Why tech graduates are jobless-and what’s missing

The gap between university education and industry requirements is no longer a new concern.
It has been discussed repeatedly in policy discussions, academic forums, and industry meetings, yet it continues to persist.
Despite widespread recognition, practical solutions remain limited and largely ineffective.
A hiring manager at a mid-sized software firm in Banani recently illustrated the issue with a striking example: 847 CVs were submitted for just 12 junior developer roles.
After interviewing around 60 candidates, she found only about five who could write functional code without heavily relying on copying from online sources like Stack Overflow.
This is not an isolated case. Similar complaints are common across Dhaka, Chattogram, and other growing tech hubs in Bangladesh.
The country produces around 50,000 IT and computer science graduates each year.
At the same time, ICT exports have surpassed the billion-dollar mark, with software from Bangladesh Association of Software and Information Services (BASIS) member companies reaching more than 100 countries.
On the surface, the sector appears to be performing strongly.
However, employers consistently report a different reality: most graduates are not job-ready.
This contradiction becomes clearer when examining broader data. Bangladesh’s ICT market is projected to reach about USD 8.82 billion in the near term and could grow to nearly USD 13 billion by 2031.
Yet industry surveys suggest that 65 to 80 percent of fresh graduates lack the practical skills needed for entry-level jobs.
As a result, companies often spend six months to a year retraining new hires before they become productive, effectively turning firms into informal training centres.
This raises a fundamental question: where exactly does the disconnect begin?
The syllabus lag
Discussions with faculty across several universities reveal a common problem: academic curricula are updated too slowly to match rapid industry changes.
One public university department head noted that revising a syllabus can take three to four years due to lengthy approval processes.
By the time updates are implemented, much of the technology being taught is already outdated.
This is especially problematic in a fast-moving sector like IT, where programming languages, cloud technologies, and modern practices such as Agile and DevOps evolve quickly.
Yet many university courses still rely on outdated theories and legacy tools that do not reflect real workplace demands.
Beyond bureaucracy, the issue also reflects a deeper disconnect between academia and industry.
Universities and companies often operate in parallel, with limited meaningful collaboration.
Engagement is usually limited to guest lectures, short internships, or formal agreements that rarely translate into real curriculum transformation.
Lessons from global models
International experience shows that stronger industry-academia integration is achievable.
Germany’s dual education system combines classroom learning with structured industry apprenticeships.
Singapore’s SkillsFutureprogramme aligns national certifications with evolving labour market needs.
In India, partnerships with NASSCOM help ensure graduates are certified in industry-relevant skills before entering the job market.
The common principle is clear: industry does not wait for graduates to be ready-it actively helps prepare them.
Companies contribute to curriculum design, mentor students, and ensure learning is closely linked to real workplace needs.
Bangladesh has begun adopting similar approaches on a limited scale.
At Daffodil International University, a “sandwich” programme allows students to work part-time in industry while studying, with around 80 percent reportedly receiving job offers before graduation.
BRAC University has strengthened industry involvement through corporate-funded academic structures that shape curriculum design.
KUET students have developed a ommercializedIoT solution for shrimp farm monitoring, with several team members securing job offers early.
Meanwhile, United International University’s AI research centre, supported by Samsung R&D Bangladesh, is running live projects in Bangla speech recognition, with certifications already valued by local tech firms.
These examples show that collaboration can work-but they remain isolated initiatives rather than a nationwide system.
The trust deficit
Despite promising pilot initiatives, large-scale adoption remains slow due to a persistent trust gap between universities and industry.
Universities often fear that deeper corporate involvement could reduce education to job training, weakening broader goals such as critical thinking, creativity, and civic responsibility.
These concerns are valid, as institutions are expected to produce well-rounded graduates, not just job-ready workers.
Industry leaders, on the other hand, argue that universities are too slow and disconnected from market realities, making them hesitant to invest in training when competitors may later hire away skilled talent.
The problem is further reinforced by academic incentive structures.
Faculty promotion systems typically prioritise research publications over industry collaboration, offering little recognition for efforts to build partnerships or align curricula with industry needs-even though such engagement is crucial for improving graduate employability.
The absence of real apprenticeship systems
In Bangladesh, most internship is too short and unstructured to build real skills.
Typical placements last only two or three weeks, where students mostly observe rather than actively work.
Exposure to live projects and proper mentorship is often missing.
What is lacking is a true apprenticeship model-long-term, structured engagement where students work on real assignments, receive continuous guidance, and gradually transition into professional roles.
A few companies have started adopting this approach. For example, a leading Dhaka-based software firm runs a year-long apprenticeship programme where final-year students contribute part-time to real client projects.
Although resource-intensive, the model helps reduce onboarding time, as many apprentices later join as full-time employees.
Scaling such initiatives, however, will require joint effort from industry, universities, and government, supported by policy incentives such as tax benefits or matching grants to encourage wider participation.
Changing how skills are measured
Recruitment practices are quietly shifting as many companies move away from GPA-based hiring filters.
A senior HR executive at a Dhaka tech firm noted, “We used to prioritise CGPAs above 3.5. Now we focus more on certifications. An AWS or similar cloud certification signals real practical ability.”
This reflects a broader change where industry-recognised certifications in cloud computing, cybersecurity, and data analytics are valued more than academic grades because they demonstrate job-ready skills.
In response, some universities are adapting by integrating certifications into degree programmes or replacing traditional theses with industry-based capstone projects, where students solve real business problems and are jointly evaluated by faculty and industry mentors.
A narrowing window for reform
Bangladesh is at a critical policy juncture as it prepares to graduate from LDC status in 2026 and move toward its Vision 2041 goals, making human capital development a national priority.
This creates a timely opportunity for structural reform in education and skills development.
Experts suggest key steps, including mandatory industry involvement in curriculum design, increased public funding for joint research and training, evaluating universities based on graduate employability, and offering tax incentives for companies that run structured apprenticeship programmes.
The stakes ahead
By 2030, Bangladesh is expected to produce over one million ICT graduates.
Without meaningful reform, many risk underemployment or joblessness, turning a potential demographic dividend into a long-term economic burden.
Meanwhile, global employers are increasingly hiring remote talent from countries where education systems are closely aligned with industry needs, not necessarily due to higher skills, but because graduates are immediately job-ready.
Ultimately, the future of Bangladesh’s tech sector will depend on whether academia and industry can move beyond symbolic cooperation toward real, sustained integration.
(The writer is a policy analyst specializing in digital governance and public-sector reform).
