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Computing Lecturer information

See New York salary details

$29.5K

$68.5K

$99K

How much do computing lecturer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for computing lecturer in New York is $68,537.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,900.00 and $80,400.00 per year, depending on experience, location, and employer.

What is a computing lecturer?

Computing Lecturers are educators who teach courses related to computer science, information technology, and related fields at colleges or universities. They design and deliver lectures, develop curriculum, assess student work, and may also conduct research or supervise student projects. Their role is critical in preparing students for careers in computing by providing both theoretical knowledge and practical skills. Computing Lecturers often stay up-to-date with the latest technology trends and advancements to ensure their teaching remains relevant.

What are the key skills and qualifications needed to thrive as a computing lecturer, and why are they important?

A Computing Lecturer should have a strong background in computer science or a related field, often supported by at least a master's degree and teaching experience. Familiarity with programming languages, learning management systems (LMS), and educational technologies is typically required. Excellent communication, presentation, and mentoring skills help engage students and foster a positive learning environment. These competencies are essential for effectively delivering complex material, supporting student success, and staying current in a rapidly evolving discipline.

What are some common challenges computing lecturers face when designing course materials, and how can they address them?

Computing Lecturers often face the challenge of keeping course materials up-to-date with rapidly evolving technologies and industry practices. Balancing foundational concepts with practical, current examples requires continuous research and adaptation. Collaborating with industry partners, attending professional development workshops, and integrating student feedback can help lecturers ensure their curriculum remains relevant and engaging. Additionally, leveraging open educational resources and active learning strategies can address diverse student needs and learning styles.

What is the difference between Computing Lecturer vs Computer Science Professor?

AspectComputing LecturerComputer Science Professor
Required CredentialsBachelor's or Master's in Computing or related field; teaching certification often preferredDoctorate (PhD) in Computer Science or related field; extensive research experience
Work EnvironmentHigher education institutions, teaching undergraduate or diploma coursesUniversities, research institutions, teaching undergraduate and graduate students
Employer & Industry UsageColleges, technical institutes, universitiesUniversities, research universities, academic research centers

Computing Lecturers typically hold a bachelor's or master's degree and focus on teaching computing courses at colleges or technical institutes. In contrast, Computer Science Professors usually have a PhD and engage in both teaching and research at universities. Both roles involve educating students, but the level of research and academic qualification differs.

What are popular job titles related to Computing Lecturer jobs in New York?

For Computing Lecturer jobs in New York, the most frequently searched job titles are:

What job categories do people searching Computing Lecturer jobs in New York look for?

The top searched job categories for Computing Lecturer jobs in New York are:

Computing Lecturer jobs near you
Infographic showing various Computing Lecturer job openings in New York as of August 2026, with employment types broken down into 56% Full Time, and 44% Part Time. Highlights an 100% In-person job distribution, with an average salary of $68,537 per year, or $33 per hour.

Adjunct Lecturer, Cloud Computing (On-Campus, Fall '26)

Columbia University

New York, NY • On-site

$11K - $13K/mo

Part-time

Re-posted 12 days ago

Job description

Company Description
Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds in pursuit of greater human understanding, pioneering new discoveries, and service to society.
The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through seventeen professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good.
Job Description
The School of Professional Studies seeks experienced industry professionals to serve as part-time Lecturer for a graduate-level course in Cloud Computing. Lecturers are the primary instructors for courses and an invaluable component of the faculty community.
This course introduces analytics students to applied cloud computing concepts and practices ranging from infrastructure and administration to services and applications. The course is primarily focused on the development of practical skills in utilizing cloud services to build distributed and scalable analytics applications.
Responsibilities
  • Lead class lectures, instructional activities, and classroom discussions. Attend all class sessions.
  • Monitor and address student concerns and inquiries.
  • Evaluate and grade student work and assessments.
  • Conduct office hours.

Qualifications
Columbia University SPS operates under a scholar-practitioner faculty model, which
enables students to learn from faculty possessing outstanding academic training as well
as a record of accomplishment as practitioners in an applied industry setting.
Requirements
  • Ph.D. in Computer Science, Software Engineering, or related field
  • Solid knowledge and academic foundation in distributed computing, UNIX operating system fundamentals and shell programming
  • Experience with the Linux operating system, cloud virtualization and storage systems
  • 3+ years of professional experience with at least one of the commercial cloud services (Google Cloud Platform, Amazon Web Services, Microsoft Azure, or IBM Cloud)
  • Knowledge of Python programming language

Preferred Skills & Experience
  • University teaching experience
  • Experience with setting up and configuring Google Cloud Platform services
  • Knowledge of distributed computing and orchestration frameworks, such as Apache Spark and Kubernetes

Additional Information
Please submit a resume inclusive of university teaching experience.
Columbia University is an Equal Opportunity/Affirmative Action employer.
All your information will be kept confidential according to EEO guidelines.
Salary Range: $11,000-$13,000 per semester length course

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