Why the 3MTT DeepTech Call Is a Game Changer
There’s a massive shift happening in Nigeria’s digital economy, and it’s not just about getting people online anymore. It’s about building a future-proof workforce equipped with the kind of skills global companies are hiring for today—data science, machine learning, AI, and other deep technologies. That’s where the 3MTT DeepTech call comes in.
This isn’t your typical training programme. The 3MTT (3 Million Technical Talent) DeepTech initiative is a premium cohort under the broader 3MTT programme, launched by the Federal Ministry of Communications, Innovation & Digital Economy. It’s built to develop a pipeline of elite Nigerian tech talent in areas that demand more than basic digital literacy. Think of it as Nigeria’s strategic answer to the global demand for deep tech professionals.
But here’s the thing—this opportunity is limited to a specific number of committed, prepared, and qualified individuals. It’s competitive, it’s rigorous, and it’s not for everyone. If you want to land a spot in the 3MTT DeepTech cohort, you need more than interest. You need strategy, clarity, and preparation.
This guide will walk you through every part of that process—from understanding what DeepTech really means, to preparing for the assessment, creating a standout profile, and avoiding the common mistakes that derail most applicants.
What Is DeepTech and Why It Matters in Nigeria
DeepTech, short for “deep technology,” refers to a class of technologies that are based on substantial scientific or engineering breakthroughs. This includes artificial intelligence, data science, machine learning, computer vision, natural language processing (NLP), geospatial technologies, and more.
These aren’t just trendy buzzwords. They’re the core drivers behind today’s digital transformation—autonomous vehicles, fraud detection systems, smart agriculture, intelligent search engines, and medical diagnostics. If you’re wondering why DeepTech matters in Nigeria, the answer is simple: this is where the future jobs and innovation will come from.
The Federal Government understands this. That’s why the 3MTT DeepTech cohort was created—not just to churn out developers or coders, but to build a highly skilled workforce capable of solving real-world problems using advanced technology.
If you’ve ever thought about building solutions in AI, automating business systems, analyzing large-scale data, or even developing smart city infrastructure, DeepTech is the arena you should be playing in.
Overview of the 3MTT DeepTech Programme
The 3MTT DeepTech Programme is a specialized track under the broader 3MTT (3 Million Technical Talent) initiative. While the general 3MTT programme focuses on equipping Nigerians with basic to intermediate digital skills (such as digital marketing, product design, or cloud computing), the DeepTech track is more intensive and selective.
It is designed for those who already have a basic tech background and are looking to upscale into advanced domains such as:
- Data Science & Machine Learning
- Natural Language Processing (NLP)
- Computer Vision
- Geospatial Intelligence
- Advanced Data Visualization
- Data Architecture
- Artificial Intelligence Strategy and Deployment
This cohort is part of Nigeria’s National Talent Export Programme (NATEP), a government-backed vision to turn Nigeria into a net exporter of skilled digital talent. It’s a long-term play, and the DeepTech track is the tip of the spear.
The programme itself runs for about 6 months and includes intensive training, mentorship, hands-on projects, and pathways to real job placements—both locally and internationally.
3MTT DeepTech Programme: Specializations and Eligibility
Specializations Offered
Participants can choose from the following areas:
- Data Science & Machine Learning
- Advanced Data Analysis & Visualization
- Natural Language Processing (NLP)
- Computer Vision
- Geospatial Data Science
- Data Architecture
- Advanced Machine Learning Techniques
These tracks are tailored to address the evolving needs of the tech industry, ensuring that participants are well-prepared to tackle real-world challenges in their chosen fields.
Eligibility Criteria
To be considered for the 3MTT DeepTech Programme, applicants must meet the following requirements:
- Must be a Nigerian citizen
- Possess basic to intermediate knowledge in relevant technical fields
- Demonstrate a strong interest in AI, Data Science, and Machine Learning
- Be committed to participating in the full 6-month training duration
This programme is especially suited for individuals who are eager to elevate their technical skills and pursue careers in advanced tech domains.
Programme Benefits
Participants can look forward to a comprehensive suite of benefits designed to foster both personal and professional growth:
- Expert-led curriculum taught by seasoned industry professionals
- Hands-on experience through real-world projects
- Career support, including resume development and mock interviews
- Networking opportunities with mentors and potential employers
These benefits are structured to ensure that graduates of the programme are not only knowledgeable but also job-ready, aligning with the programme’s goal of producing a competent tech workforce.
