It is a master’s in artificial intelligence focused on business, delivered by H-FARM College in partnership with the University of Chichester (Master’s of Science, 90 ECTS). It combines technical skills (Python, machine learning, agentic AI, cybersecurity) and strategic ones to lead the digital transformation of companies.
MASTER’S DEGREE AI for Business Transformation
In partnership with:
Overview
Many companies, even those with a long track record of success, now face a deep digital transformation driven by artificial intelligence, evolving markets and changing consumer behaviour. AI is no longer an option but a strategic asset that redefines business models, creates competitive advantage and helps innovate processes to generate real value.
For this reason a master’s in artificial intelligence focused on business requires solid technical skills combined with vision, leadership and problem solving to drive change inside organizations. This is where artificial intelligence for business becomes a discipline of its own, linking technology to company strategy.
The MSc in AI for Business Transformation at H-FARM College, in partnership with the University of Chichester, bridges the gap between technical and managerial competencies. The program combines advanced learning in Python, machine learning, agentic AI and cybersecurity with strategic training oriented to business development. Students learn to design, implement and manage AI solutions in real corporate contexts.
Whether your goal is to lead a company’s digital transformation, develop innovative AI solutions or build a career in strategic and technology consulting, this master’s in artificial intelligence offers the tools, mindset and network to become a protagonist of the AI economy.
WHO DELIVERS THE COURSE
H-FARM College
TITLE
Master’s of Science – University of Chichester (90 ECTS)
LANGUAGE
English
AVAILABLE SEATS
30 seats
START
INTAKE (acad. year 26/27):
September 2026 – 12 months
LOCATION
H-FARM Campus – Roncade (TV)
LESSONS FORMAT
In person or hybrid
0%
of the students complete the program within the expected timeframe.
0%
of the students receive a job offer from the company where they completed their internship.
0
the average graduation grade
0+
meetings with guest speakers, startups, and CEOs every year
0%
of the students who decide to work after graduation, find employment within 6 months
Why Choose the MSc in AI for Business Transformation
This master’s program trains professionals who can lead the digital transformation of companies through artificial intelligence, combining advanced technical skills, strategic vision and operational ability for those who want to become protagonists of the AI economy.
Choosing a master in artificial intelligence like this one means training on concrete technologies (Python, machine learning, agentic AI, cybersecurity) and, at the same time, on the ability to drive their adoption in a company with sustainable digital transformation roadmaps. The approach is experiential: lectures, hands-on labs, project work on real cases and mentorship with industry experts.
Not sure whether this master is the right fit for you? Contact us to talk it through with our team.
Academics
Il programma del Master
The first semester focuses on the foundations needed to apply artificial intelligence in business: Python, SQL, data architecture, cloud-based machine learning and business intelligence, together with a strategic view of digital transformation and the ability to define roadmaps for AI adoption in organizations, a key aspect for anyone evaluating an AI for business pathway.
The second semester is dedicated to the advanced application of the skills acquired and to the management of digital transformation projects. Students work with cutting-edge technologies such as agentic AI, RAG systems, and autonomous systems, expand their knowledge of cybersecurity, and learn how to integrate AI into core business processes. This highly experiential approach, supported by labs, real-world project work, and mentorship from industry experts, allows students to experience firsthand every stage of implementing high-impact, strategic AI solutions. These competencies are essential for those seeking an AI-for-business path that blends technology with managerial vision.
Want to explore the detailed subjects, projects, and experiences of the MSc in AI for Business Transformation at H-FARM College? Contact us or request the full curriculum: our team is ready to guide you toward the path that best fits your goals!
The Master’s Degree in AI for Business Transformation
Python and Data Architecture for Business – 10 ECTS
This module introduces students to the fundamentals of Python programming, data management, and business information system architecture. The focus is on data analysis and manipulation, building ETL pipelines, and designing relational databases and data warehouses. Students learn to transform complex data into actionable insights for strategic decision-making using practical tools and methodologies applicable in real business contexts.
Digital Transformation Strategies – 10 ECTS
This course develops the ability to lead digital transformation within organizations. Students learn to assess a company’s digital maturity, identify AI-driven innovation opportunities, create strategic roadmaps, and implement new technologies sustainably. The module combines theory and project work, focusing on innovative business models, change management, digital leadership, and future market scenarios.
Cloud-based Machine Learning and Business Intelligence – 10 ECTS
This module provides practical skills for designing, training, and deploying machine learning models on cloud platforms like Microsoft Azure, integrating results into business intelligence tools such as Power BI. Students learn to develop end-to-end ML pipelines, analyze data, and present insights effectively to support strategic decision-making.
