Amsterdam Institute of Technology
PROFESSIONAL MASTER IN
DATA SCIENCE & LEADERSHIP
19 Months | Online | 60 ECTS Credits
Earn a professional data science master’s 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.
- Opportunity to do the final project in The Netherlands.
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 - 19 | 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
March & November
Total duration of the Master Programme is 19 months.
PROGRAMME FEE
5000 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.
EARN A RESEARCH VISA TO NETHERLANDS WHEN YOU STUDY MASTERS AT Amsterdam Tech.
Amsterdam Tech Master’s Students stand a chance to earn a Research Visa to the Netherlands during their studies. Students who successfully pass the certification stage can apply to do their research in the Netherlands (at extra cost) and obtain a Visa. Learn more in the brochure here.
TECHNICAL COMPETENCIES
Equip yourself with the right skills
PYTHON PROGRAMMING
MACHINE LEARNING
DATA COLLECTION
STATISTICAL ANALYSIS
DEEP LEARNING
DATA HANDLING
NATURAL LANGUAGE PROCESSING
MACHINE MODEL BUILDING
DATA COMMUNICATION
EXPLAINABILITY AND ETHICS
ACTION RESEARCH
DATA ANALYZER
COMPUTER VISION
LEADERSHIP COMPETENCIES
ACTION RESEARCH
COACHING
TEAM FACILITATION
COMMUNICATION
ACCOUNTABILITY
INTERPERSONAL AWARENESS
TEAM-PLAY
BEING A TRUSTED ADVISOR
SELF-LEARNING
CURRICULUM
Data Science Certificate
(Month 1 – 9)
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.
Build on your pre-existing programming knowledge and give you a practical start with basic and intermediate level Python programming such as functions, iterators and lists. You will also be introduced to object-oriented programming (OOP)
Build on your skills in DataFrames in pandas, learn how to leverage pandas’ powerful data manipulation engine by extracting, filtering, and transforming data.
Acquire the understanding and the skills to wrangle and extract data from relational databases using a language called SQL.
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.
Deep dive into the brains of data science and artificial Intelligence, machine learning. Build predictive models and evaluate how well they perform in different scenarios.
Start your journey on deep learning, also known as neural networks, starting from the theoretical foundations and ending up in building your own neural networks.You will be introduced to certain ethics limitations of ML and also how interpretability of the ML models can help ease these concerns.
Leadership and Action Research Certificate (Month 9 – 14)
Begin your leadership journey by developing self awareness about your intentions, values and beliefs as an individual to better understand and articulate your purpose in life. Adopt a mindset and a set of tools for developing a systematic reflection and reflexivity to be more self-conscious and resilient in your professional life and learn about action research and academic writing in relation to data science.
Develop your 1-1 coaching skills that will leverage your relational capacity in your professional life. With references to psychological theories on individual human behaviour and social interaction, learn about the basis of growth and development for yourself as well as your future clients.
Acquire the essentials of group-facilitation and team-coaching to enhance effectiveness in your teams. Learn about the fundamentals of team facilitation and coaching including creating an inclusive environment, leading decision-making and problem-solving processes, encouraging high performance and effectively addressing poor performance in your teams.
Adopt an organisational perspective and develop advanced-level context-sensitive skills that are required in deciding on developmental interventions. Acquire a set of techniques and tools – such as data storytelling – that are intended to increase your professional impact.
Final Project (Month 14 – 19)
– Use a practical and structured way of applying action research in your workplace/ an organisation/as a freelance data scientist.
– Design and execute a work-based project using Action Research Methodology and Insider Research.
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 thinking test and an interview with the admissions consultant to detail your expectations and 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 and a 250 Euro registration fee.
04
Entry test for basic programming and statistics
Upon enrolment, you will be required to complete an entry test for basic programming and statistics (If you pass the test you will be able to start the programme from Module 1, if not, you will be required to complete a Foundational Module 0 (4 weeks) before the start of the programme
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 [email protected]
RECOGNITION AND ACCREDITATION
Amsterdam Tech is internationally accredited by Accreditation Service for International Schools, Colleges and Universities (ASIC) which is an independent body providing accreditation services for independent, further, and higher education colleges.
Amsterdam Tech offers credits and degrees (60 ECTS) through a validation partnership with European Leadership University which operates with the approval of the Ministry of Culture and Education and the Higher Education Planning, Evaluation, Accreditation and Coordination Council in Nicosia, Northern Cyprus.. While awarded degrees are internationally recognised and accredited as a European degree, they do not lead to a local Dutch degree based on the Dutch Higher Education and Scientific Research Act (WHW).
Amsterdam Tech is officially registered at CRKBO (Centraal Register Kort Beroepsonderwijs). The CRKBO (Dutch “Centraal Register Kort Beroepsonderwijs”) is the Central Register for Short Vocational Education.
Amsterdam Tech Is recognised as an EU Research Institution with Research Sponsorship Status according to Directive (EU) 2016/801.
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