Jump to content

paroisse

Members
  • Posts

    5
  • Joined

  • Last visited

Recent Profile Visitors

The recent visitors block is disabled and is not being shown to other users.

paroisse's Achievements

Decaf

Decaf (2/10)

1

Reputation

  1. Yes. If you have a POI who has agreed to supervise you (and I assume fund you), it's almost guaranteed that you'll get accepted by the graduate committee.
  2. Thought I'd start a thread for those who applied to Waterloo this year. The Waterloo MHI thread seems to get a lot of attention every year - curious as to why it's so popular. I applied for both MASc and MEng in SYDE. Had an interview with a POI in January. I'm still considering the MEng program though. Who else has applied? What areas? How much funding are you looking at? Etc.
  3. Canadian here. I got an offer from the University of British Columbia MSDS program last week. Anyone have any thoughts on this program? It's 10 months long and costs 30k which is quite steep in Canada (my entire undergrad costed ~20k). The program is course-based and starts from quite a low level (eg. intro to Python and stats 101). About me: Graduating with BSc Civil Engineering in May, currently a DS intern at an early-stage start-up. Goal is to go into industry and possibly switch to SWE eventually. My other option would be to do a thesis-based MASc Systems Design Engineering at UWaterloo. I'm in contact with a professor willing to fully fund me for research in remote sensing / deep learning, though I don't have an official offer yet. Apologies if this is not the right thread for this. Let me know and I'll move it.
  4. Hi! I'll be applying for Master's programs shortly and would like to have an idea of where I stand as a student attempting a bit of a career-switch. I'll be graduating with a BSc in Civil Engineering, but would like to get a Master's in a more data/programming focused field. My career goals would be to work as a data scientist in more of a tech/engineering settings rather than in a business intelligence setting (see: companies such as Urthecast, Urbanlogiq, Geotab...). I'm planning to apply for DS/CS/stats programs but I'll also be applying to engineering programs that make use of data analytics (eg. IE, Systems Design, ECE - although I'm not confident I could get into any ECE program with a Civil undergrad). With my background I'm not sure if I have a better chance of getting into CS/stats or non-CE engineering programs... I'm still undecided about whether I want to do a course-based (M.Eng) or thesis-based (MSc) program. I have no desire to go into academia so I'm leaning towards the M.Eng (usually self-funded), but I also think I might enjoy a research-based Master's more than just taking more courses. Undergrad Institution: Mid-sized Canadian university Undergrad Major: Civil Engineering GPA (Undergrad): 4.11 (out of 4.5) Type of Student: Domestic Relevant Courses(Undergraduate): Calculus 1-4, Linear Algebra, Numerical Methods, Systems Analysis, Computer Programming 1, Statistics 1, and Statistical Methods (data analysis with R). Relevant Research: Not super relevant, but I worked as a research assistant for a summer work term in a hydraulics lab - mostly doing menial tasks assisting grad students in their research. I will also be completing an undergraduate thesis in my senior year related to modelling a city-wide system of autonomous vehicles. Recs: None yet but there are a few professors and bosses who I believe would write strong letters. Relevant Work Experience: I will have completed three summer work terms by my graduation: Research work term as described above. Engineering Intern at a large energy utility which involved some basic data analysis and programming (mostly Excel/VBA). (Current) Data Science Intern at a local start-up which is pretty much the job I'm aiming for long term. Lots of modelling, data cleaning/analysis, programming etc. The company is owned by two university professors and is currently in the R&D phase, so I'm also being exposed to research work (reading academic papers, etc.). I'm also continuing part-time here during the fall term. Programs Applying: Hoping for big name Canadian schools, eg. UToronto MSc or M.Eng Industrial Engineering, UWaterloo MSc or M.Eng Systems Design, Concordia MSc Industrial Engineering Current status: On a summer work term with two semesters left in my undergrad.
  5. Hi! I'll be applying for MS programs shortly and would like to have an idea of where I stand as a somewhat unconventional applicant. My career goals are to work as a data scientist in more of a tech/engineering settings rather than in a business intelligence setting (see: companies such as Urthecast, Urbanlogiq, Geotab...). I'm particularly interested in geospatial analysis, so I'm planning on applying for MS programs in statistics, industrial engineering, data science (maybe even geography?). Undergrad Institution: Mid-sized Canadian university Undergrad Major: Civil Engineering GPA (Undergrad): 4.11 (out of 4.5) Type of Student: Domestic Relevant Courses(Undergraduate): Calculus 1-4, Linear Algebra, Numerical Methods, Systems Analysis, Computer Programming 1, Statistics 1, and Statistical Methods (data analysis with R). Relevant Research: Not super relevant, but I worked as a research assistant for a summer work term in a hydraulics lab - mostly doing menial tasks assisting grad students in their research. I will also be completing an undergraduate thesis in my senior year related to modelling a city-wide system of autonomous vehicles. Recs: None yet but there are a few professors and bosses who I believe would write strong letters. Relevant Work Experience: I will have completed three summer work terms by my graduation: Research work term as described above. Engineering Intern at a large energy utility which involved some basic data analysis and programming (mostly Excel/VBA). (Current) Data Science Intern at a local start-up which is pretty much the job I'm aiming for long term. Lots of geospatial modelling, data cleaning/analysis, programming etc. The company is owned by two university professors and is currently in the R&D phase, so I'm also being exposed to research work (reading academic papers, etc.). I'm also continuing part-time here during the fall term. Programs Applying: Haven't quite decided yet, but programs I have tabbed are: UToronto MS Industrial Engineering (in particular the Data-Driven Decisions Lab), UWaterloo MMath Applied Math, UWaterloo MSc Statistics, UBC MSc Statistics, UBC MSDS Data Science etc. Current status: On a summer work term with two semesters left in my undergrad.
×
×
  • Create New...

Important Information

This website uses cookies to ensure you get the best experience on our website. See our Privacy Policy and Terms of Use