Cybersecurity & AI-Powered Enterprise Systems – 10 ECTS
The course combines cybersecurity principles with the implementation of AI-based enterprise systems. Students learn to protect sensitive data, design secure architectures, and implement AI solutions in areas such as CRM, marketing, customer care, and sales. Hands-on labs and case studies provide operational skills for managing complex and secure systems.
Advanced AI & Agentic Systems – 10 ECTS
This module explores cutting-edge AI technologies, including Large Language Models (LLMs), RAG systems, and autonomous agents. Students learn to design and develop AI agents capable of planning and completing complex tasks, customizing models for specific use cases, and integrating advanced AI into business processes. The practical approach includes project development and technical presentations.
Business Strategy with AI – 10 ECTS
This course integrates technical and strategic skills, enabling students to develop comprehensive AI-based digital transformation plans. The module covers the creation of innovative business models, analysis of technology trends, assessment of organizational AI maturity, and strategic roadmap planning, including governance, compliance, and ethical AI management.
EXPERIENTIAL TERM
Students have the opportunity to put into practice the skills acquired throughout their course of study by choosing one of the following three options:
–Internship project
An internship at a company or organization in Italy or abroad, accompanied by a one-week intensive course on research methods and on preparing the business project report and final pitch.
–Pre-accelerator
Guided by experts from H-FARM’s Entrepreneurship & Startup Center, students can develop their startup project, which will form the basis of a business project report and a final pitch.
–Dissertation
An academic thesis and individual research, accompanied by a one-week intensive course on research methods and writing techniques.
What Makes Our Master’s Degree in AI for Business Transformation Unique
Enhancing courses
Enhancing courses are extracurricular programs that evolve every year, following the changes in the professional landscape and the most in-demand skills. They allow you to integrate what you learn in your academic path with practical and cross-disciplinary competencies.
Through these courses, you will develop skills that help you understand and anticipate companies’ needs.
Startup mindset
We believe that the same skills and abilities essential for starting a startup, such as leadership, problem-solving, resilience, strategy, risk-taking, and continuous learning, are valuable in any career path. Through a combination of theoretical and practical learning, students gain insights, methodology, and tools that can help them succeed as entrepreneurs and in any other profession. Our study programs are ideal for those looking to develop a versatile and comprehensive skill set.
Duration and structure
The master’s program lasts for two terms of classes and a final experiential term.
If you choose to enroll in September 2026, the first term will run from September to December, the second from January to the end of April, followed by a variable period of experiential term.
For this intake, you will need to submit your degree certificate by December 31, 2026.
The H-FARM College Faculty
Our faculty is composed of professionals with international experience across a wide range of fields, from academic research to business management, from entrepreneurship to strategic consulting. This diverse network of expertise allows students to engage with real-world perspectives that are constantly updated and closely connected to the evolution of artificial intelligence and digital transformation. Our partners are leading companies in their sectors, and our alumni continue to drive innovation within the organizations where they work.
To provide our students with the best opportunities to connect with this community, we have created an immersive and comprehensive learning experience. Continuous interaction with faculty members, guest speakers, and industry professionals, combined with group projects, case studies, challenges, hackathons, events, networking moments, and inspirational talks, helps students develop a practical, collaborative, and future-oriented mindset, perfectly aligned with an advanced pathway in AI applied to business.
Discover all the professionals who make up our Faculty and get inspired by the experts who may guide your journey.
Admissions
You will find information about the requirements, selection process, and relevant timelines in the Admission Notice.
Entry requirements
ACADEMIC TITLE
Applicants must hold a Bachelor’s degree in a relevant field, a first-level academic diploma from a Higher Education Institute in Art and Music, or be currently enrolled in a program leading to one of these qualifications, having completed at least 110 ECTS by the time of application.
Candidates must possess, or obtain within the deadlines specified in the admission notice, an academic qualification suitable for admission to the Master’s Degrees in accordance with the entry requirements listed on the University of Chichester website.
The academic qualification requirement depends strictly on the country in which the degree was obtained.
LANGUAGE REQUIREMENTS
Candidates must have a language certification at an appropriate level (refer to the admission notice to see recognized certifications).
In some specific cases, it is possible to access the course even without a certified English level. Accepted exemptions are listed in the application notice.
Each certification has particular characteristics, if you have doubts about which certification is most suitable for you, consult our Certification Guide.
