Master Big Data y Project Management

The main goal of the Master in Big Data and Project Management is to equip students with solid, practical, and application-oriented knowledge that enables them to confidently and effectively manage data analytics projects in Big Data environments. Specifically, the program aims to:

• Understand the socioeconomic model that shapes and explains the Big Data phenomenon.

• Gain an in-depth knowledge of the current data ecosystem and learn how to define data value-generation strategies.

• Design data analytics projects from a business-oriented perspective, establishing objectives, KPIs, and impact metrics.

• Develop management skills through a transversal understanding of the company and its processes.

• Master the key phases and activities involved in a Big Data Analytics project, from conceptualization to execution.

• Learn the fundamental concepts and tools of project planning and management, applicable to any technological environment.

• Identify different data types and characteristics, major data sources, and the appropriate data consumption and preprocessing techniques for each.

• Understand the basics of statistics, Data Mining, and Machine Learning, and be able to define analytical models that incorporate these methods.

• Learn the principles of distributed architecture and the core technological components that form a Big Data Analytics system.

• Understand key concepts in data visualization, including numerical, textual, and geospatial information.

• Gain hands-on experience with the main professional tools used in each phase of the analytics workflow.

• Complete a pilot Big Data Analytics project, integrating and applying all the knowledge and skills acquired throughout the program.

The program is designed for technology professionals as well as individuals from any field who wish to orient their career toward data-driven roles and project management within Big Data environments. It is especially suitable for:

a) Recent graduates and professionals seeking to expand their knowledge in Big Data and Project Management.
b) Experienced professionals looking to acquire new competencies, take on greater responsibilities, or gain professional recognition.
c) Companies that aim to upskill and specialize their teams in data analytics and technological project management.
d) Vocational Training graduates (both Intermediate and Advanced levels) who seek practical preparation to enter the workforce.

Upon completing the Master in Big Data and Project Management, students will be prepared to take on roles of responsibility in the fields of data analytics and technological project management. Career opportunities include:

• Data Management Specialist

• Data Project Manager

• Strategic Director

• Data Analyst

• Data Scientist

• Data Engineer

In addition, INSA offers students the possibility of undertaking internships in companies during the master’s program. We manage more than 500 job and internship offers per year across the various areas in which we train professionals. Maintaining close contact with the professional world and enabling students to apply their knowledge in real environments is one of our key differentiating factors.

DATA INTELLIGENCE AREA

Build a strong foundation to understand and work with data from day one.

• Descriptive Analytics: Learn what data you need and why.

• Data Repositories: Discover how to structure and store information efficiently.

• Variables & KPIs: Master the creation of variables, indicators, and visualizations that drive decision-making.

• Data Mining: Uncover hidden patterns, segment users, and forecast behaviour.

• Hands-on Practice: Apply your knowledge through real case studies designed to enhance your analytical skills.

BIG DATA AREA

Dive into the Big Data ecosystem with cutting-edge tools and technologies.

• Big Data Essentials: Understand the Big Data phenomenon and its impact on today’s businesses.

• Project Structure: Explore the most in-demand roles—Data Scientist, Data Engineer, Project Lead, and more.

• Technical Foundations: Get familiar with Hadoop, Spark, Storm, and other key technologies.

• Data Lifecycle: Learn to capture, process, and enhance data from multiple sources, including geospatial data.

• Scalable Architectures: Work with distributed and highly scalable infrastructures.

• Data Visualization: Create dashboards, maps, and visual insights that add real value.

• Capstone Project: Execute a complete Big Data Analytics project to consolidate your learning.

PROJECT MANAGEMENT AREA

Strengthen your technical profile with highly valued management skills.

• Project Management Fundamentals: Master the essential phases and knowledge areas of project management.

• Scope, Time & Cost Management: Learn to define objectives, plan timelines, and control budgets.

• Digital Tools: Use Microsoft Project and other professional tools to lead projects successfully.

Interested in the full syllabus? Request more information and receive the complete program guide.

The program’s evaluation system is based on attendance, a mid-course partial assessment, and the development and presentation of the final project.

After successfully completing all evaluation requirements and meeting the minimum attendance criteria, the student will be awarded the Master’s Degree in Big Data & Project Management from INSA Business, Marketing & Communication School.