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Lecturer - Module Coordinator – Data Science

Lecturer - Module Coordinator – Data Science

StadioWorkFromHome, Mpumalanga, South Africa
5 days ago
Job description

Overview

Join or sign in to apply for the Lecturer - Module Coordinator – Data Science role at Stadio

Location : Durbanville; Remote work : Only remote work; Education level : Masters; Job level : Mid / Senior; Type : Permanent; Reference : #MCDataSci; Company : Stadio

Job Description

Key Roles and Responsibilities

  • Study material development : Oversee and manage the development or review of study guides (full or wrap-around)
  • Seek feedback from all stakeholders and keep a record of required changes to study guides in anticipation of the review cycle
  • Monitor the appropriateness of the prescribed textbook and editions
  • Ensure continued alignment between study guide and textbook, where applicable
  • Update study guides to cater for new textbook editions

Assessment

  • Draft all formal assessments for allocated modules
  • Consider internal and external pre-moderation feedback and implement changes as required
  • Conduct internal pre-moderation for modules in field of expertise
  • Conduct annual meetings with all campus lecturers to discuss the assessment strategy
  • Appoint suitably qualified internal and external moderators
  • Brief markers and moderators, and provide content support during the marking process
  • Mark a prescribed minimum number of assessments (+- 3) to fine tune marking guideline / memorandum
  • Consider markers’ reports and decide on appropriate action
  • Consider moderators’ reports and decide on appropriate action, in consultation with campus lecturers, HOS and subject coordinator (if any)
  • Conduct post-assessment meetings with all campus lecturers to reflect on success / concerns with assessments
  • Consider and analyse cross-campus success rates
  • Sign off on assessment results
  • Actively participate in the investigation / management of Red / Fire module status
  • Learning Journey Design

  • Conduct research in the field of expertise and / or learning design in the field of expertise
  • Attend both internal and external training sessions, workshops, and conferences to enhance skills in module design and assessment
  • Stay informed about emerging trends in higher education and instructional methodologies
  • Engage with industry, professional networks and associations to enhance collaboration and knowledge sharing
  • Actively collaborate with campus lecturers to continuously enhance the learning journey
  • LMS course environment

  • Design and draft materials needed for the course environment (announcements, etc.)
  • Populate and maintain the Canvas Blueprint course environment for modules owned
  • Lecturer and student support

  • Develop and deliver at least two lectures per module per semester for CL students, online live
  • Record at least two online lectures for DL students per semester per module
  • Deliver guest lectures in the field of expertise on STADIO modules as appropriate
  • Research and Professional Development

  • Conduct research in the field of expertise and / or learning design in the field of expertise
  • Attend both internal and external training sessions, workshops, and conferences to enhance skills in module design and assessment
  • Stay informed about emerging trends in higher education and instructional methodologies
  • Engage with industry, professional networks and associations to enhance collaboration and knowledge sharing
  • Minimum Requirements And Qualifications

  • Master’s degree in Data Science, Statistics, Computer Science, or a related discipline.
  • A Doctoral degree will be an advantage
  • At least 5 years’ Higher Education experience in Data Science or Analytics.
  • Strong knowledge of Python, R, machine learning, statistical modelling, and big data tools.
  • Industry or research experience in applying data science to real-world problems.
  • Key Attributes

  • Ability to balance theoretical foundations with applied industry-relevant case studies.
  • Strong quantitative and computational thinking.
  • Ability to coordinate modules that articulate into postgraduate Data pathways.
  • Engagement with professional and industry networks to keep content current.
  • Posted on 19 Sep 11 : 18, Closing date 5 Oct

    Seniority level

  • Mid-Senior level
  • Employment type

  • Full-time
  • Job function

  • Education and Training
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    Lecturer • WorkFromHome, Mpumalanga, South Africa

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