How to Prepare for the 3MTT DeepTech Assessment
Securing a place in the 3MTT DeepTech cohort isn’t just about signing up—it requires passing a rigorous entry assessment. This assessment is what filters applicants who are merely interested from those who are ready to commit and thrive in advanced tech domains. Here’s how to prepare thoroughly and strategically.
Understand the Nature of the Assessment
The 3MTT DeepTech assessment is designed to test your foundational understanding of data science, machine learning, and general programming logic. The questions typically cover:
- Python Programming – syntax, functions, loops, data types
- Mathematics for Data Science – statistics, probability, algebra
- Problem Solving – algorithmic thinking, logic puzzles
- Data Interpretation – charts, data cleaning basics
- Machine Learning Fundamentals – concepts like supervised vs. unsupervised learning
The assessment format is typically multiple-choice and conducted online. There is usually a time limit, so time management is essential.
Study Resources to Use
To prepare effectively, prioritize high-quality, up-to-date learning resources that are tailored to DeepTech topics. Some verified and relevant ones include:
- W3Schools Python Tutorial
- Khan Academy – Statistics & Probability
- Google’s Machine Learning Crash Course
- Hackerrank and LeetCode
- Coursera or edX – especially courses offered by Stanford or Harvard
Stick to resources that allow you to test your learning with quizzes or coding challenges.
Focused Study Plan (2–3 Weeks Recommended)
If you have about two to three weeks before the assessment, structure your time like this:
Week 1
Days 1–2: Python basics and syntax practice
Days 3–4: Data types, functions, lists, dictionaries
Days 5–6: Control flow (if-else, loops), error handling
Day 7: Practice coding challenges
Week 2
Days 8–9: Statistics & probability basics
Days 10–11: Machine learning concepts (linear regression, classification)
Day 12: Basic data handling using Pandas or Excel
Day 13: Simulated assessment using practice questions
Day 14: Review mistakes and revise weak areas
Optional Week 3
Dive deeper into applied practice
Join free study groups or Telegram communities for peer learning
Take Practice Assessments
Many applicants fail because they underestimate the format of timed tests. Practice assessments will help you:
- Get used to the format
- Build speed and accuracy
- Reduce anxiety during the real test
Use platforms like TestGorilla, HackerRank, or Skillvalue for mock tests.
Improve Your Internet and Hardware Setup
The assessment is online, and technical glitches can cost you everything. Ensure that:
- You use a reliable laptop or desktop
- Your internet connection is stable
- You sit in a quiet, distraction-free space
- You test your browser and webcam in advance if required
Mental Preparation Is Just as Important
Confidence matters. On the day of the assessment:
- Sleep well the night before
- Avoid last-minute cramming
- Read each question carefully
- Trust your preparation
You only need one good attempt. Score 70% or above to become eligible for selection. But don’t aim for just eligibility—aim for excellence. High scorers tend to be prioritized for tracks like Computer Vision and NLP where competition is stiffer.
Crafting a Winning 3MTT DeepTech Application
Beyond acing the assessment, the application you submit plays a pivotal role in landing a spot in the 3MTT DeepTech cohort. Remember, the selection panel is looking for candidates who not only have the technical potential but also demonstrate passion, commitment, and clarity of purpose.
Complete Your Profile with Precision
When you apply through the official 3MTT portal, you’ll be required to provide detailed personal and professional information. Accuracy here is key. Use your real name, correct contact details, and ensure your educational background matches your certificates. Any inconsistencies can lead to immediate disqualification.
Highlight your technical skills clearly. If you have experience in Python, data analysis, or machine learning—even at beginner level—list it explicitly. If you have contributed to open-source projects or participated in hackathons, mention these. The goal is to demonstrate that you are actively engaged in the tech ecosystem.
Write a Clear and Compelling Motivation Statement
This is your chance to stand out. The motivation statement or personal essay should not be vague or generic. Explain why DeepTech excites you, how you intend to leverage this knowledge, and what impact you want to make in Nigeria or globally.
Avoid clichés. Instead, share specific goals. For example, you might say:
“I want to develop AI-driven solutions for agriculture to improve smallholder farmers’ yield, thereby contributing to food security in Nigeria.”
