Digital Systems in Agriculture
Digital Systems in Agriculture
Course sheet
A.Y. 2024/2025
Bachelor
L-P02 - Professioni Tecniche Agrarie, Alimentari e Forestali
Professionalizing degrees are new three-year university study programs aimed at a strong orientation towards the working environment and a direct operational applicability of the acquired skills.
In particular, the professionalizing degree program in Digital Systems in Agriculture is designed to train technical professionals who combine, on the one hand, general knowledge of agricultural systems, and on the other hand, advanced skills in configuring and interacting with integrated hardware and software systems within farm processes. This includes the extraction and management of data essential for optimizing production activities in agricultural, livestock, and small-scale processing contexts.
The educational path is characterized by a strong synergy between the university and companies in the Agriculture 4.0 sector, focusing on digital technologies for agricultural machinery and systems, as well as field and livestock ICT systems. With this approach, the course aims to develop specialized technologist with skills in digital systems. These skills, combined with technical knowledge specific to the agricultural domain, will enable graduates to operate supporting primary sector companies in the choice and use of hardware and software systems for agriculture.
In order to achieve a professional profile with the specified technical skills, the Digital Systems in Agriculture study program has the following educational objectives:
General but comprehensive knowledge of agricultural systems as a whole and the main issues related to the sustainability of productions;
Basic knowledge in scientific disciplines related to the fundamental principles of production processes, the functioning of technologies used, and the economic-organizational aspects of activities;
Understanding of configuration criteria and acquisition of high operational skills for the management of hardware and software technologies used in business processes;
Acquisition of in-depth operational skills in the extraction, management, and processing of data useful for production activities;
Development of the ability to interact effectively and professionally with those who analyze or plan production processes;
Acquisition of adequate teamwork, communication, including in English, and self-updating skills, aimed at a rapid and effective integration into different work contexts.
The educational objectives of the study program also aim to develop the skills, abilities, and operational autonomy necessary for the practice of the professions of graduate agricultural expert and/or graduate agrotechnician, for which the professionalizing degree in Digital Systems in Agriculture is enabling.
In particular, the professionalizing degree program in Digital Systems in Agriculture is designed to train technical professionals who combine, on the one hand, general knowledge of agricultural systems, and on the other hand, advanced skills in configuring and interacting with integrated hardware and software systems within farm processes. This includes the extraction and management of data essential for optimizing production activities in agricultural, livestock, and small-scale processing contexts.
The educational path is characterized by a strong synergy between the university and companies in the Agriculture 4.0 sector, focusing on digital technologies for agricultural machinery and systems, as well as field and livestock ICT systems. With this approach, the course aims to develop specialized technologist with skills in digital systems. These skills, combined with technical knowledge specific to the agricultural domain, will enable graduates to operate supporting primary sector companies in the choice and use of hardware and software systems for agriculture.
In order to achieve a professional profile with the specified technical skills, the Digital Systems in Agriculture study program has the following educational objectives:
General but comprehensive knowledge of agricultural systems as a whole and the main issues related to the sustainability of productions;
Basic knowledge in scientific disciplines related to the fundamental principles of production processes, the functioning of technologies used, and the economic-organizational aspects of activities;
Understanding of configuration criteria and acquisition of high operational skills for the management of hardware and software technologies used in business processes;
Acquisition of in-depth operational skills in the extraction, management, and processing of data useful for production activities;
Development of the ability to interact effectively and professionally with those who analyze or plan production processes;
Acquisition of adequate teamwork, communication, including in English, and self-updating skills, aimed at a rapid and effective integration into different work contexts.
The educational objectives of the study program also aim to develop the skills, abilities, and operational autonomy necessary for the practice of the professions of graduate agricultural expert and/or graduate agrotechnician, for which the professionalizing degree in Digital Systems in Agriculture is enabling.
Graduates in Digital Systems in Agriculture possess a professional profile with a strong technical focus, characterized by operational and managerial skills related to digital technologies specifically applied in agricultural, livestock, and primary processing contexts. The professional profile is supplemented by the acquisition of basic knowledge about the main technical methods of agricultural production, the technologies used, the organization of activities, and the outlines of the major issues faced by the modern agricultural system.
This integration of knowledge is of fundamental importance for the professional profile, allowing graduates in Digital Systems in Agriculture to optimize the application of their specialized skills, adapting them to the specific needs of the companies they collaborate with and effectively interfacing with the production processes in which these companies operate.
Graduates in Digital Systems in Agriculture play roles in close technical assistance in agro-informatics and agro-electronics, providing support functions to agricultural sector companies in selecting digital technologies that align with their needs. They intervene in configuring hardware and software systems, interfacing them with other local or cloud-based technologies, and managing their routine usage. The aim is to ensure the full utilization of the functionalities of these systems for the benefit of productive activities in which they are adopted, within the framework of Agriculture 4.0.
