University certificate
The world's largest school of business”
Why study at TECH?
Managing technology projects requires a highly specialized and qualified professional who has outstanding management and leadership skills. With this Professional master’s degree, you will be able to lead the most ambitious and attractive projects in your field”
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.
Economy of Scale |
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”
Syllabus
The Professional master’s degree MBA in Advanced Technology Project Management is a program that adapts to the needs of its students, and since it is 100% online, they can choose to study when it suits their availability and particular interests. This is a great opportunity to catapult anyone's career to managerial positions in the technology field.
TECH guarantees you access to the best syllabus available in MBA in Advanced Technology Project Management so you can apply for the highest management positions in the sector”
Syllabus
The Professional master’s degree MBA in Advanced Technology Project Management offered by TECH Global University is a comprehensive program that trains students for decision making and effective leadership of multidisciplinary teams, emphasizing the importance of the technical knowledge required in the technology field.
The content of the Professional master’s degree MBA in Advanced Technology Project Management contains the most advanced methodology and techniques used in business leadership, always focused on technology project management.
During the 2,700 hours that make up the program, students will study a multitude of real, practical cases, making the educational experience more immersive in real business situations.
This Professional master’s degree explores the new perspective of the leader as a figure of trust, moving away from the traditional authoritarian perspective by addressing issues such as work team emotional intelligence or non-verbal communication that seeks to improve relations within the company itself.
A syllabus that prepares students for the most ambitious management positions in the technology industry, helping them to achieve excellence in leadership and business management.
The 15 modules that make up this Professional master’s degree, taught over 12 months, are as follows:
Module 1. Agile technology project direction and management
Module 2. Requirements Management and Process Analysis in Software Development Projects
Module 3. Business Management: Technologies for Resource and Customer Management
Module 4. IT Project Management and Control Using Business Intelligence
Module 5. IT Project Strategic Monitoring and Control
Module 6. Digital Analytics for Decision-Making in Technology Projects
Module 7. Improving IT Projects and Businesses Using Analytical Techniques
Module 8. Quality in Software Project Management and Implementation
Module 9. Regulatory Compliance for Information Security in Technology Projects
Module 10. Team Management in IT Projects
Module 11. Leadership, Ethics and Social Responsibility in Companies
Module 12. People and Talent Management
Module 13. Economic and Financial Management
Module 14. Commercial Management and Strategic Marketing
Module 15. Executive Management
Where, When and How is it Taught?
TECH offers the possibility of developing this Professional master’s degree in MBA in Advanced Technology Project Management 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. Using Agile in Technology Project Direction and Management
1.1. Project Management
1.1.1. Project Management
1.1.2. Phases of a Project
1.2. Project Direction According to the Project Management Institute
1.2.1. PMI and PMBOK
1.2.2. Project, Program and Project Portfolio
1.2.3. Evolution and Process Assets at Organizations That Work with Projects
1.3. Process Management according to the Process Management Institute
1.3.1. Process Groups and Knowledge Areas
1.3.2. Process Matrix
1.4. Agile Methodologies for Project Management
1.4.1. Application Motivation
1.4.2. Agile Values and Principles in the Agile Manifesto
1.4.3. Application Scenarios
1.5. Scrum for Agile Project Management: Framework Description
1.5.1. Agile Management Framework
1.5.2. Scrum Pillars and Values
1.6. Scrum for Agile Project Management: Implementing Models
1.6.1. Framework Implementation
1.6.2. People, Roles and Responsibilities on Scrum
1.6.3. Sprint Planning, Daily Scrum, Sprint Review, Sprint Retrospective and Sprint Refinement
1.7. Scrum for Agile Project Management
1.7.1. Product Backlog, Sprint Backlog and Incremental Backlog
1.7.2. Scrum Team Agreements
1.7.3. Performance Assessment
1.8. KANBAN for Agile Project Management
1.8.1. The Model
1.8.2. Kanban Method, Elements and Benefits
1.8.3. Typical Usage Scenarios
1.9. KANBAN for Agile Project Management: Implementing Models
1.9.1. Fundame
1.9.2. Application
1.9.3. Performance Assessment
1.10. Project Direction Model Selection
1.10.1. Criteria for Selecting a Management Model Type
1.10.2. Traditional Methods vs. Agile Methods
Module 2. Requirements Management and Process Analysis in Software Development Projects
