04-27-2018, 11:35 AM
Yes, the best way to start is to start as noted above. In parallel, make a short list of schools you would like to attend for your JD. In particular, research their admissions policies, both on their official websites and on social media with actual students, to see what you need to focus on. Separately, search for stories of people who have gone to one of the Big3 or WGU or any other school you considering and who got into ANY law school. Ask them what their path looked like.
That will help you narrow down exactly what bachelor's you'd like to earn and whether you need to get a certain number of graded credits which will in turn help you decide what school to get your degree from.
With that said, don't get stuck on a path you won't finish. For instance, if you know you simply won't finish 60 butt-in-seat credits at a CC, then don't accept a plan that requires you to do that. In the end, know that you can probably completely test out of a degree and find a law school SOMEWHERE, that will accept you.
That will help you narrow down exactly what bachelor's you'd like to earn and whether you need to get a certain number of graded credits which will in turn help you decide what school to get your degree from.
With that said, don't get stuck on a path you won't finish. For instance, if you know you simply won't finish 60 butt-in-seat credits at a CC, then don't accept a plan that requires you to do that. In the end, know that you can probably completely test out of a degree and find a law school SOMEWHERE, that will accept you.
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?