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Online MSc Computer Science with Data Analytics at University of York

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Reply 400

Yes I understand what you mean, however compared to other MSc courses I’ve been on (3 of them to say the least) the teaching on this one is eons better comparatively 😂. I think to get YouTube quality teaching you need to pay 28k to unis like imperial for their machine learning msc which imo is unfair but it seems to be the way education is nowadays for some reason.
Original post
by Nikki Al 2019
In one way it's good but in another way I'm finding BilalAshraf's comments from earlier are true - the way the material is presented is not friendly at all compared to some online resources for coding, not much explanation at all, even in the labs...

Reply 401

Ah, okay. Thanks for sharing your experience!
Original post
by Yourmainmancj
Yes I understand what you mean, however compared to other MSc courses I’ve been on (3 of them to say the least) the teaching on this one is eons better comparatively 😂. I think to get YouTube quality teaching you need to pay 28k to unis like imperial for their machine learning msc which imo is unfair but it seems to be the way education is nowadays for some reason.

Reply 402

Having completed module 1 already, I can say the assignments are relatively straightforward and if you follow the specification, you will probably get 70%. Quite a few have got 90%+ and some even 100%. Make sure you do relevant screenshots and they are labeled in your report, so it's obvious to the marker what is being shown. Coding style and comments are a bit more subjective. I suspect they decide which one is the best and how many marks it is worth and then use that as a benchmark for everyone else. I probably shouldn't be giving this information away given everyone I'm with only got feedback after all the assignments were handed in, so had no chance to improve the later assignments.
Original post
by dishes
Thanks for posting this - how have you found it completing the assignments and exams so far?

I have taken a part-time uni course in the past, that was aimed at people juggling work, however they had lots of annoying things like putting essay deadlines on Fridays, so that you couldn't finish them over weekends etc. that made it hard to complete - just wondering if this course has been put together a bit more thoughtfully than that!

Reply 403

How is the second module going by the way?
Original post
by Edtao3000
Having completed module 1 already, I can say the assignments are relatively straightforward and if you follow the specification, you will probably get 70%. Quite a few have got 90%+ and some even 100%. Make sure you do relevant screenshots and they are labeled in your report, so it's obvious to the marker what is being shown. Coding style and comments are a bit more subjective. I suspect they decide which one is the best and how many marks it is worth and then use that as a benchmark for everyone else. I probably shouldn't be giving this information away given everyone I'm with only got feedback after all the assignments were handed in, so had no chance to improve the later assignments.

Reply 404

The bad news is the workload steps up a gear or 2. It will be a struggle for those who have zero experience to keep up.

The module is graded on a final assignment. There are formatives that need to be done. Hopefully the feedback will be timely so that improvements can be made, before the final submission.
Original post
by Yourmainmancj
How is the second module going by the way?

Reply 405

Ed could you give us any heads up on what we can practice before the module starts - some of us have zero experience and are worried!Thanks.

Reply 406

The activities/exercises are optional, as you have probably worked out. You'll need to prioritise what is important and do that first. The reading for the 'Advanced Programming' module is quite extensive and you'll have to decide if you need to read it or not. The module is assessed based on a final summative assignment, so for me the priority will be to get the formatives out of the way and I'm only going to read about things I need to.

I'm on week 4 on this current module. In the first module I had completed everything by the end of week 3. My priority on the first module was to get enough revision in before the exam. If you go at the pace they set, you will only have a week to revise before the test. Having programming experience only helps slightly for the activities in the second module as you have to build quite a few small programs. You could always skip a few to keep up if you are falling behind.
Original post
by Nikki Al 2019
Ed could you give us any heads up on what we can practice before the module starts - some of us have zero experience and are worried!Thanks.

Reply 407

Thanks for the reply, that sounds a bit scary
Original post
by Edtao3000
The bad news is the workload steps up a gear or 2. It will be a struggle for those who have zero experience to keep up.

The module is graded on a final assignment. There are formatives that need to be done. Hopefully the feedback will be timely so that improvements can be made, before the final submission.

Reply 408

So I got some information.

So far:
@ Northumbria University MSc Information Science (Data Analytics): They teach SQL & SPSS but no Python

@ Huddersfield MSc Data Analytics: They use a lot like itSimple, planning.domains, viz, and planners, SAS (world-wide and cloud-based), R (Open source), C++ (Robotics), Matlab, Keras, Tensorflow, Knime, Google Cloud,Mongo, MySQL, Power BI

For me is Glasgow and UoL maybe the only option. Huddersfield looks good too as there is a big opportunity to learn a lot of new stuff! It's really not easy to find something where I can combine my Finance knowledge with Data Science/Analytics.

