Students enroled before 2021/22 please see section “Enrolments before 2021/22" below.
In our Master in Computing for Data Science a set of common mandatory courses ensures the delivery of fundamental competences, while curriculum-specific courses convey specialist knowledge.
The curriculum "Machine Learning" is oriented toward data-driven Artificial Intelligence methods and, in particular, Machine Learning methods for data analysis, including the principles and methods for data exploration, for interpretation and visualization of the results of such analysis, and more generally, for the extraction of knowledge from data to inform and guide decision-making processes. Students can customise their study plan by choosing five optional courses in addition to the compulsory ones.
The curriculum "Artificial Intelligence for Data Management" is focused primarily on data management and on the techniques and methodologies specific to computer science and artificial intelligence for building IT architectures, infrastructures, on systems for maintaining, integrating, and curating complex and heterogeneous data, as well as for supporting the subsequent analysis for decision-making processes. Students can customise their study plan by choosing five optional courses in addition to the compulsory ones.
Students who prefer not to follow one of the two offered curricula can customise their studies by choosing eight optional courses in addition to the compulsory ones. At the end of their studies, however, they will not receive any curriculum indication in their Diploma Supplement.
Here you can find the structure of the whole study course with the allocation of lectures on years and semesters, as well as some general information.
Here you can find the short version of the syllabi of all lectures offered in the study course, with the topics covered in each course, giving you a general overview.
Capstones are projects carried out by students on real data taken from concrete application domains, such as bioinformatics, sensors, internet of things, business information systems, tourism and agriculture.
These projects are carried out individually or in groups of two persons, under the joint supervision of a professor and one or more domain experts; in particular, the students apply and develop the studied techniques and acquire skills in planning, communication, interaction with users, and teamwork.
Capstones are assigned 6 CFUs.
Practical organisation of the Capstones:
Each Capstone data set is managed by a domain expert, who also poses the research question.
The Capstone Coordinator matches each data set with a tutor (professor or university researcher), choosing if possible from among the reference professors of the Degree Course and in accordance with the research interests of the tutors themselves.
Students choose among the possible Capstones immediately at the beginning of the first semester of the second year, during the Capstone Day, where the domain experts present the data sets under the coordination of the Capstone Coordinator.
Students express their preferences in decreasing order and the Capstone Coordinator assigns projects so as to possibly cover all the projects offered.
Students then work independently under the supervision of the tutors (who follow, direct and evaluate the project) and of the domain experts (who introduce students to the data, provide requirements, directions and feedback).
The final pass/fail exam consists of a written report and a presentation.
The outcome of the exam is decided and registered by the Capstone Coordinator based on the proposal of the tutor and after hearing the domain expert.
The detailed information on the courses offered in each academic year, with the indication of the lecturer, educational objectives, teaching format, learning outcomes, assessment, evaluation criteria and reading list, can be found in the course descriptions that you can download from the page Course Offering.
Each Master student has an individual Tutors are researchers of the Faculty that help you to get information and take decisions related to their study career. More details can be found under Tutoring.
By the end of the first semester you must choose which curriculum to follow or indicate you do not intend to follow any curriculum. Curriculum changes can be made within the first year.
You have to use the following form and the changes must be approved by your Tutor and by the Degree Course Committee:
You choose your optional courses from the lists of mandatory optional courses available for the current academic year. If you need help in the selection, you can consult your Tutor.
Before each exam session, you can add or delete the optional courses from your study plan by yourself in MySNS.
You will receive an e-mail when the compilation of the study plan opens.
Only after you have added the course to your study plan you will be able to enrol to its exam (see Exams enrolment and cancellation).
Students with an Individual Study Plan
If you have an Individual Study Plan, you have to make sure that the optional exams you choose are compatible with your approved Individual Study Plan; otherwise you have to ask your Tutor / Study Plan Advisor to change your Individual Study Plan accordingly.
"Free Choice" Credit points are the perfect opportunity to deepen your specialization, explore unusual facets of computer science or make up for gaps in your previous academic preparation. Therefore we invite you to consult your Tutor when making your choice.
To achieve your "Free Choice" Credit Points, you can choose:
If you choose lectures of the Master in Computing for Data Science and of the Master in Software Engineering:
well before the exam session, send an e-mail from your unibz account to the Faculty Secretariat indicating:
This way the course can be added to your on-line study career and labeled "Free Choice".
Attention: Proposals are accepted without the need for approval by the Course Council, except in cases where the course is equivalent to a course already included in your study plan, or similar but at a lower level. Doubtful cases are submitted to the Course Council for approval.
If you choose other lectures:
well before the exam session, send an approval request via e-mail from your unibz account your Tutor (Faculty Secretariat in cc), attaching the Course Presentation Form of the lecture and indicating:
Before approving, the Tutor evaluates if the chosen lecture is consistent with the study path of your degree course.
If the lecture is approved:
If you choose an Internship:
Remember that you can also choose lectures from other universities.
You have the possibility to discuss your study plan or propose exam recognitions.
If you already took courses of your chosen Master curriculum during your Bachelor, you must always contact your Tutor in order to discuss the substitution of these courses.
Modifications of the regular study plan other that the one mentioned above mean that you leave the curriculum and switch to an Individual Study Plan, which then you must strictly follow.
All modifications to the study plans, Individual Study Plans and exam recognitions have to be agreed upon with the Tutor and approved by the Degree Committee of the Master.
You can ask your Tutor to modify your Individual Study Plans (add, delete or change exams) twice a year:
If you enroled before 2021/22, you are enroled in our previous Master in Computer Science or in a previous version of our Master in Computational Data Science.
Some lectures might not be offered any more, but you still have the right to pass all the exams of your original study plan, see Exams.
Please contact us for all questions on Study Plans and Study Career. Changes of Study Plan can be made with the approval of the Degree Programme Committee.
If you have not taken many exams, we strongly encourage you to switch to our Master in Computing for Data Science: previous exams will be recognised as favourably as possible.
NB: requests for transfer to another study course at unibz follow the same deadlines as the applications of prospective students.
For general information see the Manifesto of Studies of your enrolment year below:
Students enroled from 2004/05 to 2008/09
If you enroled from 2004/05 to 2008/09, you are studying under the previous university legislation (DM 509/99). Please contact the Faculty Secretariat for questions on Study Plans and Study Career.