Deadline for submitting missing documents
Any documents not submitted during the application must be provided by the following deadlines:
September 2026 Intake (acad. year 26/27):
Submission of degree certificate: December 31, 2026
Submission of B2 English certificate: October 16, 2026
Passing the Math Diagnostic Test, if required: by September 30, 2026
The admission process
- 1
- 2
- 3
- 4
STEP 1 – Online application
EU or Schengen Area countries:
You can apply through the form available on this page. During this process, you will need to provide several pieces of information, including:
-Your personal details
-Your degree certificate with transcripts, or if you are still studying at the time of application, -Your enrollment certificate with transcripts
-A motivational video in English (watch the tutorial)
-Your CV in English
-Your English language certificate (if you already have one)
Non-EU countries:
You can apply through the form available on this page. Non-EU students must pay a €50 application fee. If admitted, this amount will be deducted from the pre-enrollment or enrollment fee. Within the same form, you will need to provide several pieces of information, including:
-Your personal details
-Your degree certificate with transcripts, or if you are still studying at the time of application, your enrollment certificate with transcripts
-Your personal statement and a letter of reference
-Your CV in English
-Your English language certificate (if you already have one)
STEP 2 – Interview
EU or Schengen Area countries:
After submitting your online application, the Admissions Team will contact you to schedule your motivational interview, which will be conducted in English. Interviews will take place on the dates specified in the admission notice. During the interview, in addition to assessing your motivation and academic and extracurricular experiences, your English language level will also be evaluated.
Non-EU countries:
Applicants from non-EU countries who have correctly completed the application will be invited to participate in an asynchronous admission interview.
STEP 3 – Application results
After the interview, you will receive the outcome of your application via email.
STEP 4 – Pre-enrollment or enrollment
EU or Schengen Area countries:
Admitted candidates will have the opportunity to accept their place and proceed with pre-enrollment or enrollment, as applicable, as follows:
-Complete the pre-enrollment/enrollment form received by email
-Pay the pre-enrollment/enrollment fee
Non-EU countries:
Admitted candidates will have the opportunity to accept their place and proceed with pre-enrollment as follows:
-Complete the pre-enrollment form received by email
-Pay the pre-enrollment fee
Only after obtaining a visa can students proceed with enrollment by completing the enrollment form received by email and paying the first installment.
Dual career: student – athlete
Skiing, tennis, golf, horse riding, sailing, motorsport: Champion’s Academic Journey is the program dedicated to student-athletes who aim to excel both in sports and in academics, enhancing their athletic journey without giving up the university experience.
Access to this program is reserved for student-athletes competing at a national or international level, depending on the sport practiced.
Global Talent Grant
International Students, meaning students of non-Schengen nationality, will find information about the requirements, the selection process, and the associated timelines in the Admission Process available at the button below.
Application Timeline
Multiple application rounds are planned for the September intake of the 2026/27 academic year. For the January rounds, please refer to the admission notice.
EU or Schengen Area countries:
- Online application
- Interview
- Results
- Pre-enrollment
- Enrollment
- EARLY DECISION
- 15/10 – 30/11
- 3-4/12
- 5/12
- 15/12
- 01/07 – 31/07
- 1 ROUND
- 1/12-31/01
- 3/02
- 6/02
- 15/02
- 1/07 – 31/07
- 2 ROUND
- 1/02-30/03
- 1/04
- 3/04
- 15/04
- 1/07 – 31/07
- 3 ROUND
- 1/04-31/05
- 4/06
- 8/06
- 15/06
- 1/07 – 31/07
- 4 ROUND
- 1/06-31/07
- 4/08
- 6/08
- –
- 6/08 – 17/08
- 5 ROUND
- 1/08-31/08
- 2/09
- 3/09
- –
- 3/09-05/09
- ROLLING
- 1/09-5/10
- Rolling
- The day after the interview
- –
- Within 3 days of receiving the result and no later than 10/10
Non-UE countries:
- Online application
- Async. interview
- Results
- Pre-enrollment
- Enrollment
- EARLY DECISION
- 15/10 – 30/11
- Within 7 days of receiving the application
- Within 7 days of the async. interview
- Within 7 days of results
- 1/08 – 31/08
- 1 ROUND
- 1/12-31/01
- Within 7 days of receiving the application
- Within 7 days of the async. interview
- Within 7 days of results
- 1/08 – 31/08
- 2 ROUND
- 1/02 – 30/03
- Within 7 days of receiving the application
- Within 7 days of the async. interview
- Within 7 days of results
- 1/08 – 31/08
- 3 ROUND
- 1/04-31/05
- Within 7 days of receiving the application
- Within 7 days of the async. interview
- Within 7 days of results
- 1/08– 31/08
- 4 ROUND
- 1/06-30/06
- Within 7 days of receiving the application
- Within 7 days of the async. interview
- Within 7 days of results
- 1/08 – 31/08
Tuition & Financing
Fees and payment methods
The tuition fees for this Master’s Degree are as follows:
-
Students from EU or Schengen Area countries: €15,500
-
Non-EU students: €26,350
Payment can be made in three installments.
