(10-24-2022, 03:27 AM)Osioko Wrote: Sorry I know less, but I was wondering if I want to convert my CS degree, how do I determine which is better for me, TESU or UMPI?
I still have some concerns. Firstly if I finish it quickly, will the degree and transcripts I get be questioned for authenticity because it is too short? Secondly most master's programs at quality schools require a full-time undergraduate degree to apply, so does my getting that degree lose its validity in this case?
I don't mean to break the rules, I just want to know if the degree and transcripts I get will be treated the same as if I got it the full-time way.
As noted above, UMPI is not an option at this time. As far as whether a TESU BACS would put you at a disadvantage, the degree and transcipts are entirely authentic and will be treated just like those from any public university in the US. Full time vs part time would not be a factor in my opinion. The only disadvantage I can foresee is that many of your CS credits will not have grades. If you had some work experience (in CS) to go with your transcript, I think that would matter very little.
Does that mean you will be assured of getting into a specific top master's program? Of course not. Someone coming from a top university, or with tons of work experience may well beat you out for a spot, but your chances of getting into a decent program somewhere should be good, assuming you can write a good application package. If you can work for a bit as an engineer between the bachelor's and the master's, that would be of great help.
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)
PLA Tips Thread - TESU: What is in a Portfolio?
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)
PLA Tips Thread - TESU: What is in a Portfolio?