One of our key objectives is to help you develop the essential skills for the use of Visual Analytics and Big Data in business”

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”

This Executive Master’s Degree in Visual Analytics and Big Data is a tailor made programme that is taught in a 100% online format so students can choose the time and place that best suits their availability, schedules and interests. A program that takes place over 12 months and is intended to be a unique and stimulating experience that lays the foundation for your success as a professional.

A stimulating professional growth journey designed to keep you interested and motivated throughout the program"

Syllabus

TECH Global University’s Executive Master’s Degree in Visual Analytics and Big Data is an intensive program that prepares students to face challenges and business decisions in the field of Visual Analytics and Big Data.  

The content of this Executive Master’s Degree in Visual Analytics and Big Data is designed to promote the development of skills that enable more rigorous decision-making in uncertain environments.

Over the course of 1,500 hours, the student analyzes a plethora of practical cases through individual and teamwork. It is, therefore, an authentic immersion in real business situations. 

This Executive Master’s Degree deals, in depth, with the world of computer science in the business world, and is designed to prepare professionals who understand Visual Analytics and Big Data from a strategic, international and innovative perspective.

A plan designed with students in mind, focused on their professional improvement and preparing them to achieve excellence in the field of leadership and business management. A program that understands your needs and those of your company through innovative content based on the latest trends, and supported by the best educational methodology and an exceptional faculty, which will provide you with the competencies to solve critical situations in a creative and efficient way. 

This Executive Master’s Degree takes place over 12 months and is divided into 10 modules: 

Module 1. Visual Analytics in the Social and Technological Context
Module 2. Data Analysis and Interpretation
Module 3. Data Analysis Techniques and AI
Module 4. Data Analysis Tools
Module 5. Database Management and Data Parallelization Systems
Module 6. Data-Driven Soft Skills in Strategic Management in Visual Analytics
Module 7. Strategic Management of Visual Analytics and Big Data Projects
Module 8. Client Analysis. Applying Data Intelligence to Marketing
Module 9. Interactive Visualization of Data
Module 10. Visualization Tools

Where, when and how is it taught?

TECH offers the possibility of developing this Executive Master’s Degree in Visual Analytics and Big Data completely online. Over the course of 12 months, you will be able to access all the contents of this program at any time, allowing you to self manage your study time.

Module 1. Visual Analytics in the Social and Technological Context

1.1. Technological Waves in Different Societies. Towards a ‘Data Society’
1.2. Globalization. Geopolitical and Social World Context
1.3. VUCA Environment. Always Living in the Past
1.4. Knowing New Technologies: 5G and IoT
1.5. Knowing New Technologies: Cloud and Edge Computing
1.6. Critical Thinking in Visual Analytics
1.7. Knowmads. Nomads Among Data
1.8. Learning to Be an Entrepreneur in Visual Analytics
1.9. Anticipation Theories Applied to Visual Analytics
1.10. The New Business Environment: Digital Transformation

Module 2. Data Analysis and Interpretation

2.1. Introduction to Statistics
2.2. Measures Applicable to the Processing of Information
2.3. Statistical Correlation
2.4. Theory of Conditional Probability
2.5. Random Variable and Probability Distribution
2.6. Bayesian Inference
2.7. Sample Theory
2.8. Confidence Intervals
2.9. Hypothesis Testing
2.10. Regression Analysis

Module 3. Data Analysis Techniques and AI

3.1. Predictive Analytics 
3.2. Evaluation Techniques and Model Selection 
3.3. Lineal Optimization Techniques 
3.4. Monte Carlo Simulations 
3.5. Scenario Analysis 
3.6. Machine Learning Techniques 
3.7. Web Analytics 
3.8. Text Mining Techniques 
3.9. Methods of Natural Language Processing (NLP) 
3.10. Social Media Analytics 

Module 4. Data Analysis Tools

4.1. Data Science R Environment
4.2. Data Science Python Environment
4.3. Static and Statistical Graphs
4.4. Data Processing in Different Formats and Different Sources
4.5. Data Cleaning and Preparation
4.6. Exploratory Studies
4.7. Decision Trees
4.8. Classification and Association Rules
4.9. Neural Networks
4.10. Deep Learning

Module 5. Database Management and Data Parallelization Systems

5.1. Conventional Databases
5.2. Non-Conventional Databases
5.3. Cloud Computing: Distributed Data Management 
5.4. Tools for the Ingestion of Large Volumes of Data
5.5. Types of Parallels
5.6. Data Processing in Streaming and Real Time
5.7. Parallel Processing: Hadoop
5.8. Parallel Processing: Spark
5.9. Apache Kafka

5.9.1. Introduction to Apache Kafka
5.9.2. Architecture
5.9.3. Data Structure
5.9.4. Kafka APIs
5.9.5. Use Cases

5.10. Cloudera Impala

Module 6. Data-Driven Soft Skills in Strategic Management in Visual Analytics

6.1. Drive Profile for Data-Driven Organizations
6.2. Advanced Management Skills in Data-Driven Organizations
6.3. Using Data to Improve Strategic Communication Performance
6.4. Emotional Intelligence Applied to Management in Visual Analytics
6.5. Effective Presentations
6.6. Improving Performance through Motivational Management
6.7. Leadership in Data-Driven Organizations
6.8. Digital Talent in Data-Driven Organizations
6.9. Data-Driven Agile Organization I
6.10. Data-Driven Agile Organization II

Module 7. Strategic Management of Visual Analytics and Big Data Projects

7.1. Introduction to Strategic Project Management
7.2. Best practices  in the Description of Big Data Processes (PMI)
7.3. Kimball Methodology
7.4. SQuID Methodology

7.4.1. Introduction to SQuID Methodology to Approach Big Data Projects
7.4.2. Phase I. Sources
7.4.3. Phase II. Data Quality
7.4.4. Phase III. Impossible Questions
7.4.5. Phase IV. Discovering
7.4.6. Best Practices in the Application of SQuID in Big Data Projects

7.5. Big DataPrivacy
7.6. Cyber Security in Big Data
7.7. Identification and De-Identification with Large Volumes of Data
7.8. Data Ethics I
7.9. Data Ethics II

Module 8. Client Analysis. Applying Data Intelligence to Marketing

8.1. Concepts of Marketing. Strategic Marketing
8.2. Relationship Marketing
8.3. CRM as an Organizational Hub for Customer Analysis
8.4. Web Technologies
8.5. Web Data Sources
8.6. Acquisition of Web Data
8.7. Tools for the Extraction of Data from the Web
8.8. Semantic Web
8.9. OSINT: Open-Source Intelligence
8.10. Master Lead or How to Improve Sales Conversion Using Big Data

Module 9. Interactive Visualization of Data

9.1. Introduction to the Art of Making Data Visible
9.2. How to Perform Storytelling with Data 
9.3. Data Representation
9.4. Scalability of Visual Representations
9.5. Visual Analytics vs. Information Visualization. Understanding That It’s Not The Same Thing
9.6. Visual Analysis Process (Keim)
9.7. Strategic, Operative and Managerial Reports
9.8. Types of Graphs and Their Application
9.9. Interpretation of Reports and Graphs. Playing the Role of the Receiver
9.10. Evaluation of Visual Analytics Systems 

Module 10. Visualization Tools

10.1. Introduction to Data Visualization Tools
10.2. Many Eyes
10.3. Google Charts
10.4. jQuery
10.5. Data-Driven Documents I
10.6. Data-Driven Documents II
10.7. Matlab
10.8. Tableau
10.9. SAS Visual Analytics
10.10. Microsoft Power BI

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