Bachelor of Science in Business Artificial Intelligence
Employers report that the scarcest artificial intelligence skill is not model building but translation: the person who can look at a business process, judge where an intelligent system would actually pay, specify it, get it adopted and prov...
The four facts
What you actually need to compare
- Award and entry
- BSc (Hons)
- U
- Duration and mode
- 3 years (6 semesters)
- Hybrid. Includes 12 months of paid, assessed cooperative education.
- Cost
- UGX 2,700,000 per year
- Tier 1 laboratory classification. Includes UGX 300,000 annual laboratory premium.
- Outcome targeted
- Business analyst and AI transformation analyst, process automation specialist, product manager
- Reviewed by 2031. If the thesis stops holding, the programme is reviewed.
Pricing Model 5.1 · The Forward Standard
Bachelor of Science in Business Artificial Intelligence fee
UGX 2,700,000 per year
- Laboratory tier
- Tier 1
- Annual premium
- UGX 300,000
- Per semester
- UGX 1,350,000
- Whole programme
- UGX 8,100,000
- Approximate USD
- ≈ USD 2,132
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
- Business analyst and AI transformation analyst
- process automation specialist
- product manager
- revenue and operations analyst
- management consultant
- customer intelligence analyst
- digital transformation officer
- enterprise systems analyst.
Employer types
- Banks, telecommunications operators and insurers
- consulting and professional services firms
- consumer goods and retail groups
- logistics companies
- technology firms
- government agencies undergoing digital transformation
- and development organisations.
Target outcomes we hold ourselves to
- The largest addressable graduate employment market of any programme in this School, with strong salary progression and international remote demand for analyst roles.
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
Am I eligible?
Check yourself against the published requirements
7 questions written specifically for Bachelor of Science in Business Artificial Intelligence. 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.
What is the highest qualification you hold or are completing?
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
| Code | Course | CU | Hours |
|---|---|---|---|
| FDC 101 | AI Fluency I: How Intelligent Systems Work Both | 4 | 2-2-0 |
| DBF 110 | Foundations of Business and Organisations Objective | 4 | 3-2-0 |
| DBF 111 | Financial Accounting and Business Records Both | 5 | 3-2-2 |
| DBF 112 | Data Analysis and Spreadsheet Modelling Performance | 5 | 2-2-4 |
| DBF 113 | Programming for Business Analytics Performance | 4 | 1-2-4 |
| Code | Course | CU | Hours |
|---|---|---|---|
| FDC 102 | Quantitative Reasoning and Evidence Both | 4 | 2-2-0 |
| DBF 130 | Microeconomics and Market Analysis Both | 4 | 2-2-2 |
| DBF 131 | Statistics and Business Forecasting Both | 5 | 3-2-2 |
| DBF 132 | Business Process Analysis and Design Both | 5 | 3-2-2 |
| DBF 133 | Databases and Business Information Systems Performance | 4 | 1-2-4 |
| COP 190 | Workplace Immersion (4 weeks, recess term) Performance | 0 | 0-0-0 |
| Code | Course | CU | Hours |
|---|---|---|---|
| FDC 201 | Ethics, Society and the African Context Both | 4 | 2-2-0 |
| DBF 210 | Machine Learning for Business Decisions Performance | 5 | 2-2-4 |
| DBF 211 | Enterprise Systems and Process Automation Practicum Performance | 5 | 1-0-8 |
| DBF 212 | Marketing, Customer Analytics and Pricing Both | 5 | 3-2-2 |
| DBF 213 | Corporate Finance and Investment Appraisal Both | 3 | 1-2-2 |
| Code | Course | CU | Hours |
|---|---|---|---|
| FDC 202 | Human Advantage: Argument, Writing and Teams Both | 4 | 2-2-0 |
| COP 290 | Co-operative Education Placement I (6 months) Performance | 10 | 0-0-0 |
| DBF 230 | Consulting Practicum: Live Client Engagement Performance | 5 | 0-0-0 |
| DBF 231 | Operations and Supply Chain Analytics Both | 3 | 1-2-2 |
| Code | Course | CU | Hours |
|---|---|---|---|
| FDC 301 | AI Fluency II: Building, Evaluating and Auditing Both | 4 | 2-2-0 |
| COP 390 | Co-operative Education Placement II (6 months) Performance | 10 | 0-0-0 |
| DBF 310 | Artificial Intelligence Strategy and Organisational Adoption Both | 5 | 3-2-2 |
| DBF 311 | Data Governance, Privacy and Algorithmic Accountability Both | 3 | 1-2-2 |
| Code | Course | CU | Hours |
|---|---|---|---|
| FDC 302 | Enterprise, Employability and Financial Literacy Both | 4 | 2-2-0 |
| FDC 401 | AI Fluency III: Domain Deployment, Governance and Assurance Both | 3 | 1-2-0 |
| FDC 402 | Capability Portfolio and Day One Preparation Both | 3 | 1-2-0 |
| DBF 330 | Business AI Capstone: Enterprise Commission (client verified) Performance | 8 | 0-2-14 |
| DBF 331 | Strategy, Competition and Business Model Design Both | 4 | 2-2-2 |
Total credit units: 132
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 Bachelor of Science in Business Artificial Intelligence
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
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 YEAR 1, SEMESTER 1
Year 1 · this step is worth 22 CU
Cumulative
22
Programme total
132
22 CU of 132 CU completed by the end of this step (17%)
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 Reasoning CriticalLevel 4 of 4, Leading
- C3Ethical and Contextual JudgementLevel 4 of 4, Leading
- C4Communication and PersuasionLevel 4 of 4, Leading
- C5Disciplinary MasteryLevel 3 of 4, Independent
- C6Technical Production and CraftLevel 3 of 4, Independent
- C7Problem Framing and Systems Thinking CriticalLevel 4 of 4, Leading
- C8Collaboration and Multidisciplinary TeamingLevel 4 of 4, Leading
- C9Enterprise, Value and Commercial Literacy CriticalLevel 4 of 4, Leading
- 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 · Quantitative and Evidential Reasoning · Problem Framing and Systems Thinking · 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.
- PLO 1Diagnose a business process and quantify where intelligent systems create measurable value.
- PLO 2Build analytical and predictive models on real business data and interpret them commercially.
- PLO 3Specify, procure and evaluate an intelligent system against a business case.
- PLO 4Design and implement process automation and measure its effect.
- PLO 5Lead adoption and change in an organisation resistant to it.
- PLO 6Apply data protection, competition, consumer and algorithmic accountability obligations.
- PLO 7Present analysis and recommendations persuasively to executive audiences.
Why this programme exists
Employers report that the scarcest artificial intelligence skill is not model building but translation: the person who can look at a business process, judge where an intelligent system would actually pay, specify it, get it adopted and prov...
Admission requirements
UACE with two principal passes in any subjects, plus UCE with five passes including Mathematics and English. A demonstrated numeracy assessment is required at admission. 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.