You mentioned that you chose QMUL because you wanted to learn data science that focuses more on computers than statistics and because you felt the program was systematic. However, I'm not entirely sure what you mean by "computer stuff." Have you considered pursuing an MSc in computer science instead?
It's worth noting that statistics is a crucial aspect of data science. Unfortunately, I found the applied statistics at QMUL to be a big disappointment. If you do choose to attend QMUL, I would highly recommend having strong proficiency in Python programming. In group projects, I've encountered students who had never learned programming and were unable to contribute, yet they received the same marks as those who did. This can be a frustrating experience for everyone involved, and I know of one person who remains unemployed despite receiving a grade distinction.
If you're a recent graduate with no work experience, it's important to manage your expectations regarding job prospects after completing the course. It's important to do your research thoroughly to avoid wasting your time.
I have met some international students who pursued the MSc primarily for the visa and career change opportunities, and many of them found success in finding jobs in the UK. So it would be good to have some level of experience in technology prior to joining.
While I'm happy to share more about my experience with the program, I must say that looking back, I don't believe a degree is necessary to learn about data science. There are many resources available online, but I understand that many students may wish to live in the UK for various reasons.