In addition, graduates work with data generated by digital systems, configuring the acquisition and recording of parameters of interest. They use processing or visualization features included in software, integrate farm data with information from other external sources, export data of specific interest in formats useful for their use in company reports or for further processing with external applications. Graduates identify critical or alarm situations through the comparison of process data with benchmarks external to the farm, supporting the entrepreneur or those planning and analyzing business processes by researching and extracting specific information from company databases.
Thanks to the comprehensive nature of the course and the multiple disciplinary areas covered during traineeships, graduates can easily integrate into companies operating in various agricultural contexts, including large agro-industrial crops, horticulture, fruit and wine production, livestock farming, and animal production.
In these significant contexts, widely spread throughout the national territory in numerous specialized production districts, graduates in Digital Systems in Agriculture can naturally find employment opportunities in:
Companies producing digital technologies and ICT for agriculture.
Companies or industries manufacturing machinery and systems for agriculture.
Agricultural, livestock, fruit, wine, and vegetable farming companies.
Service and technical assistance companies for agriculture.
Contractor companies.
Companies selling, assisting, and repairing agricultural machinery and equipment.
Companies involved in the production, installation, assistance, maintenance, and sensor technology and automation for agriculture.
The attainment of the professionalizing degree in Digital Systems in Agriculture, as stipulated by current legislative regulations, enables the practice of the professions of graduate agricultural expert and/or graduate agrotechnician.
Employment statistics (Almalaurea)
This integration of knowledge is of fundamental importance for the professional profile, allowing graduates in Digital Systems in Agriculture to optimize the application of their specialized skills, adapting them to the specific needs of the companies they collaborate with and effectively interfacing with the production processes in which these companies operate.
Graduates in Digital Systems in Agriculture play roles in close technical assistance in agro-informatics and agro-electronics, providing support functions to agricultural sector companies in selecting digital technologies that align with their needs. They intervene in configuring hardware and software systems, interfacing them with other local or cloud-based technologies, and managing their routine usage. The aim is to ensure the full utilization of the functionalities of these systems for the benefit of productive activities in which they are adopted, within the framework of Agriculture 4.0.
In addition, graduates work with data generated by digital systems, configuring the acquisition and recording of parameters of interest. They use processing or visualization features included in software, integrate farm data with information from other external sources, export data of specific interest in formats useful for their use in company reports or for further processing with external applications. Graduates identify critical or alarm situations through the comparison of process data with benchmarks external to the farm, supporting the entrepreneur or those planning and analyzing business processes by researching and extracting specific information from company databases.
Thanks to the comprehensive nature of the course and the multiple disciplinary areas covered during traineeships, graduates can easily integrate into companies operating in various agricultural contexts, including large agro-industrial crops, horticulture, fruit and wine production, livestock farming, and animal production.
In these significant contexts, widely spread throughout the national territory in numerous specialized production districts, graduates in Digital Systems in Agriculture can naturally find employment opportunities in:
Companies producing digital technologies and ICT for agriculture.
Companies or industries manufacturing machinery and systems for agriculture.
Agricultural, livestock, fruit, wine, and vegetable farming companies.
Service and technical assistance companies for agriculture.
Contractor companies.
Companies selling, assisting, and repairing agricultural machinery and equipment.
Companies involved in the production, installation, assistance, maintenance, and sensor technology and automation for agriculture.
The attainment of the professionalizing degree in Digital Systems in Agriculture, as stipulated by current legislative regulations, enables the practice of the professions of graduate agricultural expert and/or graduate agrotechnician.
Employment statistics (Almalaurea)
La frequenza delle attività formative è fortemente consigliata e viene attentamente monitorata da parte del corso di studi. La frequenza ai laboratori del 2° anno e ai tirocini del 3° anno è obbligatoria.
Enrolment
Requirements and knowledge necessary for admission
To be admitted to the degree program, candidates must hold a high school diploma or an equivalent qualification obtained abroad, recognized as suitable, and possess adequate initial preparation. Specifically, a good understanding of basic scientific disciplines is required, with a depth comparable to that acquired through high school education. Additionally, candidates should demonstrate logical and comprehension skills, as well as sufficient abilities in written elaboration and oral expression in the Italian language.
Methods of verification of knowledge and personal preparation
In accordance with legal provisions (Article 4 of DM 446/2020), the degree program has a limited number of seats, tailored to the needs of the job market and the availability of external annual internships. For the academic year 2023-24, the number of available slots for enrolment in the first year is set at 50.
Access is regulated by the mandatory TOLC-LP test, designed to assess students' initial preparation in terms of basic mathematical knowledge and elementary comprehension and logical skills.
