Capstone · 15 ECTS
Build a Complete AI Venture
Technical prototype · Market validation · Financial model · Investor pitch deck — judged by faculty and external practitioners in a live final presentation.
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BBA Program · Geneva, Switzerland
Build the Future
With AI &
Entrepreneurship
A fully online, 3-year BBA that teaches you to build AI products, launch ventures, and lead in the economy that's taking shape right now.
3 Yrs
Programme Duration
180 ECTS
Credit Hours
34+
Courses & Modules
$3K
Per Year Tuition
Program Overview
Where AI Meets
Entrepreneurial Vision
This is the degree that didn't exist 5 years ago. You won't just study AI — you'll use it. You won't just study entrepreneurship — you'll practice it.
Degree
BBA in AI & Entrepreneurship
Duration
3 Years · 6 Semesters
Format
100% Online · Live + Async
Institution
SITE Geneva, Switzerland
Each Course
10–15h Content + 6–8h Live
Tuition
$3,000 / year
The degree built for the AI generation
Understand AI and machine learning principles — build, train, and evaluate real AI models.
Apply prompt engineering, Python, and AI APIs to solve business and entrepreneurial problems.
Build and launch AI-powered products using design thinking, MVPs, and startup methodology.
Develop financial models, market sizing (TAM/SAM/SOM), pricing strategies, and go-to-market plans.
Apply technology law, IP, and responsible AI governance to protect and scale ventures.
Lead cross-functional teams and manage technology projects using agile and ethical frameworks.
Core Skills
What You Will Learn
Six domains that make you both a builder and a business leader in the AI era.
01
AI Engineering & Development
From Python basics to deep learning, LLMs, and production AI — you build real systems from day one. Colab labs, model training, RAG architectures, and Gradio apps.
02
Startup Building & Venture Strategy
Idea validation, MVPs, design thinking, fundraising from seed to Series B, cap tables, term sheets, and investor pitch decks. You build a venture, not a case study.
03
Financial Intelligence
Unit economics, burn rate, runway, TAM/SAM/SOM modelling, SaaS metrics, and reading investor-ready financials. No MBA jargon — just the numbers founders live by.
04
Data Science & Analytics
Python, pandas, NumPy, statistics, regression, A/B testing. You learn to answer real business questions with data, not to become a pure data scientist.
05
Product & Growth Thinking
UX design, product roadmapping, AI-powered marketing, growth hacking, SEO, and customer acquisition. Build products people want — then sell them.
06
Leadership & Business Law
Soft and hard entrepreneurial skills, negotiation, communication, GDPR, EU AI Act, IP, and co-founder agreements. Everything you need to lead and protect what you build.
Full Curriculum
34 Courses. 3 Years.
Zero Filler.
Every course has 10–15h of pre-built platform content and 6–8h of live sessions with professors. Semesters 1–3 share an 80–90% common core with all SITE BBA programmes.
Year 1 — Foundational Knowledge & AI Literacy
Semester 125 ECTS
Course 01
Entrepreneurial Mindset & Founder Leadership
5 ECTS
Founder psychology, growth mindset, resilience, servant leadership, team formation, decision-making under uncertainty.
Course 02
Introduction to Finance
5 ECTS
Financial statements, time value of money, budgeting, reading a P&L and balance sheet.
Course 03
Introduction to Marketing
5 ECTS
Marketing mix, segmentation, branding, digital marketing fundamentals, customer journey mapping.
★ AI
Course 04
AI-Assisted Research & Decision-Making
5 ECTS
Qualitative & quantitative research methods, customer interviews, AI tools for research (Perplexity, Claude, survey tools).
★ AI
Course 05
Introduction to AI & Prompt Engineering
5 ECTS
AI fundamentals, Google Colab, prompt engineering, AI & the global economy, AI literacy for every profession. Hands-on labs.
Semester 235 ECTS
Course 06
Principles of Economics
5 ECTS
Micro/macroeconomics, market dynamics, supply & demand, economic models, digital economy.
★ AI
Course 07
Python & Data Foundations for AI
5 ECTS
Python basics, data structures, pandas, NumPy, data cleaning — practical coding focus for non-engineers. Live coding labs.
★ AI
Course 08
Mathematics for AI & Business
5 ECTS
Linear algebra basics, calculus intuition, statistics, probability — framed for understanding ML, not pure maths.
Course 09
Behavioural Economics & Consumer Psychology
5 ECTS
Cognitive biases, decision heuristics, pricing psychology, nudge theory, AI-era attention economy.
