Professional Master in Data Science, AI & Leadership

PROFESSIONAL MASTER IN

DATA SCIENCE, AI & 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 three professional certifications and a master degree

Applied Foundations in Data Science and Leadership

Month 1 - 5 | Online

Applied Machine Learning and Leadership

Month 5 - 9 | Online

Advanced AI Technologies and Leadership

Month 9 - 15 | Online

Final Project - Professional Masters Degree

Month 15 - 19 | Project/Practicum - Online

WHY DATA SCIENCE and AI?

Dubbed the hottest job of the 21st century, data scientists are among the most sought-after professionals in today’s job market. With the rise of generative AI, the demand for experts who can analyze data, build intelligent systems, and drive AI-powered innovations has skyrocketed. According to Glassdoor, data science remains one of the top careers globally in terms of demand, salary, and job satisfaction. In Amsterdam, the average entry-level data scientist salary is €47,422, with increasing opportunities in AI-driven fields such as machine learning, generative AI, and AI ethics. Our programme prepares you for the future of AI and data science by equipping you with cutting-edge technical and leadership skills while connecting you with top employers in the Amsterdam metropolitan area.

ENROLMENT DATES

November 2025

Total duration of the Master Programme is 19 months.

PROGRAMME FEE

3600 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.

ARE YOU READY TO CHOOSE YOUR FUTURE?

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.

DATA SCIENCE AND AI COMPETENCIES

Equip yourself with the right skills

CODING QUALITY

DATA UNDERSTANDING

STATISTICAL ANALYSIS

MACHINE LEARNING

DEEP LEARNING

NATURAL LANGUAGE PROCESSING

COMPUTER VISION

DATA SCIENCE ETHICS

GENERATIVE AI & LLMs

LEADERSHIP AND ACTION RESEARCH COMPETENCIES

PERSONAL AWARENESS
INTERPERSONAL AWARENESS

ORGANISATIONAL AWARENESS
COMMUNICATION

ETHICAL AND TRUSTED LEADERSHIP
ACTION RESEARCH SKILLS

ARE YOU READY TO CHOOSE YOUR FUTURE?

CURRICULUM

Foundational Module 0:
Introduction to Python & Statistics (Compulsory for those who can’t meet the passing criteria in the entry assessment)

Certificate 1: Applied Foundations in Data Science and Leadership

Module 1: Welcome and Orientation

Module 2: Understand and communicate your data

Module 3: First Person - Self as Leader

Module 4: Ethical Consideration and Overcoming Biases

Certificate 2: Applied Machine Learning andLeadership

Module 5: Machine Learning (Supervised Learning)

Module 6: Second Person - Relational, Social and Psychological Perspectives

Certificate 3: Advanced AI Technologies and Leadership

Module 7: Machine Learning (Beyond Supervised Learning)

Module 8: Deep Learning and Applied AI

Module 9: Generative AI and LLMs

Module 10: Third Person - Organisational, Ecological and Contextual Perspectives

Final Project

The final project is the last part of your programme and the successful completion of your professional masters.

Foundations in Data Science and Leadership (Month 1 – 9)

Module 1: LAUNCHPAD: Embarking on Data Science and Engaging with the Programme & Each Other

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.

Module 2: Python for Data Science

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)

Module 3: Exploratory Data Analysis (EDA)

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.

Module 4: Data Visualisation and Statistic

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.

Module 5: Introduction to Machine Learning

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.

Module 6: Advanced Topics

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)

Module 1: Introduction to Action Research and Academic Writing

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.

Module 2: Construct your Project Idea through Coaching within an Organisation (Cycle 1)

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.

Module 3: Improve your Project Idea through Team Facilitation within an Organisation (Cycle 1)

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.

Module 4: Plan and Propose your Action Plan to the Organisation (Cycle 1)

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.

TAUGHT BY A FACULTY TEAM OF PRACTITIONERS AND ACADEMICS

ARE YOU READY TO CHOOSE YOUR FUTURE?

APPLY NOW FOR MASTER OF DATA SCIENCE, AI and LEADERSHIP PROGRAMME

Online Application Form

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

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.

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:

Bachelor’s degree
English proficiency at a high B2 / low C1 level
Motivation to learn more about the fields of data science, AI and leadership, and dedication to set aside approximately 20 hours per week during an intensive 19-month part-time study

A preparatory programme is available if you lack Python, maths and statistics.

If you are unsure whether you meet the prerequisites for the course, please write us at [email protected]

RECOGNITION AND ACCREDITATION

Amsterdam Tech is accredited by Accreditation Service for International Schools, Colleges and Universities (ASIC) with Premier status for its commendable areas of operation. ASIC accreditation helps students and parents make a more informed choice and will also help a school, college, university, training provider or distance education provider, demonstrate to the international student body that they are a high quality institution.

ASIC is recognised by UKVI in UK and is a full member of The International Network for Quality Assurance Agencies in Higher Education (INQAAHE), is a member of the BQF (British Quality Foundation) and are institutional members of EDEN (European Distance and E-Learning Network).

Amsterdam Tech degrees are offered as EU degrees according to Malta accreditation with our partner institution which operates with the approval of The Malta Further and Higher Education Authority (MFHEA) which are considered foreign accredited degrees rather than Dutch degrees according to the Dutch Higher Education and Scientific Research Act (WHW) and are internationally recognized in the Netherlands, Europe, the US, Canada, and over 60 other countries as EU degrees.

Amsterdam Tech is a member college of Woolf University and offers credits and degrees through Woolf University which operates with the approval of The Malta Further and Higher Education Authority (MFHEA)

Woolf University degrees are considered foreign accredited degrees according to the Dutch Higher Education and Scientific Research Act (WHW) and are internationally recognized in the Netherlands, Europe, the US, Canada, and over 60 other countries as EU degrees.

You can find more information on Woolf University’s accreditations here

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.

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).