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Yes, I would recommend sticking with Coursera (and EdX) options for now, as you'll get the same diploma as the butt-in-seat cohorts. It'll be more affordable using Coursera/EdX as teaching platform mediums. At the end of the day, if the ones $15-$20K is within budget from these higher ranked institutions is for you, great! If not, then research what other comparable options there are...
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(06-24-2025, 03:15 PM)bjcheung77 Wrote: Yes, I would recommend sticking with Coursera (and EdX) options for now, as you'll get the same diploma as the butt-in-seat cohorts. It'll be more affordable using Coursera/EdX as teaching platform mediums. At the end of the day, if the ones $15-$20K is within budget from these higher ranked institutions is for you, great! If not, then research what other comparable options there are...
I have also been looking at the program in Applied AI at Luleå Technical University, Sweden. The program gives a MSc in Computer Science and Engineering with a specialization in Applied AI. Looking at the course list, it seems very applied indeed, which may or may not be a good thing.
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That seems like a very interesting program indeed... What are the requirements for entry? You got a link to the fees?
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(06-26-2025, 05:47 AM)bjcheung77 Wrote: That seems like a very interesting program indeed... What are the requirements for entry? You got a link to the fees?
Entry requirements:Academic degree of at least 180 higher education credits, of which at least 7.5 credits must include courses in programming and 7,5 credits in chemistry and 22.5 credits in mathematics. The mathematics skills must include Calculus, Linear Algebra and one course in either Logic or in Statistics.
Not partiularly cheap though.
https://www.ltu.se/en/education/tuition-...ation-fees
Fees:
70.000 SEK/semester. Around 30k USD for the whole degree.
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Oh, that's a bit expensive for a Masters... If that's the case, the Coursera/EdX option that's probably half the price or up to $20K may work for those who are on a tighter budget.
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NanoDegree: Intro to Self-Driving Cars (2019)
Coursera: Stanford Machine Learning (2019)
TESU: BA in Comp Sci (2016)
TECEP:Env Ethics (2015); TESU PLA:Software Eng, Computer Arch, C++, Advanced C++, Data Struct (2015); TESU Courses:Capstone, Database Mngmnt Sys, Op Sys, Artificial Intel, Discrete Math, Intro to Portfolio Dev, Intro PLA (2014-16); DSST:Anthro, Pers Fin, Astronomy (2014); CLEP:Intro to Soc (2014); Saylor.org:Intro to Computers (2014); CC: 69 units (1980-88)
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