Professional Master in Big Data and Digital Transformation of the Company

The digital transformation in the field of the company is an unstoppable phenomenon. In an increasingly competitive and hyper-professionalized environment, being at the forefront of technology is the only way to be able to succeed at work.

The field of digital transformation affects all areas of the company and all sectors without exception. And within these transformative processes, there is an element that represents a true competitive advantage: the correct management of data.

Big data has become the buzzword in the organizational arena. In recent years, the most requested positions by companies are those of a specialist in big data in the field of the company. According to the World Economic Forum, in its report The Future of Jobs, by 2022 85% of companies will have adopted big data technologies.

This demand for professionals is difficult to cover because there is a double gap in the profiles sought: on the one hand, technical profiles specialized in big data do not usually have practical business knowledge; on the other hand, professionals in different areas of the company rarely have the necessary technical knowledge.

It is essential to understand that big data and digital transformation are not only about platform learning, but especially about their practical application for the specific interests of the company.

In this context, the CEF.- launches its Professional Master in Big Data and Digital Transformation of the Company, which pursues the objective of training students in this double aspect, both technical and business, to improve their job growth.

A differential element of this program is the eminently practical approach to the content, both due to the fact that the main tools of the big data ecosystem are taught and to face the challenges that digital transformation poses, and due to the fact that the teachers who Those who teach the master are specialists in the digitalization of the different areas of the company, who directly participate in big data projects in the field of organizations.

Addressed to

The CEF Professional Master in Big Data and Digital Transformation of the Company is aimed at university graduates from the different areas of the company, as well as technical profiles with special interest in the digital transformation processes of organizations.

Completing this master's degree requires a significant personal effort to successfully achieve the objectives pursued.

The program is taught on weekends (Friday afternoons and Saturday mornings, respecting the long weekends) to be able to combine it with professional activity.

The program starts with a 0 course in basic programming in SQL and ETL for those students who are not familiar with the technological environment.

Module 1: Big Data Technological Ecosystem

• Relationships between tables
• Ecosystem Overview

Data Storage

• Structured Data (SQL, CSV)
• Semi-structured and unstructured data (text and multimedia, XML, JSON)
• Big Data Batch Ecosystems: Spark and Hadoop
• Big Data Stream Ecosystems: Storm, Kafka
• Cloud system providers: Microsoft Azure, Amazon Web Services

Data processing

• Advanced Analytics; Classification, clustering, anomaly detection; Machine learning
• Basic statistical analysis: regression
• Data processing with R and Python
• Advanced Analytics platforms: Dataiku, Rapid Minder

Data Visualization

• Visualization Theory: Setting KPIs
• Data visualization with Tableau
• Power BI

Module 2: Digital Transformation and Innovation in the Company

Digital Transformation

• Challenges, stages and characteristics
• Transformation levels
• Change drive models
• Metrics for transformation
• Disruptive technologies (4 sessions)

Project Creation and Management

• Design Thinking
• Rapid prototyping and Minimum Viable Unit
• Cascade models vs. Agile methodologies
• PMP Methodology for Project Management
• SCRUM Methodology and Certificate
• Change Management

Module 3: Big Data and Digital Transformation for the Legal-Legal Field

• Data governance theory
• GRPD
• Cloud and data security
• Outsourcing and external security

Module 4: Big Data and Digital Transformation for Marketing and Commercial Management

• Advanced analytics applied to marketing
• Attribution models
• Analysis of sentiment in social networks
• Customer Clustering
• Churn rate (customer drop)
• Data management platform
• CRO and Inbound Marketing, A/B Testing
• Chatbots and machine learning methods
• Marketing automation
• Big Data and search engine marketing
• Recommenders, cross selling and up selling
• Geomarketing
• Price fixing
• Sales forecast
• Programmatic purchasing and Real Time Bidding
• Ad Fraud, Viewability and Brand Safe
• DMP

Module 5: Big Data and Digital Transformation for Finance

• Fintech
• Analysis of the Pipeline and the deviation according to pricing, churn rate
• Credit Scoring
• Non-payment models
• Fraud identification and anomaly detection
• Advanced dashboards
• Cryptocurrencies and New Digital Payment Methods
• Mobile banking
• Digital financial instruments and tools
• Crowdfunding, microcredits
• Financial investment automation technologies
• Risk management
• Cost analysis and efficiency optimization
• Performance management (forecasting platforms, budgeting)

Module 6: Big Data and Digital Transformation in Logistics and Operations

• Uses of ICT in Logistics
• EDI and Barcode
• ERP and CRM
• Reverse logistics and data management
• Just in Time Systems
• Applications for the last mile
• Analysis of optimized routes
• Capacity and stock breakdown analysis
• Demand forecasting and supply chain
• Address verification using big data technology
• E-logistics and mobile logistics
• Robotization of logistics processes
• Track merchandise in real time

Module 7: Big Data and Digital Transformation in Human Resources (People Analytics)

• Job valuation through advanced data analysis
• HR Analytics
• Workforce planning
• Talent maps
• Prediction of talent drain and unwanted turnover
• Variable remuneration and compensation

Module 8: Master's Final Project

Big data and digital transformation are some of the most dynamic sectors there are. On the one hand, there is a specific demand for professionals especially aimed at these areas: digital transformation consultant, project manager, big data developer, big data architect, data scientist, advanced analytics specialist, big data and business intelligence consultant, specialist in digital transformation, machine learning engineer, NLP consultant, business analyst.

On the other hand, in the different departments of the company it will be necessary to incorporate these professionals. In other words, soon it will be unthinkable for there to be a financial, marketing or human resources director who does not have specific knowledge in digital transformation and data management.

Job Board

The Job and Entrepreneur Exchange is a free service offered to both students and alumni of CEF.- UDIMA as well as companies that wish to fill positions in different functional areas, with the aim of creating a mutual interrelation. It has offices in Barcelona, Madrid and Valencia from which national and international offers are managed.

The Job and Entrepreneurs Exchange offers professional guidance and information for employment and is a magnificent source of recruiting professional profiles at any level of the company, from interns in training practices to senior profiles, including managers and technicians. To facilitate searches, it has its own employment and internship portal.

As an example of its projection, CEF.- UDIMA has signed more than 4,000 agreements with national and international collaborating companies from all business sectors.