The figure of the upright, inflexible and authoritarian manager has become obsolete. A new profile has emerged, one that is much more in line with new trends and stands out for being technologically savvy, practising active listening and being self critical of their work"

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 Market Research is a specific program for those professionals who work in the management of commercial campaigns. To this end, over a period of 6 months, they will study a first class academic course in all areas related to this field of action, which will allow them to improve their skills in a short period of time and achieve the level of competence that are so in demand in today's companies. 

Knowing the market will allow you to target your commercial strategies to an audience truly interested in your product"

Syllabus

This curriculum has been designed with a clear purpose in mind: to offer students the best training of the moment that will enable them to carry out in depth analysis of the markets and the strategies of their companies to carry them towards the highest levels of success.  

For this purpose, a highly acadmeic program is offered, in which you can find all the relevant information about this area of action, from Market Analysis itself, to Big Data or Customer Relationship Management. Thus, through a multitude of theoretical content and practical exercises, the student can get a real idea of the work in the sector.  

A highly intensive program that is offered in a 100% online format, which will undoubtedly provide the great advantage of being able to study it from anywhere in the world, at the time that best suits each person and being able to combine it with the rest of their daily commitments. A program that understands the needs of students, but, above all, that aims to meet the current demands of academic quality demanded by society. And, for this, it has the most prestigious teaching team in the sector and fully up to date content covering the main developments in the field. 

This Postgraduate diploma takes place over 6 months and is divided into 4 modules: 

Module 1. Management
Module 2. Customer Relationship Management
Module 3. Data Science and Big Data
Module 4. Web Analytics and Marketing Analytics

Where, When and How is it Taught?

TECH offers the possibility of taking this program completely online. Throughout the 6 months of training, 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. Management 

1.1. Fundamentals of Marketing  

1.1.1. Main Definitions 
1.1.2. Basic Concepts 
1.1.3. The Evolution of the Concept of Marketing 

1.2. Marketing: From the Idea to the Market  

1.2.1. Concept and Scope of Marketing 
1.2.2. Marketing Dimensions 
1.2.3. Marketing 3.0 

1.3. New Competitive Environment  

1.3.1. Technological Innovation and Economic Impact 
1.3.2. Knowledge Society 
1.3.3. The New Consumer Profile  

1.4. Quantitative Research Methods and Techniques  

1.4.1. Variables and Measurement Scales 
1.4.2. Information Sources 
1.4.3. Sampling Techniques 
1.4.4. The Treatment and Analysis of Data 

1.5. Qualitative Research Methods and Techniques  

1.5.1. Direct Techniques: Focus Group 
1.5.2. Anthropological Techniques 
1.5.3. Indirect Techniques 
1.5.4. The Two Face Mirror and The Delphi Method 

1.6. Market Segmentation  

1.6.1. Market Typologies 
1.6.2. Concept and Analysis of the Demand 
1.6.3. Segmentation and Criteria 
1.6.4. Defining the Target Audience 

1.7. Types of Buying Behaviour  

1.7.1. Complex Behaviour 
1.7.2. Dissonance-Reducing Behaviour 
1.7.3. Variety-Seeking Behavior 
1.7.4. Habitual Behavior 

1.8. Marketing Information Systems  

1.8.1. Conceptual Approaches to Marketing Information Systems 
1.8.2. Data Warehouse and Datamining 
1.8.3. Geographical Information Systems 

1.9. Research Project Management  

1.9.1. Information Analysis Tools 
1.9.2. Developing an Expectation Management Plan 
1.9.3. Assessing the Feasibility of Projects 

1.10. Marketing Intelligence  

1.10.1. Big Data 
1.10.2. User Experience 
1.10.3. Applying Techniques

Module 2. Customer Relationship Management

2.1. Knowing the Market and the Consumer

2.1.1. Open Innovation
2.1.2. Competitive Intelligence.
2.1.3. Sharing Economy

2.2. CRM and Relational Marketing

2.2.1. Business Philosophy or Strategic Orientation
2.2.2. Customer Identification and Differentiation
2.2.3. The Company and its Stakeholders
2.2.4. Clienting Clienteling

2.3. Database Marketing and Customer Relationship Management

2.3.1. Database Marketing Applications
2.3.2. Laws and Regulations
2.3.3. Information Sources, Storage, and Processing

2.4. Consumer Psychology and Behavior

2.4.1. The Study of Consumer Behavior
2.4.2. Internal and External Consumer Factors
2.4.3. Consumer Decision Process
2.4.4. Consumerism, Society, Marketing, and Ethics

2.5. Areas of CRM Management

2.5.1. Customer Service.
2.5.2. Managing the Sales Force
2.5.3. Customer Service

2.6. Consumer Centric Marketing

2.6.1. Segmentation
2.6.2. Profitability Analysis
2.6.3. Customer Loyalty Strategies

2.7. CRM Management Techniques

2.7.1. Direct Marketing
2.7.2. Multichannel Integration
2.7.3. Viral Marketing

2.8. Advantages and Risks of Implementing CRM

2.8.1. CRM, Sales and Costs
2.8.2. Customer Satisfaction and Loyalty
2.8.3. Technology Implementation
2.8.4. Strategic and Management Errors

Module 3. Data Science and Big Data

3.1. Data Science and Big Data

3.1.1. Impact of Big Data and Data Science on Business Strategy
3.1.2. Introduction to Command Line
3.1.3. Data Science Problems and Solutions

3.2. Data Hacking Languages

3.2.1. SQL Databases
3.2.2. Introduction to Python
3.2.3. Programming in R

3.3. Statistics

3.3.1. Introduction to Statistics
3.3.2. Linear and Logistic Regression
3.3.3. PCA and Clustering

3.4. Machine Learning

3.4.1. Model Selection and Regularization
3.4.2. Random Trees and Forests
3.4.3. Processing Natural Language

3.5. Big Data

3.5.1. Hadoop
3.5.2. Spark
3.5.3. Collaborative Recommendation and Filtering Systems

3.6. Data Science Success Stories

3.6.1. Customer Segmentation Using the RFM Model
3.6.2. Experiment Design Application
3.6.3. Supply Chain Value: Forecasting
3.6.4. Business Intelligence

3.7. Hybrid Architectures in Big Data

3.7.1. Lambda Architecture
3.7.2. Kappa Architecture
3.7.3. Apache Flink and Practical Implementations
3.7.4. Amazon Web Services

3.8. Big Data in the Cloud

3.8.1. AWS: Kinesis
3.8.2. AWS: DynamosDB
3.8.3. Google Cloud Computing
3.8.4. Google BigQuery

Module 4. Web Analytics and Marketing Analytics

4.1. Web Analysis

4.1.1. The Fundamentals of Web Analytics
4.1.2. Classical Media vs. Digital Media
4.1.3. The Web Analyst's Basic Methodology

4.2. Google Analytics

4.2.1. Configuring an Account
4.2.2. Javascript Tracking API
4.2.3. Customized Reports and Segments

4.3. Qualitative Analyses

4.3.1. Research Techniques Applied in Web Analytics
4.3.2. Customer Journey
4.3.3. Purchase Funnel

4.4. Digital Metrics

4.4.1. Basic Metrics
4.4.2. Ratios
4.4.3. Setting Objectives and KPI

4.5. Acquisition and Marketing Analytics

4.5.1. ROI
4.5.2. ROAS
4.5.3. CLV

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