Academic structure, teaching phases, and curriculum for M.Sc. Data Science at Aarhus University.
Master's degree programme in Data Science
Teaching phases
Compulsory courses
Advanced Statistical Learning, Large Scale Optimisation and Data Visualisation, 10 ECTS each.
Specialisation and electives
A 30-ECTS package, 30 ECTS electives and a 30-ECTS master's thesis; AU lists five package options.
Tuition fee and hostel estimate
Applying to Aarhus University?
Students Traffic verifies seat availability, checks current recognition status, and prepares your complete application for Aarhus University. The consultation is free.
Academic structure, teaching phases, and curriculum for M.Sc. Data Science at Aarhus University.
Master's degree programme in Data Science
Teaching phases
Compulsory courses
Advanced Statistical Learning, Large Scale Optimisation and Data Visualisation, 10 ECTS each.
Specialisation and electives
A 30-ECTS package, 30 ECTS electives and a 30-ECTS master's thesis; AU lists five package options.
Tuition fee and hostel estimate
Applying to Aarhus University?
Students Traffic verifies seat availability, checks current recognition status, and prepares your complete application for Aarhus University. The consultation is free.
Year-wise cost data is not currently published for this program.
Training & support
Practical training & industry exposure
The published programmes are research-based rather than professional-licensure degrees. Computer Science uses elective study and a final thesis that may be completed with a company or research project; Data Science combines compulsory statistical learning, large-scale optimisation and visualisation with a specialisation package, electives and a thesis; Physics applicants should consult the current programme page for its research areas and project structure. These routes do not imply a guaranteed placement or employment outcome.
Year-wise cost data is not currently published for this program.
Training & support
Practical training & industry exposure
The published programmes are research-based rather than professional-licensure degrees. Computer Science uses elective study and a final thesis that may be completed with a company or research project; Data Science combines compulsory statistical learning, large-scale optimisation and visualisation with a specialisation package, electives and a thesis; Physics applicants should consult the current programme page for its research areas and project structure. These routes do not imply a guaranteed placement or employment outcome.
