A structured and a comprehensive approach to building an AI strategy in your organization
16 MONTHS | ONLINE + CAMPUS | EMPLOYABILITY FOCUS
〉 The development of job-ready skills, as identified by data science experts
〉 The best digital content and an extensive e-library with interactive live workshops
〉 A personal mentor working in the field of data science
〉 Introductions to partner employers in the Amsterdam commercial area
WHY DATA SCIENCE?
Dubbed the hottest job of the 21st century, data scientists are some of the most wanted professionals in today’s labor market. According to Glassdoor, data science is the number one job considering demand, salary, and job satisfaction. In Amsterdam, the average entry-level data scientist salary is 47,422 EUR
ELU helps you prepare for the world’s hottest job by developing your technical and interpersonal skills and connecting you with employers in the Amsterdam metropolitan area.
Total duration of master programme is 16 months.
February, April, June, November
Average course load is 12-20 hours per week.
Instalments: You pay while you study.
Upfront:You can pay the tuition fee as a whole. For more information please reach out to our Admissions Consultant at email@example.com
EQUIP YOURSELF WITH THE RIGHT SKILLS
ARE YOU READY TO CHOOSE YOUR FUTURE?
LAUNCHPAD: EMBARKING ON DATA SCIENCE
Engage with each other and the programme, and explore the data science domain and essential data science competencies in this module. Discover your learning preferences and practice how to work with your action learning group. Acquaint yourself with the learning tools & resources and learn how to build your professional e-portfolio to showcase your skills in data science for prospective employers.
25 HOURS / 1 ECTS
MASTERING THE BASICS IN DATA SCIENCE
Master the basics of data analysis with Python – the most powerful programming language used by data scientists. This module gives you a practical start with data visualisation and Python essentials such as functions, iterators and lists.
90 HOURS / 3.5 ECTS
GETTING SERIOUS WITH DATA
Learn how to get the data you need for your data science project from different sources like Excel files or the Web through APIs, and prepare your data for better analysis. Get serious by exploring your data more deeply and discover new insights.
115 HOURS / 4.5 ECTS
UNDERSTANDING DATAFRAMES AND MANIPULATING DATA
Advance your skills in data analysis and data manipulation in pandas – the most widely used Python library for data science and learn how to interact with relational databases and build your own in this module.
77 HOURS / 3 ECTS
Join the 2-day data science hackathon in Amsterdam, build a project with your team and get the chance to network.
DATA VISUALISATION AND STATISTICS
Become a master at communicating your insights by creating interactive data visualisations and hone your hacker statistics toolbox by performing statistical inferences, constructing and testing your hypotheses.
130 HOURS / 5 ECTS
ADVANCED TECHNIQUES IN DATA SCIENCE
Learn how to utilize advanced techniques in data science to not only build & tune predictive and deep learning models but also make sense of networks by using real world network data.
116 HOURS / 4.5 ECTS
BEING AN AGILE LEADER AND DEVELOPING RESEARCH COMPETENCE
Develop your leadership skills in data science focusing on three key areas in leadership: Self-Leadership, Agile Fundamentals, Agile Leadership and Leadership 3.0.
This module also aims to provide you with sufficient knowledge of a range of methods within an action research framework to enable you to design and plan a work-based final project focused on advancing individual professional practice and making a contribution to your organisation.
390 HOURS / 15 ECTS
ARE YOU READY TO CHOOSE YOUR FUTURE?
APPLY NOW FOR MASTER OF DATA SCIENCE PROGRAMME
– An undergraduate degree in Computer Science or a related field
– Knowledge of programming (Python preferred) and statistics
– Professional experience in the field of IT/tech incl. software development, engineering, consultancy,
If you are unsure whether you meet the prerequisites for the course, please write us at firstname.lastname@example.org