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INFORMATICA PER L'ECONOMIA E PER L'AZIENDA (BUSINESS INFORMATICS) Degree Program Profile


Basic Information

Qualification awarded

Laurea Magistrale Degree in INFORMATICA PER L'ECONOMIA E PER L'AZIENDA (BUSINESS INFORMATICS)

Qualification Type/Level

EHEA Second Cycle; EQF level7

Number of Years/credits

2 years; 120 ECTS

Mode of Study

Full-Time/Part-Time*

*All Degree Programmes are planned and organised for full-time students. It is possible, however (without special arrangements), to proceed through the course of study at one's own rhythm. This makes it possible, if necessary, to accommodate employment or other non-university activities or obligations.

Name of Course Director and other contact information

President of the Degree Course Council:
Prof.
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Department of COMPUTER SCIENCES AND INFORMATICS

Internationalization Coordinator (CAI)
Prof. Andrea Corradini
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Language of Teaching

Italian/English

Admission Requirements

Formal Requirements

Italian First cycle qualification (Laurea) or foreign equivalent in the same or related subject area, with possible extra work if required competences are lacking.

Possible assessment prior knowledge and competences

Assessment of competences acquired in First Cycle studies in related or un-related subject areas to determine admission by Degree Programme Council with possible assignment of extra work to be done before admission.

Required knowledge and competences support programmes

Students whose curricula show lacuna may need to take extra first cycle course units before admission.

General Information

Programme Profile

The two year graduate program in Business Informatics has been designed to meet the growing demand for professionals with an interdisciplinary skill both in informatics and in business to satisfy the increasing demand by companies to compete using analytics methods. The graduate program is focused on Business Intelligence techniques to support decision making. The interdisciplinary competence covered by the Business Informatics degree is intended to overcome the cultural divide between IT and management.

Key Learning Outcomes

Graduates of the Programme will be able to demonstrate: - Basic knowledge of economics and management science. - Basic knowledge of enterprise organizational models, typical functions, primary and support activities. - Basic knowledge of role of management planning and controlling systems. - Deep knowledge of decision support systems based on operations research models in production and distribution logistics. - Deep knowledge of operational information systems to support organizations in performing the business, and in bringing the business to the Web to allow new routes to market. - Advanced knowledge of the Business Intelligence methods and tools to design data-driven Decision Support Systems for summarizing large amounts of data into a form that is easily interpretable to help managers to analyze the performance of key business processes. - Advanced knowledge of methods and tools for analyzing business processes and the redesign of such processes eventually using the technology of Web services.

Occupational Profile/s of Graduates

The master's degree program prepares graduates with interdisciplinary expertise who are highly sought after by the job market. They will be able to engage in activities that require the use of advanced methods, in terms of design, development and management, in the following main area: - operational database applications, - web marketing applications, - model or data-driven Decision Support Systems applications, - analysis and redesign of business processes.

Access to further study

The Laurea Magistrale degree in INFORMATICA PER L'ECONOMIA E PER L'AZIENDA (BUSINESS INFORMATICS) allows the graduate to compete for entry into a Third Cycle programme/doctoral school.

Assessment methods, examination regulations, and grading

Assessment is normally by means of an oral or written examination; in some cases there are intermediate exams during the course; other elements (participation in discussion, written or oral reports, comment of texts etc. ) are foreseen in specific course units and are described in the Course Unit Profiles.
The grading system for the course units consists of 30 possible points, plus 'lode' (cum laude) in case of excellence. Marks are given by the lecturer on the basis of performance as ascertained in a public examination by a board of at least two teachers. Main exam sessions are held in June/July; September; and January; students may resit exams**. Actual grading curves differ in different degree programmes. The University of Pisa provides an ECTS Grading Table, which shows the actual distribution, of examination and final grades among students of each degree programme, in order to facilitate comparison with other grading systems. ---> Link to ECTS Grading Table
An overall mark is given on occasion of the 'Final Exam', when a written research text is presented and discussed. The final overall mark is calculated on the results of the marks obtained in the single course units and the final exam, and is based on 110 possible points, with the possible further mention of honours ("lode" or cum laude).

**The exam sessions are organised in sessions (the dates vary according to the Department and are published in the Department's academic calendar). In each session there are a certain number of 'appelli' [calls], or dates on which the examination for each course unit may be taken. The 'appelli' are fixed by the teacher. The student chooses which of the appelli he or she wishes to respond to. In most cases it is obligatory to sign up before the specified date.

Requirements (regulations) to obtain the qualification

The learner must complete the curriculum/one of the 'curricula' (tracks) as described in the Table below. This includes obligatory and elective course units and other activities for a total of 120 credits.

The final thesis, to which 15 ECTS are allocated, must demonstrate the knowledge of the business informatics professional skills. The thesis, with an academic supervisor, may be associated with an internship in public or private companies.

