How technical can cognitive science get during a Master's? Nice to find this resource on the internet, I’m in need of advice from knowledgeable people in the field regarding the choice of CogSci Master’s program.

My situation is that I have an undergraduate degree (like a B.A.) in psychology, a major which I never really enjoyed because: 


Psychology as a "survey science" is not interesting to me.
Theoretically, psychology is a mess, too much "pop science", not enough clarification of the issues. 
I’m not enough adequate/motivated enough to perform in the kind of work psychologists do in clinical, educational or organizational settings.


Anyway, now that i'm done with undergrad, and I found out about CogSci as a parallel-associated-updated field which deals with psychology from a computational basis. I would like to get in a masters where the training in analytical methods, be it computational modeling, statistical analysis or other kinds, is good enough, to have new professional horizons closer to what a computer scientist does.

My current interests are cognitive robotics, behavioral operations management and cognitive economics through as I said mathematical and other analytical methods, which end up having to with Applied Cognitive Science

Given that during my BA I didn't train myself in mathematics enough, would CogSci help develop the relevant skills and change my career perspectives? What programs would you recommend which are strong in this sense?
Cognitive science graduate programs are quite diverse, reflecting the diverse interdisciplinary nature of the field. There will be some mix of psychology, computer science, neuroscience, and possibly philosophy, linguistics, and education. Individual programs differ in the relative proportions of those components, which then determines how much technical/computational background is needed and how much is taught. That said, because many people come to cognitive science from psychology, it is fairly common for first year students to be inclined to computational/quantitative approaches but not necessarily trained in those techniques -- in many cases, that's the point of the graduate program. If you haven't already, I recommend checking out the Cognitive Science Society's Study page.

Regarding career paths, CogSci programs tend to be academically-oriented PhD programs. That is, training students to do basic research and to be professors. Of course, many students choose other paths, but few programs specifically prepare them for those other paths. One exception is the Drexel University Applied Cognitive and Brain Sciences program (full disclosure: I'm faculty in that program). We emphasize quantitative training with classes on computational cognitive modeling (Bayesian and PDP models) and statistical tools beyond the core behavioral science statistical methods (multilevel regression, Bayesian statistics, analysis of neuroimaging data, data mining). Our goal is to prepare students for careers in both academia and industry. The Masters program is based on essentially the same coursework as our PhD program.