Associate Lecturer – Data Analysis and Decision Making (HE4)

MGTSC 501 – Data Analysis and Decision Making
This course begins with a survey of graphical and numerical techniques available for studying and describing data. Following an introduction to probability distributions, an overview of statistical inference for means and proportions is provided. Regression, analysis of variance and decision analysis are then utilized to analyze data and support decision making. Time series models are also briefly discussed. The data and decisions analyzed throughout the course will be representative of those commonly encountered by managers. During the required lab sessions, spreadsheet analysis of data, Monte Carlo simulation and the use of software for statistical analysis will be presented. 

Job Requirement:
– A Ph.D or Master’s Degree in related discipline from a reputable university  
– 5 years of relevant work experience in the domain area
– At least 2 years of relevant teaching experience at the tertiary level  
– Familiar with learning management systems
– Strong interpersonal, presentation and written and verbal communication skills 
– Experience working or teaching in a multicultural or diverse environment is highly preferred

We regret that only shortlisted candidates will be notified.