Analyze the conditions that your team must meet to optimize the use and quality of data, becoming the leader that your organization needs”

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 Postgraduate diploma is characterized by an up-to-date program that meets the demands of a market that demands excellence in the management of a technology department. Thanks to its 100% online modality, students have access to the information from anywhere in the world. The duration of this educational program is 6 months and will be a unique and stimulating experience that will guarantee the success of the graduates. 

It's time to promote the change that your industry needs, making the most of the information extracted from your organization's data to make accurate and objective decisions” 

Syllabus

The Postgraduate diploma in Information Use in Data Science at TECH Global University will become a unique experience for computer engineers looking to face new work challenges.

In order to enhance the students' theoretical and managerial skills, the program content will enable them to manage a data structure, focusing on the typology and life cycle of data.

Throughout the 450 hours of the educational program, the student will understand the importance of IoT (Internet of Thing), which has become a revolution in the sector as it is the technological solution for companies seeking to create an ecosystem that enables industrial solutions. Therefore, it is an immersion of real business situations in the academic classroom.

Moving forward in the agenda, the technologies and tools on the market will be addressed, examining the principles of the most important components in a system that has to be designed to meet the challenge of big data. Knowing this information is valuable for the students, since it will favor their possibilities of aspiring to an important managerial position within their work team.

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

Module 1. Data and Information Management and Manipulation in Data Science
Module 2. IoT Devices and Platforms as the Basis for Data Science
Module 3. Architecture and Systems for Intensive Use of Data

Where, When and How is it Taught?

TECH offers the possibility of developing this Postgraduate diploma in Information Use in Data Science completely online. Over the course of 6 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. Data and Information Management and Manipulation for Data Science 

1.1. Statistics. Variables, Indices and Ratios

1.1.1. Statistics 
1.1.2. Statistical Dimensions 
1.1.3. Variables, Indices and Ratios

1.2. Type of Data 

1.2.1. Qualitative 
1.2.2. Quantitative 
1.2.3. Characterization and Categories

1.3. Data Knowledge from the Measurements

1.3.1. Centralization Measurements 
1.3.2. Measures of Dispersion 
1.3.3. Correlation 

1.4. Data Knowledge from the Graphs 

1.4.1. Visualization According to Type of Data 
1.4.2. Interpretation of Graphic Information 
1.4.3. Customization of graphics with R

1.5. Probability 

1.5.1. Probability 
1.5.2. Function of Probability 
1.5.3. Distributions 

1.6. Data Collection 

1.6.1. Methodology of Data Collection 
1.6.2. Data Collection Tools 
1.6.3. Data Collection Channels 

1.7. Data Cleaning 

1.7.1. Phases of Data Cleansing 
1.7.2. Data Quality 
1.7.3. Data Manipulation (with R) 

1.8. Data Analysis, Interpretation and Evaluation of Results

1.8.1. Statistical Measures 
1.8.2. Relationship Indices 
1.8.3. Data Mining 

1.9. Data Warehouse 

1.9.1. Components 
1.9.2. Design 

1.10. Data Availability

1.10.1. Access 
1.10.2. Uses 
1.10.3. Security/safety

Module 2. IoT Devices and Platforms as the Basis for Data Science

2.1. Internet of Things

2.1.1. Internet of the Future, Internet of Things 
2.1.2. The Industrial Internet Consortium

2.2. Architecture of Reference

2.2.1. The Architecture of Reference 
2.2.2. Layers 
2.2.3. Components

2.3. Sensors and IoT Devices

2.3.1. Principal Components 
2.3.2. Sensors and Actuators

2.4. Communications and Protocols 

2.4.1. Protocols. Osi Model 
2.4.2. Communication Technologies

2.5. Cloud Platforms for IoT and IIoT 

2.5.1. General Purpose Platforms 
2.5.2. Industrial Platforms 
2.5.3. Open Code Platforms

2.6. Data Management on IoT Platforms

2.6.1. Data Management Mechanisms. Open Data 
2.6.2. Data Exchange and Visualization

2.7. IoT Security

2.7.1. Requirements and Security Areas 
2.7.2. Security Strategies in IIoT

2.8. Applications of IoT

2.8.1. Intelligent Cities 
2.8.2. Health and Fitness 
2.8.3. Smart Home 
2.8.4. Other Applications

2.9. Applications of IIoT

2.9.1. Fabrication 
2.9.2. Transport 
2.9.3. Energy 
2.9.4. Agriculture and Livestock 
2.9.5. Other Sectors

2.10. Industry 4.0 

2.10.1. IoRT (Internet of Robotics Things) 
2.10.2. 3D Additive Manufacturing 
2.10.3. Big Data Analytics

Module 3. Architecture and Systems for Intensive Use of Data 

3.1. Non-Functional Requirements: Pillars of Big Data Applications

3.1.1. Reliability 
3.1.2. Adaptation 
3.1.3. Maintainability

3.2. Data Models

3.2.1. Relational Model 
3.2.2. Document Model 
3.2.3. Graph Type Data Model

3.3. Databases. Storage Management and Data Recovery

3.3.1. Hash Indexes  
3.3.2. Log Structured Storage 
3.3.3. Trees B

3.4. Data Coding Formats

3.4.1. Language-Specific Formats 
3.4.2. Standardized Formats 
3.4.3. Binary Coding Formats 
3.4.4. Data Stream Between Processes

3.5. Replication

3.5.1. Objectives of Replication 
3.5.2. Replication Models 
3.5.3. Problems with Replication

3.6. Distributed Transactions

3.6.1. Transaction 
3.6.2. Protocols for Distributed Transactions 
3.6.3. Serializable Transactions

3.7. Partitions

3.7.1. Forms of Partitioning 
3.7.2. Secondary Index Interaction and Partitioning 
3.7.3. Partition Rebalancing

3.8. Offline Data Processing

3.8.1. Batch Processing 
3.8.2. Distributed File Systems 
3.8.3. MapReduce

3.9. Data Processing in Real Time

3.9.1. Types of Message Broker 
3.9.2. Representation of Databases as Data Streams 
3.9.3. Data Stream Processing

3.10. Practical Applications in Business

3.10.1. Consistency in Readings 
3.10.2. Holistic Focus of Data 
3.10.3. Scaling of a Distributed Service

This program will become an immersive business experience thanks to its case studies presented by experts”