Electives I took in my master's

Machine learning and data analysis:

• Bayesian & probabilistic-graphical models,
• Artificial neural networks,
• ML 101, ML in practice,
• Multivariate & robust statistics,
• Bio-informatics & more Bayesian modelling, and
• Nonlinear systems.

Neuroscience:

• Methods in systems neuroscience 101,
• Computational neuroscience 101.

Misc and from core curriculum:

• IT security
• Human physiology, Cell biology
• Anatomy, Biomechanics, Bio-fluid mechanics
• Sensors & stimulation in healthcare
• Biomaterials, Design in medical tech, Medical imaging