Master of Applied Statistics
APST11M
Faculty:
Faculty of Science
Award:
Master of Applied Statistics (MAppStat)
Admission Requirements:
Bachelor degree in statistics or equivalent with a GPA of 2.5; professional experience will be taken into account
Study Mode:
Full-time, Part-time
Attendance Mode:
Internal, External
Candidature Length:
Full-time: 1 year
Study Period Offerings:
Session 1, Session 2
General requirements:
| Minimum number of credit points at 800 level or above | 32 |
| Completion of other specific minimum requirements as set out below |
In order to graduate students must ensure that they have satisfied all of the general requirements of the award: see the general requirements listed above.
Specific minimum requirements:
Credit points
800 level
Required
20cp from
Statistical Inference (4)
Statistical Theory (4)
Generalized Linear Models (4)
Statistical Design (4)
Bioinformatics (4)
Epidemiological Methods (4)
Multivariate Analysis (4)
Time Series (4)
Statistical Graphics (4)
Market Research and Forecasting (4)
Survival Analysis (4)
Data Mining (4)
Research Project (4)
Modern Computational Statistical Methods (4)
20
Stochastic Finance (4)
Required
8cp from
Mathematical Theory of Risk (4)
Quantitative Methods in Risk Management (4)
Data Analytics for Finance and Insurance (4)
Data Analytics Tools for Finance and Insurance (4)
Health Indicators and Health Surveys (4)
Clinical Biostatistics (4)
Linear Models (4)
Bioinformatics (4)
Longitudinal and Correlated Data (4)
Advanced Clinical Trials (4)
Bayesian Statistical Methods (4)
Applied Econometrics II (4)
Statistical Inference (4)
Statistical Theory (4)
Generalized Linear Models (4)
Statistical Design (4)
Bioinformatics (4)
Epidemiological Methods (4)
Multivariate Analysis (4)
Time Series (4)
Statistical Graphics (4)
Market Research and Forecasting (4)
Survival Analysis (4)
Data Mining (4)
Research Project (4)
Modern Computational Statistical Methods (4)
8
Stochastic Finance (4)
Balance of credit points required:
0
Electives
TOTAL CREDIT POINTS REQUIRED FOR THIS PROGRAM
32