Analytics is becoming the backbone of any market strategy in the creation of IT products. By studying this Postgraduate diploma, you will become an essential asset for the best companies in the technology sector” 

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 IT Project Control Using Analytical Techniques has a 100% online teaching model, which gives students the freedom to adjust their studies to their particular needs and availability, without the requirement of attending a physical center or adhere to specific schedules. Thus, it is a unique possibility for anyone interested in boosting their career toward a better salary and professional expectations. 

IT project management is a highly responsible task that technology companies take very seriously. Learn all about analytics so these companies will be the ones interested in you”  

Syllabus

The Postgraduate diploma in IT Project Control Using Analytical Techniques at TECH Global University is an intensive program that prepares students for the critical and data-driven task management in a variety of IT projects of different types.   

The Postgraduate diploma in IT Project Control Using Analytical Techniques is structured in a clear and concise manner, with its content divided into various topics that are easy to access and search in case of any doubts. 

Over 450 teaching hours, students will learn the main data collection tools, as well as the technical differences between them to know which one to apply at any given moment. 

This Postgraduate diploma delves into the most innovative work methodologies in the field of data analysis, assessing the different facets and roles to be undertaken by an analyst in a multidisciplinary team. 

A curriculum that will help students focus their professional careers on the most responsible analytical management and control positions in the industry. The innovative content on the program, supported by the best educational methodology and an exceptional teaching staff, rounds off this comprehensive program. 

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

Module 1. IT Project Management and Control Using Business Intelligence   
Module 2. IT Project Strategic Monitoring and Control
Module 3. Digital Analytics for Decision-Making in Technology Projects

Where, when, and how it is taught

TECH offers students the possibility of doing this Postgraduate diploma in IT Project Control Using Analytical Techniques completely online. For six months, students will have access to all the program contents, which allows them to self-manage the study time. 

Module 1. IT Project Management and Control Using Business Intelligence

1.1. Business Intelligence

1.1.1. Business Intelligence 
1.1.2. Data Management 
1.1.3. Data Life Cycle 
1.1.4. Architecture 
1.1.5. Applications 

1.2. IT Project Management Using Analytical Techniques 

1.2.1. Business Intelligence Selection 
1.2.2. Benefits of Business Intelligence for Projects 
1.2.3. Examples and Applications 

1.3. Harvesting and Storage 

1.3.1. Business Models and Data Models 
1.3.2. Types of Storage 
1.3.3. Storing Big Data in the Cloud 

1.4. Massive Data and Information Processing 

1.4.1. Types of Data Processing 
1.4.2. Techniques to Simplify Massive Processing 
1.4.3. Cloud Processing 

1.5. Analytical Techniques 

1.5.1. Analytical Techniques 
1.5.2. Predictive Analyses 
1.5.3. Pattern Analysis and Recommendation 
1.5.4. Scalable Machine Learning 

1.6. Visualization for Decision Making 

1.6.1. Visualization and Data Analysis 
1.6.2. Tools 
1.6.3. Data Analysis Visualization 
1.6.4. Reports Design 

1.7. Business Information Consumption 

1.7.1. Control Panel 
1.7.2. KPI Design and Mining 
1.7.3. Geographic Information 

1.8. Security and Governance 

1.8.2. Security/Safety 
1.8.3. Governance 

1.9. Real Applications to IT Projects 

1.9.2. From Harvesting to Processing 
1.9.3. From Analysis to Visualization 

1.10. Project Management 

1.10.1. Project 
1.10.2. Requirements and Objectives 
1.10.3. Start-up and Implementation 

Module 2. IT Project Strategic Monitoring and Control

2.1. Data and Information in Decision Making and Project Management

2.1.1. Business Intelligence
2.1.2. Business Intelligence Concept Evolution 
2.1.3. Data Life Cycle 

2.2. Information Analysis Techniques 

2.2.1. Descriptive Analytics 
2.2.2. Prescriptive Analytics 
2.2.3. Predictive Analytics 
2.2.4. Pattern Analysis and Recommendation 
2.2.5. Benefits of IT Projects Analysis 

2.3. Types of Data 

2.3.1. Structured Data 
2.3.2. Semi-Structured Data 
2.3.3. Unstructured Data 

2.4. Storage and Management 

2.4.1. Data Lake, Data Warehouse and Data Mart 
2.4.2. Stages in Data Management: Extraction, Transformation and Loading 
2.4.3. ETL and ELT Paradigm 

2.5. Data Management for Project Implementation 

2.5.1. Data Use in Project Design 
2.5.2. Decision Making 
2.5.3. Benefits 

2.6. Business Intelligence Solutions: Power BI 

2.6.1. Ecosystem 
2.6.2. Potential Strengths and Weaknesses 

2.7. Business Intelligence Solutions: Tableau 

2.7.1. Ecosystem 
2.7.2. Strengths and Weaknesses 

2.8. Business Intelligence Solutions: Qlik 

2.8.1. Ecosystem 
2.8.2. Potential Strengths and Weaknesses 

2.9. Business Intelligence Solutions: Prometheus 

2.9.1. Ecosystem 
2.9.2. Potential Strengths and Weaknesses 

2.10. Future of Business Intelligence 

2.10.1. Cloud Applications 
2.10.2. Self-Consumption Business Intelligence 
2.10.3. Integration with Data Science: Value Creation

Module 3. Digital Analytics for Decision-Making in Technology Projects

3.1. Digital Analytics

3.1.1. Digital Analytics
3.1.2. Modus Operandi

3.2. Google Analytics: Analysis Tools 

3.2.1. Google Analytics 
3.2.2. Quantifying and Qualifying: Metrics and Dimensions 
3.2.3. Analysis Objectives 

3.3. Metrics 

3.3.1. Basic Metrics
3.3.2. KPI (Key Performance Indicators) or Advanced Metrics 
3.3.3. The Objective: Conversion 

3.4. Dimensions 

3.4.1. Campaign/Keyword 
3.4.2. Source/Media 
3.4.3. Contents 

3.5. Google Analytics 

3.5.1. Tool Set-up and Configuration 
3.5.2. Current Versions: UA/GA4 
3.5.3. Conversion Objectives: Conversion Funnels 

3.6. Google Analytics Structure: Work Areas 

3.6.1. Accounts 
3.6.2. Properties 
3.6.3. Views 

3.7. Google Analytics Reports 

3.7.1. In Real Time 
3.7.2. Audience 
3.7.3. Acquisition 
3.7.4. Behaviour 
3.7.5. Conversions 

3.8. Google Analytics Advanced Reports 

3.8.1. Personalised Reports 
3.8.2. Panels 
3.8.3. APIs 

3.9. Filtering 

3.9.1. Filtering and Segmentation: Usability 
3.9.2. Predefined Segments and Personalized Segments 
3.9.3. Remarketing Lists 

3.10. Digital Analytics Plan 

3.10.1. Measurement 
3.10.2. Implementation in the Technological Environment 
3.10.3. Conclusions

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