Learn in depth about the General Data Protection Regulation and master the obligations that must be integrated into Big Data projects whose source of
information is the personal data of individuals"

Why Study at TECH?

TECH is the world's largest 100% online business school. It is an elite business school, with a model based on the highest academic standards. A world-class centre for intensive managerial skills training.   

TECH is a university at the forefront of technology, and puts all its resources at the student's disposal to help them achieve entrepreneurial success"

At TECH Global University

Innovation

The university offers an online learning model that combines the latest educational technology with the most rigorous teaching methods. A unique method with the highest international recognition that will provide students with the keys to develop in a rapidly-evolving world, where innovation must be every entrepreneur’s focus.

"Microsoft Europe Success Story", for integrating the innovative, interactive multi-video system.  

The Highest Standards

Admissions criteria at TECH are not economic. Students don't need to make a large investment to study at this university. However, in order to obtain a qualification from TECH, the student's intelligence and ability will be tested to their limits. The institution's academic standards are exceptionally high...  

95% of TECH students successfully complete their studies.

Networking

Professionals from countries all over the world attend TECH, allowing students to establish a large network of contacts that may prove useful to them in the future.  

100,000+ executives trained each year, 200+ different nationalities.

Empowerment

Students will grow hand in hand with the best companies and highly regarded and influential professionals. TECH has developed strategic partnerships and a valuable network of contacts with major economic players in 7 continents.  

500+ collaborative agreements with leading companies.

Talent

This program is a unique initiative to allow students to showcase their talent in the business world. An opportunity that will allow them to voice their concerns and share their business vision. 

After completing this program, TECH helps students show the world their talent. 

Multicultural Context

While studying at TECH, students will enjoy a unique experience. Study in a multicultural context. In a program with a global vision, through which students can learn about the operating methods in different parts of the world, and gather the latest information that best adapts to their business idea. 

TECH students represent more than 200 different nationalities.   

Learn with the best

In the classroom, TECH teaching staff discuss how they have achieved success in their companies, working in a real, lively, and dynamic context. Teachers who are fully committed to offering a quality specialization that will allow students to advance in their career and stand out in the business world. 

Teachers representing 20 different nationalities. 

TECH strives for excellence and, to this end, boasts a series of characteristics that make this university unique:   

Analysis

TECH explores the student’s critical side, their ability to question things, their problem-solving skills, as well as their interpersonal skills.  

Academic Excellence

TECH offers students the best online learning methodology. The university combines the Relearning method (a postgraduate learning methodology with the highest international rating) with the Case Study. A complex balance between tradition and state-of-the-art, within the context of the most demanding academic itinerary.  

TECH is the world’s largest online university. It currently boasts a portfolio of more than 10,000 university postgraduate programs. And in today's new economy, volume + technology = a ground-breaking price. This way, TECH ensures that studying is not as expensive for students as it would be at another university.  

At TECH, you will have access to the most rigorous and up-to-date case studies in the academic community”

The Postgraduate diploma in Corporate Data Management is an exceptional program that challenges the professional by directing their attention to success in this competitive environment based on the information they gather from data. It is a program that has been structured in such a way that the student not only acquires all the knowledge and skills they need, but also presents a unique and stimulating experience that will take them to the top of their professional capacity, becoming a key figure in any company today

Compliance with data protection regulations creates challenges in the lifecycle of Big Data projects. To face them with success by taking this program designed by TECH"

Syllabus

The Postgraduate diploma in Corporate Data Management at TECH Global University is an intensive program that prepares students to face challenges and strategic decisions in the corporate environment with business intelligence tools, that is, data management. Therefore, the content of the program is designed to master the legislative field concerning data processing 

Throughout 450 hours of preparation, the student analyzes a multitude of practical cases through individual and team work. It is, therefore, an authentic immersion in real business situations