The valid test for admission to the degree program is the TOLC-LP, an online test administered by CISIA (Consorzio Interuniversitario Sistemi Integrati per l'Accesso - https://www.cisiaonline.it). The structure and topics of the test, along with other useful information, can be found on the page https://www.cisiaonline.it/area-tematica-tolc-lauree-professionalizzanti/home-tolc-lp/.
The TOLC-LP can be held at the University of Milan or at any other university affiliated with CISIA. Registration procedures and deadlines are indicated in the admission notice published on the programme website.
The test results will be communicated confidentially to each student, highlighting any deficiencies identified during the test itself.
Additional Training Requirements and Procedures for Remedying Deficiencies (OFA)
Students who are conditionally admitted to the degree program and receive an insufficient outcome in the mathematics section (score lower than or equal to half of the maximum value) will be assigned additional training requirements (OFA).
For students with OFA, a recovery program will be organized (in the September-October period), structured with online exercises on an e-learning platform and moments of discussion and clarification with a tutor. After participating in the recovery activities, students with OFA will be required to undergo a final assessment verification.
To be admitted to the degree program, candidates must hold a high school diploma or an equivalent qualification obtained abroad, recognized as suitable, and possess adequate initial preparation. Specifically, a good understanding of basic scientific disciplines is required, with a depth comparable to that acquired through high school education. Additionally, candidates should demonstrate logical and comprehension skills, as well as sufficient abilities in written elaboration and oral expression in the Italian language.
Methods of verification of knowledge and personal preparation
In accordance with legal provisions (Article 4 of DM 446/2020), the degree program has a limited number of seats, tailored to the needs of the job market and the availability of external annual internships. For the academic year 2023-24, the number of available slots for enrolment in the first year is set at 50.
Access is regulated by the mandatory TOLC-LP test, designed to assess students' initial preparation in terms of basic mathematical knowledge and elementary comprehension and logical skills.
The valid test for admission to the degree program is the TOLC-LP, an online test administered by CISIA (Consorzio Interuniversitario Sistemi Integrati per l'Accesso - https://www.cisiaonline.it). The structure and topics of the test, along with other useful information, can be found on the page https://www.cisiaonline.it/area-tematica-tolc-lauree-professionalizzanti/home-tolc-lp/.
The TOLC-LP can be held at the University of Milan or at any other university affiliated with CISIA. Registration procedures and deadlines are indicated in the admission notice published on the programme website.
The test results will be communicated confidentially to each student, highlighting any deficiencies identified during the test itself.
Additional Training Requirements and Procedures for Remedying Deficiencies (OFA)
Students who are conditionally admitted to the degree program and receive an insufficient outcome in the mathematics section (score lower than or equal to half of the maximum value) will be assigned additional training requirements (OFA).
For students with OFA, a recovery program will be organized (in the September-October period), structured with online exercises on an e-learning platform and moments of discussion and clarification with a tutor. After participating in the recovery activities, students with OFA will be required to undergo a final assessment verification.
Places available: 50 + 3 reserved for non-EU citizens
Call for applications
Please refer to the call for admission test dates and contents, and how to register.
Session: 1
Application for admission: from 14/03/2024 to 30/05/2024
Application for matriculation: from 06/06/2024 to 20/06/2024
Please note
Si avvisa che a partire dalla sessione di luglio verranno inseriti in graduatoria i candidati che hanno presentato domanda di ammissione e sostenuto il tolc-LP o il tolc-AV entro le scadenze indicate nel bando.
Session: 2
Application for admission: from 24/06/2024 to 15/07/2024
Application for matriculation: from 18/07/2024 to 01/08/2024
Please note
Si avvisa che a partire dalla sessione di luglio verranno inseriti in graduatoria i candidati che hanno presentato domanda di ammissione e sostenuto il tolc-LP o il tolc-AV entro le scadenze indicate nel bando.
Session: 3
Application for admission: from 05/08/2024 to 05/09/2024
Application for matriculation: from 12/09/2024 to 19/09/2024
Please note
Si avvisa che a partire dalla sessione di luglio verranno inseriti in graduatoria i candidati che hanno presentato domanda di ammissione e sostenuto il tolc-LP o il tolc-AV entro le scadenze indicate nel bando.