2.1. Systems Analysis
2.1.1. Systems Analyst Functions
2.1.2. Software Development Cycle: SDLC and OO Agile
2.1.3. SDLC, OO and Agile
2.2. Importance of Systems Analysis and Design
2.2.1. Information Systems
2.2.2. Integrating IT Technologies: HW and Software
2.2.3. Methodology Selection
2.3. Software Development Life Cycle
2.3.1. Campaigns and Types
2.3.2. Redemption and Drive
2.3.3. Types of Strategies
2.3.4. Digital Marketing Plan
2.4. Systems Model and Design: Integration
2.4.1. Dependencies with Other Operating Systems in the Organization
2.4.2. Integration Using Project Management Methodologies such as PMBOK
2.4.3. Integration with Agile Methodologies
2.5. Requirements
2.5.1. Interactive Methods: Interviews, JAD and Questionnaires
2.5.2. Non-Interactive Methods: Observation and Revision Documents
2.5.3. Sampling Techniques: Sampling
2.6. Processes Analysis: DFDs
2.6.1. Multilevel DFD Development
2.6.2. Types of DFDs: Physical and Logical, Based on Events
2.6.3. Partitioning DFDs
2.7. Processes Analysis: Data Dictionary
2.7.1. Creating Data Dictionaries Based on Previous DAFD
2.7.2. Data Dictionary Nomenclature
2.7.3. XML Creation for Data Exchange with Other Systems
2.8. Processes Analysis: Processes Specifications
2.8.1. Structured and Semi-structured Decisions
2.8.2. If-The-Else
2.8.3. Decision Tables and Trees
2.9. Importance of Design
2.9.1. Output Design
2.9.2. Input Design
2.9.3. Validating Design
2.10. Database Design
2.10.1. Normalization of Data
2.10.2. E-R Diagrams: One-to-Many and Many-to-Many Relationships
2.10.3. Destandardization
Module 3. Business Management: Technologies for Resource and Customer Management
3.1. Enterprise Information Management and Storage Systems
3.1.1. Enterprise Resource Planning
3.1.2. Customer Relationship Management
3.1.3. Enterprise Resource Planning vs. Customer Relationship Management
3.1.4. Enterprise Resource Planning and Customer Relationship Management in Business
3.2. Enterprise Resource Planning
3.2.1. Benefits of Enterprise Resource Planning in Companies
3.2.2. Implantation and Management
3.2.3. Enterprise Resource Planning Day-to-day
3.3. Enterprise Resource Planning and Management
3.3.1. ERP Modules
3.3.2. Enterprise Resource Planning System Types
3.3.3. Tools Available on the Market
3.4. Customer Relationship Management
3.4.1. Implementing Customer Relationship Management in Companies
3.4.2. Information System Design
3.4.3. Customer Relationship Management for Processes Implementation
3.5.Customer Relationship Management for Project Design
3.5.1. Current Situation
3.5.2. Sales or Loyalty
3.5.3. Customer Loyalty Profitability
3.6. Customer Relationship Management. Working with Information
3.6.1. Project Marketing and Management
3.6.2. Success Factors
3.6.3. Strategies
3.7. Customer Relationship Management. Communication Tools
3.7.1. Communication
3.7.2. The Information
3.7.3. Active Listening
3.7.4. Investment Strategies in Information Systems
3.8. Customer Relationship Management. Dissatisfied Customer Recovery
3.8.1. Detecting Errors in Time
3.8.2. Correcting and Remedying Errors
3.8.3. Customer Recovery and Continuous Improvement Process Design
3.9. IT Projects
3.9.1. Objectives
3.9.2. Enterprise Resource Planning and Customer Relationship Management for Customer Acquisition
3.9.3. Projects Design
3.9.4. Assessing and Recording Results
3.10. Computer Project Development
3.10.1. Frequent Errors
3.10.2. Methodology
3.10.3. Segmentation and Processes
3.10.4. Training
3.10.5. Actions Design Applied to Customer Relationship Management and Enterprise Resource Planning
Module 4. IT Project Management and Control Using Business Intelligence
4.1. Business Intelligence
4.1.1. Business Intelligence
4.1.2. Data Management
4.1.3. Data Life Cycle
4.1.4. Architecture
4.1.5. Applications
4.2. IT Project Management Using Analytical Techniques
4.2.1. Business Intelligence Selection
4.2.2. Advantages of Using Business Intelligence in Projects
4.2.3. Examples and Applications
4.3. Harvesting and Storage
4.3.1. Business Models and Data Models
4.3.2. Types of Storage
4.3.3. Storing Big Data in the Cloud
4.4. Massive Data and Information Processing
4.4.1. Types of Data Processing