In this way, this Postgraduate diploma deals in depth with the concept of Business Intelligence to implement it in business management so that it brings positive results to the company, from a disruptive, complete and up-to-date perspective, focused on solving the real needs of the business world

It is designed to train professionals who understand Business Intelligence with a strategic, international and innovative approach 

A syllabus fully designed for the student, focused on their professional improvement, preparing them to achieve excellence. A program that understands both the needs of the student and the company, through innovative content based on the latest trends, supported by the best educational methodology and an exceptional faculty

This Postgraduate diploma takes place over 6 months and is divided into 3 modules: 

Module 1. Enterprise Business Intelligence 
Module 2. Data Management
Module 3. Data Protection

Where, when and how is it taught?

TECH offers its students the possibility of taking this program completely online. During the 6 months of the qualification, the student has free and full access to the complete educational content of the subject, and can even download it from any device with an internet connection

Module 1. Business Intelligence 

1.1. Corporate Business Intelligence 

1.1.1. The World of Data
1.1.2. Relevant Concepts
1.1.3. Main Characteristics
1.1.4. Solutions in Today's Market
1.1.5. Overall Architecture of a BI Solution
1.1.6. Cybersecurity in BI and Data Science

1.2. New Business Concept 

1.2.1. Why BI?
1.2.2. Obtaining Information
1.2.3. BI in the Different Departments of the Company
1.2.4. Reasons to Invest in BI

1.3. Data Warehouse 

1.3.1. Definition and Objectives Data Warehouse and Data Mart
1.3.2. Architecture
1.3.3. Dimensional Modeling and Its Types of Diagrams
1.3.4. Extraction, Transformation and Loading Process (ETL)
1.3.5. Metadata

1.4. Big Data and Data Capture

1.4.1. Capture
1.4.2. Transformation
1.4.3. Storage

1.5. Reporting Business Intelligence (BI) 

1.5.1. Database Structures
1.5.2. OLTP and OLAP Databases
1.5.3. Examples:

1.6. Dashboards or Balanced Scorecards 

1.6.1. Balanced Scorecards
1.6.2. Decision Support Systems
1.6.3. Executive Information Systems 

1.7. Deep Learning

1.7.1. Deep Learning
1.7.2. Deep Learning Fundamentals
1.7.3. Deep Learning Applications

1.8. Machine Learning

1.8.1. Machine Learning 
1.8.2. Machine Learning Fundamentals
1.8.3. Uses of Machine Learning 
1.8.4. Deep Learning vs. machine Learning 

1.9. BI Tools and Solutions

1.9.1. Choosing the Best Tool
1.9.2. Microsoft Power BI, MicroStrategy and Tableau
1.9.3. SAP BI, SAS BI and Qlikview
1.9.4. Prometheus

1.10. BI Project Planning and Management 

1.10.1. First Steps to Define a BI Project
1.10.2. BI Solution for the Company
1.10.3. Requirements and Objectives

Module 2. Data 

2.1. Statistics

2.1.1. Statistics: Descriptive Statistics, Statistical Inferences 
2.1.2. Population, Sample, Individual 
2.1.3. Variables: Definition, Measurement Scales 

2.2. Types of Data Statistics 

2.2.1. According to Type

2.2.1.1. Quantitative: Continuous Data and Discrete Data
2.2.1.2. Qualitative: Binomial Data, Nominal Data and Ordinal Data 

2.2.2. According to Its Form: Numerical, Text, Logical
2.2.3. According to Their Source: Primary, Secondary

2.3. Data Management Planning

2.3.1. Definition of Objectives
2.3.2. Determination of Available Resources
2.3.3. Establishment of Time Lapses
2.3.4. Data Structure

