MGQ 201- Introduction to Statistics for Analytics

This course is designed to introduce students to statistical concepts and applications and cultivate student statistical literacy. Topics that are covered include descriptive statistics, probability distributions, the Central Limit Theorem, applications of the normal distribution, sampling, confidence intervals, and hypothesis testing. In the first part of the course, students will become proficient in using Microsoft Excel to compute and convey information; in the second part of the course, students will use calculators to estimate probabilities, perform statistical functions, and inform decisions.

Job Requirement

•  A Ph.D or Master's Degree in related discipline from a reputable university.

•  At least 2 years of relevant teaching experience at the tertiary level is preferred

•  5 years of relevant work experience will be an added advantage

•  Course design and implementation based on UB syllabus and textbook

•  Assessment of students

•  Must be available to teach daytime on weekdays

•  Familiarity with Blackboard/ D2L is a plus

We regret that only shortlisted candidates will be notified.