Online services
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Programme description and courses list
First semester
| Courses or activities | ECTS | Total hours | Language | SSD |
|---|---|---|---|---|
| Compulsory | ||||
| Applied Biology to Agricultural Systems | 6 | 64 | Italian | BIO/01 BIO/04 BIO/05 |
| Fundamentals of General and Agricultural Chemistry | 6 | 56 | Italian | AGR/13 CHIM/03 CHIM/06 |
| Fundamentals of Mathematics and Physics for Agriculture | 6 | 72 | Italian | FIS/01 MAT/07 |
Second semester
| Courses or activities | ECTS | Total hours | Language | SSD |
|---|---|---|---|---|
| Compulsory | ||||
| Animal Husbandry and Nutrition, and Quality and Safety of Products of Animal Origin | 6 | 64 | Italian | AGR/18 AGR/19 |
| Computer Science for Digital Technologies in Agriculture | 6 | 48 | Italian | INF/01 |
| Cultivation, Quality, and Safety of Plant Products | 12 | 116 | Italian | AGR/02 AGR/03 AGR/04 AGR/11 AGR/12 |
| Economics and Organization of the Agri-Food System | 6 | 48 | Italian | AGR/01 |
| Machinery, Plants, and Production Structures for Agriculture | 6 | 60 | Italian | AGR/08 AGR/09 AGR/10 |
Open sessions
There are no specific sessions for these activities (e.g. open online courses).
| Courses or activities | ECTS | Total hours | Language | SSD |
|---|---|---|---|---|
| Compulsory | ||||
| English Assessment B1 (3 ECTS) | 3 | 0 | English | |
year
| Courses or activities | ECTS | Total hours | Language | SSD |
|---|---|---|---|---|
| Compulsory | ||||
| Laboratory of Arboriculture and Post-Harvest Technologies | 10 | 146 | Italian | |
| Laboratory of Digital Technologies for Animal Husbandry | 10 | 144 | Italian | |
| Laboratory of Machines and Technologies for Precision Agriculture | 10 | 160 | Italian | |
| Laboratory of Technologies for Plant Productions | 10 | 136 | Italian | |
| Laboratory of Water and Agro-Environmental Resources | 10 | 136 | Italian | |
First semester
| Courses or activities | ECTS | Total hours | Language | SSD |
|---|---|---|---|---|
| Compulsory | ||||
| Digital Technologies and Iot for Agriculture | 6 | 56 | Italian | ING-INF/05 |
Second semester
| Courses or activities | ECTS | Total hours | Language | SSD |
|---|---|---|---|---|
| Compulsory | ||||
| Occupational Health and Safety | 3 | 24 | Italian | |
Study plan rules
- The student must also acquire 6 Ects by freely choosing from the courses offered by other degree programs within the Faculty and the University. Alternatively, they may allocate these credits to other training activities assessable in terms of credits. See also the paragraph Structure of the course - Presentation of the study plan.
be activated by the A.Y. 2025/2026
Open sessions
There are no specific sessions for these activities (e.g. open online courses).
| Courses or activities | ECTS | Total hours | Language | SSD |
|---|---|---|---|---|
| Compulsory | ||||
| Professional Ethics | 4 | 32 | Italian | |
Conclusive activities
There are no specific sessions for these activities (e.g. open online courses).
| Courses or activities | ECTS | Total hours | Language | SSD |
|---|---|---|---|---|
| Compulsory | ||||
| Corporate Internship | 50 | 0 | Italian | |
| Final Exam | 4 | 0 | Italian | |
Exams beyond the first year can only be taken after passing the Fundamentals of Calculus and Physics for Agriculture exam or the OFA of Mathematics. The practical evaluative external internship can only start after successfully completing all mandatory exams in the first and second years.
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Location
Milan
Head of study programme
Erasmus and international mobility tutor
Study plan tutor
University and programme transfer tutor
Credit recognition tutor
Quality Assurance Delegate
Reference structures
Contacts
- Degree programme head
[email protected] - Course management for the Faculty of Agricultural and Food Sciences (Science and Technology area)
via Celoria 2 - Milano Città Studi
Contatto: https://informastudenti.unimi.it/saw/ess?AUTH=SAML
+390250316511
Orario di apertura al pubblico: lunedì dalle 10 alle 12 e dalle 14 alle 16 - Student registrar
via Celoria 18 - Milano Città Studi
https://www.unimi.it/it/node/359
+390250325032
https://www.unimi.it/it/node/360
The tuition fees for students enrolled in Bachelor's, Master's and single-cycle degree programmes are divided into two instalments with different calculation methods and payment schedules:
- The amount of the first instalment is the same for all students
- The amount of the second instalment varies according to the ISEE University value, the degree programme and the student status (on track / off track for one year or off track for more than a year)
- An additional fee is due for online programmes
The University also offers:
- Concessions for students meeting high merit requirements
- Diversified tuition fees according to the student's home country for international students with assets/income abroad
- Concessions for international students with refugee status
Scholarships and benefits
The University provides a range of financial benefits to students meeting special requirements (merit, financial or personal conditions, international students).
Learn more
Guidance:
Admission, ranking and enrolment
Official documents