CYTOG HUMAN FORMATION AND LEARNING
Faculty IX · Research, Knowledge and Human Systems

Department of

Knowledge Systems

Complete Academic and Institutional Documentation Architecture
Academic Field: Knowledge Systems · Authority: Sibling Department, Faculty IX · CYTOG HUMAN FORMATION AND LEARNING · July 2026

Section I

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.

Field → Department → Programme → Curriculum → Module → Assessment → Research → Formation Practice → Award → Graduate

Stage One · Foundational Framework

Section II

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.

A CLASSIFICATION SYSTEM THAT NEVER QUESTIONS ITS OWN NEUTRALITY HAS FORGOTTEN THAT SOMEONE BUILT IT.

Stage Two · Programme List

Section III

Programme List

The Department offers a complete academic ladder from foundational study through doctoral research.

Certificate in Knowledge Systems
Diploma in Knowledge Systems
BA (Honours) Knowledge Systems
Postgraduate Certificate in Knowledge Systems
Postgraduate Diploma in Knowledge Systems
MA Knowledge Systems
MRes Knowledge Systems
MPhil Knowledge Systems
PhD Knowledge Systems
Professional Practice Certificate in Knowledge Classification Consulting

Stage Three · Delivery Framework

Section IV

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.

Structured Instruction
Levels 4–5 establish foundational vocabulary and theory concerning taxonomy, ontology, and classification structures.

Scaffolded Independence
Levels 6–7 progressively require independent classification system research and design.

Cohort-Based Study
Learners progress in structured cohorts, supporting collaborative audit of classification systems for embedded bias.

Distance and Blended Access
All programmes are available by distance; the Professional Practice Certificate includes supervised practicum in knowledge classification consulting.

Stage Four · Curriculum

Section V

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.

Stage Five · Research Fields and Centres

Section VI

Research Fields and Centres

The Department maintains the following primary research fields:

Taxonomy and Ontology Theory
History of Classificatory Bias
Knowledge Systems and Civilization Studies (joint with Faculty IV, Principle of Source Sovereignty)
Knowledge Systems and Language and Linguistic Studies (joint with Faculty VIII, Principle of Linguistic Equity)
Comparative Non-Western Classification Traditions
Knowledge Systems and Information Architecture (joint with Department of Information Architecture)
Ethics of Knowledge Classification
Knowledge Systems and Documentation Studies (joint with Department of Documentation Studies)

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).

Stage Six · Assessment and Ethics

Section VII

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.

THE PRINCIPLE OF CLASSIFICATORY EQUITY: no knowledge classification system developed, taught, or deployed within this Department shall encode a hierarchy that treats a non-dominant knowledge tradition as inherently lesser or marginal. Every classification system produced by this Department shall be actively reviewed for embedded bias before deployment, not assumed neutral by default.

Stage Seven · Award Titles

Section VIII

Award Titles

I.
Certificate in Knowledge Systems

II.
Diploma in Knowledge Systems

III.
BA (Honours) Knowledge Systems

IV.
Postgraduate Certificate in Knowledge Systems

V.
Postgraduate Diploma in Knowledge Systems

VI.
MA Knowledge Systems

VII.
MRes Knowledge Systems

VIII.
MPhil Knowledge Systems

IX.
PhD Knowledge Systems

X.
Professional Practice Certificate in Knowledge Classification Consulting

Section IX

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.

Section X

Permanent Department Documentation Order

The permanent documentation order of the Department, restated for reference:

I.
Foundational Framework

II.
Programme List

III.
Delivery Framework

IV.
Curriculum

V.
Research Fields and Centres

VI.
Assessment and Ethics

VII.
Award Titles

Part Twelve · Delivery Framework Detail

Section XI

Delivery Framework Detail

Study Modes
Online-first; cohort-based; blended for professional practice components

Typical Cohort Size
20–40 learners per intake at undergraduate level; 10–20 at postgraduate and research level

Academic Calendar
Three intakes annually (January, May, September)

Language of Instruction
English

Knowledge Classification Consulting Practicum
Supervised, bias-audit protocol required; mandatory for the Professional Practice Certificate

