Cohort Is Open

Transform your career path.

Join our intensive cohort programme and learn alongside motivated peers. Get the mentorship, hands-on experience, and career support you need to break into tech successfully.

3-6 Month Intensive Programme

Small Cohort Sizes

Live Expert Sessions

Career Support

Talk to an Expert

Cohorts per Year

In-Demand Tech Courses

500+

Successful Graduates

The cohort experience

Learn with a room behind you.

A fixed learning rhythm, practical work, and people who can help you keep moving when the work gets difficult.

Flexible Training

Choose between online and offline learning modes to fit your schedule and learning preference

Available Recordings

Access to all recorded sessions so you can review content and never miss important lessons

Real Projects

Work on actual industry projects and build a portfolio that showcases your skills to employers

Student Portal

Track your learning progress, view recorded classes, and submit assignments all in one place

Expert Mentorship

Learn from coaches with over 5+ years of industry experience who guide your career journey

Internship Opportunities

Access to 3-6 month paid internships with industry partners and parent body to help build your portfolio and practice what you have learnt in real job settings

Structured Timeline

Clear progression milestones and deadlines to keep you on track throughout your learning journey

Comprehensive Curriculum

Complete skill development from fundamentals to advanced topics with industry-relevant content

Choose your direction

Available cohort programmes

Compare the next available programmes, then open a course to see its schedule, curriculum, and enrollment options.

Browse programmes

Filter by category or sort by the next useful date.

Data & Analytics

Cohort

In-Person / beginner

6 months

Data Science

Master the complete data science workflow from data collection through web-based model deployment with this comprehensive professional program. Learn to build predictive models using Python, NumPy, Pandas, and Scikit-learn, create compelling visualizations with Matplotlib and Seaborn, and deploy machine learning solutions through web applications using HTML, CSS, JavaScript, and FastAPI. This hands-on course combines statistical analysis, machine learning, and web development skills to prepare you for modern data science roles. Through real-world projects spanning finance, healthcare, and technology sectors, you'll develop expertise in statistical modeling, machine learning algorithms, and full-stack deployment while building a portfolio that demonstrates your ability to create end-to-end data science solutions. By completion, you'll confidently build, visualize, and deploy machine learning models through professional web interfaces that stakeholders can actually use.

Starts 12 Oct 2026 • 6 months

₦300,000

Data & Analytics

Cohort

In-Person / beginner

6 months

Data Analysis

Transform raw data into actionable business insights with this comprehensive data analysis program. Master the complete data analysis workflow using industry-standard tools including Excel, SQL, Python, Power BI, and essential mathematical and statistical concepts. This hands-on course takes you from data collection and cleaning through advanced visualization and statistical modeling, preparing you for roles as a data analyst, business intelligence specialist, or data-driven decision maker. Whether you're starting your analytics journey or advancing your existing skills, this program provides practical experience with real-world datasets and projects that mirror actual business scenarios. By completion, you'll confidently extract meaningful insights from complex data and communicate findings effectively to stakeholders.

Starts 12 Oct 2026 • 6 months

₦200,000

Find the programme that fits your next step

Every course has its own schedule and enrollment details. Start with the programme list and choose the path you want to explore.

Browse programmes

Still deciding?

Speak with a learning adviser about the right programme, schedule, and next step for you.

Talk to an Advisor