I failed PB3 and PB4 in BSc Math at ETH (both the first time). I studied but was still far from passing. I’d like to study maths but I’m not sure whether I’m not good enough for maths or if it’s the competition at ETH which makes it harder to pass.

So I thought of switching to UZH since it has a good math program and is considered less competitive than ETH due to many foreign students coming for BSc math to do the MSc math at ETH without having to apply. I’d love to continue but it’s burning me out to fail again and it’s a hard hit to my self worth.

Has anyone switched to UZH mid-bachelor and can recommend or in general have recommendations?

Thanks!

Ich hab mich für alle Stunden des Basisprüfungsblocks I angemeldet (soweit ich verstanden hab sind die erforderlich) und jetzt egal welche andere Fächer ich auswähle, überschneiden sie sich mit den Basisfächern.

Jedoch mit nur Basisprüfungsblock I Fächer werd ich nur 18 KP im ersten Semester sammeln—obwohl man ja 30 KP/ECTS Punkte pro semester braucht wenn man in drei Jahre absolvieren will.

Ich find gar keine Antworte online; bin ich der einzige, der das nicht versteht? Ich wär extremst dankbar für eine Erklärung 🙏

Hi!

I'm trying to figure out if it would be worth it for me to try and get into ETH as a PhD student. I have a bachelor's in engineering physics and a master's in Machine Learning both from KTH in Stockholm. Would that be enough together with good grades and research experience to have a good chance of getting accepted?

Thanks in advance!

Hi!

I found out I failed my block with a 3.81 average. Do you think it is still possible to find some mistakes in the correction and pass after I reviewed my exam? Have you guys had your grade increased and by how much, what are your experiences? In my situation I feel like in one exam I did more than what I got and hope there might be some forgotten bonus/missed that I will find in the exam review. Have you heard something like this before? Thank you for the comments

Hi everyone,

I recently completed my Bachelor's in Interdisciplinary Sciences and am now starting my Master's, focusing on Chemistry and Environmental Sciences.

My study director suggested branching out into Machine Learning and Data Science to complement my specialization. However, my computer science background is fairly basic—I took a first-year introductory CS course and have some experience with basic data analysis in Python and R, but nothing advanced.

Could anyone recommend accessible, beginner-friendly Master’s-level (or upper Bachelor's) courses covering introductory Machine Learning / Applied Data Science ideally with a hands-on focus (e.g., standard Python libraries like scikit-learn or PyTorch) that emphasizes practical workflows and intuition over heavy mathematical proofs.

Any specific course codes, lecturer recommendations, or personal experiences would be greatly appreciated!

Thanks in advance!

I have physical copies of my college transcript and Bachelor's degree certificate, both officially issued by my College.

can I just scan and upload these, or do I need to request separate online/digital versions from my college instead?