Skip to main content
FORWARD
University
Under review

Master of Science in Cybersecurity and Digital Forensics

Uganda's critical financial, identity and public service infrastructure is now digital, and the national capacity to investigate, attribute and defend against attacks on it is thin. This programme builds senior defenders, investigators and ...

MScHybrid18 months (3 semesters)Intake August 202790 credit units

Employment thesis

What this programme is designed to produce

Forward publishes the destination of every programme before you enrol. If the thesis stops holding, the programme is reviewed and, where necessary, retired. Next review: 2031.

Roles

  • Head of security operations
  • incident response lead
  • forensic examiner and expert witness
  • security architect
  • threat intelligence lead
  • assurance and audit lead
  • regulator or investigator.

Employer types

  • Banks and payment operators
  • telecommunications
  • national security, revenue and identity agencies
  • law enforcement
  • managed security providers
  • regulators
  • audit firms.

Target outcomes we hold ourselves to

  • An acute national and regional shortage at senior level, with immediate absorption and consulting demand.

Compulsory · The Forward Core

How the Core works →

Every Forward programme, including this one, carries the same five cross-cutting requirements. They are graded, not optional.

  • AI Fluency
  • Quantitative Reasoning
  • Ethics and African Context
  • Human-Advantage Skills
  • Enterprise

Includes 12 months paid work-integrated learning

Read the co-op commitment

Am I eligible?

Check yourself against the published requirements

7 questions written specifically for Master of Science in Cybersecurity and Digital Forensics. Every answer is checked against a requirement Forward has published, and the result tells you which page that requirement comes from. Indicative only, the admissions office decides on your full file.

Question 1 of 70%

What is the highest qualification you hold?

Requirement tested: A completed bachelor's degree in a cognate field, or a recognised equivalent with professional experience.

Curriculum structure

The same degree, in both pathways

Every Forward programme is published in both pathways: Path One, the term plan of two six-month terms, and Path Two, the block sequence of twelve four-week blocks. Same competencies, same assessments, same award. Toggle to see this programme in each.

Path One term plan shown

Path One · The Term Model

TERM 1 (SIX MONTHS) | FORMERLY SEMESTER 1Year 1
30 credit units
CodeCourseCUHours
FDC 501
Applied Intelligence for Professionals
Both
42-2-0
FDC 502
Research Evidence and Method
Both
42-2-0
AIC 510
Advanced Network and Systems Security
Both
64-2-2
AIC 511
Applied Cryptography and Protocol Analysis
Both
64-2-2
AIC 512
Digital Forensics: Acquisition, Analysis and Evidence
Performance
63-2-4
AIC 513
Cyber Law, Evidence and Expert Testimony
Objective
43-2-0
TERM 2 (SIX MONTHS) | FORMERLY SEMESTER 2Year 1
29 credit units
CodeCourseCUHours
FDC 503
Governance, Ethics and Leadership of Intelligent Systems
Both
42-2-0
AIC 520
Advanced Incident Response and Threat Hunting
Performance
71-0-12
AIC 521
Offensive Security and Adversary Emulation
Performance
63-2-4
AIC 522
Security of Machine Learning and Agentic Systems
Performance
63-2-4
AIC 523
Security Governance, Risk and Board Reporting
Objective
65-2-0
TERM 3 (SIX MONTHS) | FORMERLY SEMESTER 3:Year 2
30 credit units
CodeCourseCUHours
AIC 530
Major Investigation or Defence Project (client verified)
Performance
200-2-38
AIC 531
Threat Intelligence Practicum
Performance
51-0-8
AIC 532
Critical Infrastructure and Payments Security
Both
53-2-2

Total credit units: 89

Curriculum source

Forward University Curriculum Compendium

Assessment

Coursework + project + integrated exam

Work-integrated learning

12 months paid co-operative education

Your week at Forward

A typical week on Master of Science in Cybersecurity and Digital Forensics

Path One, the Term Model: your own pace across a six-month term, one live session a week, short flexible lessons, and assessment on demand.

Monday

Tuesday

Wednesday

Thursday

Friday

Mandatory live session Flexible bite-sized lesson Optional event

Curriculum explorer

Drill into the degree, step by step

Choose a study path, then a year, then a term or block, then a course. Credit totals add up as you go, and every course shows what comes before it and what it unlocks.

Step 1, choose a year

Step 2, choose a term

TERM 1 (SIX MONTHS) | FORMERLY SEMESTER 1

Year 1 · this step is worth 30 CU

Cumulative

30

Programme total

90

30 CU of 90 CU completed by the end of this step (33%)

Step 3, choose a course

Pick a course to see the detail

Credits, assessment, prerequisites and what each course unlocks later.

The twelve Forward capabilities

What this programme develops in you

Every Forward degree develops the same twelve cross-cutting capabilities. The profile below is the level this programme is designed to develop and verify by graduation, on the four-level scale in Part B2 of the Curriculum Compendium. Every claim above Level 2 is verified by someone other than the teaching lecturer.

