Lecturer - Data Science - School of Information

The School of Information at the University of California, Berkeley, invites applications for a pool of part-time, non-tenure track lecturers to teach online courses in the Master of Information and Data Science (MIDS) program. We seek exceptional instructors with professional and/or academic expertise who can lead small, highly interactive sections of around 15 graduate students in this innovative, online program.

Courses in the MIDS program are pre-designed and structured, allowing instructors to focus on delivering dynamic and engaging learning experiences while providing valuable expertise to enhance student outcomes.

About The I School

The Berkeley School of Information (I School) is a global leader in information and data, offering education and research that translates into new knowledge, practices, policies, and solutions. I School scholars thrive at the intersections of people, organizations, and societies with information, technology, and data. Faculty include disciplines such as information, computer science, economics, political science, law, sociology, design, and media studies.

The I School offers professional master's degrees and an academic doctoral degree. The MIDS program trains data scientists to manage and analyze big data in a high-touch online format.

Responsibilities Include:

• Delivering Engaging Online Classes: Plan and lead synchronous online sessions focusing on active learning, facilitate discussions, and collaborative activities.
• Facilitating Student-Centered Learning: Provide personalized support through virtual office hours and moderating discussions.
• Designing and Refining Course Materials: Develop and update materials, assignments, and assessments to align with program objectives.
• Providing Constructive Feedback: Deliver timely feedback on assignments to promote student growth.
• Maintaining Course Operations: Use learning management systems to manage course websites and communications.
• Collaborating with Faculty Teams: Participate in meetings to align practices and share strategies.
• Promoting Inclusion: Foster an inclusive learning environment that respects diverse perspectives.

Qualifications

Basic qualifications: A bachelor's degree or equivalent.

Additional qualifications: Minimum 4 years professional experience in the relevant field and 2 years teaching experience in higher education or professional development.

Preferred qualifications: An advanced degree in Data Science or related fields, 10+ years professional experience, excellence in teaching, familiarity with collaborative learning, and expertise in areas such as Applied Machine Learning or Data Visualization.

For more information, visit the program website.