External Adjunct Lecturers Business Management and Data Science courses UAE

Your profile

• Relevant professional experience in the fields of Business Management/Data Science
• Place of residence must be in or near Dubai/UAE (lectures must take place on-site)
• Completed relevant university studies (at least a Master’s degree, preferrable PhD)
• Teaching experience at universities is preferred
• Strong teamwork and communication skills
• Organizational skills and willingness to work hard
• Experience working in international environments welcome
• Must be eligible to work as an Adjunct Lecturer on your own visa in the UAE

We’re offering you:

• A contract as an external adjunct lecturer at UE Dubai
• A varied, innovative and international working environment in collaboration with partner universities and cooperation partners
• The chance to develop yourself, both personally and professionally

Interested?

Then we look forward to hearing from you. Please send your application via e-mail to: careersad or apply via Personio or Linked In.

Your application should include the following documents: CV, Cover Letter, References and possible start date.

As an employer, we are committed to equal opportunity and support for minorities. We do not discriminate based on ethnic origin, skin colour, religion, national origin, disability or legally protected status.

External Adjunct Lecturers for Business Management and Data Science courses in Dubai, UAE

The teaching load comprises 1-3 courses or 3-9 SWS (teaching units with each unit being 45 min.).

The opportunity:

To become an adjunct lecturer at a University of Applied Sciences in Dubai, UAE and to share your knowledge and passion with students from all over the world.

Courses/Modules to be taught (minimum 3 out of 17):

• Economics
• Quantitative & Qualitative Methods
• Operations (MBA)
• Strategic Vision (MBA)
• Value Chain Management
• Digital Work / Lab
• Digital Business
• Leadership Management (MBA)
• Innovation Management (MBA)
• Customer Environment (MBA)
• Quantitative Methodologies (MBA)
• Programming
• Mathematics & Statistics
• Employability
  
  Skills:
  
  Business English
• Employability:
  Soft Skills
• Data Analytics
• Data Engineering