Location

The training program will be held at the Department of Engineering, University of Perugia.


Call for sign up

The course will starts in the 2017/2018 academic year; for information on the Call for Proposal please refer to the following link https://goo.gl/mU1PMn.


Official language

Lectures will be delivered in English.


Training Path

The academic program includes:

Class Credits
Fundamentals of Computer Science 2
Fundamentals of Data Processing 2
Big data Processing and Tools 4
Fundamental of Statistics I 1
Fundamental of Statistics II 2
Cloud Computing 4
Big Data Analytics 4
Networking and Data Security 4
Deep Learning 2
Machine Learning 5
Visual Analytics Theory 2
Visual Analytics Lab 1
Comunication and Emotional Intelligence 2
Statistical Learning for Data Scientists - I 2
Statistical Learning for Data Scientists - II 1
Emotional Intelligence 1
Seminars Credits
Data Science for Ealth 0,5
Data Science for Industry 0,5
Big Data and Societal Implications 0,5
Data Science for Social Innovation 0,5
Environmental Data Science 0,5
Telco Data Science 0,5
Finance Data Science 0,5
Energy & Utilities Seminar 0,5
Traineeship 10
Final test 6

Traineeship

During the Master in Data Science, students will have the opportunity to participate in the activity of internship / traineeship curricular in companies, such as:

Engineering, Ingegneria Informatica S.p.A. , is a group that includes eleven operating companies in the systems integration industry and offer extensive network along the entire software value chain, including design, development, outsourcing services, products and proprietary vertical solutions, consulting in information technology and strategic. The company includes about 8,200 employees, distributed on 40 locations throughout Italy, while the group is also strong with a direct commercial presence in European countries such as Ireland and Belgium, and non-EU such as Brazil.

IBM Italy S.p.A. is an innovative company at the service of companies and institutions around the world. IBM builds and implements plans for innovation with its customers and continually perfects the product portfolio to transfer their real business value, holding for 23 years the largest number of patents in the USA. IBM is targeting customers with an offer in which the hardware, software and services are harmonized in the wider concept of solution


Classes structure

The number of participants ranges from a minimum of 10 people to a maximum of 30.


Admission Requirements

For graduates of the Master of the graduating classes of Industrial and Information Engineering, Computer Engineering, the areas of Mathematics, Physics, Economics and Statistics registration is automatic. For holders of degrees in other classes, the Board of Directors, through an assessment interview and guidance, will have to ascertain the suitability of the candidate's profile and establish the eligibility of the same to the master.


Qualification

After completing the course, candidates in line with required formalities, will take a final exam to complete the program and to obtain the Master Certificate in Data Scientist.


Cost

The tuition fee is 3000 Euro.