4.4.2. Techniques to Simplify Massive Processing
4.4.3. Cloud Processing
4.5. Analytical Techniques
4.5.1. Analytical Techniques
4.5.2. Predictive Analyses
4.5.3. Pattern Analysis and Recommendation
4.5.4. Scalable Machine Learning
4.6. Visualization for Decision Making
4.6.1. Visualization and Data Analysis
4.6.2. Tools
4.6.3. Data Analysis Visualization
4.6.4. Reports Design
4.7. Business Information Consumption
4.7.1. Control Panel
4.7.2. KPI Design and Mining
4.7.3. Geographic Information
4.8. Security and Governance
4.8.1. Security/Safety
4.8.2. Governance
4.9. Real Applications to IT Projects
4.9.1. From Harvesting to Processing
4.9.2. From Analysis to Visualization
4.10. Project Management
4.10.1. Project
4.10.2. Requirements and Objectives
4.10.3. Start-up and Implementation
Module 5. IT Project Strategic Monitoring and Control
5.1. Data and Information in Decision Making and Project Management
5.1.1. Business Intelligence
5.1.2. Business Intelligence Concept Evolution
5.1.3. Data Life Cycle
5.2. Information Analysis Techniques
5.2.1. Descriptive Analytics
5.2.2. Prescriptive Analytics
5.2.3. Predictive Analytics
5.2.4. Pattern Analysis and Recommendation
5.2.5. Benefits of IT Projects Analysis
5.3. Types of Data
5.3.1. Structured Data
5.3.2. Semi-Structured Data
5.3.3. Unstructured Data
5.4. Storage and Management
5.4.1. Data Lake, Data Warehouse and Data Mart
5.4.2. Stages in Data Management: Extraction, Transformation and Loading
5.4.3. ETL and ELT Paradigm
5.5. Data Management for Project Implementation
5.5.1. Data Use in Project Design
5.5.2. Decision Making
5.5.3. Benefits
5.6. Business Intelligence Solutions: Power BI
5.6.1. Ecosystem
5.6.2. Potential Strengths and Weaknesses
5.7. Business Intelligence Solutions: Tableau
5.7.1. Ecosystem
5.7.2. Strengths and Weaknesses
5.8. Business Intelligence Solutions: Qlik
5.8.1. Ecosystem
5.8.2. Potential Strengths and Weaknesses
5.9. Business Intelligence Solutions: Prometheus
5.9.1. Ecosystem
5.9.2. Potential Strengths and Weaknesses
5.10. Future of Business Intelligence
5.10.1. Cloud Applications
5.10.2. Self-consumption Business Intelligence
5.10.3. Integration with Data Science. Value Creation
Module 6. Digital Analytics for Decision-Making in Technology Projects
6.1. Digital Analytics
6.1.1. Digital Analytics
6.1.2. Modus Operandi
6.2. Google Analytics: Analysis Tools
6.2.1. Google Analytics
6.2.2. Quantifying and Qualifying: Metrics and Dimensions
6.2.3. Analysis Objectives
6.3. Metrics
6.3.1. Basic Metrics
6.3.2. KPI (Key Performance Indicators) or Advanced Metrics
6.3.3. The Objective: Conversion
6.4. Dimensions
6.4.1. Campaign/Keyword
6.4.2. Source/Media
6.4.3. Content
6.5. Google Analytics
6.5.1. Tool Set-up and Configuration
6.5.2. Current Versions: UA/GA4
6.5.3. Conversion Objectives: Conversion Funnels
6.6. Google Analytics Structure: Work Areas
6.6.1. Accounts
6.6.2. Properties
6.6.3. Views
6.7. Google Analytics Reports
6.7.1. In Real Time
6.7.2. Audience
6.7.3. Acquisition
6.7.4. Behavior
6.7.5. Conversions
6.8. Google Analytics Advanced Reports
6.8.1. Personalized Reports
6.8.2. Panels
6.8.3. APIs
6.9. Filtering
6.9.1. Filtering and Segmentation: Usability
6.9.2. Predefined Segments and Personalized Segments
6.9.3. Remarketing Lists
6.10. Digital Analytics Plan
6.10.1. Measurement
6.10.2. Implementation in the Technological Environment
6.10.3. Conclusions
Module 7. Improving IT Projects and Businesses Using Analytical Techniques
7.1. Company Data Analytics
7.1.1. Company Data Analytics
7.1.2. Value
7.1.3. Project Management According to Value
7.2. Digital Marketing
7.2.1. Digital Marketing
7.2.2. Benefits of Digital Marketing
7.3. Digital Marketing: Preparation
7.3.1. Campaigns
7.3.2. Implementation and Measurement
7.3.3. Digital Strategy Variants
7.3.4. Planning
7.4. Digital Marketing: Implementation
7.4.1. Applications
7.4.2. Integration in Web Environments
7.5. Life Cycle
7.5.1. Customer Journey vs. Campaigns
7.5.2. Measurement
7.6. Data Management
7.6.1. Datawarehouse and Datalab
7.6.2. Applications for the Generation of Campaign Bases
7.6.3. Drive Options
7.7. Campaign Exclusions
7.7.1. Types
7.7.2. GDPR and Robinson
7.7.3. Data Anonymization
7.8. Control Panels
