Master Big Data y Project Management Analitico

The Master in Big Data and Analytical Project Management at INSA Business School is a comprehensive postgraduate program designed to equip students with advanced skills in data analysis, big data technologies, and project management within data-driven environments. This program combines the theoretical foundations of data science with practical applications in managing complex analytical projects, preparing graduates for leadership roles in industries that rely heavily on data insights. Throughout the course, students will learn to manipulate vast datasets, develop predictive models, and utilize cutting-edge tools and programming languages such as Python, R, and SQL. The curriculum emphasizes not only technical expertise but also strategic thinking, communication, and decision-making skills essential for managing multidisciplinary teams and projects. Students will engage in real-world case studies, hands-on projects, and collaboration with industry partners to gain practical experience. The program aims to foster innovation, analytical thinking, and problem-solving abilities, empowering graduates to design, implement, and oversee data projects that drive business growth and operational efficiency. Graduates of the program are prepared for roles such as Data Analyst, Data Scientist, Business Intelligence Manager, and Data Project Manager across various sectors including finance, healthcare, marketing, and technology. With a focus on current industry standards and emerging trends in big data and analytics, the Master in Big Data and Analytical Project Management at INSA Business School offers a unique opportunity for professionals seeking to enhance their expertise in a rapidly evolving field.

ÁREA DE DATA INTELLIGENCE

– Análisis Descriptivo
¿Para qué queremos analizar los datos? ¿Qué datos necesitamos?

– Construcción del repositorio de análisis.
¿Cómo guardamos la información?

– Definición, creación y representación gráfica de variables.
¿Por dónde comenzamos a analizar? ¿Qué y cómo medimos resultados?

– Definición de indicadores y validación de resultados.
¿Cuántos datos analizamos?

– Minería de Datos.
¿Podemos reducir el número de variables para un análisis? ¿Existen Relaciones entre sucesos? ¿Existen relaciones ocultas? ¿Podemos agrupar usuarios y/o productos? ¿Podemos hacer previsiones de comportamiento?

– Casos Prácticos
¿Cómo aplicamos los conocimientos adquiridos a un caso práctico?

ÁREA DE BIG DATA

– Introducción al fenómeno Big Data
El fenómeno Big Data en contexto. ¿Qué es Big Data? ¿Por qué ahora?
El dato como elemento clave para la generación de valor en la empresa actual

– Estructura de los proyectos
Estructura de los proyectos Big Data Analytics. Data Scientist, Data Engineer, Data Practitioner… perfiles laborales de éxito asociados al Big Data

– Fundamentos y herramientas del Big Data
Fundamentos técnicos del Big Data. El ecosistema Big Data y la caja de herramientas del Data Scientist. Librerías algorítmicas

– Contextualización de los datos
El trabajo con datos en el contexto Big Data. El ciclo de vida del dato. Fuentes de información, tipología y calidad del dato

– Captura y pre-procesamiento de datos
Nuevos modelos de almacenamiento de datos. Explotación de datos geoespaciales

– Tecnologías de escalabilidad horizontal de sistemas
Computación distribuida en cluster y frameworks de referencia: Hadoop, Spark, Storm…

– Explotación de datos
Explotación multicanal de datos y tecnologías de visualización: dashboards, mapas, librerías gráficas

– Proyecto final
Proyecto de Big Data Analytics

ÁREA DE PROJECT MANAGEMENT

– La gestión de proyectos
Las cinco etapas de la gestión de proyectos, las nueve áreas del conocimiento en la gestión de proyectos.

