compulsory courses:
funamentals of ata management ﹙semester 1﹚
message-passing programming ﹙semester 1﹚
programming skills ﹙semester 1﹚
threae programming ﹙semester 1﹚
ata analytics with high performance computing ﹙semester 2﹚
software evelopment ﹙semester 2﹚
project preparation ﹙semester 2﹚
hpc optional courses ﹙at least 2 of﹚:
numerical algorithms for high performance computing ﹙semester 1﹚
esign an analysis of parallel algorithms ﹙semester 1﹚
hpc architectures ﹙semester 1﹚
avance parallel techniques ﹙semester 2﹚
avance message-passing programming ﹙semester 2﹚
parallel esign patterns ﹙semester 2﹚
performance programming ﹙semester 2﹚
ata science optional courses ﹙maximum two or three of, epening on creit-amount, access may be subject to enrolment limits, meeting iniviual course prerequisites set by the school of informatics an iniviual courses may not run in an iniviual year﹚:
machine learning practical ﹙semester 1 & 2﹚
bioinformatics 1 ﹙semester 1﹚
extreme computing ﹙semester 1﹚
image an vision computing ﹙semester 1﹚
text technologies for ata science ﹙semester 1﹚
avance topics in founations of atabases ﹙semester 2﹚
bioinformatics 2 ﹙semester 2﹚
istribute systems ﹙semester 2﹚
probabilistic moelling an reasoning ﹙semester 2﹚
reinforcement learning ﹙semester 2﹚
one 10 creit scqf level 11 course from the college of science an engineering