If tuition fees are paid after the deadline indicated in the contract, the following penalties will apply: €100 from the 1st to the 10th day after the deadline; €200 from the 11th to the 20th day after the deadline; €200 plus a block on the student’s academic record from the 20th day after the deadline onward.
1st INSTALLMENT
Students from EU or Schengen Area countries:
€5,700 (€800 at pre-enrollment + €4,900 at enrollment)
Non-EU students:
€10,350 (€1,500 at pre-enrollment + €8,850 at enrollment)
2nd INSTALLMENT
Students from EU or Schengen Area countries:
€4,900 by January 15, 2027
Non-EU students:
€8,000 by January 15, 2027
3rd INSTALLMENT
Students from EU or Schengen Area countries:
Financing options
Discover funding and benefits for H-FARM College academic programs.
Career
Careers after a master’s in artificial intelligence
What can you do after a master’s in artificial intelligence? Graduates of the MSc in AI for Business Transformation can take on roles that combine technical and strategic skills, among the most in-demand in the AI economy. Typical profiles include:
- AI Business Consultant
- Digital Transformation Manager
- AI Product Manager
- Machine Learning Engineer
- Data & AI Strategist
- AI Solutions Architect
- Innovation Manager
To better understand the technologies at the core of the program, you can explore what machine learning is and how large language models work, two pillars of the curriculum.
Compensation varies widely by country, role and experience, with strong growth potential for those who move into managerial or specialist AI roles.
Want to figure out which career path best fits your goals? Talk to our Admissions Team.
AI Business Analyst
Digital Transformation Consultant
AI Product Manager
Business Intelligence Manager
AI Strategy Consultant
Enterprise AI Solutions Architect
Job on Campus
At H-FARM College, students have access to a variety of learning on the job opportunities designed to enhance their employability and develop an entrepreneurial mindset. These experiences allow students to immediately apply what they learn in the classroom, engaging with real professional dynamics.
Throughout the year, several Job on Campus positions open up, offering the chance to take on responsibilities, develop transversal skills, and earn an income while continuing their university studies. Roles such as library supervisor, student tutor, or operational assistant help students build autonomy, organizational skills, and a sense of accountability.
Students can also apply to join LUMINA, a consulting agency structured like a real consultancy firm, created to give students firsthand experience of typical consultancy activities. Here, H-FARM College faculty members and professionals act as mentors, guiding students in developing an entrepreneurial mindset through concrete projects.
If you want to explore all the opportunities available on our campus and understand how to become actively involved in our community, contact us: our team is here to guide you toward the path that best fits your goals!
FAQ
What is the Master in AI for Business Transformation?
How long is the master and how much does it cost?
The program lasts about one year (two teaching terms plus an experiential term). Tuition for 2026/27 is 15,500 euros for EU or Schengen area students and 26,350 euros for non-EU students, payable in three installments.
What is the difference between a bachelor’s and a master’s in artificial intelligence?
A bachelor’s degree in artificial intelligence, such as the Bachelor’s in AI & Data Science, builds the foundations of AI and data science and is designed after secondary school. A master’s in artificial intelligence like AI for Business Transformation is a postgraduate program that specializes those who already hold a degree, with a focus on applying AI to business strategy and digital transformation.
What can you do after a master’s in artificial intelligence?
Career paths after a master’s in artificial intelligence range from AI business consultant and digital transformation manager to AI product manager, machine learning engineer, data & AI strategist and innovation manager, in companies, consulting firms and tech organizations.
Do I need a technical degree to apply?
You need a bachelor’s degree in an appropriate field (or an equivalent qualification), having completed at least 110 ECTS at the time of application. A purely technical degree is not strictly required: the program is designed to combine technical and managerial skills.
Is the master taught in Italian or English?
The master’s in artificial intelligence is taught entirely in English, in person or in a hybrid format, to prepare participants for an international professional context.
What does an AI expert do in a company?
An AI expert in a company identifies opportunities to apply artificial intelligence, designs and implements solutions (from machine learning models to agentic systems), defines digital transformation roadmaps and drives their adoption, also managing governance, security and the ethical use of data.
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