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DATA MODELLING WITH AI
Gain hands-on skills in designing data structures, defining relationships, and optimizing models for performance and clarity. At Dataseal School of Technology, you’ll learn from real-world experts, work on industry-relevant projects, and graduate job-ready in one of the most foundational and high-impact tech fields today.
Spaces are limited — secure your spot and start building the future with intelligent data design.
MODELLING
Why Learn Data Modelling at DataSeal?
Data modelers shape the blueprint of intelligent systems. At Dataseal, you’ll gain hands-on skills to design schemas, define relationships, and structure data for clarity and efficiency; turning complex information into usable, strategic assets.
Explore curriculum catalogThe Power Behind Data-Driven Innovation
Data Modelling is the silent architect that defines, organizes, and streamlines information for precise and scalable use. From building logical structures to optimizing relational flow, it’s the framework that supports every AI, analytics, and business intelligence solution.
Build the Infrastructure of the Future
Our program empowers you to become a key player in the data ecosystem. Learn to design data models, define relationships, and collaborate across teams to ensure consistent, well-structured data ready for intelligent use wherever it's needed most.
Data Modelling lays the foundation for every data-driven decision; without it, data lacks context, clarity, and connection.
1. Career Switchers
Looking to transition into tech? Data Engineering offers a high-impact path for professionals from finance, healthcare, education, and more to pivot into a future-proof career.
2. Recent Graduate
Ready to turn theory into practice? If you’ve studied math, statistics, computer science, or related fields, this program helps you apply your knowledge to real-world problems.
3.Analysts & Researcher
Want deeper insights and smarter tools? Upgrade from spreadsheets to machine learning and predictive analytics to drive more powerful decision-making.
4. Tech Professional
Looking to upskill or specialize? Develop advanced capabilities in data modeling, AI, and cloud-based analytics to stay competitive and lead innovation.
5. Curious Problem-Solver
Love patterns, puzzles, and asking “why”? Data Engineering is perfect for those who thrive on uncovering hidden truths and solving complex challenges with logic and creativity.
1. High School Certificate - C+ and Above.
Applicants must have completed high school with at least a C+ in KCSE. Strong grades in Mathematics or Physics are highly advantageous, as they indicate readiness for quantitative coursework in data science.
2. Diploma/Degree in any field (Ongoing also welcomed)
Whether you’re a recent graduate or still pursuing higher education, you’re eligible. No specific discipline is required data science skills complement fields like business, health, engineering, and social sciences.
3. Basic Computer Skills & Personal Laptop/Desktop
You should be comfortable navigating files, using browsers, and installing software. A personal device is required with minimum specs:
- RAM: 8GB or more
- Processor: Intel i5/AMD Ryzen 5 or higher
- Storage: At least 256GB SSD preferred for speed
- OS: Windows 10+, macOS, or a stable Linux distro
- Extras: Web browser (Chrome or Firefox), ability to run Python, Jupyter Notebooks, and access cloud platforms
4. Stable Internet Connection
A reliable connection is vital for participating in virtual labs, streaming sessions, downloading resources, and collaborating with peers. Recommended speed:
- Download: 5 Mbps or higher
- Upload: 2 Mbps or higher
5. Interest in Problem Solving & Critical Thinking
You should enjoy analytical challenges, asking tough questions, and building logical solutions. While not a technical skill, this mindset is central to learning algorithms, designing models, and drawing meaningful insights from data.
1. Do I need any qualifications to join?
Most foundational and crash courses require no prior experience. For advanced programs, we recommend basic knowledge in the subject or a related background. Specific prerequisites are listed on each course page.
2.Is there an application deadline?
Online courses have rolling admissions, while in-person intakes are usually organized quarterly. Follow our social media or check the “Admissions Calendar” for deadlines.
3.Can I switch from online to face-to-face learning?
Yes. Subject to seat availability, you can transition between online and campus-based modes. Submit a request through the student portal or contact support for help.
4. Are there scholarships or discounts available?
Yes. We offer limited merit-based and need-based scholarships, as well as group and early registration discounts. Visit the “Scholarships & Discounts” page for current offers.
5. Can international students apply?
Yes. We welcome international learners for our online programs. For physical attendance, ensure you comply with Kenyan visa and residency requirements.
6. How long does it take to process my application?
Applications are reviewed within 2–3 business days. You’ll receive a confirmation and next steps by email or WhatsApp.
7. What documents do I need to submit?
You typically need a valid national ID or passport, academic records (if applicable), and a passport photo. Specific course requirements may vary.
8. Will I receive a student ID or portal access?
Yes. Upon successful enrollment, you’ll receive a unique student ID, login credentials for the learning portal, and orientation materials.
9. Can I defer my admission after enrolling?
Yes. If you’re unable to start immediately, you can defer to the next intake. Submit a deferral request to admissions@datasealschool.com or through your dashboard.
10.Is on-campus support available for tech help?
Yes. Our Nairobi campus includes a Student IT Help Desk where you can get assistance with devices, installations, or platform logins. Open Monday–Friday, 9:00 AM–4:00 PM.
Enrollment Packages
Remote Learning
Fully Online, Learn from Anywhere
- Kickoff Date : September Intake
- Timeline : 3 Months
- Time : Mon - Fri | 8am – 4pm
- Program Fee : Ksh 36,000
- Tuition & Fees: Download Here
Hybrid Learning
Online + In-Person Support
- Kickoff Date : September Intake
- Timeline : 3 Months
- Time : Mon - Fri | 8am – 4pm
- Program Fee : Ksh 40,000
- Tuition & Fees: Download Here
Part-Time Learning
Evening & Weekend Classes
- Kickoff Date : September Intake
- Timeline : 5 Months
- Time : Mon - Fri | 8pm–9pm Sat | 9am-4pm
- Program Fee : Ksh 45,000
- Tuition & Fees: Download Here
Payment Guidelines
Please note: Payment clearance may involve administrative steps to ensure compliance and security.
- All transactions are subject to verification by our finance department before final enrollment confirmation.
- Processing times may vary depending on:
- The selected payment method
- Completeness of submitted documentation
- Receipts will be issued only after payment has been officially reconciled in our system.
- For sponsored or institutional payments:
- Relevant supporting documents must be submitted in advance for validation.
- Incomplete or delayed payments may result in:
- Temporary access restrictions to course materials
- Delayed participation in scheduled sessions
- For any payment-related inquiries or updates:
- Please contact our finance office via the official support channel provided.
