Programme Coordinator & Lecturer : Postgraduate Diploma In Data Science

Stadio Higher Education; Gauteng; On-site; ZAR 300 000 - 400 000; Full time

Job summary

An educational institution in South Africa is seeking a Programme Coordinator & Lecturer for the Postgraduate Diploma in Data Science. The role involves programme design, teaching, quality assurance, and student support. Candidates must have a Master's degree and teaching experience in Higher Education, with strong skills in Data Science and related fields. This full-time position offers the opportunity to engage in research and community projects.

Qualifications

• At least three years' experience teaching in Higher Education.
• Extensive knowledge and qualifications in Statistics, Machine Learning, Deep Learning, and Data Science.
• Preferably industry experience working as a Data Scientist or Data Engineer.

Responsibilities

• Design and deliver engaging lectures.
• Provide timely feedback on assignments and exams.
• Participate in the ongoing development of programmes and curriculum.
• Engage in research activities and contribute to community projects.
• Ensure compliance with relevant policies and SOPs.

Skills

Teaching in Higher Education

Curriculum development

Quality assurance

Statistics

Machine Learning

Deep Learning

Data Science

Effective Communication

Education

Master's degree in Computing / Computer Science / Data Science

Doctoral degree in Computing / Computer Science / Data Science (NQF level 10)

Job description

Programme Coordinator & Lecturer: Postgraduate Diploma in Data Science

Programme design – quality teaching and learning, relevance of curriculum, including graduate skills and attributes for the 21st century and the world of work. Admission requirements (development and implementation thereof). Teaching methods and delivery of the programme. Assessment and moderation practices. Programme quality assurance (including ensuring that feedback from student surveys, moderators' reports, Stakeholder Committees, etc., is fed back into the curriculum improvement) and engage relevant role players for improvement initiatives.

Cyclical Programme Review, as well as continuous improvement. Financial management of the programme. Professional development of academic staff. Industry liaison and networking. Lecturing and Assessment. Deliver engaging lectures and assess students in accordance with the accredited programmes and module requirements.

Provide timely feedback on assignments, exams, and other assessments to facilitate student learning and growth. Learning Management System (LMS). Independently utilise the learning management system and collaborate with colleagues to design, develop, and deliver modules effectively.

Participate in the ongoing development of programmes and curriculum, incorporating current educational trends and best practices.

Internal Moderation. Undertake assigned internal moderation responsibilities to ensure assessment validity and reliability.

Academic Support. Provide academic guidance and support to students, addressing their concerns and queries promptly.

Quality Assurance. Complete all Quality Assurance requirements related to modules and programmes to ensure compliance with academic standards.

Research and Community Engagement. Engage in research activities and contribute to community projects, fostering a culture of continuous learning and positive societal impact.

Effective Communication. Maintain open and effective communication with students, colleagues, line managers, and management members.

Ensure compliance with all relevant policies and Standard Operating Procedures (SOPs) while maintaining administrative efficiency.

Participation and Collaboration. Participate in meetings, workshops, and relevant committees as requested by management.

Administrative Functions & Qualifications. Master's degree in Computing / Computer Science / Data Science. At least three years' experience teaching in Higher Education. Extensive knowledge and qualifications in Statistics, Machine Learning, Deep Learning, and Data Science. Preferably: Doctoral degree in Computing / Computer Science / Data Science (NQF level 10). Skills preferably industry experience working as a Data Scientist or Data Engineer. Seniority level: Not Applicable. Employment type: Full-time. Job function: Education and Information Technology. Industries: Higher Education.