★ AI
Course 10
Statistics & Data Analysis
5 ECTS
Descriptive & inferential statistics, regression, hypothesis testing, A/B testing fundamentals. Python/Excel exercises.
★ AI
Course 11
AI Ethics, Society & Responsible Innovation
5 ECTS
AI bias, hallucination, fairness, GDPR, EU AI Act, privacy, responsible AI governance, sustainability in tech.
Course 12
Financial Literacy for Founders
5 ECTS
Startup P&L, burn rate, runway, cap tables, basic SaaS metrics, reading investor-ready financials.
Year 2 — Core Knowledge & Specialisation Begins
Semester 325 ECTS
★ AI
Course 13
Machine Learning & AI in Business
5 ECTS
Supervised & unsupervised learning, decision trees, neural network basics, AI use cases across industries. Colab model training labs.
Course 14
Project Management in the AI Era
5 ECTS
Waterfall, Agile, Scrum, OKRs, project lifecycle, stakeholder management, AI tools for project tracking. Sprint simulation.
★ AI
Course 15
AI Trends & Global Technology Landscape
5 ECTS
2026 AI landscape, embodied AI, robotics, LLMs, national AI strategies, investment trends. Guest lectures from Stanford faculty.
Course 16
Storytelling & Business Communication
5 ECTS
Narrative structures, visual storytelling, pitching, data communication, presentation design. Live pitch coaching.
Course 17
Entrepreneurial Finance & Venture Economics
5 ECTS
Startup funding stages, cap tables, equity vs debt, runway, unit economics, valuation methods for early-stage ventures.
Semester 435 ECTS
★ AI
Course 18
Deep Learning & AI Engineering
5 ECTS
CNNs, Transformers, LLMs, fine-tuning with QLoRA, RAG systems, AI agents, Gradio apps, production AI. Advanced Colab labs.
★ AI
Course 19
Product Management & UX for AI
5 ECTS
Product lifecycle, user-centred design, UX principles for AI products, roadmapping, metrics. Product sprint workshops.
Course 20
Design Thinking & Innovation
5 ECTS
Stanford DT methodology, Never-Assume Principle, reframing, prototyping, pitching AI initiatives. Design sprint workshops.
★ AI
Course 21
AI-Powered Marketing & Growth
5 ECTS
Consumer behaviour in AI age, segmentation, brand positioning, AI personalisation, SEO, content marketing, growth hacking.
Course 22
Hard Entrepreneurial Skills
5 ECTS
TAM/SAM/SOM, competitive landscape, consumer segmentation, AI cost structure, unit economics, pricing models, financial modelling.
★ AI
Course 23
Building AI-Driven Products
5 ECTS
Prototype to production, MVP methodology, design partner process, startup methodology, finding first customers. MVP sprint.
Course 24
Sales Psychology & Customer Acquisition
5 ECTS
Sales psychology, persuasion frameworks, B2B vs B2C sales cycles, CRM basics, revenue engine. Cold outreach role-play.
Year 3 — Advanced Application & Specialisation
Semester 525 ECTS
Course 25
Operations in the AI Era
5 ECTS
Process analysis, supply chain basics, matching supply & demand, inventory management, socially responsible operations.
Course 26
Technology Law, IP & Contracts for Entrepreneurs
5 ECTS
GDPR, EU AI Act basics, IP ownership, software licensing, co-founder agreements, data contracts, employment law for startups.
★ AI
Course 27
AI Venture Lab I — Live Industry Project
5 ECTS
Self-directed project on real partner problem. Weekly progress logs, peer collaboration, faculty-supervised milestone reviews.
Course 28
Soft Entrepreneurial Leadership
5 ECTS
Communication, negotiation, persuasion, emotional intelligence, leading under uncertainty, personal branding, resilience.
★ AI
Course 29
AI Strategy & Global Landscape
5 ECTS
Organisational AI readiness, adoption frameworks, global benchmarks, communicating AI to boards, responsible scaling.
Semester 635 ECTS
Course 31
Global Entrepreneurship & Cross-Cultural Business
5 ECTS
International market entry, cross-cultural negotiation, global GTM, doing business in Central Asia, LATAM, and Europe.
Elective 1
Specialisation Track Elective
5 ECTS
Choose from Track 1 (Technical AI), Track 2 (Finance & Investment), or Track 3 (Corporate Innovation).
Elective 2
Specialisation Track Elective
5 ECTS
Second elective from the same track or a different track for breadth.
