Department of
Knowledge Systems
Documentation and Academic Structure of the Department
The Department of Knowledge Systems examines how knowledge itself is organized, classified, and systematized — taxonomy, ontology, and classification theory — distinct from the Department of Information Architecture, which designs the structural systems that deliver information, and the Department of Documentation Studies, which examines documentation practice specifically.
Classification systems have a documented history of encoding bias — treating non-dominant knowledge traditions as a marginal “other” category rather than integrating them on equal footing. This Department studies classification while actively reviewing for exactly that bias.
This document establishes the Department’s complete academic and institutional documentation architecture across seven structural layers.
Foundational Framework
Governing Field. Human Formation, examined through the discipline of Knowledge Systems — the systematic study of taxonomy, ontology, and the classification structures by which knowledge is organized.
Central Premise. Every classification system embeds a set of assumptions about what counts as central and what counts as peripheral, and those assumptions have historically marginalized knowledge traditions outside the classifier’s own frame of reference. A classification system built honestly reviews itself for that embedded bias rather than assuming its own neutrality.
Foundational Theoretical Anchor. The Department operates under the Principle of Methodological Integrity established by the Department of Research Methodology, and coordinates closely with the Department of Civilization Studies (Faculty IV, Principle of Source Sovereignty) and the Department of Language and Linguistic Studies (Faculty VIII, Principle of Linguistic Equity), applying both Departments’ standards to knowledge classification specifically.
Programme List
The Department offers a complete academic ladder from foundational study through doctoral research.
Delivery Framework
The Department is delivered online-first, using structured cohort-based study supported by Module Specifications, Study Guides, Teaching Manuals, and Assessment Briefs for every unit, consistent with the Institute’s established production standard.
Curriculum
The BA (Honours) Knowledge Systems curriculum proceeds across four levels, numbered KS101 through KS111, following the Institute’s core pedagogical standard: scaffolded progression from structured instruction toward fully independent, bias-audited classification design.
| Level | Focus | Modules |
|---|---|---|
| Level 4 | Foundations of Knowledge Systems; the neutral–embedded distinction; introduction to taxonomy and ontology theory | KS101–KS104 |
| Level 5 | Comparative classification traditions; history of classificatory bias; ethics of knowledge organization | KS105–KS107 |
| Level 6 | Independent classification system research; capstone applied taxonomy design study; specialization electives | KS108–KS109 |
| Level 7 (MA) | Advanced knowledge systems theory; classification and Human Formation; research methods; dissertation | KS110–KS111 |
Key Pedagogical Standard. Every module moves the learner from structured instruction toward the independent capacity to audit a classification system for embedded bias before deploying it — no learner exits the programme building a classification system that marginalizes non-dominant knowledge traditions as a peripheral “other” category.
Research Fields and Centres
The Department maintains the following primary research fields:
Centre for Knowledge Systems
The Department’s standing research centre, coordinating cross-domain research with the Department of Research Methodology, the Department of Civilization Studies (Faculty IV), and the Department of Language and Linguistic Studies (Faculty VIII).
Assessment and Ethics
Assessment in the Department evaluates a learner’s competence in classification theory and their demonstrated capacity to audit systems for embedded bias — never a reward for a taxonomy that treats non-dominant knowledge traditions as marginal without examining why.
Because classification systems have a documented history of encoding bias against non-dominant knowledge traditions, the Department applies a dedicated integrity principle.
Award Titles
Public-Facing Department Page
The Department of Knowledge Systems is where the Institute studies how knowledge is organized and classified — every taxonomy actively audited for embedded bias, never assumed neutral by default. As a sibling Department of Faculty IX, it treats classification as a decision with real consequences for whose knowledge counts as central.
Learners join a structured academic pathway from Certificate through PhD, moving from guided foundational study toward independent, bias-audited classification research, supported at every level by the Institute’s full documentation standard: Module Specifications, Study Guides, Teaching Manuals, and Assessment Briefs.