Or:
“I aim to specialize in geospatial intelligence to assist urban planning and traffic management in Lagos.”
This specificity reflects focus and maturity, two qualities the selection committee highly values.
Gather Strong Recommendations (If Applicable)
While not always mandatory, having a recommendation from a credible source can bolster your application. This could be a professor, a tech mentor, or a supervisor from a relevant internship. Ensure the recommender highlights your technical aptitude and work ethic.
Prepare for the Interview Stage
Shortlisted candidates are often invited for interviews. These sessions assess not just your technical understanding but also your problem-solving approach and communication skills.
Practice common interview questions related to your chosen DeepTech specialization. Be ready to discuss your projects, how you tackled challenges, and your future aspirations.
Remember, authenticity is crucial. Speak confidently about what you know and express a willingness to learn where you don’t.
Common Pitfalls to Avoid During the 3MTT DeepTech Call Process
Knowing what not to do is just as important as knowing how to prepare. Many promising applicants lose their chance due to avoidable errors. Here are common pitfalls and how to steer clear of them.
Underestimating the Assessment
The assessment is designed to challenge you. It’s not a mere formality. Treat it with the seriousness of a final exam—adequate preparation can’t be overstated.
Submitting Incomplete or Inaccurate Applications
Failing to fill out all required fields, providing mismatched information, or uploading unclear documents will get you disqualified swiftly. Double-check everything before submission.
Lack of Focus in Motivation Statements
A vague or generic motivation letter signals lack of direction. Tailor your statement to reflect genuine passion and concrete plans related to DeepTech.
Neglecting Time Management on Assessment Day
Rushing through questions or spending too long on one problem can lower your score. Practice pacing yourself during mock assessments.
Ignoring Communication in the Interview
Even if you’re technically strong, poor communication can hurt your chances. Practice explaining complex ideas simply and clearly.
Maximizing Your Chances Beyond the Application
Getting into the 3MTT DeepTech cohort is competitive, but it’s not the end of your journey if you don’t succeed on the first try. Here’s how to keep growing and improve your odds for future calls.
Continuous Learning and Skill Development
Stay engaged with online courses, workshops, and community groups focused on DeepTech fields. Platforms like Coursera, Udacity, and local tech hubs offer affordable or free training.
Build a Portfolio of Projects
Demonstrate your skills through small projects you can showcase on GitHub or personal blogs. This tangible proof often impresses selection panels and employers alike.
Network with Tech Communities
Join Nigerian and global tech forums, attend webinars, and participate in hackathons. This not only sharpens your skills but also connects you to mentors and peers who can support your growth.
Prepare for Future Calls
The 3MTT DeepTech call is just one of many opportunities emerging in Nigeria’s tech landscape. Keep monitoring official channels for new calls, and use every experience to improve your application and interview performance.
Real Stories from 3MTT DeepTech Alumni
Nothing motivates like real success stories. Alumni of the 3MTT DeepTech programme have gone on to land roles in multinational firms, launch tech startups, and even contribute to government digital projects. Their journeys show that persistence, preparation, and passion pay off.
One former cohort member shared how the intensive training transformed their understanding of machine learning and opened doors to remote work with a leading AI firm in Europe. Another credited the mentorship component for helping them build a practical project that attracted seed funding.
These narratives highlight that beyond technical knowledge, the programme equips participants with a mindset and network essential for thriving in DeepTech careers.
Final Thoughts on Securing Your Spot in the 3MTT DeepTech Cohort
Landing a place in the 3MTT DeepTech cohort is not just a ticket to an elite training programme; it’s a strategic career move in one of Nigeria’s fastest-growing tech sectors. The key to success lies in preparation, clarity of purpose, and continuous learning.
This guide has laid out a clear roadmap—from understanding the significance of DeepTech and the programme’s structure to mastering the assessment, submitting a standout application, and avoiding common pitfalls. It’s a comprehensive pathway that, if followed diligently, can open doors to life-changing opportunities.
Whether you are a recent graduate, a self-taught coder, or a professional pivoting into tech, the 3MTT DeepTech call is your chance to join a cohort of top-tier talent shaping Nigeria’s digital future. Start today with focused study, build your skills, and craft an application that tells your unique story. The next call might just be the beginning of your deep tech journey.
