Applying a hands-on approach, this program gives students a comprehensive foundation in data science, using industry-leading software, tools and applications. Students will gain practical experience with advanced web-based applications and toolsets, understand how to use data as a strategic resource and learn how to apply data management skills to a business setting in order to effectively implement data-driven solutions.
Prospective students are evaluated on the strength of their applications as a whole. Consideration is given to the student’s qualities and abilities: leadership potential, academic achievements, performance on standardized tests, extracurricular activities and personal experiences. EU's Admissions Services department will assist all applicants throughout the entire application process.
The Master in Business Analytics & Data Science (60 ECTS) is a one-year program, divided into three terms. Each term comprises four courses (4 ECTS each) and one seminar (2 ECTS). Throughout the year, students will also participate in real-life case studies and business simulations. In order to graduate, participants must also complete a business plan (6 ECTS).
TERM 1 (13 CH | 18 ECTS)
Introduction to Big Data & Data Science
The Data Science Toolkit
The Big Data Toolkit
Data Security & Privacy
Masterclass I
TERM 2 (13 CH | 18 ECTS)
Machine Learning
Deep Learning & AI
Data Visualization & Communication
Data Visualization Lab
Masterclass II
TERM 3 (13 CH | 18 ECTS)
Business Intelligence
Management Information Systems & ERP
Business Analytics
Data-Driven Management
Masterclass III
Admission Requirements:*
1 certified copy of bachelor's degree and transcripts
Proof of English level: TOEFL score 89 (internet-based), 233 (computer-based); IELTS 6.5; CAE C1 with a minimum score of 176; PTE score 59; English native or equivalent
Applicants must also meet one of the following:
A GPA of 3.0 on a 4.0 scale
A satisfactory score on the GMAT or GRE
An interview with the academic dean
* Students who do not meet the criteria will have an interview with the admission committee and will be considered on a merit basis. For more information, please contact the admissions department of your chosen campus.
Información Adicional
This program uses a hands-on, experiential methodology to give students practical skills and knowledge of industry-leading software, tools and applications as well as a comprehensive understanding of key topics from big data to machine learning and AI.
START DATES
October, January & March
Total per year
€14,250
