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- Tasks: Inspire students by teaching Data Analytics modules and guiding future tech leaders.
- Company: Join a respected university in Birmingham, dedicated to career-focused education for over 8000 students.
- Benefits: Enjoy 38 days of paid leave, excellent pension, subsidised healthcare, and gym membership.
- Why this job: Make a real impact in a growing department while fostering an inclusive learning environment.
- Qualifications: Teaching experience or industry expertise in Computing/Data Analytics is preferred.
- Other info: Commitment to safeguarding principles is essential; equal opportunities employer.
The predicted salary is between 38249 - 42882 £ per year.
Job Title: Lecturer in Computing (Data Analytics) (HE)
Location: Birmingham
Salary: £38,249 – £42,882 per annum – AC2
Job type: Permanent, Full time
Closing Date: Sunday 27th July 2025
The University is unlike any other. Standing proud in the heart of the city of Birmingham, they have been delivering career-focused education and training for decades. With around 8000 students across FE and HE level provision, the University is highly respected by employers and industry in meeting the region\’s skills needs.
The University\’s mission is to promote and provide the opportunity for participation in the learning process by those with the ambition and commitment to succeed and to maintain a learning community that meets the diverse needs of our students, the economy and society at large.
The Role:
Ready to inspire the next generation of tech professionals? Whether you have teaching experience in HE or are an industry expert eager to transition to academia, our growing Computing Department offers the perfect opportunity to make a lasting impact in Higher Education.
Join our academic team and be part of our growth!
As a Lecturer, you\’ll deliver inspiring and inclusive teaching that supports all students in achieving their full potential. This role will focus on teaching a range of Data Analytics/Data Science related modules on our HE programmes, where you\’ll help shape and guide future leaders in the field.
You will prioritise practical application and demonstration over theoretical instruction, ensuring students gain real-world skills and experience.
Why The University?
- Growing Department: Be part of a team that\’s thriving and expanding every year.
- Supportive & Inclusive: Join a collaborative, diverse environment.
- Career Development: Access ongoing professional growth opportunities.
- Industry Connections: Work with industry partners, bringing real-world learning into the classroom.
Benefits:
- Generous allocation of annual leave
- 38 days\’ paid leave per year
- 12 Bank Holidays & Concessionary Days
- Excellent Teachers\’ Pension Scheme
- Employer Contributions – 28.6%
- Subsidised private healthcare provided by Aviva including a Digital GP Service.
- Employee Assistance Programme inclusive of counselling services, financial wellbeing support and bereavement support
- Annual health MOTs with our Registered Nurse
- Excellent staff development opportunities including professional qualification sponsorship
- A variety of salary sacrifice schemes including technology and cycle.
- Heavily-subsidised on-site car parking in central Birmingham
- Free on-site gym membership
Extra Information:
All applicants for employment at the University will be expected to demonstrate an understanding of the principles of Safeguarding and the PREVENT agenda in the context of further and higher education.
Closing Date – Sunday 27 July 2025
Interview Dates – TBC
The University is an equal opportunities employer.
Please click APPLY to be redirected to our website to complete an application form.
Candidates with experience or relevant job titles of: Computing Lecturer, Tech Lecturer, Computing Tutor, Computing Teacher, Data Analytics Engineer, Data Analytics Teacher, may also be considered for this role.
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Lecturer in Computing (Data Analytics) (HE) employer: BluetownOnline
Contact Detail:
BluetownOnline Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lecturer in Computing (Data Analytics) (HE)
✨Tip Number 1
Familiarise yourself with the latest trends and technologies in Data Analytics. Being able to discuss current industry practices during your interview will show your passion and commitment to the field.
✨Tip Number 2
Network with professionals in academia and industry. Attend relevant conferences or workshops where you can meet potential colleagues and learn more about the university's approach to teaching Data Analytics.
✨Tip Number 3
Prepare to demonstrate your teaching philosophy and methods. Think about how you would engage students in practical applications of Data Analytics, as this is a key focus for the role.
✨Tip Number 4
Research the university's mission and values. Understanding their commitment to inclusivity and career-focused education will help you align your responses during the interview with what they are looking for in a candidate.
We think you need these skills to ace Lecturer in Computing (Data Analytics) (HE)
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities of a Lecturer in Computing (Data Analytics). Familiarise yourself with the specific modules you'll be teaching and how they relate to real-world applications.
Tailor Your CV: Highlight your relevant teaching experience or industry expertise in data analytics. Make sure to include any specific achievements or projects that demonstrate your ability to inspire and educate students.
Craft a Compelling Cover Letter: Use your cover letter to express your passion for teaching and your commitment to student success. Mention how your background aligns with the university's mission and how you can contribute to their growing Computing Department.
Showcase Your Teaching Philosophy: In your application, briefly outline your teaching philosophy, focusing on how you plan to engage students and prioritise practical applications of data analytics. This will help the university see your potential impact on their students.
How to prepare for a job interview at BluetownOnline
✨Showcase Your Teaching Philosophy
Be prepared to discuss your approach to teaching and how you engage students in the learning process. Highlight any innovative methods you've used to make complex topics like Data Analytics accessible and exciting.
✨Demonstrate Industry Knowledge
Since the role involves practical application, be ready to share examples from your industry experience. Discuss how you can bridge the gap between theory and practice, and how you plan to incorporate real-world scenarios into your teaching.
✨Emphasise Inclusivity
The University values a supportive and inclusive environment. Be sure to talk about how you cater to diverse learning needs and create an inclusive classroom atmosphere that encourages participation from all students.
✨Prepare Questions for the Interviewers
Show your interest in the role and the department by preparing thoughtful questions. Ask about their vision for the Computing Department, opportunities for professional development, or how they foster collaboration among staff.
