No, you don’t need to be an expert programmer before starting. The program begins with the foundational, hands-on basics of Python and the essential tools used in AI, guiding students step by step. What truly matters is motivation, curiosity, and an aptitude for analysis and problem-solving.
MASTER’S DEGREE AI for Business Transformation
Overview
Many companies, even those with a long track record of success, are now facing a profound digital transformation driven by artificial intelligence, evolving markets, and shifting consumer behavior. AI is no longer optional: it is a strategic element that reshapes business models, creates competitive advantages, and enables process innovation that generates real value. This is why anyone choosing an AI course or a degree in artificial intelligence must develop not only strong technical skills, but also vision, leadership, and problem-solving capabilities to guide organizational change.
The MSc in AI for Business Transformation at H-FARM College, developed in partnership with the University of Chichester, was created precisely to bridge the gap between technical expertise and managerial competence. The program combines advanced learning in Python, machine learning, agentic AI, and cybersecurity with strategic and business-oriented training. Students learn how to design, implement, and manage AI solutions within real business environments, acquiring practical skills aligned with industry needs and the growing career opportunities linked to a degree in artificial intelligence.
The Master’s offers a comprehensive hands-on learning experience: from technical foundations and data architecture, to defining digital transformation strategies, integrating advanced AI into business processes, and managing complex initiatives through the Capstone Project. Thanks to practical labs, project work, and preparation for internationally recognized professional certifications, students develop not only technical capabilities but also essential soft skills such as leadership, change management, effective communication, and critical thinking. It is an ideal pathway for those seeking an AI course that blends technology and strategy, or an AI-for-business program aligned with the future of organizations.
Whether your goal is to lead a company’s digital transformation, develop innovative AI solutions, or begin a career in strategic and technological consulting, the MSc in AI for Business Transformation provides the tools, mindset, and network needed to become a key player in the future of business. If you want to turn your interest in AI into a concrete and impactful professional path, this Master’s represents a strategic first step toward a career at the heart of the AI-driven economy.
If you’d like to explore the program in detail and understand whether it’s the right choice for you, get in touch with the H-FARM College team, we’re here to guide you!
WHO DELIVERS THE COURSE
H-FARM College
TITLE
Master’s of Science – University of Chichester (90 ECTS)
LANGUAGE
English
AVAILABLE SEATS
30 seats
START AND DURATION
INTAKE (acad. year 25/26):
January 2026 – 18 months
INTAKE (acad. year 26/27):
September 2026 – 12 months
January 2027 – 18 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 capable of leading companies’ digital transformation through artificial intelligence. The MSc in AI for Business Transformation combines advanced technical skills, strategic vision, and practical operational capabilities, offering comprehensive preparation for those who want to play an active role in the AI economy by developing innovative, high-impact solutions for businesses and organizations.
Through an experiential learning approach that integrates lectures, hands-on labs, project work on real business cases, and mentorship with industry experts, the program helps students develop a digital mindset and the tools needed to operate in complex, dynamic, and constantly evolving environments. Students learn how to design AI systems, implement digital transformation strategies, and integrate emerging technologies into business processes, generating long-term and sustainable value.
Academics
Il programma del Master
In the first semester of the Master’s, the focus is on building the foundational skills needed to understand and apply artificial intelligence within business contexts. Students deepen their knowledge of Python, SQL, data architecture, cloud-based machine learning, and business intelligence tools, acquiring the essential groundwork to analyze complex data, generate insights, and design operational AI solutions. At the same time, they develop a strategic vision of digital transformation, learning how to identify opportunities and define effective roadmaps for AI adoption within organizations, a key aspect for anyone considering an AI course with a strong business orientation.
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.
CAPSTONE PROJECT
The Capstone Project represents the pinnacle of the educational journey and takes place as an additional module after completion of the six core modules. Students, organized in multidisciplinary teams, will work on a real challenge proposed by a partner company, integrating all skills acquired during the course to develop a comprehensive solution that combines technical, strategic and business aspects.
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.
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:
January 2026 Intake (acad. year 25/26):
Submission of degree certificate: April 30, 2026
Submission of B2 English certificate: January 13, 2026
Passing the Math Diagnostic Test, if required: by January 17, 2026
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
January 2027 Intake (acad. year 26/27):
Submission of degree certificate: April 30, 2027
Submission of B2 English certificate: January 30, 2027
Passing the Math Diagnostic Test, if required: by January 30, 2027
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
- 06/08-17/08
- 01/11-30/11
- 5 ROUND
- 1/08-31/08
- 2/09
- 3/09
- 03/09-05/09
- 01/11-30/11
- ROLLING
- 1/09-30/11
- Rolling
- The day after the interview
- 01/09-30/10
- From Nov. 1 and within 3 days of receiving the result, no later than Dec. 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
Career outcomes
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
Do I need strong technical skills before enrolling in the Master’s program?
How does this Master’s differ from a traditional data science program?
Unlike purely technical programs, the MSc in AI for Business Transformation blends machine learning competencies with a strategic business perspective. You will not only learn how to build AI solutions, but more importantly, how to apply them within business processes, assessing their sustainability, impact, and value.
What skills will be most in demand in the AI job market over the next few years?
Companies will increasingly seek professionals who combine technical abilities (machine learning, generative AI, process automation) with skills in change management, communication, and strategic thinking. This Master’s is designed specifically to train this new hybrid professional capable of leading digital transformation.
Does the Master’s offer opportunities to build a professional network in the AI sector?
Yes. Through faculty members, industry partners, mentors, events, guest lectures, and project work, students can build a strong professional network during the program. This network supports access to internships, collaborations, and job opportunities in AI and digital transformation.
What career roles can I pursue after the MSc in AI for Business Transformation?
Career paths range from AI Business Specialist to Digital Transformation Consultant, as well as roles in data analysis, AI project management, and the development of innovative solutions for companies and startups. It’s an ideal choice for anyone considering an artificial intelligence degree with concrete and immediately applicable career prospects.
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