Course structure diagram w/credits

Available Tracks

Track Business Informatics

Year 1
255AA - INTRODUCTION TO LOGISTICS 6 ECTS
420AA - DATA MINING 12 ECTS
600AA - DECISION SUPPORT DATABASES 6 ECTS
Group GR3 - Choice of 12 ECTS from:
    202PP - MARKETING RESEARCH 9 ECTS
    096PP - BUSINESS ORGANIZATION 6 ECTS
    533AA - NETWORK OPTIMIZATION METHODS 6 ECTS
    259AA - SIMULATION 6 ECTS
    414AA - DATA ANALYSIS 6 ECTS
    265PP - COST MANAGEMENT 9 ECTS
    007AA - INTRODUCTION TO COMPUTER PROGRAMMING 12 ECTS
    008AA - ALGORITHMS: THEORY AND PRACTICE 12 ECTS
    009AA - INTRODUCTION TO LOGIC FOR PROGRAMMING 6 ECTS
    018PP - BUSINESS ADMINISTRATION II 9 ECTS
    029AA - OPERATIONS RESEARCH 6 ECTS
    049PP - BUSINESS MANAGEMENT 9 ECTS
    058NN - NEW TECHNOLOGY AND INTERNET LAW 6 ECTS
    244AA - PRINCIPLES OF DATA BASES 6 ECTS
    271AA - SOFTWARE ENGINEERING 6 ECTS
    278PP - PLANNING AND MANAGEMENT CONTROL 9 ECTS
    412PP - STATISTICA PER L'INFORMATICA 6 ECTS
    596AA - INTRODUZIONE ALL'INTELLIGENZA ARTIFICIALE 6 ECTS
    597AA - MATEMATICA DISCRETA 6 ECTS
    601AA - METODI DECISIONALI GUIDATI DAI MODELLI 6 ECTS
    149PP - ECONOMIA POLITICA 9 ECTS
    260AA - SISTEMI INFORMATIVI TERRITORIALI 6 ECTS
    424AA - RETI DI CALCOLATORI E LABORATORIO 12 ECTS
Group GR2 - Choice of 18 ECTS from:
    202PP - MARKETING RESEARCH 9 ECTS
    096PP - BUSINESS ORGANIZATION 6 ECTS
    265PP - COST MANAGEMENT 9 ECTS
    018PP - BUSINESS ADMINISTRATION II 9 ECTS
    049PP - BUSINESS MANAGEMENT 9 ECTS
    278PP - PLANNING AND MANAGEMENT CONTROL 9 ECTS
    149PP - ECONOMIA POLITICA 9 ECTS
Group GR1 primo anno - Choice of 6 ECTS from:
    289AA - INFORMATION RETRIEVAL 6 ECTS
    537AA - TECHNOLOGIES FOR WEB MARKETING 6 ECTS
    411AA - DATABASE STRUCTURES AND ALGORITHMS 6 ECTS
    261AA - PEER TO PEER SYSTEMS 6 ECTS
    253AA - PROGRAMMING INTERNET APPLICATIONS 6 ECTS
    254AA - DATABASE PROGRAMMING 6 ECTS
    389AA - SOFTWARE SERVICES 6 ECTS
    416AA - ICT RISK ANALYSIS 6 ECTS
    566AA - BUSINESS INTELLIGENCE AND PERFORMANCE MANAGEMENT 6 ECTS
    589AA - ANALISI DELLE RETI SOCIALI 6 ECTS
    599AA - BIG DATA ANALYTICS 6 ECTS
    602AA - VISUAL ANALYTICS 6 ECTS
    588AA - LABORATORY ON ALGORITHMS FOR BIG DATA 6 ECTS
    598AA - APPRENDIMENTO AUTOMATICO: FONDAMENTI 6 ECTS
Year 2
417AA - BUSINESS PERFOMANCE ANALYSIS 12 ECTS
Group GR1 secondo anno - Choice of 12 ECTS from:
    289AA - INFORMATION RETRIEVAL 6 ECTS
    537AA - TECHNOLOGIES FOR WEB MARKETING 6 ECTS
    411AA - DATABASE STRUCTURES AND ALGORITHMS 6 ECTS
    261AA - PEER TO PEER SYSTEMS 6 ECTS
    253AA - PROGRAMMING INTERNET APPLICATIONS 6 ECTS
    254AA - DATABASE PROGRAMMING 6 ECTS
    389AA - SOFTWARE SERVICES 6 ECTS
    416AA - ICT RISK ANALYSIS 6 ECTS
    566AA - BUSINESS INTELLIGENCE AND PERFORMANCE MANAGEMENT 6 ECTS
    589AA - ANALISI DELLE RETI SOCIALI 6 ECTS
    599AA - BIG DATA ANALYTICS 6 ECTS
    602AA - VISUAL ANALYTICS 6 ECTS
    588AA - LABORATORY ON ALGORITHMS FOR BIG DATA 6 ECTS
    598AA - APPRENDIMENTO AUTOMATICO: FONDAMENTI 6 ECTS

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