Since time seems to be the major concern for you, I'd stick with TESU and go ahead and take most courses through alt credit. If you started now, I would think you could graduate in September, which could have you starting at GT next winter.
If you do get turned down by OMSCS, which I don't find likely, then you can ask admissions where you fell short and go back and take some courses for credit, or wait for another year of experience, or whatever will put you over the top.
Meanwhile, you'll have the bachelor's in hand, which will presumably help your career. You might even find an employer who will pay your tuition for the master's.
If you do get turned down by OMSCS, which I don't find likely, then you can ask admissions where you fell short and go back and take some courses for credit, or wait for another year of experience, or whatever will put you over the top.
Meanwhile, you'll have the bachelor's in hand, which will presumably help your career. You might even find an employer who will pay your tuition for the master's.
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?
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