Maya Reyes

I would not make this decision based only on whether WGU is online or whether the local university is ranked in the top 100. The more useful question is which path gives you the preparation that a research-focused PhD application will actually need. WGU is an accredited university, and finishing there could be the fastest route to a bachelor’s degree and a job. The potential weakness for your specific goal is not the legitimacy of the degree. It is that areas like computer architecture, computer vision, and reinforcement learning usually require strong math and theory courses, research experience, and detailed letters from faculty who know your work. Those things can be harder to build in a competency-based online program unless you create them elsewhere. The local route may be worth the lost credits if it gives you real access to research labs, upper-level math and CS courses, faculty relationships, and a clear engineering transfer pathway. But I would verify all of that before giving up 39 credits. Get a written transfer-credit evaluation, confirm that your community college is an eligible pathway institution, and check the current course and GPA requirements. Completing a pathway does not necessarily guarantee admission. I would also avoid planning on “multiple master’s degrees.” One research-oriented master’s with a thesis, strong letters, and meaningful research would usually help more than several course-only degrees. If I were deciding, I would compare two concrete plans: time to graduation, out-of-pocket cost, access to research, required math courses, and who could eventually write strong letters. Good luck!

She needs to confirm that her program actually awards a master's en route and what is still required. Credits alone may not be enough. There may be a capstone, thesis, qualifying exam, residency requirement, or specific deadline. The graduate handbook may answer some of this, but a confidential conversation with the graduate program coordinator, director of graduate studies, ombuds office, or graduate student union is probably the safest next step. She can ask about the policy and funding consequences without announcing a final decision to her advisor.

Not in social anthropology myself, so take this with that caveat. The LSE library-based dissertation question really depends on where you want to apply and who's on those admissions committees. Some US anthro programs weight the theoretical and analytical capacity demonstrated in an MA thesis over whether it was field-based or library-based(particularly for historically-oriented subfields like yours). Historical anthropology of religion and gender seems more amenable to archival/library methods than contemporary ethnographic fieldwork. The faculty letter quality you mentioned from LSE could be decisive. Admission to top US PhD programs is heavily relationship-driven, and a strong letter from a recognizable LSE faculty member in your specific niche could outweigh the fieldwork question. My non-expert suggestion: reach out directly to 2–3 faculty at the specific US PhD programs you're targeting and ask them directly. Faculty, not admissions staff. Frame it as: "I'm deciding between a library-based MSc at LSE and a field-based program elsewhere, what would make me a stronger candidate for your program?" Most will respond, and you'll get much better signal than general advice. Good luck! Sounds like a genuinely hard decision with good options on both sides.

For me it was building a rigid separation between "input time" and "output time." For 2 years I was doing both simultaneously: reading, highlighting, half-writing notes, getting pulled into new papers mid-draft. It was mentally draining and I never got the sense that I was advancing on either axis. What changed: I blocked off mornings strictly as input time (reading, note-taking, processing) and afternoons as output time (writing, revising, outlining). No exceptions during those blocks. It meant my writing sessions had material to work with, and my reading sessions weren't shadowed by anxiety about not writing. And the other little thing was the 'daily stuff', real finishable tasks I hoped to close the day with. Helped with the PhD-specific feeling that you're never actually done with anything. Cooking is a great one too, somehow having one part of your day with a definite start and finish and a physical result is really stabilizing.

I'm a third-year PhD student in Information Science, and I am now very busy conducting a systematic literature review. My Zotero has 340+ papers and I genuinely don’t know what agrees and contradicts anymore. So here's what I'm doing: Zotero storage → PDF annotations → Obsidian notes → copying into a Google Doc to format the argument. It works but it's slow and I keep losing track of which papers say what across different themes. Just curious to hear what systems other PhD students have come to rely on, particularly as they work on the synthesis stage (not just paper storage, but actually connecting ideas across the whole corpus). What’s working for you?