computer science lecturer
Computer science lecturers are subject professors, teachers, or lecturers who instruct students who have obtained an upper secondary education diploma in their own specialised field of study, computer science, which is predominantly academic in nature. They work with their university research assistants and university teaching assistants for the preparation of lectures and of exams, grading papers and exams and leading review and feedback sessions for the students. They also conduct academic research in their field of computer science, publish their findings and liaise with other university colleagues.
computer science lecturer computer science lecturers are subject professors, teachers, or lecturers who instruct students who have obtained an upper secondary education diploma in their own specialised field of study, computer science, which is predominantly academic in nature. The role shows moderate AI exposure (0.55 on a 0-1 scale) — some tasks are being automated but the role adapts. The most in-demand skills for the role include Haskell, Erlang, SAS language, Ruby (computer programming), Common Lisp.
Pay in the UK
UK: median £52,835 a year for Higher education teaching professionals (ONS ASHE 2025, full-time)
Middle half of full-time jobs: £42,062 to £66,191 a year
UK jobs are grouped differently; this is the closest UK occupation group (ONS SOC 2020 2311). ONS rates this estimate precise. 2025 provisional figures; ONS revises them a year later. Source: ONS Annual Survey of Hours and Earnings (Open Government Licence)
Pay in India (occupation group)
Average monthly earnings of salaried employees in the occupation group “Professionals” in India, from the Government of India's Periodic Labour Force Survey (January–December 2025). It covers everyone in this group, not only computer science lecturer, and it is not US pay converted to rupees.
Source: MoSPI (Government of India), Periodic Labour Force Survey Annual Report 2025, Table 51 — average wage/salary earnings of regular wage/salaried employees, NCO-2015 division 2. Official India data gives one average per occupation group: there are no official India figures for single careers, experience levels or cities. Read the report
Top skills
Knowledge you'll build
- Computers and Electronics
- Education and Training
- English Language
- Customer and Personal Service
- Mathematics
- Engineering and Technology
- Administration and Management
- Administrative
What you'd actually do
- Prepare course materials, such as syllabi, homework assignments, and handouts.
- Compile, administer, and grade examinations or assign this work to others.
- Prepare and deliver lectures to undergraduate or graduate students on topics such as programming, data structures, and software design.
- Evaluate and grade students' class work, laboratory work, assignments, and papers.
- Maintain student attendance records, grades, and other required records.
- Keep abreast of developments in the field by reading current literature, talking with colleagues, and participating in professional conferences.
Tools & technology you'd use
Frequently asked questions
What does computer science lecturer do?
Computer science lecturers are subject professors, teachers, or lecturers who instruct students who have obtained an upper secondary education diploma in their own specialised field of study, computer science, which is predominantly academic in nature. They work with their university research assistants and university teaching assistants for the preparation of lectures and of exams, grading papers and exams and leading review and feedback sessions for the students.
What skills does computer science lecturer need?
The most in-demand skills for this role include Haskell, Erlang, SAS language, Ruby (computer programming), Common Lisp, Lisp. These are the skills O*NET identifies as most important for competent performance.
Will AI replace computer science lecturer?
Our AI-durability model gives computer science lecturer a score of 0.55 on a 0-1 scale (higher = more exposure). That places it at moderate AI exposure — some tasks are being automated but the role adapts. Learning to work with AI tools rather than against them is the path forward.