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Lecturer: Faculty of Management Studies

ADvTECH

Gqeberha

On-site

ZAR 200 000 - 300 000

Part time

Today
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Job summary

A higher education provider in Gqeberha is seeking a qualified Lecturer for the Statistics module. The role involves preparing and delivering lectures, engaging students, and ensuring active learning. Ideal candidates should possess an Honours degree in a business-related field with Statistics or Mathematics. This independent contractor position requires lecturing experience and knowledge in data analytics. Working hours are weekdays from 08:20 to 16:45, with face-to-face classes on campus.

Qualifications

  • Ideal qualifications include an Honours degree in Business Management or IT Management plus Statistics or Mathematics.
  • Alternatively, an Honours degree in Computer Science with Mathematics or Statistics is acceptable.
  • Bachelor’s degree with Business Management/IT Management plus an MBA or postgraduate diploma is required.

Responsibilities

  • Prepare and deliver lectures and engage students in active learning.
  • Update the learning management system and provide feedback to students.
  • Engage and prepare students for assessments and monitor student engagement.
  • Attend and participate in academic meetings and development workshops.
  • Complete academic professional development interventions.

Skills

Lecturing experience in Business Analysis
Mathematical modelling using spreadsheets
Data analytics
Data modelling using spreadsheets

Education

Honours degree in Business-related fields
Honours degree in Computer Science
Bachelor’s degree with Business Management/IT Management
MBA or postgraduate diploma in a related field
Job description
Direct Reporting Line:

Head Management Studies

Emeris Nelson Mandela Bay Campus has a vacancy for a Lecturer in the following module: Statistics
Key Performance Areas:
  • Prepare and deliver lectures and engage students in active learning based on module-specific requirements in line with module pacers
  • Update the learning management system and provide feedback to students
  • Engage and prepare students for formative and summative assessments, identify at risk students and monitor student engagement
  • Attend and participate in all academic meetings and development workshops
  • Complete a set number of academic professional development interventions per academic cycle (one year) that contribute to the improvement of the Brand’s teaching and learning practice and personal professional academic status
Minimum Qualification Requirements:

Ideal:

  • An Honours degree in one of the Business-related fields with Business Management or IT Management AND Statistics or Mathematics

Alternatively:

An Honours degree in Computer Science with Mathematics or Statistics

OR

Bachelor’s degree with Business Management /IT Management or a similarly related field to the third-year level PLUS an MBA or a postgraduate diploma in a related field.

Minimum Work Experience Requirements:
  • Lecturing experience in Business Analysis/Mathematical modelling using spreadsheets.
  • Work experience in data analytics and/or data modelling using spreadsheets.
Working Conditions:
  • Please note that this is an independent contractor (IC) position.
  • This module is for Bachelor of Commerce students
  • Please note that lectures take place between 08:20 and 16:45 on weekdays.
  • Classes are conducted face–to–face on campus.
Application Response:
  • Due to the high volume of CVs received, please note that personal contact with all applicants may not be feasible. Only candidates whose qualifications and skills closely align with the position requirements will be contacted for interviews.
Technical Support:
  • Should you experience technical difficulties applying for the position, kindly use the following URL for further assistance: https://hire.simplify.hr/ContactUs

Emeris is an Equal Opportunity Employer. However, preference may be given to previously underrepresented groups in accordance with the South African Employment Equity Act. The company reserves the right to close or place the vacancy on hold at any time, without prior notice.

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