Permanent Department Documentation Order
The permanent documentation order of the Department, restated for reference:
Delivery Framework Detail
Programme Specification I — Certificate in Knowledge Systems
Programme Specification II — Diploma in Knowledge Systems
Programme Specification III — BA Knowledge Systems
Programme Specification IV — BA (Honours) Knowledge Systems
Programme Specification V — Postgraduate Certificate in Knowledge Systems
Programme Specification VI — Postgraduate Diploma in Knowledge Systems
Programme Specification VII — MA Knowledge Systems
Programme Specification VIII — Specialized Master’s in Knowledge Systems
Programme Specification IX — MRes Knowledge Systems
Programme Specification X — MPhil Knowledge Systems
Programme Specification XI — PhD Knowledge Systems
Programme Specification XII — Professional Practice Certificate in Knowledge Classification Consulting
Summary Programme Table
A consolidated summary of all twelve programmes offered by the Department.
| Award | Abbreviation | Duration | Credits | Tuition |
|---|---|---|---|---|
| Certificate in Knowledge Systems | CertKS | 6–12 months | 60 credits | ₦450,000 |
| Diploma in Knowledge Systems | DipKS | 1 year | 120 credits | ₦850,000 |
| BA Knowledge Systems | BA KS | 3 years | 360 credits | ₦2,400,000 |
| BA (Honours) Knowledge Systems | BA(Hons) KS | 4 years | 480 credits | ₦3,100,000 |
| Postgraduate Certificate in Knowledge Systems | PGCert KS | 6 months | 60 credits | ₦900,000 |
| Postgraduate Diploma in Knowledge Systems | PGDip KS | 9 months | 120 credits | ₦1,600,000 |
| MA Knowledge Systems | MA KS | 1 year (FT) / 2 years (PT) | 180 credits | ₦2,900,000 |
| Specialized Master’s in Knowledge Systems | MA KS (Spec.) | 1 year (FT) / 2 years (PT) | 180 credits | ₦3,200,000 |
| MRes Knowledge Systems | MRes KS | 1 year (FT) / 2 years (PT) | 180 credits | ₦3,400,000 |
| MPhil Knowledge Systems | MPhil KS | 2 years (FT) / 3 years (PT) | 240 credits | ₦5,600,000 |
| PhD Knowledge Systems | PhD KS | 3–4 years (FT) / 5–6 years (PT) | 360 credits | ₦9,100,000+ |
| Professional Practice Certificate in Knowledge Classification Consulting | PPC KCC | 6–9 months | 60 credits (practice-based) | ₦1,100,000 |
Credit Framework
The Department applies the Institute’s standard credit framework: one credit represents approximately 10 notional learning hours, inclusive of guided instruction, independent study, knowledge classification consulting practicum where applicable, and assessment.
| Level | Credits (Full Level) | Notional Learning Hours |
|---|---|---|
| Level 4 (Certificate/Year 1) | 120 | 1,200 |
| Level 5 (Diploma/Year 2) | 120 | 1,200 |
| Level 6 (BA Year 3 / Honours Year) | 120–240 | 1,200–2,400 |
| Level 7 (Postgraduate/MA) | 180 | 1,800 |
| Level 8 (MPhil/PhD, research credit) | 240–360 | 2,400–3,600 |
Classificatory Equity Ethics Principle
Because classification systems have a documented history of encoding bias against non-dominant knowledge traditions, the Department’s ethical commitments govern every module, practicum, and research activity it authorizes.
This principle governs curriculum design, knowledge classification consulting practicum, assessment design, and all research conducted across the Department, and stands alongside the Principle of Methodological Integrity (Department of Research Methodology) as the second ethics principle documented within Faculty IX.
Tuition Principle
Tuition for every programme is published in full above, with no undisclosed fees. Where a learner’s circumstances warrant it, the Department may offer needs-based tuition adjustment, cohort scholarships, or staged payment plans, at the discretion of the Institute’s admissions and finance offices.
Tuition figures reflect the Institute’s standard credit-based tuition model and are reviewed annually.
Final Delivery and Access Declaration
The Department of Knowledge Systems is delivered online-first to maximize access for learners regardless of geographic location, with structured cohort support, complete documentation for every module, and a clear pathway from Certificate through PhD. No learner shall be required to relocate to access any taught programme offered by this Department.
Final Structural Declaration
The Department of Knowledge Systems stands as a sibling Department of Faculty IX, holding classification and taxonomy to a standard of active bias review rather than assumed neutrality. Every award, module, and research activity documented above proceeds through the Department’s permanent structural chain:
This chain governs the Department of Knowledge Systems now and permanently, coordinated with, and answerable to, the Principle of Methodological Integrity held by the Department of Research Methodology.