Associate Lecturer – MGQ 201- Introduction to Statistics for Analytics (HE4)

Singapore Institute of Management Group; Singapore; On-site; SGD 67,000 - 89,000; Full time

Job summary

The Singapore Institute of Management Group seeks candidates to teach MGQ 201- Introduction to Statistics for Analytics. The course equips students with statistical literacy, using Excel for data tasks and calculators for probability estimates and decisions.

Candidates should hold a Ph.D. or Master’s in a related field, with 2+ years tertiary teaching preferred and 5 years of related work experience a plus. Daytime weekday teaching is required; Blackboard/D2L familiarity is a plus.

Qualifications

• Ph.D. or Master’s degree in related discipline from a reputable university.
• At least 2 years of teaching experience at the tertiary level 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.

Responsibilities

• Teach MGQ 201- Introduction to Statistics for Analytics to enrolled students.
• Cover descriptive statistics, probability distributions, CLT, normal distribution applications, sampling, confidence intervals and hypothesis testing.
• In the first part, use Microsoft Excel to compute and convey information; in the second part, use calculators to estimate probabilities and inform decisions.
• Assess students and provide timely feedback.
• Course design and implementation aligned with UB syllabus and textbook.

Skills

Statistics knowledge

Lecture delivery

Course design

Education

Ph.D. or Master's degree in related discipline

Tools

Blackboard

D2L

Job description

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.