₦airaland Forum

Atheistan:
Its a dying course...
Organizations are moving away from on-premises infrastructure to cloud so fewer hardware lay within their environment.

True, but it's not a dying course, rather Nigerian economy is too undeveloped for its impact.

Lawalemi:
Is Computer Engineering Great Course to Study in Nigeria?

Please advise

A useless course

CodeTemplar:
Mr man, EE is engineering (design) and thus just as prone to AI interference as all other fields. PCB Netlists, actual circuitry, casing models can all be greatly aided by AI. Maybe the EE you meant was roadside repairers who swap out components and ICs. Those quacks who appropriate title like traditionalists.

read my post again, this time carefully. I said "by far the most immune", not totally immune. AI is not new, it been in embedded system for decades. Commercial AI and ignorance is why ppl this AI can take all jobs.

A clear case in point is in the Automation industry where automation has remained the order of the day for decades, yet the relevance of electrical engineering(EE) ensues in the industry, whereas in the case of computer engineering(CE), laid off EE pivots in to it as now a major part of EE rather than leaving the roles for standalone CE.

Point is EE can easily span across industry, hence affirming its immunity.

You can remotely operate a datacenter interms of computation, but try full automation of EE at the same datacentre, and you will soon find out.

Ifexibe:
True, but it's not a dying course, rather Nigerian economy is too undeveloped for its impact.

Exactly. The relevance of computer engineering is now mostly demonstrated in data centres and embedded systems. None of which Nigeria's economy encourages.

But, compared to other major engineering, computer engineering should be a second option as it is too career specific.

rottenPussy:
Exactly. The relevance of computer engineering is now mostly demonstrated in data centres and embedded systems. None of which Nigeria's economy encourages.

But, compared to other major engineering, computer engineering should be a second option as it is too career specific.

Career specific for a reason. Computer Science is too broad. Way too broad.

VeeVeeMyLuv:
Yes as long as you are willing to apply it

No course is useless

The problem is people not willing to apply these course giving flimsy excuses

Some courses are useless at this time of AI, even FG has announced that some courses will no longer be beneficiaries of NELFUND because they are not marketable

Ifexibe:
Career specific for a reason. Computer Science is too broad. Way too broad.

It used to be truly broad - the same can no longer be argued solidly in employments context.

Unlike before where a job post would be specific on each of frontend, backend, networking, or specialised tool as enough requirement for a job, you now see multiple track being listed as a requirement for one job post - with the same or even a lower pay than what it used to be.

FYI, platform engineering, the new trending track is a combo of SE, devops, finops, and a little bit of secops. Employing one competent person eliminates the need for other roles being standalone and that competent person is not as hard to come by, no thanks to the unending mass layoff of seniors.

And please don't mention data analysis, as that is now being treated as a subset of other career path. Math, statistics, mechanical and electrical engineering graduates now have modules that teach this as part of their courses.

It’s a good degree as a foundation but unwill need to be current with technology as computer science evolve fast

Lawalemi:
Is Computer Engineering Great Course to Study in Nigeria?

Please advise

It is a good course but not a great course in Nigeria because things have changed in Nigeria. Getting a computer engineering job may not be easy because the demand isn't high.

rottenPussy:
It used to be truly broad - the same can no longer be argued solidly in employments context.

Unlike before where a job post would be specific on each of frontend, backend, networking, or specialised tool as enough requirement for a job, you now see multiple track being listed as a requirement for one job post - with the same or even a lower pay than what it used to be.

FYI, platform engineering, the new trending track is a combo of SE, devops, finops, and a little bit of secops. Employing one competent person eliminates the need for other roles being standalone and that competent person is not as hard to come by, no thanks to the unending mass layoff of seniors.

And please don't mention data analysis, as that is now being treated as a subset of other career path. Math, statistics, mechanical and electrical engineering graduates now have modules that teach this as part of their courses.

You're mostly mentioning development roles.

Computer science is broader than that.

