IAM — 2026-2027

Study plans

Named, saved EXAMPLE programs for this curriculum version — one concrete 2-year schedule satisfying the requirements, the same idea as TU/e's own published "Example study plans." Useful when the main Scheme page is mostly electives and doesn't show much on its own.

Name	Total credits	Open issues	Notes
Mathematics and Computing for the Sciences	120 / 120 EC	none	Synthetic example study plan for the 'Mathematics and Computing for the Sciences' specialization (not sourced from a TU/e-published page -- that specialization's own education guide subpage is purely descriptive, with no course list of its own; see seed_iam_master.py's and this script's own module docstrings). Specialization's own blurb: "Master the computational and theoretical tools to model, simulate, and analyze natural and engineered systems, from quantum to geological scales, for societal and environmental applications. Develop expertise in differential equations and geometry, numerical algorithms, high-performance computing, stochastic processes, and AI." Every quarter sums to exactly 15 EC; every requirement group is fully satisfied.
Mathematics for Digital Technologies	120 / 120 EC	none	Synthetic example study plan for the 'Mathematics for Digital Technologies' specialization (not sourced from a TU/e-published page -- that specialization's own education guide subpage is purely descriptive, with no course list of its own; see seed_iam_master.py's and this script's own module docstrings). Specialization's own blurb: "Discover the mathematical foundations that drive today's digital world. This specialization covers core topics in discrete mathematics and its applications, including algebra, algorithms, coding theory, combinatorics, cryptography, discrete geometry, discrete optimization, and graph theory." Every quarter sums to exactly 15 EC; every requirement group is fully satisfied.
Mathematics of AI and Machine Learning	120 / 120 EC	none	Synthetic example study plan for the 'Mathematics of AI and Machine Learning' specialization (not sourced from a TU/e-published page -- that specialization's own education guide subpage is purely descriptive, with no course list of its own; see seed_iam_master.py's and this script's own module docstrings). Specialization's own blurb: "Learn the mathematics that empowers machines to recognize patterns, make decisions, and learn from data. Through analysis, geometry, stochastics, and combinatorics, you will develop the skills and understanding needed to analyze, design, and optimize high-performance AI and ML systems." Every quarter sums to exactly 15 EC; every requirement group is fully satisfied.
Network Mathematics	120 / 120 EC	none	Synthetic example study plan for the 'Network Mathematics' specialization (not sourced from a TU/e-published page -- that specialization's own education guide subpage is purely descriptive, with no course list of its own; see seed_iam_master.py's and this script's own module docstrings). Specialization's own blurb: "Understand and shape the complex networks that form the backbone of today's society, including communication and transportation systems, supply chain logistics, energy grids, online platforms, and social networks. Master rigorous mathematical concepts and algorithmic tools to analyze, predict, and control networks across multiple scales and sources of uncertainty." Every quarter sums to exactly 15 EC; every requirement group is fully satisfied.