A Master’s degree in Data Science and Artificial Intelligence opens up a wide range of job opportunities in various industries, including healthcare, finance, e-commerce, and technology. According to a report by the World Economic Forum, data analysts and scientists are in high demand across industries due to the growing importance of data-driven decision-making. The report also highlights that the job market for data scientists is expected to grow by 19% by 2026. In addition, a report by IBM states that the demand for AI-related roles has increased by 74% over the past four years, and this trend is expected to continue. The report also mentions that AI-related jobs pay well and are in high demand across various industries, including healthcare, finance, and retail. With the skills and knowledge gained through a Master’s program in Data Science and Artificial Intelligence, graduates can explore career opportunities as data analysts, machine learning engineers, AI researchers, business analysts, and data scientists, to name a few.
Machine Learning and Artificial Intelligence Expert
The Machine Learning and Artificial Intelligence expert is responsible for the design, development, implementation, and maintenance of artificial intelligence systems, and in particular, but not exclusively, machine learning systems. Examples of such systems include decision support systems, recommendation systems, optimization and planning systems, artificial vision, natural language processing, automation systems. Application contexts include, among others, manufacturing, medicine, sustainable growth and climate change, insurance and finance, smart infrastructures (smart cities, smart grids), home automation, security, entertainment.
The master’s graduate acquires solid knowledge of the scientific foundations of Machine Learning and Artificial Intelligence, as well as programming skills, use of intensive computing resources, and software design, which enable them to design, implement, install and maintain machine learning and artificial intelligence systems. Skills include the ability to model a complex problem and the available data flows and formulate algorithmic solutions that make use of the most appropriate machine learning and artificial intelligence tools, including deep learning techniques, computer vision, natural language processing, techniques for managing big data, symbolic methods of knowledge representation and automatic reasoning, explainable artificial intelligence techniques. The master’s graduate will also have an understanding of the ethical and legal aspects related to their function. They will learn how to continuously update their knowledge and develop design and organizational skills appropriate to their professional role, as well as relational and communication skills to interact in a multi-disciplinary context with experts from other disciplines.
As a Machine Learning and Artificial Intelligence expert, there are various job opportunities available in different sectors. Private companies and public institutions that use or develop systems involved in the automatic analysis of data and decision support are potential employers for such experts. This includes advanced design and development activities as well as research and development. Universities, both public and private research institutes and laboratories are also potential employers for these experts. Consulting firms and companies dealing with business intelligence can also benefit from the expertise of Machine Learning and Artificial Intelligence experts. In addition, biomedical and pharmaceutical companies, as well as companies in the financial and insurance sectors, can also offer employment opportunities.
Data Scientist
These professionals will be responsible for managing large data sets, applying appropriate computational, statistical, and machine learning methods for data analysis, and extracting and visualizing information, collaborating with professionals from other disciplines to effectively and collaboratively solve complex problems. Graduates can perform tasks of high responsibility and coordination in the workplace. Examples of areas in which these skills are increasingly central include business intelligence, smart cities, sustainable development, smart health, fintech, insurance, and smart manufacturing.
The Data Science expert will have deep skills in data analysis methods for big data, from big data management to machine learning, complemented by more computer and technology-related skills (programming, HPC, cloud computing), statistical and mathematical modeling skills, and an understanding of the ethical and legal issues associated with their function. These skills will form a solid conceptual basis for analyzing complex problems involving the analysis and management of large amounts of data and proposing solutions that effectively integrate these tools. The graduate will also develop good communication skills to interact with other professionals, understand the problems posed, and communicate the results of their work, even in an international context. They will be able to continuously update themselves on technological and methodological innovations and propose innovative and efficient solutions to the problems posed.
With the skills acquired, the master’s graduate can perform high-responsibility job functions in various fields, including research, development, and design centers, both public and private, in both industrial and scientific technological fields, companies that provide services for the treatment of large amounts of data, financial or banking institutions, insurance companies, service companies, and independent consulting firms.