SCS - Statistical Consulting Service

SCS Clients' Testimonials:

"... We cannot emphasize enough how important Statistical Consulting Service (SCS) have been to our project. Dr Pereira’s and Dr Liang’s expertise was invaluable. Without their assistance, we could not have conducted such a thorough statistical analysis of our data..." by The University of Manitoba Library Staff.

" ... They introduced us to a wide range of statistical software that we were not aware of and which contributed to the quality of our research. Additionally, their interest and enthusiasm were uplifting - we always left their office feeling encouraged and inspired. Dr Pereira and Dr Liang can be assured that we will continue to promote their services to our colleagues...” by the Faculty of Science Research Staff.

The SCS Consultancy

The SCS is operated by the Consulting Team at the Department of Statistics in the Faculty of Science. In addition to providing assistance to academic staff and students on campus, consultants of the SCS may:

  • participate in collaborative research projects
  • conduct research in statistical methodology
  • act as a resource for clients from government and industry
  • provide training in statistical consulting to graduate students in statistics

How can SCS provides you with the best quantitative/bio/statistical advice? For instance, you may require support or assistance with:

  • Casual Inference
  • Classification and Prediction (Machine Learning)
  • Data Visualization
  • Experimental Design
  • Meta-Analysis
  • Model Fitting
  • Survey Design and Data Analysis
  • Times series
  • Training on R, SAS, and SPSS
  • all forms of Data Analysis and Interpretation of Results.

The SCS Seminars and Workshops are presented on a variety of statistical topics. They have been developed and conducted by consultants for research groups and organizations.

Please see the Booking an Appointment page if you are interested in contacting the consulting service, and like us on SCS Facebook .

For further information, please contact us at

Important Date

February 18 – February 22: Reading Week (No classes)

Upcoming Exam

STAT 1000 Midterm
Monday, March 4 at 5:30 p.m.

Upcoming Seminars

Statistics seminar: Aleeza Gerstein: “Levelling up R for Statistical Research and Teaching (Vignettes from RStudio::Conf)” — Thursday, February 28 at 2:45 p.m., P230 Duff Roblin.

Statistics seminar: Jame Fu: “Distribution of number of Levels in [s]-specified random permutation: A finite Markov Chain Imbedding Approach” — Thursday, March 7 at 2:45 p.m., P230 Duff Roblin.

Statistics seminar: Alison Gibbs: “Teaching Statistics in a Data Science World” — Thursday, March 21 at 2:45 p.m., P230 Duff Roblin.

Where are they now?

Llwellyn Maria Armstrong, M.Sc (1992)

Julie Mojica, M.Sc. (2003)