MASTER IN PROJECT MANAGEMENT + MASTER IN BIG DATA AND BUSINESS INTELLIGENCE

INTRODUCTION

The Master in Project Management + Master in Big Data and Business Intelligence is a dual degree program designed to train highly qualified professionals in the areas of project management and data analysis. This program combines the technical skills needed to work with Big Data and Business Intelligence, with the leadership and project management skills needed to lead teams and projects.

Choose to train at ENEB, one of the most prominent distance business schools in Europe, allowing you to train at the highest level from anywhere, with daily support from all professors and tutors.

THREE DIPLOMAS

Upon completing your studies, you will be eligible to receive a double certification awarded by the European Business School of Barcelona, endorsed and certified by Universidad Isabel I:

• Master in Project Management + Master in Big Data and Business Intelligence
• Business Spanish Program Certificate (optional)

Additionally, you will obtain a Diploma of Specialization in Innovation and Project Management issued by the European Business School of Barcelona. This diploma certifies the acquisition of key competencies in these strategic areas, significantly enhancing your professional profile and improving your employment opportunities in today’s competitive job market.

WHO IS IT FOR?

The Master in Project Management + Master in Big Data and Business Intelligence is aimed at:

• Professionals who wish to acquire knowledge in project management, Big Data, and Business Intelligence to improve their job performance.
• People who wish to develop skills to lead and manage projects with a focus on technology and data.
• Those looking to improve their skills in data-driven decision making and business data analytics.
• Individuals interested in working in the technology industry, particularly in project management and data-informed decision making.
• Professionals looking to improve their knowledge in areas of business innovation and digital transformation.

OBJECTIVES

The curriculum of the Master in Project Management + Master in Big Data and Business Intelligence aims to provide students with the following knowledge and skills:

• Provide a deep understanding of the tools, techniques and strategies in Project Management and Big Data.
• Develop leadership and project management skills.
• Provide a complete training in data analysis techniques and Big Data.
• Train students to lead teams and projects of high complexity in both areas.
• Develop skills in data-driven decision making.
• Foster creativity and innovation in project management and data analysis.
• Improve communication and collaboration skills in interdisciplinary projects.
• Provide a thorough understanding of the ethical and legal implications of data use.
• Prepare students to work in international and multinational environments.
• Provide students with networking and business opportunities in both areas.

CAREER OPPORTUNITIES

• Information technology (IT) and Big Data project manager.
• Project management consultant and business data analyst.
• Technology and data manager in companies of different sectors.

ADMISSION

To be eligible for any of our Master’s programs, applicants must meet the following requirements:

• Hold a degree in any field (Bachelor’s, Architecture, Higher or Technical Engineering, Licentiate, Diploma, or equivalent).
• University students currently pursuing a degree or equivalent higher education studies.
• Professionals with career prospects in their current positions.
• If you do not meet any of the above conditions, please contact the school, and the admissions department will evaluate your specific case.

SYLLABUS

The Master in Project Management + Master in Big Data and Business Intelligence is made up of the following syllabus:

SECTION 1: BUSINESS PLAN

• Topic 1. Vision, mission and values
• Topic 2. Strategic plan
• Topic 3. Business model
• Topic 4. Strategic analysis
• Topic 5. Monitoring the strategic plan

SECTION 2: PROJECT MANAGEMENT

• Topic 1. Project management figure
• Topic 2. Team management
• Topic 3. Team management and communication
• Topic 4. Project management

SECTION 3: DECISION MAKING

• Topic 1. Problem definition
• Topic 2. Selection of criteria and techniques
• Topic 3. Development of alternatives
• Topic 4. Analysis
• Topic 5. Decision
• Topic 6. Action plan
• Topic 7. Examples of problems

SECTION 4: AGILE METHODOLOGIES

• Topic 1. Product management
• Topic 2. Lean startup
• Topic 3. Agile management

SECTION 5: MANAGEMENT SKILLS

• Topic 1. Leadership
• Topic 2. Effective communication
• Topic 3. Coaching
• Topic 4. Empowering teams
• Topic 5. Change management

SECTION 6: DIGITAL BUSINESS

• Topic 1. E-commerce and its operations
• Topic 2. e-procurement: e-procurement
• Topic 3. Operational management of e-commerce: e-fulfillment
• Topic 4. Marketplaces
• Topic 5. The last mile
• Topic 6. Exponential structures
• Topic 7. Digital business

SECTION 7: DIGITAL TRANSFORMATION

• Topic 1. Business digitalization
• Topic 2. Artificial Intelligence (AI)
• Topic 3. The Internet of Things (IoT)
• Topic 4. Blockchain
• Topic 5. Big Data and Business Intelligence (BI)
• Topic 6. Cloud computing
• Topic 7. Industrial automation and robotics
• Topic 8. Cybersecurity

SECTION 8: SUPPLY CHAIN

• Topic 1. Supply chain
• Topic 2. Purchase management
• Topic 3. Warehouse management
• Topic 4. Logistic models
• Topic 5. Reverse logistics
• Topic 6. Amazon Model
• Topic 7. Innovation and sustainability

