International Master in Business Analytics and Big Data
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Since the beginning, a friendly and welcoming staff received me and gave me the needed information to start the journey. Later, the dean showed us the foundations and values in which MIP philosophy is based on, the its strong relationship and commitment with both corporate world and society. The Career Development team offer an extensive list of services offered for us to be able to not only to meet our academic duties but also to develop and grow both professionally and personally.
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The reason I came to MIP was continuining my studies in an innovative and effective perspective. It is a well structured course from a technological and business point of view. I had the chance to study side by side with students coming from different countries which gave me a unique plus for my personal and professional growth.
← | →
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I felt welcome from the get-go and the friendly atmosphere at MIP further helped me settle in. My master definitely broadened my horizon and gave me a platform to relaunch my career. The course hasa perfect blend which helped me develop business acumen and technical know-how.
← | →
Master
In Milano (Italy)
Learn the best business/management tools!
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Type
Master
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Location
Milano (Italy)
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Duration
12 Months
Business Analytics and Big Data master program is an innovative programme based on a holistic educational experience, where theory and practice are fully interlaced through the continuous support of companies and international partners. Furthermore, being in constant relationship with the Big Data Analytics & Business Intelligence Observatory of Politecnico di Milano, the course is at the forefront of research on ICTs for big data analysis and management. This truly unique programme is jointly offered by MIP and CEFRIEL - Politecnico di Milano and it is in partnership with IBM.
Facilities
Location
Start date
Start date
About this course
Ability of combining advanced analytical tools with business processes to improve decision making and exploit new opportunities. //
Methodological and technical background required to select, apply or even design effective predictive methods for the business domain. //
Ability of gaining valuable insights from big data extraction, processing and interpretation. //
Interdisciplinary skills that enhance the communication and integration with different stakeholders within the organization.
Young and brilliant graduate talents willing to be prepared for the jobs of the future as Business Analyst and Big Data Manager.
3 years bachelor degree in the areas of Computer Science, Economics, Engineering, Management, Mathematics, Science or Statistics from Accredited Institutions.
First Level Specializing Master Degree.
The Master is addressed to students willing to combine technical knowledge with business applications. The added value of the Master is to offer a combination of machine learning tools and business/management tools.
The Recruitment Team will get in touch with the candidates. The candidates are invited to send the CV.
Reviews
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Since the beginning, a friendly and welcoming staff received me and gave me the needed information to start the journey. Later, the dean showed us the foundations and values in which MIP philosophy is based on, the its strong relationship and commitment with both corporate world and society. The Career Development team offer an extensive list of services offered for us to be able to not only to meet our academic duties but also to develop and grow both professionally and personally.
← | →
-
The reason I came to MIP was continuining my studies in an innovative and effective perspective. It is a well structured course from a technological and business point of view. I had the chance to study side by side with students coming from different countries which gave me a unique plus for my personal and professional growth.
← | →
-
I felt welcome from the get-go and the friendly atmosphere at MIP further helped me settle in. My master definitely broadened my horizon and gave me a platform to relaunch my career. The course hasa perfect blend which helped me develop business acumen and technical know-how.
← | →
Course rating
Recommended
Centre rating
Jose Guzman
Antonio Di Blasi
Zeeshan Qureshi
Filippo Beone
José Guzmán
This centre's achievements
All courses are up to date
The average rating is higher than 3.7
More than 50 reviews in the last 12 months
This centre has featured on Emagister for 6 years
Subjects
- Data analysis
- Supply
- Marketing
- International
- Finance
- Business Analytics
- Strategic Management
- Big Data
- Data Protection
- Mobile Technology
Course programme
General Management:
- Strategy and marketing
- Accounting and finance
- Organization design
- Supply chain management
Data Management and Warehousing:
- Business information systems
- Data warehouse
- Data management
- Data integration and security
- Big data cloud technologies
- Semantic web technologies
- Mobile technologies
Fundamentals of Statistics and Data Visualization:
- Introduction to descriptive statistics
- Exploratory data analysis
- Data visualization process and tools
Predictive Analytics and Business Applications:
- Big data opportunities and applications
- Data mining and machine learning
- Business applications of advanced analytics
Analytics for Management:
- Supply chain analytics
- Finance analytics
- Marketing analytics
- Organization/HR analytics
Elective courses:
Short programs for customizing the training path.
Students will have the opportunity to specialize their master by following elective concentrations on topics such as:
- Analytics for Finance
- Analytics on Customer Experience
- Social Media Marketing
- Analytics for Supply Chain Management
- HR and Organization
- Analytics Urbanscope
- Big Data use for strategic innovation in public sector (education, healthcare)
Participants may follow elective courses also in one or more business schools in the network of international MIP partners.
The educational programme requires the completion of a final project work, which consists either of a curricular in-company internship, supervised by a faculty member, or of a master thesis that will be defended as a final exam.
Additional information
International Master in Business Analytics and Big Data