Hi


I’ve only recently started looking into ways to complete a degree as cheaply and quickly as possible, but I found the post about ECTS credits from the University of Turku, along with some other discussions about similar Finnish universities offering free or online ECTS courses.

I know the ECTS are only worth about 0.5-0.75 credits, but how do I know if those credits are counted towards the specific degree I apply for at UMPI or UMass Global to reduce the amount of credits I have to take? I’m not from America, but I assume say, the Finnish as a Foreign Language credit wouldn't help if I wanted a degree in business from UMPI?

Sorry if this whole post has been a stupid question, but I don’t quite understand the US university system (doesn’t bode well for my degree if I can’t figure this out, I guess, does it?)


Thanks for any help.

I was just informed today by the registrars office that they will accept 3 certs for UL electives that are offered via Coursera:

Google Project Management = 3 UL Credits as a Free Elective

Google UX Design = 3 UL Credits as a Free Elective

Meta Social Media Marketing = 3 UL Credits as a Free Elective

If you were to do Health 310 via Study.com, that would then put you at a total of 12 UL Credits.

Coursera to buy Udemy, creating $2.5 billion firm to target AI training

https://www.reuters.com/business/courser...025-12-17/

Moving right along in the Basic Program.
 
Anticipating some great discussions in the new year/next term.




"he Year 3 Winter Seminar explores texts that were foundational in the development of the natural sciences. In the Tutorial, we explore two very different epic journeys of personal transformation."


https://graham.uchicago.edu/course/basic...-3-winter/

Since we have a list for MBA and related degrees, I thought we should have one for non-Business related (not the MAOL, MSML, MBA, MBS, etc).  Something either in the US/UK or foreign equivalent would also work, as there are many international programs available affordably.  I'll be searching this and the sister board to compile a list...

I dropped out of WGU in May when I ran into some problematic classes. Since then, I took those classes at 3rd party schools and picked up an Associate's degree. Now I am returning to WGU to finish my BS in Data Analytics and get the MS in DA. I should get the BS and MS within a year. After that, I assume I will be done with college, since I will be almost 60 and still plan to work. I was curious if there was a PhD in Data Analytics that was doable within 1 year. One more year of school might be ok if I could get a PhD. Most PhD programs seem to take a minimum of 2 years, if not longer.

Just an idea, but someone should consider making some DegreeForum merch. I'd totally buy a coffee mug and a hat

Every time I check out the national guide, there always seems to be a new professional cert (which I'm excited about)

IBM has recently released their Generative AI Engineering Professional Cert which is worth a whopping 17 CREDITS! This definitely ranks as one of the bulkiest ACE bundles amongst a couple of others:

IBM Generative AI Engineering Professional Cert

ACE Credit Breakdown:

Upper-Division Baccalaureate (3) 
Generative AI Engineering

Upper-Division Baccalaureate (3)
Machine Learning

Upper-Division Baccalaureate (3)
Python Programming

Upper-Division Baccalaureate (3)
AI Application Development

Upper-Division Baccalaureate (3)
AI Agents

Upper-Division Baccalaureate (2)
AI Ethics


Happy hunting!

If someone were hesitant about being able to complete 15 credits through TECEPs in one go (to bypass the residency fee), would WGU Academy be a solid option for someone?

Who will win the trillion-dollar robotaxi race?

This topic keeps coming up, and for good reason. Below are two solid reads that frame the debate well:

• Forbes: The Great Robotaxi Gamble — The Trillion-Dollar Race To Replace Your Uber Driver
  https://www.forbes.com/sites/sarwantsing...er-driver/
  
  
• The Economist: Who will win the trillion-dollar robotaxi race?
  https://archive.ph/TFgen#selection-1177.0-1177.48
  
  

• Who earns long-term public trust?
  
  
• Who can make the economics work at scale?
  
  
• And will there be one winner or regional and platform-level winners instead?