Data Science - European Leadership University
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MASTER OF

DATA SCIENCE

18 Months | Online | 60 ECTS Credits

Earn a data science masters degree (60 ECTS) with:

  • Live interactive workshops to facilitate learning
  • Individual and group support through peer-reviews, action learning sets
  • Mentoring from industry professionals
  • Extensive digital library with interactive content
  • Talent Accelerator Programme to get you job-ready

PROGRAMME OVERVIEW

With us, you graduate with two professional certifications and a master degree

DATA SCIENCE CERTIFICATE

Month 1 - 9 | Online

LEADERSHIP CERTIFICATE

Month 10 - 14 | Online

MASTER'S DEGREE (60 ECTS)

Month 15 - 18 | Project/Practicum - Online

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

We help 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

Total duration of the Master Programme is 18 months. 

PROGRAMME FEE

9000 EURO

Installments and Flexible Payment Plan available.

PAYMENT OPTIONS

  • Installments: Pay while you study.
  • Early Bird: Pay upfront and receive a 10% discount on your tuition.
  • Flexible Plan: Pay a monthly membership fee over a period of up to 5 years.
  • No application fee. Pay the 250 Euro nonrefundable registration fee only when you are accepted and are ready to book your seat.

EQUIP YOURSELF WITH THE RIGHT SKILLS

PYTHON PROGRAMMER

Use Python to manipulate, analyze and visualize data.

MODEL BUILDER

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

DATA COLLECTOR

Import data from various different sources.

DATA MANIPULATOR

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

COMMUNICATOR

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

DATA ANALYZER

Apply statistical method to infer meaning from data and test hypotheses.

ARE YOU READY TO CHOOSE YOUR FUTURE?

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

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, One-to-one leadership, team leadership and organisational leadership.

 

390 HOURS / 15 ECTS

TAUGHT BY A FACULTY TEAM OF PRACTITIONERS AND ACADEMICS

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

Video Interview

If your profile is shortlisted, you are invited to an online video interview to substantiate your motivation for the programme.

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 and 250 Euro registration fee.

 

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 admissions@elu.nl 

RECOGNITION AND ACCREDITATION

European Leadership University (ELU) has received it educational license in 2015 with the official decree and approval by the Ministry of Education and Culture in Turkish Republic of Northern Cyprus. We have received Institutional accreditation in 2016 and achieved full programme accreditation in 2017 by the Higher Education Planning, Evaluation, Accreditation and Coordination Council, Nicosia which is a member of The European Association for Quality Assurance in Higher Education (ENQA), the umbrella organisation for recognised government accreditation agencies in the European Higher Education Area (EHEA).

As a fully recognised European university:

a. Our degrees are awarded by European Leadership University out of its principal place of establishment in Famagusta, Northern Cyprus

b. Awarded degree is not a local Dutch degree based on the Dutch Higher Education and Scientific Research Act (WHW)

c. The degrees (60 ECTS) are recognised and accredited by by the Ministry of Culture and Education and the Higher Education Planning, Evaluation, Accreditation and Coordination Council in Nicosia, Northern Cyprus.