Reply 409

Original post
by CristianData
Hi ancient_queen,What free online programming courses have you done, are they focused on teaching Java?

Sorry for the delayed response, just spotted this. I did CS50 (Harvard's intro to programming - mainly used C at the time, but I think they've changed to Python now), MIT's intro to computer science (python) and Udacity's Android Basics (XML and Java). I have also dipped into random courses on udemy on Java and Android, but only watched a few videos, not completed any courses on there.

Reply 410

Original post
by Nikki Al 2019
Deadlines are on Mondays for this course!


Original post
by Yourmainmancj
I’ve not actually done the exam yet but for the assignments the answers are pretty much in the reading and they are always due on Monday which means that you have the weekend for them


The exam for the first module was available between Wednesday and Friday.

Reply 411

Is anyone else struggling to keep up with the content? I can get by, but I feel like I don't have a deep understanding of anything yet because a) it moves so fast and b) there aren't enough hours in the week, & I only work part-time!

Reply 412

Which module are you on? If you are struggling on the first assignment, the answer is pretty much in the “grader” file in one of the lab folders, all you need to do is manipulate the print out and control statements
Original post
by KittensAndCakes
Is anyone else struggling to keep up with the content? I can get by, but I feel like I don't have a deep understanding of anything yet because a) it moves so fast and b) there aren't enough hours in the week, & I only work part-time!

Reply 413

I can totally understand. I started the course about 4 / 5 days behind everyone else and I've been playing catch up ever since. I work full-time so I really have to be on top of things. Perhaps the one thing that's saved me is my prior programming knowledge, so I'm familiar with most of the concepts barring those that are Java specific.

Some things that I've found helpful in cementing knowledge:

- Repeatedly type the code from the lessons over and over. This helps to familiarise you with syntax and concepts through pure repetition alone.

- Try and work on basic projects

- After learning about a topic, try to explain it to yourself. If you have any gaps, then go back.

- Visual learning i.e mind maps, diagrams and pictures really help your brain to visualise and simplify often intangible concepts. Mind maps in particular help you to connect concepts together into a whole.

- Using travelling time to catch up on reading. Even 15mins counts!


Original post
by KittensAndCakes
Is anyone else struggling to keep up with the content? I can get by, but I feel like I don't have a deep understanding of anything yet because a) it moves so fast and b) there aren't enough hours in the week, & I only work part-time!

Reply 414

Can anyone help me answer the question as to what a data scientist is, and do they do machine learning? ive read a lot of things saying that they explore/collect the data, they then model the data, and visualise the results. without the mentioning of machine learning. Where would machine learning fall into those three steps.

Reply 415

It doesn't.
Original post
by adsefe
Can anyone help me answer the question as to what a data scientist is, and do they do machine learning? ive read a lot of things saying that they explore/collect the data, they then model the data, and visualise the results. without the mentioning of machine learning. Where would machine learning fall into those three steps.

Reply 416

Machine learning can be used in predictive analysis of the provided data. Data science is not just about graphs, it is about getting valuable information based on data. Data can be used to predict the future trend.
Original post
by adsefe
Can anyone help me answer the question as to what a data scientist is, and do they do machine learning? ive read a lot of things saying that they explore/collect the data, they then model the data, and visualise the results. without the mentioning of machine learning. Where would machine learning fall into those three steps.

Reply 417

thanks bilalashraf. Could someone help me out on what the difference is between structured, unstructured or semi-structured data

Reply 418

Hi!I am thinking of signing up for the Data Analytics one. How has the course gone for anyone currently on it?

Reply 419

Hey guysI'm a qualified accountant with an economics degree, so a bit of maths/stats background but would need to do a bit of catching up as it's been a few years since I graduated.

I'm looking to go into data science with a hope to one day specialise in financial software and data analytics as I have had a bit of experience with this kind of stuff so far in my career (more on the business liaison side rather than any technical programming work).

My number one course so far is definitely the UoL Data science MSc as this comes with an option to specialise in financial technology. Unfortunately the application opening date for this one is still TBC. I rang their student services line and all they could tell me was that there had been a delay with the launch of the course (as it is brand new) and they "hope" to launch it this year. All they could ask was that I sign up to the mailing list and I'll get a mail when the applications open.

Has anyone else managed to get any more info from them? I don't want to wait around for this course only to find out that they've decided not to launch and then miss the application deadlines for others.

I think my second choice would probably be De Montford, based on the relevance of the course content, but I'm torn as I know York is much more highly regarded.... any advice is more than welcome!
(edited 6 years ago)

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