7.8.1. Audience
7.8.2. Storytelling
7.8.3. Applications
7.9. Value Conclusions in Data Analytics
7.9.1. Customer Global Vision
7.9.2. Analysis Strategy and Types
7.9.3. Applications
7.10. Application in Business Scenarios
7.10.1. Wallet Clustering
7.10.2. Predictive Risk Models
7.10.3. Wallet Customers Characterization
7.10.4. Image Processing
7.10.5. Bid Proposal Forms
Module 8. Quality in Software Project Management and Implementation
8.1. Software Quality
8.1.1. Methodologies and Standards
8.1.2. Software Quality Reports: Standish Group CHAOS Report
8.1.3. Software Quality Certifications: ISO and AENOR
8.2. Secure Codification
8.2.1. Coding: Reasons and Types of Codes
8.2.2. Codification Rules
8.3. Data Quality Via Input Validation
8.3.1. Efficient Data Capture
8.3.2. Data-Entry Models: OCR, Keyboard, RFID, etc.
8.3.3. Data Validation Tests
8.4. Total Quality Management: Six Sigma
8.4.1. TQM
8.4.2. Six Sigma: Methodology and Culture
8.4.3. Top-Down Design Systems and Modular Programming
8.4.4. Documentation: FOLKLORE Documentation Method
8.5. Tests, Maintenance and Audits
8.5.1. Test Processes
8.5.2. Using Test Data
8.5.3. Audits and External Audits
8.6. Quality of Network Implemented Products
8.6.1. Client-Server Technology
8.6.2. Cloud Computing Technology
8.7. User Training
8.7.1. User Training Strategies
8.7.2. Training Guides
8.8. Conversion/Migration to New Systems Strategies
8.8.1. Migration Strategies: Parallel and Gradual
8.8.2. Migration/Conversion Plans
8.8.3. Data Owners Management
8.9. Security/Safety
8.9.1. Physical and Logical Security: Document Destruction
8.9.2. E-Commerce
8.9.3. Disaster-Recovery Plans
8.10. Assessment
8.10.1. Quality Assessment Techniques
8.10.2. Evaluation in Web Environments
Module 9. Regulatory Compliance for Information Security in Technology Projects
9.1. Data Protection Regulation
9.1.1. Regulatory Framework
9.1.2. Subjects Obliged to Comply with the Regulations
9.1.2.1. Controllers, Joint Controllers and Processors
9.1.3. Data Protection Officer
9.2. Treatment of Personal Data
9.2.1. Fairness, Loyalty and Transparency
9.2.2. Purpose Limitation
9.2.3. Data Minimization, Accuracy and Limitation of Retention Period
9.2.4. Integrity and Confidentiality
9.2.5. Proactive Responsibility
9.3. Data Protection by Design and by Default
9.3.1. Data Pseudonymization
9.3.2. Data Minimization
9.3.3. Organizational Measures in Accordance with the Purpose of Processing
9.4. Bases of Lawfulness or Legitimacy and Authorizations for Processing:Data Communication
9.4.1. Consent
9.4.2. Contractual Relationship or Pre-contractual Measures
9.4.3. Fulfillment of a Legal Obligation
9.4.4. Protection of Vital Interests of the Data Subject or Another Person
9.4.5. Public Interest or Exercise of Public Powers
9.4.6. Legitimate Interest: Weighing of interests
9.5. Individuals Rights
9.5.1. Transparency and Information
9.5.2. Access
9.5.3. Rectification and Deletion (Right to be Forgotten), Limitation and Portability
9.5.4. Opposition and Automated Individual Decisions
9.5.5. Limits to Rights
9.6. Risk Analysis and Management of Personal Data Processing
9.6.1. Identification of Risks and Threats to the Rights and Freedoms of Individuals
9.6.2. Risk Assessment
9.6.3. Risk Management Plans
9.7. Techniques to Ensure Data Protection Regulations Compliance
9.7.1. Identification of Proactive Accountability Measures
9.7.2. Processing Activities Register
9.7.3. Security Breach Management
9.7.4. Codes of Conduct and Certifications
9.8. Data Protection Impact Assessment (DPIA)
9.8.1. EIPD Needs Assessment
9.8.2. Evaluation Methodology
9.8.3. Identification of Risks and Threats
9.8.4. Prior Consultation with the Supervisory Authority
9.9. Information Security
9.9.1. Security Regulatory Framework
9.9.2. ICT Security Products Assessment and Certification
9.9.3. STIC Products and Services Catalog (CPSTIC)
9.10. Control Authorities. Violations and Penalties
9.10.1. Violations
9.10.2. Fines
9.10.3. Penalty Procedure
9.10.4. Control Authorities and Cooperation Mechanisms
Module 10. Team Management in IT Projects
10.1. Team Management
10.1.1. Management Skills
10.1.2. Human Capital Management and Managerial Functions