– Definición del alcance de proyectos
Scope Management

– Cronograma del Proyecto
Time Management

– Coste y Financiación de Proyectos
Cost Management

– Herramientas Informáticas
Microsoft Project

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The Master in Big Data and Analytical Project Management at INSA Business School requires applicants to hold a bachelor’s degree or an equivalent qualification from a recognized university in fields related to engineering, information technology, computer science, management, or other relevant disciplines. Prospective students must demonstrate a strong foundation in quantitative analysis, programming, and data management, as well as a good understanding of project management principles. Prior experience in data analytics, software development, or related areas is considered advantageous. To apply, candidates must submit a completed application form, their academic transcripts, a resume or CV outlining their educational background and professional experience, and a personal statement explaining their motivation for enrolling in the programme and their career objectives. For non-native English speakers, proof of English proficiency through tests such as TOEFL or IELTS may be required, unless the applicant has completed previous studies in English. The programme may also require letters of recommendation from academic or professional referees who can attest to the candidate's analytical skills, motivation, and suitability for advanced studies in big data and project management. An interview, either in person or via video conferencing, might be part of the selection process to assess the candidate's motivation and communication skills. The programme is designed to attract students from diverse backgrounds, so selected candidates should possess a combination of technical knowledge, management capabilities, and a keen interest in data-driven decision-making. Successful applicants will be expected to have a good command of computer programming languages such as Python, R, or SQL, and be familiar with data visualization tools and methodologies. Additionally, they should demonstrate a capacity for critical thinking, problem-solving, and effective teamwork. The admissions process emphasizes academic excellence, practical experience, and motivation, aiming to enroll students who are prepared to engage with complex data projects and contribute to innovative solutions in the big data industry.

The Master Big Data y Project Management Analitico at INSA Business School offers a comprehensive financing scheme to support students throughout their studies. Tuition fees are typically structured to accommodate a diverse range of financial situations, with options for payment in full or through installment plans. Specific costs are publicly available on the university's official website and are subject to periodic updates; however, detailed financial information is not explicitly provided for this particular programme. Students are encouraged to explore various funding avenues, including scholarships, grants, and external financial aid programs that may be available through governmental or private organizations. INSA Business School actively promotes the accessibility of higher education by offering scholarships based on academic merit, financial need, or specific demographic criteria, which can significantly reduce the financial burden. Additionally, students may consider financing options through third-party lenders that specialize in educational loans, often providing advantageous interest rates and flexible repayment terms. The institution also offers guidance on applying for such financial products to ensure students are well-informed of their options and responsibilities. Furthermore, some students may qualify for employer-sponsored funding if their current employment aligns with the programme's focus, facilitating employer reimbursement schemes or sponsorships. The school encourages prospective students to contact its financial aid office directly for personalized advice and assistance in constructing a suitable financing strategy. Overall, the programme’s financial framework aims to provide flexible and accessible options, enabling students from various backgrounds to pursue their educational and professional goals without undue financial hardship.

The Master’s Degree in Big Data and Project Management Analytics offered by INSA Business School is designed to prepare students for the rapidly evolving field of data-driven decision making and project leadership. This programme combines advanced training in big data technologies, data analysis, and project management methodologies to equip graduates with the skills necessary to handle complex data projects in various industries. Students will gain a solid understanding of data collection, processing, and visualization techniques, as well as practical experience with tools such as Python, R, SQL, and popular data analytics platforms.

Throughout the programme, participants will learn how to develop and implement data-driven strategies, manage cross-functional teams, and oversee large-scale data projects from inception to completion. The curriculum emphasizes both technical expertise and leadership abilities, preparing students to excel in roles such as data analyst, data scientist, project manager, or business intelligence specialist. The programme also includes real-world case studies, internships, or project work with partner companies, providing students with valuable practical experience and networking opportunities in the industry.

INSA Business School’s teaching approach combines theoretical knowledge with practical application, using a project-based methodology to ensure students can translate their learning into tangible business solutions. Classes are often delivered by experienced industry professionals and academics who bring contemporary insights into data analytics and project management. The programme is tailored for recent graduates, professionals seeking career advancement, or those wishing to pivot into the big data field, offering a comprehensive curriculum that addresses current market demands.

Graduates of this programme will emerge with a robust skill set that includes data analysis, strategic planning, project leadership, and technology implementation. They will be capable of working effectively in multidisciplinary teams, managing data projects from start to finish, and contributing to innovative data solutions within their organizations. The Master’s Degree emphasizes the development of critical thinking, problem-solving, and communication skills, which are essential for success in the competitive field of big data and project management. Furthermore, INSA Business School’s strong ties with the industry and alumni network provide ongoing support and career opportunities for graduates, helping them to integrate seamlessly into the professional world and advance their careers in data-driven environments.