Statistics
Location: Chase Building
Halifax, NS B3H 4R2
Telephone: (902) 494-2572
Fax: (902) 494-5130
Website:
http://www.mathstat.dal.ca/~statdir
Chair of the Department
Dilcher, K., PhD (Queens)
Director of Division
Gu, H., MSc (Peking), Phd (Hong Kong)
Graduate Coordinator
Hamilton, D.C., MA, PhD (Queen’s)
Professor Emeritus
Field, C.A., MSc, PhD (Northwestern). Robust statistics, data analysis, bioinformatics
Professors
Hamilton, D. C., MA, PhD (Queens). Linear and nonlinear regression, data analysis, statistical genetics
Smith, B., MSc (Calgary), PhD (Berkeley). Time series analysis, data analysis, statistical genetics
Susko, E.A., MSc (UBC), PhD (Waterloo). Molecular evolution, bioinformatics, mixture models, machine learning, data analysis
Thompson, K., MSc (Manchester), PhD (Liverpool). Joint appointment with Oceanography. Time series analysis, applications to oceanography
Associate Professors
Bielawski, J.P., MA (Hofstra), PhD (Texas A & M Univ), Joint appointment with Biology. Adaptive molecular evolution, Markov models of molecular evolution, genomics, bioinformatics
Dowd, M., MBA, MES, PhD (Dalhousie). Statistical inverse problems, time series, spatial analysis, stochastic dynamic models
Gu, Hong, MSc (Peking), PhD (Hong Kong), Data mining, bioinformatics
Herbinger, C. MSc (Paris), PhD (Dal). Joint appointment with Biology. Statistical genetics
Zhao, Y., MSc (Western Kentucky), PhD (British Columbia). Joint appointment with Management
Assistant Professors
Beiko, R., PhD (Ottawa), joint appointment with Computer Science
Flemming, J. (Mills), MSc (Tuns), PhD (Dal), Environmental statistics, robustness, data analysis (longitudinal , tracking)
Adjunct Professors
Astatke, T., PhD (Queen's), NS Agricultural College
Cole, D.E.C., PhD (McGill), University of Toronto
Gupta, R.P., MSc (Agra), PhD (Delhi), Dalhousie University
Millar, M., MSc, PhD (Dalhousie), Mt. St. Vincent
Sarhan, A. (Mansoura)
Yung, W. (Statcan)
Statistical Consultant
Stewart, S., MMath (Waterloo)
Please refer to the entry for the Department of Mathematics and Statistics in this calendar for a full listing of the members of the Department and information on other programs offered by the Department.
The department offers programs leading to the degrees of MSc and PhD in the following areas: statistical inference, robust statistics, data mining, bioinformatics, data analysis, multivariate analysis, linear and nonlinear regression, time series analysis, statistical genetics, environmental statistics, information theory.
I. Admission Requirements
Candidates must satisfy the general requirements for admission to the Faculty of Graduate Studies.
Candidates will normally be expected to hold a degree recognized by Dalhousie University as the equivalent of a Bachelor's degree with Honours in one of its own faculties.
GRE Aptitude and Advanced Mathematics scores are recommended for all applicants for graduate studies whose undergraduate work has been completed outside of Canada, and TOEFL scores are required for applicants whose native language is not English. Valid score reports must be received directly from the Educational Testing Service. To ensure consideration for scholarship funds, application should be made by January 31.
II. Degree Programs
A. Master of Science (MSc)
Requirements
| | | |
| 1. | At least three full-credit classes, at the graduate level to be chosen in consultation with the graduate coordinator or their supervisor. In addition, students whose preparation is deficient will be required to complete appropriate classes which will be designated by the adviser. |
| 2. | Attendance and participation in seminars. |
| 3. | A satisfactory thesis. |
| 4. | Students are required to give an oral presentation of their thesis and at that time to answer questions about the thesis. This presentation will be made after the thesis is in the hands of the student's committee and will be taken into account when the committee makes its decision. |
B. Doctor of Philosophy (PhD)
Requirements
NOTE: The minimum and maximum time required to complete this program are set out in Section 1.3.2 and 6.1 in the Faculty of Graduate Studies regulations.
| | | |
| 1. | At least two full-credit classes chosen in consultation with the graduate coordinator or their supervisor. |
| 2. | Comprehensive examinations which are jointly written by all incoming PhD students, on a date specified by the Graduate Coordinator, in May of the year of admission. |
| 3. | Attendance and participation in seminars. |
| 4. | Candidates must write and orally defend a thesis proposal within 12 months of successful completion of comprehensive examinations. |
| 5. | Preparation and defence of a satisfactory research thesis. |
III. Class Descriptions
A selection of the following graduate classes will be offered subject to demand.
STAT 5001.03: AARMS Summer Course I.
STAT 5002.03: AARMS Summer Course II.
STAT 5066.03/4066.03: Advanced Statistical Theory I.
STAT 5067.03: Advanced Statistical Theory II.
STAT 5070.03/4070.03: Multivariate Distributions.
STAT 5100.03/4100.03: Survival Analysis.
STAT 5300.03/4300.03: Topics in Statistics and Probability.
STAT 5350.03/4350.03: Applied Multivariate Analysis.
STAT 5360.03/4360.03: Robust Statistics.
STAT 5370.03/4370.03: Stochastic Processes.
STAT 5390.03/4390.03: Time Series Analysis I.
STAT 5410.03/4410.03: Advanced Topics in Time Series Analysis.
STAT 5500.03: Topics in Advanced Statistics.
STAT 5550.03: Longitudinal Data Analysis.
STAT 5570.03/4570.03: Statistical Genetics.
STAT 5630.03: Statistical Methods in Molecular Evolution.
STAT 5640.03: Advanced Analysis of Complex Survey Data.
STAT 5700X/Y.03: Statistical Consulting Practicum.
STAT 5750.03: Statistical Data Mining.
STAT 5990.03: Intermediate Statistics for Health Sciences.
STAT 9500.00: Thesis Proposal.
STAT 9520.00: Comprehensive Examinations.