10.1.3. Classification and Types of Management Skills
10.1.4. Group Leadership Management in Companies
10.2. Team Building
10.2.1. Team Management
10.2.2. Performance Evaluation
10.2.3. Delegation and Empowerment
10.2.4. Commitment Management
10.3. Work Teams
10.3.1. Culture: Mission, Vision, Values
10.3.2. Planning and Strategy
10.3.3. Organization and Monitoring
10.3.4. Feedback and Feedforward
10.3.5. Results Assessment
10.4. Stages in Team Training
10.4.1. Dependence Stage
10.4.2. Counter-Dependence Stage
10.4.3. Independence Stage
10.4.4. Interdependence Stage
10.5. IT Project Organization
10.5.1. Company Planning
10.5.2. Time Planning
10.5.3. Resource Planning
10.5.4. Costs Planning
10.6. Talent Management in Companies
10.6.1. Talent
10.6.2. Talent Management
10.6.3. Talent Dimensions
10.6.4. Attracting Talent
10.7. Company Communication
10.7.1. The Company's Communication Process
10.7.1.1. Internal Relationships and Communication in Companies
10.7.1.2. Relation between Company Organization and Communication: Centralization or Decentralization
10.7.1.3. Internal and External Communication Tools
10.7.2. Interpersonal Relations in the Company
10.7.2.1. Interpersonal Communication and Conflicts
10.7.2.2. Communication Filters and Barriers
10.7.2.3. Criticism and Active Listening
10.7.2.4. Active Listening Techniques
10.8. Negotiation Techniques in Companies
10.8.1. Negotiation at the Managerial Level in Technology Companies
10.8.1.1. Negotiation
10.8.1.2. Styles of Negotiation
10.8.1.3. Negotiation Phases
10.8.2. Negotiation Techniques
10.8.2.1. Negotiation Strategies and Tactics
10.8.2.2. Negotiation Types
10.8.3. The Figure of the Negotiator
10.8.3.1. Negotiator Characteristics
10.8.3.2. Types of Negotiators
10.8.3.3. Psychology in Negotiation
10.9. Coaching and Business Management
10.9.1. Business Coaching
10.9.2. The Practice of Coaching
10.9.3. Coaching in Organizations
10.10. Mentoring and Business Management
10.10.1. Mentoring
10.10.2. The 4 Processes of a Mentoring Program
10.10.2.1. Processes
10.10.2.2. Mentors in Companies
10.10.2.3. Protégés in Technological Companies
10.10.3. Benefits of Mentoring in Companies
10.10.3.1. Benefits to the Organization: Mentor and Mentee
10.10.4. Differences between Mentoring and Coaching
Module 9. Regulatory Compliance for Information Security in Technology Projects
9.1. Data Protection Regulation
9.1.1. Regulatory Framework
9.1.2. Subjects Obliged to Comply with the Regulations
9.1.2.1. Controllers, Joint Controllers and Processors
9.1.3. Data Protection Officer
9.2. Treatment of Personal Data
9.2.1. Fairness, Loyalty and Transparency
9.2.2. Purpose Limitation
9.2.3. Data Minimization, Accuracy and Limitation of Retention Period
9.2.4. Integrity and Confidentiality
9.2.5. Proactive Responsibility
9.3. Data Protection by Design and by Default
9.3.1. Data Pseudonymization
9.3.2. Data Minimization
9.3.3. Organizational Measures in Accordance with the Purpose of Processing
9.4. Bases of Lawfulness or Legitimacy and Authorizations for Processing:Data Communication
9.4.1. Consent
9.4.2. Contractual Relationship or Pre-contractual Measures
9.4.3. Fulfillment of a Legal Obligation
9.4.4. Protection of Vital Interests of the Data Subject or Another Person
9.4.5. Public Interest or Exercise of Public Powers
9.4.6. Legitimate Interest: Weighing of Interests
9.5. Individuals Rights
9.5.1. Transparency and Information
9.5.2. Access
9.5.3. Rectification and Deletion (Right to be Forgotten), Limitation and Portability
9.5.4. Opposition and Automated Individual Decisions
9.5.5. Limits to Rights
9.6. Risk Analysis and Management of Personal Data Processing
9.6.1. Identification of Risks and Threats to the Rights and Freedoms of Individuals
9.6.2. Risk Assessment
9.6.3. Risk Management Plans
9.7. Techniques to Ensure Data Protection Regulations Compliance
9.7.1. Identification of Proactive Accountability Measures
9.7.2. Processing Activities Register
9.7.3. Security Breach Management
9.7.4. Codes of Conduct and Certifications
9.8. Data Protection Impact Assessment (DPIA)
9.8.1. EIPD Needs Assessment
9.8.2. Evaluation Methodology
9.8.3. Identification of Risks and Threats
9.8.4. Prior Consultation with the Supervisory Authority
