A project has a scope, not a guaranteed result.

Learners work with an experienced researcher or subject-matter specialist, individually or in a small team.

Projects may involve evidence synthesis, data analysis, computational modeling, human-centered design, engineering, or appropriately approved experimental work. The question, methods, available resources, and learner preparation determine what is feasible.

A typical working process.

01

Define the question and context

02

Develop a feasible plan

03

Build the necessary methodological skills

04

Carry out and document the work

05

Review results

06

Communicate the contribution and limitations

Regular meetings and feedback support progress, while the learner remains responsible for understanding and contributing to the work.

Format and Duration

Some programs combine an introductory foundations component with a roughly 10-week project phase. Other projects extend over several months.

The specific format, expected workload, resources, and supervision are established for each offering rather than inferred from a general catalog page.

Possible Research Outputs

Depending on the scope, work may include a research proposal, analytical report, reproducible notebook, technical demonstration, design prototype, research poster, abstract, or manuscript draft.

A sound pilot study or well-documented limitation can also be a meaningful learning outcome.

Across disciplines.

Examples include finance, HCI, energy systems, biomedical data, robotics, manufacturing, computational drug design, and digital humanities. New topics can be developed without changing the program structure.

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