Section XII

Programme Specification I — Certificate in Knowledge Systems

Award
Certificate in Knowledge Systems

Abbreviation
CertKS

Study Modes
Online-first, part-time

Duration
6–12 months

Credit Requirement
60 credits

Tuition
₦450,000

Section XIII

Programme Specification II — Diploma in Knowledge Systems

Award
Diploma in Knowledge Systems

Abbreviation
DipKS

Study Modes
Online-first, part-time or full-time

Duration
1 year

Credit Requirement
120 credits

Tuition
₦850,000

Section XIV

Programme Specification III — BA Knowledge Systems

Award
BA Knowledge Systems

Abbreviation
BA KS

Study Modes
Online-first, full-time or part-time

Duration
3 years

Credit Requirement
360 credits

Tuition
₦2,400,000

Section XV

Programme Specification IV — BA (Honours) Knowledge Systems

Award
BA (Honours) Knowledge Systems

Abbreviation
BA(Hons) KS

Study Modes
Online-first, full-time or part-time

Duration
4 years

Credit Requirement
480 credits

Tuition
₦3,100,000

Section XVI

Programme Specification V — Postgraduate Certificate in Knowledge Systems

Award
Postgraduate Certificate in Knowledge Systems

Abbreviation
PGCert KS

Study Modes
Online-first, part-time

Duration
6 months

Credit Requirement
60 credits

Tuition
₦900,000

Section XVII

Programme Specification VI — Postgraduate Diploma in Knowledge Systems

Award
Postgraduate Diploma in Knowledge Systems

Abbreviation
PGDip KS

Study Modes
Online-first, part-time

Duration
9 months

Credit Requirement
120 credits

Tuition
₦1,600,000

Section XVIII

Programme Specification VII — MA Knowledge Systems

Award
MA Knowledge Systems

Abbreviation
MA KS

Study Modes
Online-first, full-time or part-time

Duration
1 year (FT) / 2 years (PT)

Credit Requirement
180 credits

Tuition
₦2,900,000

Section XIX

Programme Specification VIII — Specialized Master’s in Knowledge Systems

Award
Specialized Master’s in Knowledge Systems

Abbreviation
MA KS (Spec.)

Study Modes
Online-first, full-time or part-time

Duration
1 year (FT) / 2 years (PT)

Credit Requirement
180 credits

Tuition
₦3,200,000

Section XX

Programme Specification IX — MRes Knowledge Systems

Award
MRes Knowledge Systems

Abbreviation
MRes KS

Study Modes
Online-first, research-led

Duration
1 year (FT) / 2 years (PT)

Credit Requirement
180 credits

Tuition
₦3,400,000

Section XXI

Programme Specification X — MPhil Knowledge Systems

Award
MPhil Knowledge Systems

Abbreviation
MPhil KS

Study Modes
Research-led, supervised

Duration
2 years (FT) / 3 years (PT)

Credit Requirement
240 credits

Tuition
₦5,600,000

Section XXII

Programme Specification XI — PhD Knowledge Systems

Award
PhD Knowledge Systems

Abbreviation
PhD KS

Study Modes
Research-led, supervised

Duration
3–4 years (FT) / 5–6 years (PT)

Credit Requirement
360 credits

Tuition
₦9,100,000+

Section XXIII

Programme Specification XII — Professional Practice Certificate in Knowledge Classification Consulting

Award
Professional Practice Certificate in Knowledge Classification Consulting

Abbreviation
PPC KCC

Study Modes
Blended, supervised practicum

Duration
6–9 months

Credit Requirement
60 credits (practice-based)

Tuition
₦1,100,000

Section XXIV

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

Section XXV

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

Section XXVI

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.

THE PRINCIPLE OF CLASSIFICATORY EQUITY (restated as governing Department ethic): this Department builds classification systems that examine their own assumptions, never systems that assume their own neutrality by default. No graduate of this Department deploys a taxonomy without first auditing it for bias against traditions outside its own frame of reference.

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.

Section XXVII

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.

Section XXVIII

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.

Section XXIX

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:

Field → Department → Programme → Curriculum → Module → Assessment → Research → Formation Practice → Award → Graduate

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.