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Luiss Big Data and Management Master's in Digital and Business Overview







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Introduction to Luiss Big Data and Management Master's in Digital and Business

The Master’s Degree Programme in Big Data and Management Master in Digital and Business Transformation 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.

Why Study Luiss Big Data and Management Master's in Digital and Business?


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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.

Program Costs + Living Expenses : Luiss Big Data and Management Master's in Digital and Business


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Tuition for this Master is €18,000. Payment is made in four instalments. Tuition includes materials and access to all Luiss Business School facilities.

Living expenses in Rome, Italy vary depending on your lifestyle and spending habits. However, you can expect to spend around €1,000-€1,500 per month on living expenses, including accommodation, food, transportation, and other necessities.

Here is a breakdown of some typical living expenses in Rome:

  • Accommodation: €500-€800 per month
  • Food: €200-€300 per month
  • Transportation: €50-€100 per month
  • Other expenses (utilities, phone, internet, etc.): €100-€200 per month

Please note that these are just estimates, and your actual expenses may vary.

Employement Prospects : Luiss Big Data and Management Master's in Digital and Business

    Most Sought-after Jobs

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

Companies that have hired graduates from the Big Data and Management Major in the recent past are some of the most important in the field, such as:

  • iConsulting
  • BIP
  • Accenture
  • Philip Morris
  • Deloitte
  • Enel
  • Johnson&Johnson
  • Acea
  • Soprasteria
  • Octo Telematics
  • Bulgari
  • Fater
  • Ericsson

Eligibility Criteria for Luiss Big Data and Management Master's in Digital and Business

Graduates or those graduating with a Bachelor’s or Master’s Degree in Economics, Statistics, Engineering, Information Systems, Mathematics or related fields.

Documents required : Luiss Big Data and Management Master's in Digital and Business

Prior to the admission test, candidates must email the following documents to [email protected]:

  • fully completed application form
  • copy of degree certificate*
  • curriculum vitae
  • digital ID photo
  • copy of passport or ID document
  • Admission fee receipt of € 75 (non-refundable)
  • TOEFL/IELTS certificate (optional)
  • GMAT/GRE certificate (optional)

Candidates with an international degree are required to send the following further documentation for evaluation:

  • copy of degree certificate both in original language and in English *
  • transcript of records in English
  • diploma supplement (optional)

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Scholarships Available : Luiss Big Data and Management Master's in Digital and Business

Luiss Business School offers deserving candidates up to 3 partial scholarships (covering up to 20% of the tuition fee). The scholarships will be granted based on merit. All enrolled candidates will be considered.

Candidates will be assessed on:

  • Academic track record (final grade, GPA)
  • Admission test scores
  • English proficiency
  • Technical competences (Office, Adobe, etc.)
  • Proven expertise or personal acknowledgement
  • Certifications
  • International experience

INPS scholarships

The publication date of the call for scholarships offered to Italian students by the Italian National Welfare Institute (INPS) has yet to be defined by the institution.

For more details, please e-mail [email protected]

Specializations & Electives Offered

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.

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 & People Management
  • Business Law
  • Economics of Strategy
  • Financial Management
  • Marketing Analytics

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
  • Special Topics in Machine Learning
  • Practical Big Data: Business Case


The curriculum is designed to give students a strong foundation in big data and analytics, as well as the business skills they need to apply their knowledge to real-world problems.

Graduates of the program are well-prepared for careers in a variety of industries, including:

  • Technology
  • Consulting
  • Finance
  • Retail
  • Healthcare
  • Manufacturing
  • Government

Yes, there are a scholarships available to students in the program. These scholarships are awarded based on academic merit and financial need whixh are mentioned above.

Students have access to a variety of support services, including academic advising, career counseling, and tutoring.

Yes, the program is accredited by the Italian Ministry of Education and the Association to Advance Collegiate Schools of Business (AACSB).

Application Process & timeline

We strongly advise all our clients to have a proper excel sheet or a timetables mapped out.
Once you are done with GMAT the entire application process usually take 4-6 weeks

Step 1

GMAT / GRE Score

2-3 months.

If you are not sure about what score to target then look at the average score of the schools you want and shoot above the average. 

Step 2

Profile Evaluation

 1-2 weeks.

Get your profile evaluated from a professional consultant and figure out what schools you can target based on your profile

Step 3

Application Prep

3-4 weeks at least. 

Start writing at least 1 month in advance of their 1st deadline. First application usually takes the longest.

Step 4

Interview Prep

1 week

School will notify you and give you roughly 1 week to schedule your interview. Ideally, start your prep ASAP and Do some mock interviews.

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