Ifexibe:
You're mostly mentioning development roles.

Computer science is broader than that. I'm a computer science graduate.

Those are infrastructure and operations automation roles.

I hold a first class in CS from a UK uni, I'm MBCS, and work within the UK industry.

CS is no longer as promising as it used. Maybe go have a look at layoffs.fyi

Kaczynski:
Computer engineering is totally different from electrical engineering . it's like saying computer science came out from the field of mathematics.

Pardon my ignorance, but what is the difference between the two? I did not see any noticeable difference for schoolmates at undergrad level. They took the same courses till final year. In fact, the comp sci students wondered what the "computer" was there for since all they did was almost pure mathematics.

p.s. The great thing about computer science is that it is four years, the same as mathematics. Else, mathematics takes the cake.

UzorIyke:
What do you think about computer engineering 🤔 abi you think is about assembling and coupling of computer
That is the list in the course.
Mind you I'm currently studying Computer Engineering in Federal Polytechnic Nekede.

You are just wasting your time oo for this Nigeria ...better too it up with high tech courses so you can dabble in if one is outdated ....your computer engineer bsc means notin in today's world ...people can learn tech skills from online and beat you hands down lol 😂

rottenPussy:
read my post again, this time carefully. I said "by far the most immune", not totally immune. AI is not new, it been in embedded system for decades. Commercial AI and ignorance is why ppl this AI can take all jobs.

A clear case in point is in the Automation industry where automation has remained the order of the day for decades, yet the relevance of electrical engineering(EE) ensues in the industry, whereas in the case of computer engineering(CE), laid off EE pivots in to it as now a major part of EE rather than leaving the roles for standalone CE.

Point is EE can easily span across industry, hence affirming its immunity.

You can remotely operate a datacenter interms of computation, but try full automation of EE at the same datacentre, and you will soon find out.

The way CE and EE is taught in Nigerian school leaves the room for CE to actually work anywhere EE can. What you are basing your conclusion on is just popular opinion of those who dont know better. Save for power aspect of EE, there isnt much difference between both.
Another point is that CE is higly dependent on, and intertwined with nanotechnology. Can you see EM waves? Can you see electrons? Can you see the tranaistors performing binary operations? Can you feel any of those as well as you can feel elect/elect products?

At the core, CE products are in nano scale and cannot be fixed. This has put repairs in the hands elect/elect guys who specialize in power electronics subfield to hijack computer repairs. The parts of computer most repairers work on are power electronics(SMPS) which is a subffield of EE.
The fact that a final product is called COMPUTER doesn't make job of repair of the system a CE affair. Within that product, many fields of engineering contributed heavily so it will be unfair to ask CE to fix a computer. There are so many fallacies like that when dealing with Engineering.

poweredcom:
You are just wasting your time oo for this Nigeria ...better too it up with high tech courses so you can dabble in if one is outdated ....your computer engineer bsc means notin in today's world ...people can learn tech skills from online and beat you hands down lol 😂

That shows me you don't know a dime concerning Computer Engineering Technology.

So what will you use to access the cloud infrastructure daily?

Atheistan:
Its a dying course...
Organizations are moving away from on-premises infrastructure to cloud so fewer hardware lay within their environment.

Computer Engineering is solid if you like coding and hardware. Jobs dey for banks, tech startups, even abroad. But you must learn Python and do projects. School theory alone no go help. What year are you in?

CodeTemplar:
The way CE and EE is taught in Nigerian school leaves the room for CE to actually work anywhere EE can. What you are basing your conclusion on is just popular opinion of those who dont know better. Save for power aspect of EE, there isnt much difference between both.
Another point is that CE is higly dependent on, and intertwined with nanotechnology. Can you see EM waves? Can you see electrons? Can you see the tranaistors performing binary operations? Can you feel any of those as well as you can feel elect/elect products?

