Statistical Consulting Service: Rates

Academic Consulting Service Hourly Fees (before GST)

UofM Students (unfunded) ------- $50

UofM Students (funded) ---------- $70

Other University Students ------- $80

UofM Staff --------------------------- $100

Other University Staff/Not-for-profit organizations ----------- $120

For researchers, we encourage you to include statistical consulting charges in your research proposals and grant requests for substantial statistical support.

Industry, Business, Government and External Consulting Service Hourly Fee (before GST)

External clients ---------------- $150

We have customized packages for larger projects and these charges may be negotiable. For future clients, we encourage you to include statistical consulting charges in your budget for substantial statistical assistance.

Please note: Clients who miss an appointment or who cancel an appointment with fewer than 24 hours notice will be charged a fee of $30.

The primary use of consulting fees is to support the salaries of our consultants, including graduate students. Funds generated also contribute toward the payment of operating and miscellaneous expenses. Academic faculty staff are not paid from the funds.

(*) Usually on Fridays, we offer a 30 min free appointment for UofM students. The first/initial appointment must be booked in advance at consulting@stats.umanitoba.ca . For future consultations and appointments, the hourly rates are $50 for our unfunded students and $70 for our funded students.

Graduations

Congratulations to our October, 2018 graduates: Jenna Tichon (Ph.D.), Kanika Grover (M.Sc.), Mohammed Kamso (M.Sc.), Inesh Munaweera Arachchilage (M.Sc.), Joynob Siddiqua (M.Sc.), Shamsia Sobhan (M.Sc.).

Important Dates

September 19: Course Add Date - the last date to add a course in the revision period

September 19: Deadline to Apply Online to Graduate for February 2019 (most students)

October 3: Fee Payment Deadline Fall Term

Upcoming Seminars

Statistics seminar: Bo Li: “Spatially Varying Autoregressive Models for Prediction of New HIV Diagnoses” — Thursday, September 20 at 2:45 p.m., P230 Duff Roblin.

Statistics seminar: Mohammad Jafari Jozani: “Quantile Regression with Nominated Samples: An example in Osteoporosis Analysis” — Thursday, September 27 at 2:45 a.m., P230 Duff Roblin.

Statistics seminar: Yuliya Martsynyuk — Thursday, October 4 at 2:45 a.m., P230 Duff Roblin.

Statistics seminar: Darja Barr: “Evidence Driven Best Practices for Teaching the Mathematical Sciences” — Thursday, October 11 at 2:45 a.m., P230 Duff Roblin.

Where are they now?

Taraneh Abarin, Ph.D. (2009)

Yanqing Yi, Ph.D. (2008)