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Check if your qualifications meet this program's admission requirements.
14 skills mapped from curriculum analysis
These skills are derived from curriculum analysis and industry alignment. Primary skills are core to the program; others are developed through coursework and projects.
Core skills
Additional skills
Human Skills
Domain Knowledge
Other
Thinking & Problem Solving
Technical Skills
Total skills
14
Core skills
5
High demand
5
This is based on the AI, Data & Intelligent Systems Future Field and its subfields (not program‑specific promises). Use the official program page for curriculum details.
Why this field matters
Artificial intelligence, machine learning, data science, and computational systems
Career outcomes snapshot
A quick, visual overview of common outcomes in this field (roles + paths + subfields). It’s field-level context — not a promise for this specific program.
Roles
9
Paths
8
Subfields
3
Top roles
Typical paths
Subfields
Looking for a Master's in AI, Data & Intelligent Systems? Compare intakes above and verify curriculum details on the official programme page.
A–F framework evaluation • Each score is backed by evidence
6-dimension future-readiness evaluation
Future relevance
Is this program connected to fast-growing careers?
“The first semester gives an overview of the drug discovery and development fields and provides the tools needed for subsequent courses and future professional life.”
View sourceTech & data strength
Will you build strong technical skills (data, software, AI tools)?
“Examples of modelling techniques included in the programme are: computational chemistry, modelling of clinical and preclinical data, machine learning and artificial intelligence, bioinformatics, pharmacokinetics and pharmacodynamics, biopharmaceutics and drug delivery, basic programming skills.”
View sourcePeople skills
Does it build communication, teamwork, and leadership?
“At the faculty of Pharmacy, a lot of research in drug development often takes place in collaboration between experimental methods and modelling.”
View sourcePractical learning
Do you learn by doing (projects, labs, real-world work)?
“Aside from a continued career within academia as a PhD student, previous students on the programme are working with, for example, programming in the pharmaceutical industry, project management and as lab and research engineers.”
View sourceInnovation & entrepreneurship
Does it support innovation, startups, or building new things?
Based on this program's field (AI, Data & Intelligent Systems), curriculum structure, and institution profile. How we score →
Global & ethical impact
Does it cover sustainability, ethics, and global perspective?
Based on this program's field (AI, Data & Intelligent Systems), curriculum structure, and institution profile. How we score →
How we calculate these scores
Our A–F framework evaluates programs across 6 dimensions of future-readiness. Scores combine: field alignment (how the program's field connects to growing industries), curriculum signals (keywords, course structure, learning outcomes), and institution profile (research focus, industry partnerships). This program has 5 verified citations from official sources.
Learn more about our methodologyMojo can build a personalized shortlist based on your profile. Or talk to a human advisor.
Promise: no sales pressure — just clarity.
Industry insights verified by Mojo
Big-picture context for AI, Data & Intelligent Systems. These sources show why the field is growing — not specific program details.
AI and big data are the fastest-growing skills
World Economic Forum • 2025-01-01
AI and big data top the list of fastest-growing skills, followed closely by networks and cybersecurity as well as technology literacy.
Read sourceTechnology roles are among the fastest-growing jobs
World Economic Forum • 2025-01-01
Technology-related roles are the fastest-growing jobs in percentage terms, including Big Data Specialists, Fintech Engineers, AI and Machine Learning Specialists and Software and Application Developers
Read sourceAI is set to create around 11 million jobs by 2030
World Economic Forum • 2025-01-01
AI and information-processing technologies are expected to create about 11 million jobs by 2030 while displacing 9 million — a larger swing than any other technology.
Read sourceGenerative AI could add $2.6–4.4 trillion to the global economy each year
McKinsey & Company • 2023-06-01
McKinsey identifies 63 generative-AI use cases across 16 business functions that could deliver $2.6–4.4 trillion in value annually — raising the impact of all AI by 15–40%.
Read sourceCitations from official sources
The first semester gives an overview of the drug discovery and development fields and provides the tools needed for subsequent courses and future professional life.
View sourceExamples of modelling techniques included in the programme are: computational chemistry, modelling of clinical and preclinical data, machine learning and artificial intelligence, bioinformatics, pharmacokinetics and pharmacodynamics, biopharmaceutics and drug delivery, basic programming skills.
View sourceData & Analytics
At the faculty of Pharmacy, a lot of research in drug development often takes place in collaboration between experimental methods and modelling.
Aside from a continued career within academia as a PhD student, previous students on the programme are working with, for example, programming in the pharmaceutical industry, project management and as lab and research engineers.
View sourceThe independent project work focuses on responsibility, and great freedom is given to explore a specific area further.
View source