SECTION 9: BIG DATA

• Topic 1. Introduction to big data
• Topic 2. Big data in projects
• Topic 3. Agile methodologies
• Topic 4. Artificial Intelligence
• Topic 5. Use cases in industry

SECTION 10: DATA MANAGEMENT

• Topic 1. Open data
• Topic 2. Data management
• Topic 3. Data privacy
• Topic 4. Data storage
• Topic 5. Strategy and data

SECTION 11: BUSINESS INTELLIGENCE

• Topic 1. Introduction to business intelligence
• Topic 2. Business intelligence systems
• Topic 3. Design of reports, dashboards and KPIs
• Topic 4. Data sources
• Topic 5. Data quality

SECTION 12: PYTHON, CARTO, POWER BI AND GOOGLE DATA STUDIO

• Topic 1. Interpretation of data
• Topic 2. Interactive visualization with Python
• Topic 3. Introduction to Carto
• Topic 4. Microsoft Power BI
• Topic 5. Google Data Studio

SECTION 13: DATABASES

• Topic 1. Database fundamentals
• Topic 2. Database technology
• Topic 3. SQL Practice (MySQL)
• Topic 4. SQL Practice (MySQL)
• Topic 5. NoSQL practice (Hbase)
• Topic 6. Databases for networks
• Topic 7. Databases in the cloud

SECTION 14: DATA ANALYSIS AND INTERPRETATION

• Topic 1. Data representation
• Topic 2. Measurements
• Topic 3. Regression and correlation
• Topic 4. Probability
• Topic 5. Distributions
• Topic 6. Confidence intervals
• Topic 7. Introduction to Hypothesis Testing
• Topic 8. Statistics with R

SECTION 15: ARTIFICIAL INTELLIGENCE

• Topic 1. Introduction to data analysis with Python
• Topic 2. Introduction to machine learning
• Topic 3. Supervised machine learning
• Topic 4. Unsupervised machine learning
• Topic 5. Reinforcement learning
• Topic 6. Deep Learning Fundamentals

SECTION 16: STORAGE TECHNOLOGIES FOR BIG DATA

• Topic 1. Apache Hadoop
• Topic 2. The Hadoop Ecosystem
• Topic 3. Apache Spark
• Topic 4. Streaming Technologies
• Topic 5. File systems and platforms for big data in the cloud

DISTANCE LEARNING 

METHODOLOGY

Once enrolled, you will be able to access the Virtual Campus with all the academic resources you need, providing continuous communication with other students and professors. You will have access to discussion forums, be able to undertake executive training in English, and connect with all your classmates through the ENEB Campus, among many other possibilities.

EVALUATION

Consistency is a key element in your study plan. Through the self-assessments provided via the Virtual Campus, you will be able to consolidate the knowledge you have acquired.

To pass all subjects, it is essential to submit a final project for each course. Once your team of tutors has evaluated you, you can see your grade on the Virtual Campus. Additionally, you will receive a detailed document via email explaining all the points of your case study.

In the evaluation, your tutors will assess the following aspects:

• Presentation of the exercise, design, visual richness, and spelling.
• Development of the work, complexity of the statement, logic, and coherence in the results obtained in the case study.
• Added value in the analysis and development of the proposed case.

It is important to remember that all self-assessments are voluntary and do not count towards the final grade for each subject.

FINANCING

We help you with financing your studies. We offer three different payment options:

Upfront payment with debit/credit card:

We will give you a 10% direct discount.

Bank transfer:

We offer you the possibility to pay in two installments.

Financed payment in 11 installments:

We finance your studies with no down payment or interest.

GRANTS AND SCHOLARSHIPS

In ENEB, we believe that education should be available to everyone. This is why we have a scholarship system for our Master and Postgraduate students. Vacancies are limited and they are granted in order of enrolment. The list of scholarships is as follows:

Direct Scholarship: Without requirements or limitations in each enrolment period. Get your Direct Scholarship now without administrative procedures.

Scholarship for Academic Excellence: Intended for those students whose academic and professional qualifications have a profile of excellence.

Entrepreneurial Talent Scholarship: Designed for all those entrepreneurs who wish to study a Master’s or Postgraduate degree in order to apply it to their professional career.

Women and Equality Scholarship: Designed for female candidates who want to grow professionally and achieve the highest level of education. In ENEB, we are committed to gender equality and we encourage woman’s integration into the workforce.

Management Scholarship: Intended for all those professionals whose roles of responsibility requires them to continually grow and evolve.

Corporate Scholarship: Intended for all those professionals who want to boost their career and opt for higher positions.

Scholarship for self-employed professionals: Intended for self-employed professional who wish to pursue a Master’s or Postgraduate degree to gain an in-depth knowledge of their sector or to acquire the necessary skills to grow their business.

SMEs Scholarship: Designed for entrepreneurs who wish to increase their knowledge to contribute to the growth of their company.

Scholarship for the unemployed: Intended for all those who wish to pursue further studies in order to re-enter the job market.

Geographical Mobility Scholarship: Intended for all applicants who wish to study from anywhere in the world and thus, acquire a global view of the business world.