Elective 3
Open Choice Elective
5 ECTS
Open-choice elective from any SITE BBA elective course or approved partner institution.
★ AI-specific or AI-enhanced course — 14 of 34 courses are AI-intensive
Specialisation Tracks
Choose Your Focus
in Year 3
Pick 2 electives from one track and 1 open elective — or mix across tracks. All electives follow the same format: 10–15h platform content + 6–8h live sessions.
Track 01
Technical AI & Engineering
Applied Machine Learning
Build and evaluate predictive AI models using scikit-learn, TensorFlow, and cloud ML platforms for real-world business problems.
NLP & Large Language Models
Hands-on with Hugging Face, OpenAI APIs, RAG systems, and fine-tuning for enterprise NLP applications.
Computer Vision & Multimodal AI
How AI interprets visual and multimodal data — build and deploy your own CV model for a real industry application.
Track 02
Financing, Investment & Financial Strategy
Venture Capital, Angel Investing & Deal Structures
VC fund dynamics, term sheets, cap table mechanics, and what investors look for in AI startups.
Corporate Finance & Valuation for Tech Companies
DCF, comparable company analysis, and financial forecasting for high-growth AI and tech businesses.
Startup Fundraising & Financial Strategy
Seed to Series B — investor-ready financial models, equity rounds, and managing burn for growth.
Track 03
Corporate Innovation & Intrapreneurship
Corporate Innovation & Intrapreneurship
How large organisations build innovation pipelines — labs, open innovation, and managing cultural resistance.
Digital Transformation Strategy
Leading AI and digital transformation — change management, adoption frameworks, and measuring ROI.
Innovation Strategy & Technology Management
Sustaining competitive advantage via platform strategies, ecosystem plays, and emerging technology scouting.
Shared Core: Semesters 1–3 (Courses 1–16) are 80–90% shared across all SITE BBA programmes — enabling cross-programme cohort learning, peer collaboration with 200+ peers, and credit transfer between programmes.
Career Outcomes
Where SITE Graduates Go
AI founders, product leaders, engineers, and growth strategists — the roles that didn't exist when the current curriculum was written at most universities.
Founder & Startup Path
AI Startup Founder
Co-founder / CTO
Venture Studio Operator
Product Incubator Lead
AI Product & Engineering
AI Product Manager
Prompt Engineer
ML Engineer (Business)
AI Solutions Architect
Data & Analytics
Business Intelligence Analyst
Growth Analyst
Product Analyst
Strategy & Ops Lead
Venture & Finance
VC Analyst
Startup CFO / Finance Lead
Angel Investor Associate
Corporate Development
Entrepreneurship AI Product Management Machine Learning VC & Investment Growth Marketing Digital Transformation Corporate Innovation Business Intelligence
Why SITE
The credentials that
make this different
Swiss Institution
Registered and headquartered in Geneva, Switzerland. The SITE brand carries international credibility and signals quality to employers and partners worldwide.
Actually Current
The curriculum is updated every semester. AI Trends covers the 2025–2026 landscape. Deep Learning covers QLoRA, RAG, and agents — not AlexNet from 2012.
Real Professors, Live Sessions
Every course includes 6–8h of live sessions with experienced professors — not just pre-recorded video. You get feedback, coaching, and direct access.
Build, Don't Just Study
You ship an AI prototype, build financial models, run MVPs, and graduate with a complete AI venture — not a portfolio of essays. Employers can see your work.
Global Cohort
Learn alongside 200+ students from 50+ countries. The shared core across all SITE BBA programmes means your network spans AI, FinTech, Marketing, and more.
Accessible Pricing
$3,000 per year — a fraction of comparable programmes. Scholarship tracks available for high-performing applicants. No compromise on quality.
Tuition & Scholarships
World-class education
at a fraction of the cost
SITE exists to make elite education accessible. $3,000 per year puts a Swiss university degree within reach — wherever you are in the world.
$3,000 / year
180 ECTS · 3 years · Fully online · Certificate + BBA degree
Scholarship Programme
100%
Gold
Exceptional merit — top academic profile, outstanding application essay
75%
Silver
Strong academic background with demonstrated entrepreneurial initiative
50%
Bronze
Good academic standing with financial need consideration
25%
Merit
General merit award for strong candidates
All scholarship decisions are made at admission. Apply early for maximum consideration.
Accreditation &
Quality Standards
Quality Standards
QAHE
QS-endorsed
EQAC
European QAC
ISO 21001
Active 2025
CEEMAN
Member 2024
ECBE
Member 2025
AMBA
Target 2026