;Actuarial Sciences and Finance The rapid development of financial markets worldwide, has expanded considerably to the theory of finance, so the banking, insurance and large companies need "experts" in this field. In this perspective, INSEA began training engineers actuarial funding status since 1998, engineers familiar with the new financial theories, while mastering tools, mathematics and statistics at top level. A state engineer holds a Diploma in Actuarial INSEA-finance can work in multiple markets such as market operators: they take positions and manage mission-oriented investment, hedging or speculation on behalf of institutions or customers; official who follows the market activities and control risk; fund manager: making investment choices, or take positions to ensure better use of the wallet, within the constraints of legislation and contracts spent with clients, managing assets / liabilities: Advisor of the Directorate General in the asset and liabilities, or organizer: adaptation and modernization of tools and methods. ;Biostatistics, Demography, and Big Data The aim of the Biostatistics, Demography, and Big Data program is to equip students with multidisciplinary skills for careers that combine Statistics (and its counterpart "Big Data"), Demography, Biomedical Sciences, and Big Data tools (languages and platforms). The curriculum provides a multidisciplinary education characterized by a breadth of advanced courses in Statistics/Biostatistics, Demography, Sociology, and Sustainable Development, survey methodology, forecasting techniques, and the ability to utilize both conventional data and unconventional sources such as data from web traces (Internet of Things, Social Networks, satellite data, mobile telephony...) with added value from knowledge and methods of machine learning for Big Data utilization. ;Data Science The objective of the program is to train a specialized profile in the management and sharp analysis of massive data, "Big Data." This sought-after profile, namely the "Data Scientist," integrates the profiles of "Data Analyst" and "Data Engineer"; they are capable of generating predicted values from raw data. Based on multiple, scattered, and
unstructured data sources, they determine prediction models and indicators allowing the implementation of a strategy addressing a specific problem. They are therefore specialized in Computer Science, Statistics, and Applied Mathematics. The engineer also benefits from courses in Economics, Entrepreneurship, Sociology, Communication, and languages to reinforce soft skills. This triply versatile training allows the Data Scientist engineer from INSEA to analyze any type of problem related to massive data, propose suitable and quality computing solutions and prediction models, easily integrate into the professional world, and intervene in all areas and specializations of Data Science. ;Data and Software Engineering Recent developments in computer science are increasingly shifting software development activities towards integrating large-scale data processing technologies, aiming to obtain systems based on robust and scalable architecture. The knowledge imparted in the Data and Software Engineering program follows this trend and is designed to enable future engineers to quickly access roles such as data engineer or software development consultant. Thus, this program significantly broadens the spectrum of opportunities available to our students, especially since INSEA remains one of the few Moroccan engineering institutions to offer such a curriculum. ;Operational Research Operations research is the application of scientific method to master the complex problems encountered in the direction and management systems in industry, commerce and administration. The aim is to take an aid to decision making. The curriculum at INSEA attempts to provide both: a preparation for life in Operations Research, research and preparation of OR in the following areas: Combinatorial optimization, Graphs and Combinatorics and Discrete Mathematics. Through cross-training acquired in INSEA, the engineer in OR is as much an expert analysis of organizational processes and phenomena that specializes in the management, design and operation of systems information. It can therefore work in the following areas: computerization of a business information management (job description), analysis of financial flows (work schedule), designing databases, development of Master Plan (quality control ) management of telecommunications (forecast) and also in the system design decision support (inventory management). ;Applied Economics, Statistics, and Big Data The objective of this program is to train students in various techniques to acquire a profile as a statistician-economist engineer whose skills can be applied in all sectors of the economy, industry, and services. Upon completion of this training, students will be capable of adapting to issues arising from different sectors of activity, innovating, and employing new methods of data collection, processing, and statistical and econometric analysis to carry out projects meeting the needs of the administration or the private sector: industry, banking sector, polling institutes, services, etc. == Student life ==