At the core, CE products are in nano scale and cannot be fixed. This has put repairs in the hands elect/elect guys who specialize in power electronics subfield to hijack computer repairs. The parts of computer most repairers work on are power electronics(SMPS) which is a subffield of EE.
The fact that a final product is called COMPUTER doesn't make job of repair of the system a CE affair. Within that product, many fields of engineering contributed heavily so it will be unfair to ask CE to fix a computer. There are so many fallacies like that when dealing with Engineering.

I think we are partly agreeing, but you are arguing a different point.

I never said CE is useless, or that EE owns every product that contains electronics. My point was about relative exposure to AI-driven job displacement, not which discipline is “better.”

The reason I said EE is “by far the most immune” is because a large part of EE work is tied to physical infrastructure, power systems, industrial automation, safety, maintenance, installation, commissioning, fault-finding, compliance, and field operations. These are not just abstract design tasks that can be fully remote-controlled or automated by software.

That is why I used the data centre example. You can automate and remotely manage a lot of the compute layer, but the electrical layer still depends heavily on physical systems, safety procedures, power distribution, cooling interfaces, protection systems, UPS, generators, cabling, switching, grounding, and site-level engineering judgement.

On CE and EE overlapping, I agree. In many Nigerian schools, the boundary is not always clean, and both disciplines share electronics, digital systems, embedded systems, signals, control, and computer architecture. But overlap does not erase the difference in industry exposure. CE may work in areas EE can touch, but EE has a wider spread across power, energy, manufacturing, automation, telecommunications, building services, instrumentation, utilities, and infrastructure.

Also, the repair example actually supports the point about interdisciplinarity. A computer being called a computer does not make every repair a CE matter, just as a data centre being full of servers does not make the whole facility a CE matter. Modern systems are layered. The compute layer, power layer, control layer, network layer, and physical infrastructure layer all require different expertise.

So my argument is not “EE can do everything” or “CE cannot survive AI.” My argument is narrower: EE has a stronger physical-world anchor, which gives it more resistance to full AI substitution compared with fields that are more software/computation-heavy.

rottenPussy:
I think we are partly agreeing, but you are arguing a different point.

I never said CE is useless, or that EE owns every product that contains electronics. My point was about relative exposure to AI-driven job displacement, not which discipline is “better.”

The reason I said EE is “by far the most immune” is because a large part of EE work is tied to physical infrastructure, power systems, industrial automation, safety, maintenance, installation, commissioning, fault-finding, compliance, and field operations. These are not just abstract design tasks that can be fully remote-controlled or automated by software.

That is why I used the data centre example. You can automate and remotely manage a lot of the compute layer, but the electrical layer still depends heavily on physical systems, safety procedures, power distribution, cooling interfaces, protection systems, UPS, generators, cabling, switching, grounding, and site-level engineering judgement.

On CE and EE overlapping, I agree. In many Nigerian schools, the boundary is not always clean, and both disciplines share electronics, digital systems, embedded systems, signals, control, and computer architecture. But overlap does not erase the difference in industry exposure. CE may work in areas EE can touch, but EE has a wider spread across power, energy, manufacturing, automation, telecommunications, building services, instrumentation, utilities, and infrastructure.

Also, the repair example actually supports the point about interdisciplinarity. A computer being called a computer does not make every repair a CE matter, just as a data centre being full of servers does not make the whole facility a CE matter. Modern systems are layered. The compute layer, power layer, control layer, network layer, and physical infrastructure layer all require different expertise.

So my argument is not “EE can do everything” or “CE cannot survive AI.” My argument is narrower: EE has a stronger physical-world anchor, which gives it more resistance to full AI substitution compared with fields that are more software/computation-heavy.

what can AI do in CE that it cannot do in EE?
In EE AI can generate PCB netlist and PCB Layout.
It can handle 3D CAD. it can come up with advanced circuitry. AI can predicts energy demand, regulate grid management, and optimizes distribution, things that are generally crucial for managing renewable energy variability. There is signal processing also. There is control system/automation(SCADA inclusive).
Please in addition to these highlights, riddle me ooo. If a data centre has computer hardware failure, like failty RAM or HDD (RAiD), who shows up to fix them? EE or CE?