9.9. Information Security
9.9.1. Security Regulatory Framework
9.9.2. ICT Security Products Assessment and Certification
9.9.3. STIC Products and Services Catalog (CPSTIC)
9.10. Control Authorities. Violations and Penalties
9.10.1. Violations
9.10.2. Fines
9.10.3. Penalty Procedure
9.10.4. Control Authorities and Cooperation Mechanisms
Module 10. Team Management in IT Projects
10.1. Team Management
10.1.1. Management Skills
10.1.2. Human Capital Management and Managerial Functions
10.1.3. Classification and Types of Management Skills
10.1.4. Group Leadership Management in Companies
10.2. Team Building
10.2.1. Team Management
10.2.2. Performance Evaluation
10.2.3. Delegation and Empowerment
10.2.4. Commitment Management
10.3. Work Teams
10.3.1. Culture: Mission, Vision, Values
10.3.2. Planning and Strategy
10.3.3. Organization and Monitoring
10.3.4. Feedback and Feedforward
10.3.5. Results Assessment
10.4. Stages in Team Training
10.4.1. Dependence Stage
10.4.2. Counter-Dependence Stage
10.4.3. Independence Stage
10.4.4. Interdependence Stage
10.5. IT Project Organization
10.5.1. Company Planning
10.5.2. Time Planning
10.5.3. Resource Planning
10.5.4. Costs Planning
10.6. Talent Management in Companies
10.6.1. Talent
10.6.2. Talent Management
10.6.3. Talent Dimensions
10.6.4. Attracting Talent
10.7. Company Communication
10.7.1. The Company's Communication Process
10.7.1.1. Internal Relationships and Communication in Companies
10.7.1.2. Relation between Company Organization and Communication: Centralization or Decentralization
10.7.1.3. Internal and External Communication Tools
10.7.2. Interpersonal Relations in the Company
10.7.2.1. Interpersonal Communication and Conflicts
10.7.2.2. Communication Filters and Barriers
10.7.2.3. Criticism and Active Listening
10.7.2.4. Active Listening Techniques
10.8. Negotiation Techniques in Companies
10.8.1. Negotiation at the Managerial Level in Technology Companies
10.8.1.1. Negotiation
10.8.1.2. Styles of Negotiation
10.8.1.3. Negotiation Phases
10.8.2. Negotiation Techniques
10.8.2.1. Negotiation Strategies and Tactics
10.8.2.2. Negotiation Types
10.8.3. The Figure of the Negotiating Subject
10.8.3.1. Negotiator Characteristics
10.8.3.2. Types of Negotiators
10.8.3.3. Psychology in Negotiation
10.9. Coaching and Business Management
10.9.1. Business Coaching
10.9.2. The Practice of Coaching
10.9.3. Coaching in Organizations
10.10. Mentoring and Business Management
10.10.1. Mentoring
10.10.2. The 4 Processes of a Mentoring Program
10.10.2.1. Processes
10.10.2.2. Mentors in Companies
10.10.2.3. Protégés in Technological Companies
10.10.3. Benefits of Mentoring in Companies
10.10.3.1. Benefits to the Organization: Mentor and Mentee
10.10.4. Differences between Mentoring and Coaching
Module 11. Leadership, Ethics and Social Responsibility in Companies
11.1. Globalization and Governance
11.1.1. Governance and Corporate Governance
11.1.2. The Fundamentals of Corporate Governance in Companies
11.1.3. The Role of the Board of Directors in the Corporate Governance Framework
11.2. Leadership
11.2.1. Leadership. A Conceptual Approach
11.2.2. Leadership in Companies
11.2.3. The Importance of Leaders in Business Management
11.3. Cross-Cultural Management
11.3.1. Concept of Cross-Cultural Management
11.3.2. Contributions to the Knowledge of National Cultures
11.3.3. Diversity Management
11.4. Management and Leadership Development
11.4.1. Concept of Management Development
11.4.2. Concept of Leadership
11.4.3. Leadership Theories
11.4.4. Leadership Styles
11.4.5. Intelligence in Leadership
11.4.6. The Challenges of Today's Leader
11.5. Business Ethics
11.5.1. Ethics and Morality
11.5.2. Business Ethics
11.5.3. Leadership and Ethics in Companies
11.6. Sustainability
11.6.1. Sustainability and Sustainable Development
11.6.2. The 2030 Agenda
11.6.3. Sustainable Companies
11.7. Corporate Social Responsibility
11.7.1. International Dimensions of Corporate Social Responsibility
11.7.2. Implementing Corporate Social Responsibility
11.7.3. The Impact and Measurement of Corporate Social Responsibility
11.8. Responsible Management Systems and Tools
11.8.1. CSR: Corporate Social Responsibility
