Big Data and Management

Luiss Business School Roma (Luiss BS Roma)

• Location Rome, Italy
• Type of Degree Master
• Start Date 2021/09/27
• Duration 1 year
• Application Deadline Request info
• Language English
• Attendance On Campus
• Dedication Full-time
• Pace Instructor-paced
• Tuition fees 16000 €

Program description

The Master’s Degree Programme in Big Data and Management focuses on improving students’ understanding of the customer journey in order to increase business possibilities and improve profitability. Working with big data requires a highly interdisciplinary set of competencies: deep expertise in programming and computer science, good working knowledge of advanced statistical techniques, a thorough understanding of the business world, and excellent communication skills.

All these skills need to be developed with the right mix of classroom and field learning. 
 The curriculum of the Master’s Degree Programme in Big Data and Management is designed to prepare students to create analytical models and interpret them from a business-oriented perspective. It trains young professionals who wish to pursue a career as Data Scientists or Business Analysts.

Participants in the programme acquire:

• Skills to collect, process, and extract value from large and diverse data sets
• The capacity to work with different computing tools in order to address complex problems
• The capability to understand, visualise, and communicate findings to the top management
• The ability to create data-driven solutions that boost profits, reduce costs, and improve efficiency

Diploma and ECTS

The Master in Big Data and Management is a one-year Master of Science equivalent to “Master Universitario di I livello” in accordance with the Italian university system. It provides students with at least 60 ECTS – European Credit Transfer and Accumulation System. At the end of the Programme, the Master’s Diploma “Master Universitario di I livello” will be conferred to participants who have passed exams or others assessment tests envisaged in the study program.

Target audience of the Master’s Degree Programme in Big Data and Management

The Master’s Degree Programme in Big Data and Management is aimed at recent graduates — or those graduating soon — with a Bachelor’s or Master’s Degree in Economics, Statistics, Engineering, Information Systems, Mathematics or related fields.

Career prospects

The programme puts students on career paths in a wide range of organisations in positions such as:

• Analytics Solution Architect
• Big Data Architect
• Business Analytics Manager
• Chief Data Officer
• Data Analyst
• Data Management Consultant

Curriculum

The curriculum of the Master’s Degree Programme in Big Data and Management is designed to ensure and support the progressive professional and personal growth of students who benefit from a productive learning experience: lessons, case studies, group work sessions, and a high-level faculty comprised of both academics and professionals.

During the Master’s Degree Programme, students receive constant support from the Career Service Office that helps them increase their employability and find a curricular internship.

Induction week

The induction week is an introductive week to the Master’s Degree Programme in Big Data and Management during which students can settle in and familiarise themselves with life on campus. Ice-breaking labs, seminars, workshops, and presentations allow students to meet their classmates and get a better idea of the services offered by Luiss Business School, as well as curricular and extracurricular activities.

General management

General management courses aim to give all students the necessary business management foundations in order to better understand new concepts that will be introduced during the core and advanced courses. The general management courses provide students with an overview is highly useful upon entering the job market.

• Strategy
• Accounting
• Organisation & HR Management
• Business Law
• Economics of Strategy

Core courses

The core courses introduce students to industry-focused concepts that are specific to this major. These courses provide students with the key principles and skills they need to better understand their chosen sector.

• Data Science Toolkit
• Programming for Data Analysis 1
• Statistics for Data Science
• Econometrics
• Python for Finance
• Big Data Programming Models
• Programming for Data Analysis II

Advanced courses

The advanced courses provide students with an in-depth perspective on specific aspects of international business, adopting a more practical approach.

• Machine Learning
• Time Series Econometrics
• Marketing Analytics
• Advanced Visualisations
• Practical Big Data: Business Case

Learning Labs

Learning labs focus on personal development. During the programme, students develop cross-functional and soft skills by attending sessions to cultivate intellectual flexibility, develop problem solving skills, learn to adapt in diverse situations and refine cross-cultural awareness.

Internship

The curricular internship is generally done at the end of the Master’s Degree Programme in Big Data and Management and represents an opportunity for students to combine theory and hands-on experience, coming into direct contact with professionals working in the industry. The Career Service Office supports students in their search for internship opportunities, thus helping to broaden their career prospects and giving them the possibility to acquire the necessary work experience, both increasing and improving their skills while expanding their business network.

Academic Calendar

The Master’s Degree Programme in Big Data and Management lasts 12 months and is divided in 4 terms.