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MASTER OF

DATA SCIENCE


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

PROGRAM OVERVIEW

AT ELU, YOU GRADUATE WITH TWO PROFESSIONAL CERTIFICATION AND A MASTER DIPLOMA
DATA SCIENCE CERTIFICATE

Month 1 - 7 | Online

LEADERSHIP CERTIFICATE

Month 8 - 11 | Online + Amsterdam

FINAL PROJECT + MASTER DIPLOMA

Month 12 - 16 | Talentship/Practicum - Global

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.

Enrolment Dates

November 2019

May 2020

Total duration of the Master Programme is 16 months. You should commit 12-20 hours per week to your learning.

Tuition Fee

9000 Euros

Payment options

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
info@elu.nl

EQUIP YOURSELF WITH THE RIGHT SKILLS

PYTHON PROGRAMMER
PYTHON PROGRAMMER

Use Python to manipulate, analyze and visualize data

DATA COLLECTOR
DATA COLLECTOR

Import data from various different sources

DATA MANIPULATOR
DATA MANIPULATOR

Convert raw data into a form ready for analysis. Tidy and clean data for analysis. Implement data manipulation techniques prior to analysis.

COMMUNICATOR
COMMUNICATOR

Explore large sets of data. Communicate and present visually critical data-driven findings and insights.

DATA ANALYZER
DATA ANALYZER

Apply statistical method to infer meaning from data and test hypotheses. Find the relationships in the data.

MODEL BUILDER
MODEL BUILDER

Build predictive models based on structured and unstructured data. Determine the right approach to solve problems. Compare models for accuracy and efficiency to find an optimal solution.

CURRICULUM

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

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

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

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.

 

NO CREDIT

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

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

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
01

Online application form

This quick form will help us understand whether you meet the basic requirements

02

Analytical test and Motivation

If your profile is shortlisted, you are invited to an online analytical test and asked to submit a statement of motivation.

03

Selection and Enrolment

Upon enrolment we will ask for a copy of your undergraduate diploma and transcript, as well as proof of English proficiency.

Prerequisites:
– 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 info@elu.nl

MEET YOUR FACULTY

NIDHI KUMRA

NIDHI KUMRA

DATA SCIENTIST / ELU COURSE FACILITATOR
BRANKO KOVAC

BRANKO KOVAC

DATA SCIENTIST / ELU COURSE MENTOR
IOANNIS K. BREIER

IOANNIS K. BREIER

DATA SCIENTIST / ELU COURSE MENTOR
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  • Address

    SCIENCE PARK 408 1098 XH AMSTERDAM

  • EMAIL

    INFO@ELU.NL

  • Phone

    +31-20-369-0734