11.8.2. Essential Aspects for Implementing a Responsible Management Strategy
11.8.3. Steps for the Implementation of a Corporate Social Responsibility Management System
11.8.4. Tools and Standards of CSR
11.9. Multinationals and Human Rights
11.9.1. Globalization, Multinational Corporations and Human Rights
11.9.2. Multinational Corporations and International Law
11.9.3. Legal Instruments for Multinationals in the Field of Human Rights
11.10. Legal Environment and Corporate Governance
11.10.1. International Rules on Importation and Exportation
11.10.2. Intellectual and Industrial Property
11.10.3. International Labor Law
Module 12. People and Talent Management
12.1. Strategic People Management
12.1.1. Strategic Human Resources Management
12.1.2. Strategic People Management
12.2. Human Resources Management by Competencies
12.2.1. Analysis of the Potential
12.2.2. Remuneration Policy
12.2.3. Career/Succession Planning
12.3. Performance Evaluation and Compliance Management
12.3.1. Performance Management
12.3.2. Performance Management: Objectives and Process
12.4. Innovation in Talent and People Management
12.4.1. Strategic Talent Management Models
12.4.2. Identification, Training and Development of Talent
12.4.3. Loyalty and Retention
12.4.4. Proactivity and Innovation
12.5. Motivation
12.5.1. The Nature of Motivation
12.5.2. Expectations Theory
12.5.3. Needs Theory
12.5.4. Motivation and Financial Compensation
12.6. Developing High Performance Teams
12.6.1. High-Performance Teams: Self-Managing Teams
12.6.2. Methodologies for Managing High Performance Self-Managed Teams
12.7. Change Management
12.7.1. Change Management
12.7.2. Types of Change Management Processes
12.7.3. Stages or Phases in Change Management
12.8. Negotiation and Conflict Management
12.8.1. Negotiation
12.8.2 Conflict Management
12.8.3. Crisis Management
12.9. Executive Communication
12.9.1. Internal and External Communication in the Business Environment
12.9.2. Communication Departments
12.9.3. The Head of Communication of the Company. The Profile of the Dircom
12.10. Productivity, Attraction, Retention and Activation of Talent
12.10.1. Productivity
12.10.2. Talent Attraction and Retention Levers
Module 13. Economic and Financial Management
13.1. Economic Environment
13.1.1. Macroeconomic Environment and the National Financial System
13.1.2. Financial Institutions
13.1.3. Financial Markets
13.1.4. Financial Assets
13.1.5. Other Financial Sector Entities
13.2. Executive Accounting
13.2.1. Basic Concepts
13.2.2. The Company's Assets
13.2.3. The Company's Liabilities
13.2.4. The Company's Net Worth
13.2.5. The Income Statement
13.3. Information Systems and Business Intelligence
13.3.1. Fundamentals and Classification
13.3.2. Cost Allocation Phases and Methods
13.3.3. Choice of Cost Center and Impact
13.4. Budget and Management Control
13.4.1. The Budgetary Model
13.4.2. The Capital Budget
13.4.3. The Operating Budget
13.4.5. The Cash Budget
13.4.6. Budget Monitoring
13.5. Financial Management
13.5.1. The Company's Financial Decisions
13.5.2. The Financial Department
13.5.3. Cash Surpluses
13.5.4. Risks Associated with Financial Management
13.5.5. Risk Management of the Financial Management
13.6. Financial Planning
13.6.1. Definition of Financial Planning
13.6.2. Actions to Be Taken in Financial Planning
13.6.3. Creation and Establishment of the Business Strategy
13.6.4. The Cash Flow Chart
13.6.5. The Working Capital Chart
13.7. Corporate Financial Strategy
13.7.1. Corporate Strategy and Sources of Financing
13.7.2. Corporate Financing Financial Products
13.8. Strategic Financing
13.8.1. Self-financing
13.8.2. Increase in Shareholder's Equity
13.8.3. Hybrid Resources
13.8.4. Financing through Intermediaries
13.9. Financial Analysis and Planning
13.9.1. Analysis of the Balance Sheet
13.9.2. Analysis of the Income Statement
13.9.3. Profitability Analysis
13.10. Analyzing and Solving Cases/Problems
13.10.1. Financial Information on Industria de Diseño y Textil, S.A. (INDITEX)
Module 14. Commercial Management and Strategic Marketing
14.1. Commercial Management
14.1.1. Conceptual Framework of Commercial Management
14.1.2. Commercial Strategy and Planning
14.1.3. The Role of Sales Managers
