FAST TRACK DIPLOMA LEVEL 4 DATA SCIENCE
Fast Track Diploma — Level 5 Diploma in Data Science
Provider: Fast Track Diploma — 100% online for Nigerian students
Hero summary
Level 5 Diploma in Data Science — a higher-level, industry-facing online qualification that develops professional data science capability for real-world problems. This Level 5 programme moves beyond introductory analytics into robust model-building, data engineering foundations, ML Ops, model governance and stakeholder-focused data products. It’s built for Nigerian learners aiming for data scientist, senior analyst or analytics engineering roles, or for those progressing to HND/degree and postgraduate study.
Mode: 100% online — study from anywhere in Nigeria
Duration: Typical 36–52 weeks (fast-track and part-time self-paced options)
Assessment: Practical labs, code & project portfolios, research-style reports, peer review and a capstone deployment project
Qualification level: Regulated Level 5 (vocational higher education / second-year higher national level)
Why this course suits Nigerian students
Curriculum uses Nigeria-relevant datasets and case studies (fintech, agritech, telco, healthcare, retail and government analytics).
Low-bandwidth options, downloadable notebooks and guidance for offline work where connectivity is limited.
Focus on employability: portfolio projects, interview prep, freelancing strategies and employer engagement targeted at the Nigerian market.
Timed live support and workshops scheduled for West Africa Time (WAT).
Practical emphasis on production best practice — reproducible pipelines, ethical use of data and measurable business impact.
Who this course is for
Holders of Level 4 Data Science/IT/Data Analytics qualifications or equivalent workplace experience.
Data Analysts, BI Engineers, Junior Data Scientists or Developers wanting to advance to production ML and data engineering roles.
Managers and product owners who need technical fluency to lead data teams.
Career changers with a solid portfolio and mathematical aptitude.
Entry requirements (Nigerian applicants)
Typical entry: Level 4 Data Science/IT/related diploma, ND/HND progression, or 1–2 years’ relevant experience and a portfolio.
Solid foundation in Python and SQL is expected; comfort with basic statistics and linear algebra recommended.
Required: reliable internet, a laptop/desktop capable of running Python or access to cloud notebooks, and commitment to practical coding work.
Mature applicants with demonstrable project work or employer reference may be considered.
Study structure & learner support
Flexible pathways: full-time intensive or part-time self-paced routes with milestones and coach check-ins.
Practical labs: cloud notebooks, containerised exercises and low-bandwidth downloadable datasets.
Learning materials: video lessons, annotated code, templates, reproducible notebooks and Nigeria-focused labs.
Tutor & mentor support: personalised feedback, weekly office hours, code reviews and employer Q&A sessions (WAT).
Learning outcomes
On successful completion you will be able to:
Design and implement robust, reproducible data pipelines and ETL/ELT workflows.
Develop, evaluate and tune predictive models with appropriate validation and interpretability.
Deploy models to production, monitor performance and respond to model drift or incidents.
Apply advanced statistical methods and experimental design to measure impact.
Translate analytic findings into actionable business recommendations and dashboards.
Demonstrate professional practice in data governance, privacy and ethical model use.
Assessment & certification
Assessment consists of graded labs, code reviews, mini-projects, technical reports, peer review and a summative capstone assessed by rubric.
Award: Level 5 Diploma in Data Science issued by Fast Track Diploma.
Certification: digital certificate and transcript on completion; portfolio export (Git repo + deployed demo) for employer presentation.
Core modules (example curriculum)
Advanced Applied Statistics & Experimental Design — causal inference basics, advanced A/B testing, power analysis and uplift modelling.
Intermediate/Advanced Machine Learning — ensemble methods, regularisation, model selection, hyperparameter tuning and interpretability techniques.
Deep Learning Foundations (Applied) — neural networks for tabular, image or text tasks; transfer learning and model fine-tuning (practical intro).
Data Engineering Fundamentals — ETL/ELT patterns, data schemas, streaming vs batch, scheduling and data contracts.
SQL & Data Warehousing at Scale — advanced SQL (window functions, CTEs), star schemas, partitioning and performance tuning.
MLOps & Model Deployment — model packaging, CI/CD for models, containerisation, monitoring, drift detection and rollback strategies.
Feature Engineering & Automated Pipelines — feature stores, pipeline design and reproducibility.
Advanced Visualization & Storytelling — dashboard design for decision makers, metric frameworks and A/B result communication.
Data Governance, Privacy & Ethics — compliance, bias auditing, data lineage and responsible AI practices relevant to Nigerian regulatory context.
Industry Labs (Nigeria-focused) — domain projects in fintech risk, retail demand forecasting, crop yield analytics, public health surveillance.
Capstone Production Project — an end-to-end, deployable data product: data ingestion → modelling → deployment → monitoring with an executive brief and reproducible repo.
Career Outcomes & Progression
Roles recent graduates commonly move into: Data Scientist / Applied ML Associate Analytics Engineer / Data Engineer (entry to mid) Business Intelligence Lead / Senior Data Analyst ML Ops Engineer (junior) Progression: university degree top-up (BSc/HND → degree), postgraduate study, or specialist certifications (cloud, MLOps, deep learning).
Fees & Payment (Nigeria)
Competitive tuition with instalment plans, employer/group discounts and occasional scholarships. Contact Student Services for current NGN pricing, accepted payment channels (bank transfer, card, mobile money) and employer sponsorship options.
Frequently Asked Questions (FAQ)
Do I need strong math background? You should be comfortable with statistics and basic linear algebra. We provide refreshers, but practice is essential. Will I graduate with a deployable project? Yes — the capstone is designed to be reproducible and demonstrably deployable for employer review. Do you offer cloud credits or environments? We provide cloud notebook access and instructions; details depend on cohort arrangements. Can I work while studying? Yes — the course is structured for working learners with flexible pacing and evening/weekend support.
FAST TRACK DIPLOMA SUPPORTS ALL STUDENTS IN NIGERIA AND ITS TOWNS AND CITIES
| Lagos | Oyo | Ilesa | Ila |
|---|---|---|---|
| Kano | Sokoto | Gombe | Shaki |
| Ibadan | Owerri | Obafemi Owode | Ijero |
| Benin City | Yola | Owo | Ikot Ekpene |
| Port Harcourt | Calabar | Suleja | Jalingo |
| Aba | Umuahia | Lavun | Otukpo |
| Jos | Ondo | Potiskum | Okigwe |
| Ilorin | Minna | Kukawa | Kisi |
| Abuja | Lafia | Gusau | Buguma |
| Kaduna | Okene | Iwo | Funtua |
| Enugu | Katsina | Bida | Abakaliki |
| Zaria | Ikeja | Ugep | Asaba |
| Ogbomosho | Nsukka | Ijebu Ode | Gbongan |
| Warri | Ado Ekiti | Epe | Igboho |
| Ikorodu | Awka | Ise Ekiti | Gashua |
| Maiduguri | Iseyin | Gboko | Bama |
| Ife | Mubi | Ilawe Ekiti | Uromi |
| Bauchi | Onitsha | Ikare | |
| Akure | Sagamu | Osogbo | |
| Abeokuta | Makurdi | Okpoko | |
| Uyo | Mokwa | Garki | |
| Badagry | Sapele |
