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Found 7 results

  1. Hey, I'm a CHDA (Certification in Health Data Analyst) student. As part of the semester project, I'm doing a thesis on the unsolved challenges in healthcare IT solutions. Unfortunately, due to this pandemic, I have restrictions on meeting experts in person; that is why I'm posting this thread. So can anyone please share your thoughts, links to websites or suitable books for me to refer to? It would help me a lot in this journey. I'd like to brief two main issues that I have found so far. The first one is security; when healthcare and technology are associated, there is a high risk of losing the bio-information of a large cluster of people. The second one is lack of expertise. Combining healthcare and IT requires medical professionals to have basic knowledge of technology and technical people to know the medical field's fundamentals. I'm learning the cyber security basics from a friend who is doing PG in the same. So better if you could help me with healthcare IT solutions rather than cybersecurity-related info.
  2. Hi everyone! I'm having a lot of trouble deciding which M.S. in Computer Science (with a focus on computer security) I should pick. Here is the list of the programs I've been accepted to: University of Waterloo - fully funded University of Virginia - $2000 fellowship, (potentially, i'd get in-state tuition, which is ~20k/year. out of state tuition is ~35k/year) Georgia Tech - no funding (~20k/year) University of Utah - no funding (~20k/year) University of Illinois at Urbana Champaign - no funding (~35k/year) UMD College Park - no funding (~40k/year) Georgetown - no funding (~40k/year) So that you get an idea of my financial situation, my parents are willing and able to pay for tuition/living expenses at any of the universities that I've been accepted to. That said, I don't want to burden them with an excessively high tuition fee when there are more affordable options. I feel like, in most situations, people are stuck between attending a fully-funded program at a lower-ranked school and an unfunded one at a more prestigious school. In my situation, what I imagine to be the most prestigious school on the list (Waterloo) is the one offering me funding. At Waterloo, I wouldn't have to search for any RA/TA positions because I'll already be doing research with a specific professor and TA-ing. I feel like most people would commit to that school immediately. But for some reason, there's something holding me back. I don't know why. Do I just not like the town that much? Am I worried that I'd feel out of place or not perform well compared to the types of people who usually get accepted there? Do I not want to live in the cold? I don't know. Maybe all of the above. UVA is most likely going to give me in-state tuition. They also offered me a fellowship, which, although not significant compared to the tuition, makes me feel like they were at least trying to attract me to their program. There's also a high likelihood that I'd be able to get an hourly position as a masters teaching assistant. It's also in a scenic location with a lot of nature, which I like, and is also pretty close to a lot of my family who live in the D.C./northern Virginia area, so I could potentially visit them often. That said, I'm not really a fan of what seems to be a preppy(?) culture at the school, although maybe that matters more at the undergraduate level. None of the other schools offered me funding or awards, and I'm not sure how likely it is that I'll be able to secure a TA/RA position there. I'd really appreciate your advice. Where should I go, if I want to go into computer security?
  3. Hi All Newbie here. I am planning to apply for a MPP focussed on Science and Technology Policy / Cyber security policy. I have 11 years of experience and am currently working in the Private sector with a IT consulting company and doing Cybersecurity consulting.Since i have an engineering background, and do not have friends or family that have done an MPP before I am reaching out to you guys to know what are the job prospects upon graduation from a MPP focused on Science and Technology. I am interested to know the following: 1. nature of work - what is the nature of work that graduates do on a day-to-day basis after completing MPP focussed on tech policy from a decent school 2.Pay scale range - approximate pay range in private sector for MPP graduates 3.Can International students work in the US Public sector ? 4.Will I be eligible for STEM OPT if i take this course?(I am an international student ) Many thanks in advance.
  4. Anyone else applied to either EPFL or ETH Zürich for the Cybersecurity MSc joint degree? Let's talk here
  5. I am confused between UNC Charlotte(CyberSecurity) and RIT(Computer Science or Computing Security). What I know, 1. UNCC is cheaper; 2. Charlotte is a bigger city with lots of Banking institutions(How will this make a difference to a Cyber Security/Computer Science student?) 3. UNCC can give assistantships only after you are in the 2nd semester; 4. RIT has plethora of jobs. Is that the case with UNCC as well? What I don't know, 1. UNCC vs RIT in terms of financial aid. - RIT has given me a 20% scholarship which can increase for the next year depending on my performance. 2. Brand Name of the University 3. Faculty support and quality of teaching 4. Job and internship opportunities 5. Competitive events that happen and scope for making connections with the industry(in Computer Science or related areas) 6. Location satisfaction and crowd 7. Campus life
  6. Hi All, I am going through a lot of graduate schools faculty lists and trying to find which professor has done research which I find interesting. Till now, I am able to obtain only a handful of such professors. Some professors have a good bio on the university website but have no footprint of a research paper anywhere. And in some cases, the name itself is so common that I find myself sifting through other lecturer's work. So would it be a good idea to start up a chat in order to get more details in their research area, assuming that I would be aiming for that university also? Thanks.
  7. I am interested in continuing my education in math and I know that I'd eventually like to work on brain-computer interface (theory and application) like mind uploading but was curious if there is a discipline that merges computational neuroscience, biostatistics, AI, and cybersecurity: providing a rigourous curriculum that can be used to pursue these fields. Any input would be greatly appreciated! This is ultimately to maximize my chances of being employed, having a successful career long term. If the opportunity exists, I would equally like to learn more about AI (neural net) and cybersecurity, and I currently enjoy the statistical, predictive modeling (machine learning) work that I do in genetics (similar to data science). I have thoroughly looked through gradcafe, stackexchange, quora, reddit and amassed math topics important in each field. I have highlighted common topics and would like to get you guys' input on the accuracy of this list. MATH TOPICS FOR EACH FIELD cybersecurity - applied number theory (abstract algebra), combinatorics (graph theory), algebraic geometry, information theory, asymptotic analysis, finite fields computational neuroscience - information theory, systems theory (nonlinear dynamics, dynamical systems), evolutionary algorithms (Monte Carlo), state space analysis, signal processing, probability theory AI/ML - neural networks, genetic algorithms, information geometry (Riemannian geometry, information theory, Fisher information), algebraic geometry, manifold geometry, learning theory (Fourier analysis), probability theory, game theory (topology, measure theory), graph theory, Model Free Methods RECOMMENDATIONS Some have recommended biostatistics programs because the curriculum offers a fair amount of 'theoretical' math work. Others, however, have said that biostatistics is a bad choice - sticking to CS or EE would be better. There is always the option to go into pure math but I am concerned about employability of a pure math PhD compared to an applied math PhD. I have played with the idea of work towards becoming a fellow of actuarial science simultaneously instead to gain statistical training - although this would be more oriented towards business, not science There is also the fact that I have a BS in biochemistry. I have done post-bacc work for CS fundamentals, calculus series, diff. eq., linear algebra, statistics, combinatorics, but there is a legitimate chance that I may not have sufficient background for fields (like statistics or applied math) other than biostatistics. I have looked heavily into degrees for applied/computational mathematics, scientific computing (UPENN, Rice, JHU, MIT, Stanford, Maryland) but it seems that these fields are more broadly focused on application reseach for physics, chemistry, biology (like engineering). I've also looked into mathematical biology (aka biomathematics) but it seems not a lot of schools have such a department - it's commonly housed under computational/systems biology. Thank you very much for your time and help!
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