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Online Data Science MSc - University of London, Goldsmiths

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Original post by AL202
It's great to hear that among the students without programming/relevant backgrounds, the results from the first coursework assessment have been very good. Also, you nailed the crux of my question: is this doable, while putting in a reasonable amount of hours, for people who have absolutely no background... Thanks again for addressing the questions head on, as I contemplate which (first) module to enroll for this upcoming April. Finally, I know this is the only module you can speak directly to (in the sense that this is the only one you have direct experience with so far). But, if you're hearing anything from people without a tech background with regards to any of the other modules, or have any other advice/comments in general, please feel free to make them. Thanks again.


Yes, I knew that the module ran for twenty two weeks and wasn't set up like traditional UK university courses which have a long break for Christmas but I naively thought we might get a week or two off for Christmas. At least I'll know what to expect when picking modules to do in the October 2022 session! There are many international students so I guess some people won't be based in countries that have a Christmas holiday.

Each module is supposedly stand alone so there is no expectation that you have already done the Introduction to Programming module before attempting any of the others. However, those that have not done it (or were doing it concurrently with other modules) did say that not having already done it made things more difficult as all modules involve some coding. If you are not already familiar with Python and have some time before you start, I would strongly suggest learning some Python now. I highly recommend Corey Schafer's youtube videos or if you are happy to spend some money - Jose Padilla on Udemy is also good (Udemy have very regular sales so no need to ever pay full price for their courses).

I'm dropping my hours at work so planning on doing two modules in the April 2022 session (likely Machine Learning and Big Data Analysis). I can report back later in the year on how those are going. One person who started in October 2021 and is also doing the statistics module said that she was able to manage it in seven hours per week (she was also new to programming and was finding the programming module quite intense just like me).
Reply 21
Original post by phi_phi_d
Yes, I knew that the module ran for twenty two weeks and wasn't set up like traditional UK university courses which have a long break for Christmas but I naively thought we might get a week or two off for Christmas. At least I'll know what to expect when picking modules to do in the October 2022 session! There are many international students so I guess some people won't be based in countries that have a Christmas holiday.

Each module is supposedly stand alone so there is no expectation that you have already done the Introduction to Programming module before attempting any of the others. However, those that have not done it (or were doing it concurrently with other modules) did say that not having already done it made things more difficult as all modules involve some coding. If you are not already familiar with Python and have some time before you start, I would strongly suggest learning some Python now. I highly recommend Corey Schafer's youtube videos or if you are happy to spend some money - Jose Padilla on Udemy is also good (Udemy have very regular sales so no need to ever pay full price for their courses).

I'm dropping my hours at work so planning on doing two modules in the April 2022 session (likely Machine Learning and Big Data Analysis). I can report back later in the year on how those are going. One person who started in October 2021 and is also doing the statistics module said that she was able to manage it in seven hours per week (she was also new to programming and was finding the programming module quite intense just like me).

Yes, each module is supposedly stand alone, but even in the program director's recent webinar, I'm pretty sure (don't quote me) that he suggested that the Python course, Stats course, and Machine Learning course were sort of foundational to other courses (perhaps UofL's relevant webpage should state that).

Your suggestion on familiarizing myself with Python is definitely noted. I actually recently enrolled in Codeacademy Pro, which I find great for a basic introduction (which is precisely what I need, I think it's $50 per month for anyone who might want to have a look). If you have any opinions on Codeacademy Pro's intro Python course as it relates to prep for this program, please feel free to share.

Also, with regards to Jose Padilla's Udemy course, were you suggesting the Python 'From Zero to Hero' course, or 'Python for Data Science and Machine Learning' (or either)?

And I'm so sorry but I'm going to try to squeeze one more question in: did the person you mentioned who took stats along with python begin with no background in stats and probability?

Thanks again!!
(edited 2 years ago)
Reply 22
Hi there, I am currently applying in Goldsmith Msc Data Science and AI. I am quite confused about the academic and employee references. Is it compulsory for the candidates to supply these 2 documents? I would really appreciate your response.
Reply 23
Hi there, I am currently applying in Goldsmith Msc Data Science and AI. I am quite confused about the academic and employee references. Is it compulsory for the candidates to supply these 2 documents? I would really appreciate your response.

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