2.4. Data Collection

2.4.1. Methodology of Data Collection
2.4.2. Data Collection Tools
2.4.3. Data Collection Channels

2.5. Data Cleaning 

2.5.1. Phases of Data Cleansing
2.5.2. Data Quality
2.5.3. Data Manipulation (with R)

2.6. Data Analysis, Interpretation and Evaluation of Results 

2.6.1. Statistical Measures
2.6.2. Relationship Indices
2.6.3. Data Mining

2.7. Data Visualization 

2.7.1. Suitable Display According to Data Type
2.7.2. End-User Considerations
2.7.3. Executive Models of Results Presentation

2.8. Data Warehouse (Datawarehouse) 

2.8.1. Elements that Comprise it
2.8.2. Design
2.8.3. Aspects to Consider

2.9. Data Availability 

2.9.1. Access
2.9.2. Uses
2.9.3. Security

2.10. Practical Application 

2.10.1. Data Exploration
2.10.2. Manipulation and Adjustment of Patterns and Structures
2.10.3. Test Application and Modeling

Module 3. Data Protection 

3.1. Data Protection Regulations 

3.1.1. Regulatory Framework
3.1.2. Definitions 
3.1.3. Subjects Obliged to Comply with the Regulations 

3.1.3.1. Differences between Controllers, Joint Controllers and Processors 

3.1.4. Data Protection Officer

3.2. Harmonized Regulation of Artificial Intelligence: Proposal for a European Regulation 

3.2.1. Prohibited Practices 
3.2.2. High-Risk Artificial Intelligence Systems 
3.2.3. Innovation Support Measures 

3.3. Principles Relating to the Processing of Personal Data 

3.3.1. Fairness, Loyalty and Transparency 
3.3.2. Purpose Limitation 
3.3.3. Data Minimisation, Accuracy and Limitation of Retention Period 
3.3.4. Integrity and Confidentiality 
3.3.5. Proactive Responsibility 

3.4. Basis of Lawfulness or Legitimacy and Authorizations for the Processing, Including, if Applicable, the Communication of the Data

3.4.1. Consent 
3.4.2. Contractual Relationship or Pre-Contractual Measures 
3.4.3. Fulfillment of a Legal Obligation 
3.4.4. Protection of Vital Interests of the Data Subject or Another Person 
3.4.5. Public Interest or Exercise of Public Powers 
3.4.6. Legitimate Interest: Weighing of interests 

3.5. Individuals Rights

3.5.1. Transparency and Information 
3.5.2. Access 
3.5.3. Rectification and Deletion (Right to be Forgotten), Limitation and Portability 
3.5.4. Opposition and Automated Individual Decisions 
3.5.5. Limits to Rights 

3.6. Data Protection by Design: Analysis and Management of Personal Data Processing Risks 

3.6.1. Identification of Risks and Threats to the Rights and Freedoms of Individuals 
3.6.2. Risk Assessment 
3.6.3. Risk Management Plan 

3.7. Techniques for Ensuring Compliance with Data Protection Regulations 

3.7.1. Identification of Proactive Accountability Measures 
3.7.2. Organizational measures 
3.7.3. Technical Measures
3.7.4. The Register of Processing Activities 
3.7.5. Security Breach Management 
3.7.6. Codes of Conduct and Certifications 

3.8. The Data Protection Impact Assessment (DPA or DPIA) 

3.8.1. EIPD Needs Assessment 
3.8.2. Evaluation Methodology 
3.8.3. Identification of Risks and Threats 
3.8.4. Prior Consultation with the Supervisory Authority 

3.9. Contractual Regulation between Those Responsible, Those in charge and, Where Applicable, Other Subjects. International Data Transfers 

3.9.1. Data Access or Data Processing Contract 
3.9.2. Contracts between Co-Responsible Parties
3.9.3. Responsibilities of the Parties 
3.9.4. Definition and Safeguards to be Adopted in International Transfers 

3.10. Control Authorities. Violations and Penalties 

3.10.1. Violations 
3.10.2. Fines 
3.10.3. Penalty Procedure 
3.10.4. Control Authorities and Cooperation Mechanisms 

A unique, key, and decisive educational experience to boost your professional development and make the definitive leap"