14.2. Marketing
14.2.1. The Concept of Marketing
14.2.2. The Basic Elements of Marketing
14.2.3. Marketing Activities in Companies
14.3. Strategic Marketing Management
14.3.1. The Concept of Strategic Marketing
14.3.2. Concept of Strategic Marketing Planning
14.3.3. Stages in the Process of Strategic Marketing Planning
14.4. Digital Marketing and e-Commerce
14.4.1. Objectives of Digital Marketing and e-Commerce
14.4.2. Digital Marketing and the Media It Uses
14.4.3. E-Commerce. General Context
14.4.4. Categories of e-Commerce
14.4.5. Advantages and Disadvantages of e-Commerce Compared to Traditional Commerce
14.5. Digital Marketing to Reinforce a Brand
14.5.1. Online Strategies to Improve Brand Reputation
14.5.2. Branded Content and Storytelling
14.6. Digital Marketing to Attract and Retain Customers
14.6.1. Loyalty and Engagement Strategies Using the Internet
14.6.2. Visitor Relationship Management
14.6.3. Hypersegmentation
14.7. Digital Campaign Management
14.7.1. What Is a Digital Advertising Campaign?
14.7.2. Steps to Launch an Online Marketing Campaign
14.7.3. Mistakes in Digital Advertising Campaigns
14.8. Sales Strategy
14.8.1. Sales Strategy
14.8.2. Sales Methods
14.9. Corporate Communication
14.9.1. Concept
14.9.2. The Importance of Communication in the Organization
14.9.3. Type of Communication in the Organization
14.9.4. Functions of Communication in the Organization
14.9.5. Elements of Communication
14.9.6. Problems of Communication
14.9.7. Communication Scenarios
14.10. Digital Communication and Reputation
14.10.1. Online Reputation
14.10.2. How to Measure Digital Reputation?
14.10.3. Online Reputation Tools
14.10.4. Online Reputation Report
14.10.5. Online Branding
Module 15. Executive Management
15.1. General Management
15.1.1. The Concept of General Management
15.1.2. The Role of the CEO
15.1.3. The CEO and their Responsibilities
15.1.4. Transforming the Work of Management
15.2. Operations Management
15.2.1 Importance of Management
15.2.2. Value Chain
15.2.3. Quality Management
15.3. Communication in Crisis Situations
15.3.1. Crisis
15.3.2. Phases of the Crisis
15.3.3. Messages: Contents and Moments
15.4. Preparation of a Crisis Plan
15.4.1. Analysis of Possible Problems
15.4.2. Planning
15.4.3. Adequacy of Personnel
15.5. Emotional Intelligence
15.5.1. Emotional Intelligence and Communication
15.5.2. Assertiveness, Empathy, and Active Listening
15.5.3. Self- Esteem and Emotional Communication
15.6. Personal Branding
15.6.1. Strategies for Personal Brand Development
15.6.2. Personal Branding Laws
15.6.3. Tools for Creating Personal Brands
15.7. Leadership and Team Management
15.7.1. Leadership and Leadership Styles
15.7.2. Leadership Skills and Challenges
15.7.3. Managing Change Processes
15.7.4. Managing Multicultural Teams
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Executive Master's Degree MBA in Advanced Technology Project Management
Nowadays, Digitalization has reached practically all business processes, which has led most companies to rely on a technology project manager. This professional profile must have specialized technical knowledge in the task to be performed and have team management skills to maximize their performance and value. In fact, this Executive Master's Degree MBA in Advanced Technology Project Management is designed to prepare business professionals to take on this role, which can lead to economic opportunities and professional and personal development.
Manage IT Projects through Business Intelligence
This Executive Master's Degree MBA in Advanced Technology Project Management has a large number of practical cases, up to date and aimed at meeting the needs of companies in the technological world and to enhance the graduate's leadership skills. In this sense, students will delve into the direction and management of Agile technology projects, technologies for managing resources and customers or the strategic control of IT projects. Throughout 1,500 hours, the student will benefit from the valuable experience of experts in technology projects, who will provide all the keys for the student to excel in this area. All this with the flexibility of a convenient online format.