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Master of Business Administration in Artificial Intelligence and Digital Strategy

Most executive education about artificial intelligence teaches leaders to talk about it. This degree teaches them to decide about it: which processes to automate, what to build against what to buy, how to price the risk, how to restructure ...

MBAHybrid18 months (3 semesters)Intake August 202790 credit units

The four facts

What you actually need to compare

Award and entry
MBA
A
Duration and mode
18 months (3 semesters)
Hybrid. Includes 12 months of paid, assessed cooperative education.
Cost
UGX 3,300,000 per year
Tier 1 laboratory classification. Includes UGX 300,000 annual laboratory premium.
Outcome targeted
Chief executive and general manager, chief digital or transformation officer, head of strategy
Reviewed by 2031. If the thesis stops holding, the programme is reviewed.
Fee structure Key dates 90 credit units

Pricing Model 5.1 · The Forward Standard

Master of Business Administration in Artificial Intelligence and Digital Strategy fee

UGX 3,300,000 per year

Laboratory tier
Tier 1
Annual premium
UGX 300,000
Per semester
UGX 1,650,000
Whole programme
UGX 4,950,000
Approximate USD
≈ USD 1,303

What this fee includes

  • Teaching, practice tutoring, assessment and competency verification
  • The Amagezi platform and AI tutor around the clock
  • All learning materials
  • Every examination, including first resits
  • Identity card, library, guild, sports and basic wellbeing
  • Co-op placement matching and the Capability Passport
  • Graduation and the statutory NCHE fee
  • Online application

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

  • Chief executive and general manager
  • chief digital or transformation officer
  • head of strategy
  • senior consultant
  • board member
  • head of function in a transforming organisation.

Employer types

  • Banks, telecommunications operators and insurers
  • large corporates and family groups
  • government agencies and parastatals
  • consulting firms
  • development organisations
  • and high growth ventures.

Target outcomes we hold ourselves to

  • Senior executive advancement, with the programme priced to cross subsidise undergraduate scholarship access.

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 Business Administration in Artificial Intelligence and Digital Strategy. 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
DBF 510
Financial and Managerial Accounting for Executives
Both
53-2-2
DBF 511
Strategy in Digital and Platform Markets
Both
64-2-2
DBF 512
Data, Analytics and Decision Making
Performance
63-2-4
DBF 513
Artificial Intelligence Foundations for Leaders
Performance
52-2-4
TERM 2 (SIX MONTHS) | FORMERLY SEMESTER 2Year 1
30 credit units
CodeCourseCUHours
FDC 503
Governance, Ethics and Leadership of Intelligent Systems
Both
42-2-0
DBF 520
Operating Model Redesign and Automation Economics
Both
64-2-2
DBF 521
Leading Change, Talent and Culture
Both
64-2-2
DBF 522
Technology Governance, Risk and Accountability
Both
53-2-2
DBF 523
Corporate Finance, Investment and Valuation
Both
64-2-2
DBF 524
Advanced Elective
Objective
32-2-0
TERM 3 (SIX MONTHS) | FORMERLY SEMESTER 3:Year 2
30 credit units
CodeCourseCUHours
DBF 530
Strategic Project: Organisational Transformation Commission
Performance
200-2-38
DBF 531
Negotiation, Influence and Board Communication
Performance
51-0-8
DBF 532
Ethics, Responsibility and the Social Licence
Objective
54-2-0

Total credit units: 90

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 Business Administration in Artificial Intelligence and Digital Strategy

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 Fluency CriticalLevel 4 of 4, Leading
  • C2Quantitative and Evidential ReasoningLevel 4 of 4, Leading
  • C3Ethical and Contextual JudgementLevel 3 of 4, Independent
  • C4Communication and PersuasionLevel 4 of 4, Leading
  • C5Disciplinary MasteryLevel 4 of 4, Leading
  • C6Technical Production and CraftLevel 4 of 4, Leading
  • C7Problem Framing and Systems Thinking CriticalLevel 4 of 4, Leading
  • C8Collaboration and Multidisciplinary Teaming CriticalLevel 3 of 4, Independent
  • C9Enterprise, Value and Commercial Literacy CriticalLevel 3 of 4, Independent
  • C10Professional Conduct and Workplace PerformanceLevel 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: Intelligent Systems Fluency · Problem Framing and Systems Thinking · Collaboration and Multidisciplinary Teaming · Enterprise, Value and Commercial Literacy. 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 1Formulate and defend a technology enabled strategy for a real organisation.
  2. PLO 2Evaluate the business case, risk and return of an intelligent systems investment.
  3. PLO 3Lead organisational change, capability building and workforce transition.
  4. PLO 4Exercise governance and accountability over automated decision making.
  5. PLO 5Read financial statements and structure financing for transformation.
  6. PLO 6Communicate strategy persuasively to boards, staff and markets.

Why this programme exists

Most executive education about artificial intelligence teaches leaders to talk about it. This degree teaches them to decide about it: which processes to automate, what to build against what to buy, how to price the risk, how to restructure ...

Admission requirements

A Bachelor's degree of at least Second Class Lower Division and a minimum of three years of professional or managerial experience. Applicants with substantial senior experience but non-standard qualifications may enter through recognition of prior learning under Part G3. 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.