What does it consist of?
This master's degree provides students and professionals the opportunity to train professionally in fields with a high demand for qualified personnel of great social interest, such as the analysis of large volumes of data (Big Data) and the development of smart businesses. But fundamentally, it will provide the ability to explore, organize and analyze these data to extract knowledge from them and make predictions. Highlight that assisted by this type of decision-support technology, the identification of new business areas can lead to innovative products and services that may involve improving the competitiveness of companies and public institutions.
Among the contents taught in the master can be found the necessary technologies for the analysis of massive data (big data), statistical learning and decision making, econometrics for massive data, mass data and business management, cloud computing (cloud computing) , data mining and texts, analysis of time series, etc. Through its three specializations the student will be able to choose the desired formation profile of the master. You can opt for a profile dedicated to applications in economic and business management, a profile more focused on management tools and intelligent analysis of data and finally a more technological profile in the management of massive data. This master combines rigorous and academic training with work in real applications and practices, using the appropriate software and hardware platforms.
What will you learn?
- Know how to recover data and extract knowledge from large volumes of data through the efficient application of data analysis techniques in different domains. Adopt appropriate modes of interaction according to the user tasks that are being supported, especially in those cases in which analytical reasoning intervenes
- Properly and with originality develop motivated arguments and work projects, write plans, professional reports as well as formulate hypotheses and reasonable guesses in their area of specialization
- Know advanced applications of data science and its technologies to the economy, business and tourism.
- Understand and use the language and tools associated with data analysis to model and solve complex problems, recognizing and assessing situations and problems that can be treated using these tools and associated techniques.
- Know the models, methods and relevant techniques in different areas of application of Statistics participating in the creation of new technologies that contribute to the development of the Information Society.
- Ability to apply the principles of data science to the economy, business and tourism, as well as to know the legislation, regulation and standardization associated with the use of data.
- Know and use the different regression techniques for diagnosis, evaluation, inference and subsequent decision making.
- Ability to process large documentary volumes to extract patterns and knowledge through text mining and web mining techniques.
- Ability to identify central actors, relationships of influence and power, as well as to identify patterns of exchange, in social networks.
- Know the application areas of the "Big Data" paradigm and develop the capacity to extend data analysis to strategic activities in economy, business and tourism.
- Ability to model the dependency between a response variable and several explanatory variables, in complex data sets, using regression techniques, and interpreting the results obtained.
- Design and plan a data analysis project on real problems in the economic, business or tourism field.
- Ability to model real phenomena through random vectors and apply the main techniques of multivariate analysis in the context of industry and business.
What can you do when you're finished?
The cross-sectional nature of the proposed training means that, despite not being able to speak of a direct productive sector or especially related to the present Master's proposal, it is of great interest for technologists and professionals of companies and public and private institutions.
Its attractiveness lies precisely in that it is useful for the most varied sectors of activity, from companies of a purely production nature to companies and service entities, including among them public administrations.
Programmers "Big Data" (or "Data Developers"), Analysts or Data Scientists ("Data Analysers" or "Data Scientists"), and professional data expert ("Data Businessperson") are some new professions that have arisen around of the Analysis of Massive Data. At present, there is a great demand for trained professionals with capabilities in this field.
Access to other studies and professional opportunities
The Master aims to give a higher specialization that allows access to a new level of knowledge and also act as a program for the continuing education of active professionals who need to develop the skills offered by this new title. The interest in Management Technologies and Massive Data Analysis is transversal to many branches of knowledge and, in particular, to the branches related to the Social Sciences.
The Master offers participants knowledge and skills that will help them to analyze, decide, implement and optimize initiatives based on the technologies related to the analysis of massive data, which will be very useful to improve not only their knowledge but also their professional expectations
Finally, given that the master also addresses the training of future researchers, students of this profile will be able to continue their training in one of the UIB's doctoral programs, since the university offers various doctoral programs which the masters graduates could access. Specifically, we can mention: 1) the Doctorate in Applied Economics, with mention of excellence in the Ministry of Education, with lines of research in Econometrics and Tourism Economics; 2) the Doctorate in Information Technology and Communications; 3) the Doctorate in Economics, Organization and Management, together with the Public Universities of Navarra and Autónoma de Barcelona.
Structure of the studies
The Master's Degree: "Analysis of massive data in Economics and Business" is a Master of 90 credits.
To obtain the Master's degree with professional orientation or research orientation, students must take:
- 33 compulsory credits.
- 18 specialty elective credits.
- 9 elective credits chosen among those not previously studied and the rest of the specialties.
- 12 credits of external internships.
- 18 credits of the End of Master Project.
The credits of external internships can be recognized by accreditation of work and professional experience, as long as the student justifies and demonstrates that the work and professional experience is directly related to the subject and competences of the Master.
- Technologies for the analysis of massive data
- Statistical learning and decision making
- Social and economic networks
- Econometrics for massive data
- Mass data and business management
Depending on the training itinerary chosen by the student, the following specialties are considered : "Computer technologies for the management of massive data", "Tools in management and intelligent analysis of data" and "Techniques and applications to economic and business management".
Below you can see the list of subjects that make up each of the specialties.
Computer technologies for the management of massive data
- Data visualization
- Cloud Computing (Cloud Computing)
- Semantic information technologies
- Management and storage of massive data
- Data and text mining
Tools in intelligent data management and analysis
- New trends in Data Mining
- Statistical Techniques with Imprecisa Information
- Optimization Techniques with Imprecisa Information
- Statistical learning and decision making II
- Mass data simulation and sampling tools
Techniques and applications to economic and business management
- Analysis of time series
- Decision making and game theory
- Finance and econometrics with high frequency data.
- Applications of data mining to the tourism industry
- Human resources management
- Management of health organizations
- Mining of texts for the social sciences
Admission profile and admission criteria
The master's degree is aimed at Engineers (all types), graduates or graduates in Physics, Mathematics, Statistics, Economics, Business Administration and Management (ADE) (it is recommended that students of the ADE degree of the UIB have completed the elective course ( 20632) Analysis of Mutualiary Surveys and Techniques).
No specific tests of access to the Master's degree are defined in "Analysis of Massive Data in Economics and Business". However, it is established as an access criterion that new students coming from Degrees study plans come from those belonging to the branch of knowledge of Engineering and Architecture, Social and Legal Sciences (Economics and Business Administration and Management) and Sciences (Statistics, Mathematics, Physics). The recommended entry profile is that of the student who has completed the Degree in Computer Engineering, Mathematics, Statistics, Physics, Economics or Business Administration and Management. For the rest of the Degrees of the branch of knowledge of Engineering and Architecture, the Academic Committee of the Degree (CAT) will evaluate if in the corresponding Degree the student has received the training and acquired the adequate competences to be able to follow the studies of the Master without need of making training complements, which will determine the acceptance or not of the student in particular.
The admission criteria will weight firstly that they meet the entrance profile to the degree and secondly the average grade of the academic record of the studies of access to the Master.
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