Master in Big Data and Data Intelligence

The Master in Big Data and Data Intelligence at INSA Business School is a comprehensive and innovative program designed to equip students with the essential skills and knowledge needed to excel in the rapidly evolving field of data science and analytics. This program provides a rigorous curriculum that combines theoretical foundations with practical applications, allowing students to develop expertise in big data management, advanced data analysis, machine learning, and artificial intelligence. Throughout the course, students will engage in hands-on projects, case studies, and workshops that simulate real-world challenges faced by organizations seeking to leverage data for strategic decision-making.

The program covers a broad spectrum of topics including data mining, statistical analysis, programming languages such as Python and R, data visualization, and cloud computing. Emphasizing both technical proficiency and business insight, the curriculum prepares students to transform complex data sets into actionable insights that can drive innovation and competitive advantage. INSA Business School's strong connections with industry partners and a focus on experiential learning ensure that students gain practical experience through internships and collaborative projects with leading companies.

Designed for recent graduates and professionals seeking to deepen their expertise, the Master in Big Data and Data Intelligence aims to develop not only technical skills but also critical thinking, problem-solving, and communication abilities. Graduates of this program are well-positioned to pursue careers as data scientists, data analysts, business intelligence specialists, and data engineers across various sectors including finance, healthcare, marketing, and technology. With a faculty composed of experienced academics and industry experts, the program ensures that students stay abreast of the latest advancements and best practices in the field of data science.

In today’s data-driven world, mastering big data and data intelligence is vital for organizations aiming to innovate and stay competitive. By choosing this program at INSA Business, students embark on a challenging and rewarding educational journey that opens doors to global career opportunities in one of the most dynamic and high-demand fields of our time.

Modules

Module 1
Descriptive Analysis Why do we want to analyze the data? What data do we need?
Module 2
Repository construction analysis. How to save the information.
Module 3
Definition and creation of variables. Where to start analyzing.
Module 4
Graphical representation variables. What and how to measure results.
Module 5
Defining indicators and validating results. Amount of data to analyze.
Module 6
Data Mining. Can we reduce the number of variables for analysis? Relations between events / hidden relationships. Grouping of users and / or products. Forecasts of behavior. Application of Analysis to the environment 2.0.
Module 7
Big Data. Strategic management of data flow. Generate economic value through the capture and analysis. Lifetime data. Improved Customer Service and competitive. Performance, segmentation and automation.
Module 8
Case Study. How to apply the acquired knowledge to a practical case.

Program Requirements:

Applicants must hold a Bachelor's degree or equivalent in Computer Science, Information Technology, Mathematics, Engineering, or related disciplines from an accredited institution. A solid foundation in computer programming, algorithms, and data structures is essential. Proven proficiency in programming languages such as Python, Java, or C++ is highly recommended. Candidates should demonstrate strong analytical and problem-solving skills, with prior experience in data analysis, machine learning, or database management considered an advantage.

Applicants are required to submit a formal application including academic transcripts, curriculum vitae, and a motivation letter outlining their interest in Big Data and Data Intelligence. Letters of recommendation from academic or professional references may be requested. Due to the interdisciplinary nature of the programme, applicants must exhibit good command of English, with non-native speakers required to provide proof of language proficiency (such as TOEFL or IELTS scores).

Preference is given to candidates with relevant work experience in data-related fields, including internships or employment involving data analysis, software development, or data management. Balanced admissions considerations also include academic performance, motivation, and potential contributions to the programme’s active learning environment.

Applicants should be prepared for a rigorous curriculum comprising advanced courses in data mining, machine learning, statistical analysis, data visualization, and big data infrastructure. Participation in practical projects, internships, and collaborative research is integral to the programme's structure. The programme aims to develop professionals capable of designing, implementing, and managing large-scale data solutions in diverse industry sectors.

As part of the admission process, candidates may be interviewed to assess their motivation and readiness to undertake the programme’s challenging coursework. Overall, the program seeks students with a strong technical background, analytical mindset, and a keen interest in advancing the field of data intelligence.

Funding options for the Master in Big Data and Data Intelligence at INSA Business School typically include a variety of financial support mechanisms designed to assist students in covering tuition fees and living expenses. Students may benefit from scholarships offered directly by INSA Business School, which are often awarded based on academic excellence, motivation, or specific eligibility criteria such as nationality or professional background. These scholarships can significantly reduce the financial burden and make the programme accessible to a broader range of applicants.

Additionally, students can explore government grants and subsidies available in their home countries or through international organizations that support higher education. Many governments provide loan schemes or financial aid programs for students pursuing master's degrees abroad, which can be repaid after graduation once employment is secured. INSA Business School may also have partnerships with financial institutions that offer special loan arrangements with favorable terms for enrolled students.

Part-time work opportunities are another common form of financial support, allowing students to work on campus or in related industries during their studies. This not only helps with income but also provides valuable professional experience in the data science and analytics fields. Students are encouraged to seek internships or cooperative education placements, which are often integrated into the curriculum, offering practical exposure and potential financial compensation.

Moreover, some students may opt for formal employer sponsorships or company-funded programs if they are already employed in related sectors. These arrangements typically involve the employer financing part or all of the tuition costs in exchange for commitments to work for the company after graduation.

Finally, it is important to note that the availability and eligibility criteria for these funding options can vary from year to year. Prospective students are advised to visit the official INSA Business School website or contact the admissions office directly for the most current information on financial aid opportunities, application procedures, and deadlines. Overall, a combination of scholarships, loans, employment, and sponsorships can help students manage the costs associated with obtaining a Master in Big Data and Data Intelligence at INSA Business School.

The Master in Big Data and Data Intelligence at INSA Business School is a specialized graduate program designed to equip students with advanced skills in data analysis, data management, and information systems. This program focuses on providing a comprehensive understanding of the methodologies and tools necessary to extract valuable insights from large and complex data sets. It combines theoretical knowledge with practical applications, preparing students for careers in data science, analytics, and artificial intelligence.

The curriculum includes courses on statistical analysis, machine learning, data visualization, programming languages such as Python and R, and big data technologies like Hadoop and Spark. Students also learn about data governance, privacy, and ethical considerations in data handling. The program emphasizes hands-on projects and internships, allowing students to apply their skills to real-world problems faced by industry partners. This approach enhances their employability and prepares them for leadership roles in digital transformation initiatives across various sectors including finance, healthcare, marketing, and technology.

INSA Business School's environment fosters innovation, collaboration, and professional development. Students benefit from a faculty with expertise in data science, business intelligence, and machine learning, as well as access to state-of-the-art laboratories and resources. The program typically lasts one or two years, depending on the study track and whether students pursue a full-time or part-time schedule.

Graduates of the Master in Big Data and Data Intelligence program are well-positioned to join the rapidly growing job market for data professionals. They can pursue roles such as data analyst, data scientist, business intelligence analyst, or AI specialist. Additionally, the program provides a solid foundation for those interested in further academic research or pursuing doctoral studies in data-related fields. Overall, this master's program aims to develop competent, innovative, and ethical data professionals capable of addressing complex challenges in the digital age.