Job description
Prestige University invites applications for a full-time Lecturer in Data Science. This role emphasizes delivering engaging instruction, developing rigorous curricula, and mentoring students across undergraduate and graduate programs. The successful candidate will collaborate with faculty to advance data literacy, responsible data practices, and applied research within a dynamic, inclusive academic environment.
We value pedagogical excellence, commitment to student success, and a track record of professional practice or scholarly activity. This position offers opportunities for curriculum innovation, graduate supervision, and ongoing professional development.
Responsibility
- Deliver high-quality lectures and practical sessions for undergraduate and graduate Data Science courses, including core programming, statistics, and data analytics topics.
- Design and continuously update course curricula, assessments, and learning materials to align with program outcomes.
- Mentor and advise students; supervise capstone projects, theses, and research practica.
- Collaborate with colleagues to develop new courses, interdisciplinary programs, and co-curricular activities.
- Lead and contribute to online and hybrid course delivery, ensuring accessible and engaging learning experiences.
- Engage in program and department service, including committee work, accreditation readiness, and student support initiatives.
- Contribute to scholarship or professional practice; pursue grant opportunities and industry partnerships where appropriate.
Qualification
- PhD in Data Science, Computer Science, Statistics, or a closely related field; or a Master’s degree with significant relevant professional experience.
- Evidence of effective higher education teaching and commitment to inclusive pedagogy.
- Strong communication, interpersonal, and presentation skills; ability to engage diverse student populations.
- Experience designing data science curricula, assessments, and hands-on learning activities; familiarity with LMS (e.g., Canvas, Blackboard).
- Proficiency in programming and data tools (Python/R, SQL, data visualization, machine learning basics); ability to guide practical projects.
- Demonstrated scholarly activity or meaningful industry practice; willingness to supervise student research and pursue collaborations.
- Commitment to service and collegiality; ability to work effectively in cross-disciplinary teams and adapt to evolving program needs.