during the admissions process.
It isn’t mandatory to possess a language certificate, especially if you have spent the last two years in an English-speaking country, or if you’ve studied in an Anglophone educational system. That includes attending an American high school, or completing an English International Baccalaureate or A-levels.
Language test guidelines:
- TOEFL: minimum 90, 100 points recommended
- IELTS: minimum 7 points required
- Cambridge: CAE (with marks A, B and in some cases C with a strong level of oral conversation) or CPE
For more information about admission requirements for this program, please visit the university website.
Does this course require proof of English proficiency?
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Learn moreProgram content
Business Analytics Master Program Key Areas
Business Transformation
Gain a comprehensive and in-depth understanding of how organizations today collect and utilize data generated from a wide variety of sources to drive performance. Understand how companies are adopting advanced technologies to generate new and actionable insights.
Data Science
Dive into the world of data science, gaining practical knowledge in a wide range of Artificial Intelligence techniques from Machine Learning, to Deep Learning, Natural Language Processing, Computer Vision, Conversational Agents, and Robotics.
Big Data Technologies
Get a grasp on the emerging tools and technologies available to successfully tackle challenges in Big Data. Learn to design and build a Data Lake capable of handling large-scale structured and unstructured collections of data in real time by using cutting-edge technologies such as Kafka, Hadoop, Spark, and Flink, among others.
Professional Skills
Being successful in data science and analytics isn’t just about having top-notch technical expertise. Develop the professional and behavioral skills you need to have a real impact on business decisions.
Scholarships & funding
Several scholarship options are available. Please check the university website for more information.
Program delivery
The program is divided into 3 terms that combine subjects from 4 key areas of knowledge and skills needed for professionals in data science and analytics. The 10-month course, with intake options in October as well as April, is an immersive experienceforinnovative minds from all over the world.
Tuition fees
The tuition fees for this program are 35,200€ per year
About this institute
IE University
We can transform the world through our passion for education, research and innovation. Join us on the fascinating adventure! At IE University we specialize in training future-forward leaders with a global vision, entrepreneurial mindset and human-centered approach to driving innovation....
