June 1, 2021

Advice for a University student?

Hi everyone,

I’ll be going into my final year of University (UK) pretty soon and I’m having some trouble picking modules and could use some advice. The module list looks like this:

* Distributed Systems (10 credits)
* Building Systems for People (20 credits)
* Graphics for Games (10 credits)
* Gaming Technologies and Simulations (20 credits)
* Software Verification Technologies (10 credits)
* Understanding Concurrency (10 credits)
* Introduction to BioDesign and Natural Computing (20 credits)
* Biomedical Data Analytics (20 credits)
* Cryptography (10 credits)
* System and Network Security (20 credits)
* Fault Tolerant and Cyber-Physical Systems (20 credits)
* Human Computer Interaction: Interaction Design (20 credits)
* Predictive Analytics, Computer Vision & Machine Learning (20 credits)
* Data Visualization and Visual Analytics (10 credits)

From this course list, I will of course be picking “Cryptography” and “System and Network Security”, but do not know what to pick for my last 20 and 10 credit module (total needs to be 60). Would any of these be useful for me to know going into this field? (I know you can’t really see the individual course overview from this but I’m only really looking for some general advice)

I was thinking of picking “Predictive Analytics, Computer Vision & Machine Learning” and “Data Visualization and Visual Analytics” as machine learning also interests me, although I don’t really see it being that useful in cybersecurity.



Fault Tolerant and Cyber-Physical Systems would be the most useful

Leave a Reply

Your email address will not be published. Required fields are marked *

Note: By filling this form and submitting your commen, you acknowledge, agree and comply with our terms of service. In addition you acknowledge that you are willingly sharing your email address with AiOWikis and you might receive notification emails from AiOWikis for comment notifications. AiOWiksi guarantees that your email address WILL NOT be used for advertisement or email marketting purposes.

This site uses Akismet to reduce spam. Learn how your comment data is processed.