  • C1Intelligent Systems FluencyLevel 4 of 4, Leading
  • C2Quantitative and Evidential ReasoningLevel 4 of 4, Leading
  • C3Ethical and Contextual Judgement CriticalLevel 3 of 4, Independent
  • C4Communication and PersuasionLevel 4 of 4, Leading
  • C5Disciplinary Mastery CriticalLevel 4 of 4, Leading
  • C6Technical Production and Craft CriticalLevel 4 of 4, Leading
  • C7Problem Framing and Systems ThinkingLevel 4 of 4, Leading
  • C8Collaboration and Multidisciplinary TeamingLevel 3 of 4, Independent
  • C9Enterprise, Value and Commercial LiteracyLevel 3 of 4, Independent
  • C10Professional Conduct and Workplace Performance CriticalLevel 4 of 4, Leading
  • C11Learning to Learn and Adaptive CapacityLevel 4 of 4, Leading
  • C12Stewardship and Public ContributionLevel 3 of 4, Independent

Critical capabilities for this programme: Ethical and Contextual Judgement · Disciplinary Mastery · Technical Production and Craft · Professional Conduct and Workplace Performance. A graduate cannot pass out of this programme below the stated level on any capability marked critical.

Programme Learning Outcomes

What you will be able to do

Each outcome is assessed, and each is tagged with the Forward capabilities it is verified against.

  1. PLO 1Lead the detection, containment and recovery of a significant security incident.
  2. PLO 2Conduct a forensically sound investigation and present findings as an expert witness.
  3. PLO 3Design security architecture for a complex regulated estate.
  4. PLO 4Assess and defend machine learning and agentic systems.
  5. PLO 5Build and lead a threat intelligence and adversary emulation capability.
  6. PLO 6Advise a board and a regulator on cyber risk in financial and legal terms.

Why this programme exists

Uganda's critical financial, identity and public service infrastructure is now digital, and the national capacity to investigate, attribute and defend against attacks on it is thin. This programme builds senior defenders, investigators and assurance leaders, with an explicit stream on the security of machine learning systems and on evidence standards admissible in Ugandan and regional proceedings.

Admission requirements

A Bachelor's degree of at least Second Class Lower Division in computing, engineering or a cognate discipline, or a Bachelor's in another discipline with at least three years of relevant security, audit or investigative experience. Alternative pathways: Foundation Year, diploma entry with advanced standing, mature age entry and recognition of prior learning, all governed by Part A5 and Part G. Online applicants additionally complete the compulsory Digital Readiness orientation under Part D6.

AI & Computing

Other open programmes in this School

BSc (Hons)

Bachelor of Science in Artificial Intelligence

Artificial intelligence and big data is the fastest growing skill category in the world, two thirds of employers intend to hire specifically for it, and the measured wage premium for demonstrable AI capability now exceeds sixty per cent of ...

View programme
BSc (Hons)

Bachelor of Science in Data Science and Analytics

Every institution in Uganda now holds more data than it can interpret, and almost none of them can convert it into a decision. The gap is not modelling talent; it is the far scarcer ability to move from a messy administrative dataset to a d...

View programme
BSc (Hons)

Bachelor of Science in Software Engineering with Intelligent Systems

The largest addressable domestic technology market in Uganda is software, and the largest single complaint from employers is that graduates can pass an algorithms examination but have never shipped anything to a user, never operated a syste...

View programme
BSc (Hons)

Bachelor of Science in Cybersecurity and Digital Trust

Uganda is digitising public services, payments and identity faster than it is producing people qualified to defend them, and the shortage is acute at exactly the level — hands on defensive operations — where the region's degree programmes a...

View programme
BSc (Hons)

Bachelor of Science in Computer Science with Advanced and Quantum Computing

Every serious technology economy needs a small number of people who understand computation deeply enough to build the layer everyone else stands on: compilers, runtimes, schedulers, numerical kernels, cryptographic primitives and, increasin...

View programme
MSc

Master of Science in Machine Learning and Foundation Models

A research intensive degree for the small number of people who will build, adapt and evaluate frontier-class models on and for the continent. It exists because Africa is acquiring accelerated computing faster than it is acquiring the people...

View programme
MSc

Master of Science in Applied Artificial Intelligence

A practitioner conversion degree for working professionals — clinicians, bankers, engineers, agronomists, civil servants, teachers, lawyers — who need to build and govern intelligent systems in their own sector rather than become research s...

View programme
MSc

Master of Science in Data Engineering and Cloud Architecture

Every organisation that wants intelligent systems discovers first that it cannot get to its own data. Data engineering is the least glamorous and most binding constraint on African AI adoption, and it is almost entirely untaught at postgrad...

View programme
PhD

Doctor of Philosophy in Artificial Intelligence

Africa cannot import its way to research capacity. This doctorate is designed to produce researchers who will stay, supervise, and build institutions, and it therefore carries two requirements unusual in the region: every candidate must pub...

View programme