CodeTemplar:
what can AI do in CE that it cannot do in EE?
In EE AI can generate PCB netlist and PCB Layout.
It can handle 3D CAD. it can come up with advanced circuitry. AI can predicts energy demand, regulate grid management, and optimizes distribution, things that are generally crucial for managing renewable energy variability. There is signal processing also. There is control system/automation(SCADA inclusive).
Please in addition to these highlights, riddle me ooo. If a data centre has computer hardware failure, like failty RAM or HDD (RAiD), who shows up to fix them? EE or CE?

Fair point, but that is exactly why I said “more immune,” not “immune.”

AI can assist EE heavily: PCB layout, circuit design, CAD, grid optimisation, signal processing, control systems, and SCADA. No argument there.

The difference is that EE is more tied to physical infrastructure, safety, compliance, commissioning, maintenance, power, heat, grounding, protection, and real site conditions. AI can suggest, simulate, and optimise, but it cannot physically own a live panel, failed UPS path, bad earthing, generator fault, or protection issue.

For the data centre example: faulty RAM, HDD/SSD, RAID rebuild, or server swap is usually handled by data centre technicians, hardware/infrastructure engineers, or vendor field engineers, not purely EE or CE. But power distribution, UPS, PDUs, switchgear, grounding, and electrical safety sit firmly in EE territory.

That is my point: both fields will use AI, but EE has a stronger physical-world anchor.

givedemwotowoto:
It doesn’t even matter so much these days where you study computer engineering

YouTube and the internet are there to teach you everything you need to know

On YouTube you can also learn about different countries, watching for example shorts on togeday channel. It's in English

rottenPussy:
Fair point, but that is exactly why I said “more immune,” not “immune.”

AI can assist EE heavily: PCB layout, circuit design, CAD, grid optimisation, signal processing, control systems, and SCADA. No argument there.

The difference is that EE is more tied to physical infrastructure, safety, compliance, commissioning, maintenance, power, heat, grounding, protection, and real site conditions. AI can suggest, simulate, and optimise, but it cannot physically own a live panel, failed UPS path, bad earthing, generator fault, or protection issue.

For the data centre example: faulty RAM, HDD/SSD, RAID rebuild, or server swap is usually handled by data centre technicians, hardware/infrastructure engineers, or vendor field engineers, not purely EE or CE. But power distribution, UPS, PDUs, switchgear, grounding, and electrical safety sit firmly in EE territory.

That is my point: both fields will use AI, but EE has a stronger physical-world anchor.

What will EE do in a full blown semiconductor factory producing chips?

CodeTemplar:
What will EE do in a full blown semiconductor factory producing chips?

A lot.

A semiconductor factory is not just “CE because it produces chips.” It is one of the most electrically intensive industrial environments on earth.

EE is involved in power distribution, cleanroom electrical systems, process equipment power, instrumentation, sensors, control systems, robotics, PLC/SCADA, motors, drives, RF systems, grounding, safety interlocks, UPS, generators, power quality, ESD protection, and equipment maintenance.

Even the chip production tools need electrical engineers to keep them powered, controlled, calibrated, protected, and safely integrated into the factory.

So the same point still stands: the final product may be a computer chip, but the factory that produces it is heavily EE.

Computer Engineering is future, including AI solutions.

Don't waste your time spending a whole 4yrs+ to study computer engineering. Rather, go for any highly rated and demanding certificate course in Robotics, Ai, Machine Learning, Data analytics.

spiSeyi:
There's nothing like a roadside computer repairs and besides dem dey make money pass some bankers or even doctors. If repair no come you go sell laptops or accessories that stuff is a low-key passive income generator plus if you are well educated you can write proposals to ministries, MDAs, NGOs to train ppl for empowerment or even partner as service center or repair centers with some distributors

i can tell a SE person wrote this. They use money to judge who is wise n foolish.