Earn a Tech MBA degree (60 ECTS) with:
Businesses are facing an unprecedented digital transformation. There is a growing demand for business leaders who can effectively combine their technology skills with leadership skills. With a Tech MBA with us, you will go beyond a traditional MBA and learn to develop a new mindset, and acquire the skills to transform and innovate your business developing new business models and strategies while you get equipped with the skills and tools to lead your teams in a more agile way.
Duration of the Master Programme is 1 Year
Installments and Flexible Payment Plan available.
Use Python to manipulate, analyze and visualize data.
Build predictive models on structured and unstructured data. Determine the right approach to solve problems and find an optimal solution.
Import data from various different sources.
Convert raw data into a form ready for analysis. Implement data manipulation techniques prior to analysis.
Explore large sets of data. Communicate and present visually critical data-driven.
Apply statistical method to infer meaning from data and test hypotheses.
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.
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.
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.
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.
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.
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.
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.
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This quick form will help us understand whether you meet the basic requirements.
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If your profile is shortlisted, you are invited to an online video interview to substantiate your motivation for the programme.
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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:
If you are unsure whether you meet the prerequisites for the course, please write us at admissions@elu.nl
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.