Discover the career opportunities in Data Science and Artificial Intelligence

Data Science and Artificial Intelligence are two interrelated fields that have experienced a dramatic boom in recent years. With the exponential growth of data and technological advances in machine learning and artificial intelligence, the career potential in these fields is immense. In this article, we will learn about the various career opportunities available in Data Science and Artificial Intelligence and how they can open doors to exciting and lucrative opportunities in a variety of industries.

With UDIT's Bachelor of Science in Data Science and Artificial Intelligence, you will acquire skills to manage, analyse and leverage big data, as well as to make decisions in complex contexts and develop innovative solutions using Artificial Intelligence. Our unique curriculum will immerse you in technical aspects such as programming and AI algorithms, training you in methodologies and tools that are transforming the business landscape.

9 professional profiles

Data Scientist

One of the most sought-after roles in the field of Data Science is that of data scientist. These professionals are experts in extracting knowledge and insight from large data sets using statistical techniques, machine learning and data analysis. Their work involves collecting, cleaning, analysing and visualising data to help businesses make informed and strategic decisions. You can work in a variety of sectors such as healthcare, finance, architecture, consulting, engineering, etc.

What do I need to do to become a Data Scientist?

Data Engineer

Data engineers are responsible for designing, building and maintaining data storage and processing systems. They work on building robust and scalable data infrastructures that enable the efficient analysis of large volumes of data. Their expertise in databases, programming and big data technologies is critical to the success of any business that relies on data management.

Machine Learning Engineer

Machine learning engineers develop machine learning algorithms and models that allow machines to learn and improve with experience. They use techniques such as supervised, unsupervised and reinforcement learning to train predictive and analytical models that can automate complex tasks and make real-time decisions.

Artificial Intelligence Developer

Artificial intelligence developers build systems and applications that simulate human intelligence using techniques from machine learning, natural language processing, computer vision and other areas of AI. They work in a variety of fields, includingvirtual assistants, recommender systems, autonomous vehicles and robots.

Data Analyst

Data analysts are responsible for analysing data sets to identify trends, patterns and relationships that can be useful for business decision-making. They use statistical analysis and data visualisation tools to communicate their findings clearly and effectively to stakeholders.

AI Research Scientist

AI research scientists work at the forefront of artificial intelligence research, exploring new techniques and methods to improve the performance and efficiency of AI systems. Their work can range from theoretical research to practical implementation of AI algorithms and models.

Data Consultant

Data consultants provide advisory services and guidance to companies looking to leverage their data effectively. They help companies identify business opportunities, design data analytics strategies and develop customised solutions for their specific needs.

Artificial Intelligence Security Researcher

Artificial intelligence security researchers study the potential risks and vulnerabilities associated with the use of AI systems and develop measures to protect them against external threats. Their work is critical to ensuring the security and integrity of AI systems in an increasingly connected and digitised world.

Data Science Business Analyst

Data science business analysts use data analytics techniques to help companies make strategic decisions and optimise their operations. They work in areas such as inventory management, demand forecasting, customer segmentation and price optimisation to maximise profitability and business performance.

These are just some of the many career opportunities available in the fields of Data Science and Artificial Intelligence. With the continued growth of technology and the digitisation of society, the demand for professionals in these fields is expected to continue to increase in the coming years. Those who choose to pursue a career in Data Science and Artificial Intelligence can expect to find numerous exciting and rewarding opportunities in a variety of industries and sectors.

Study for a degree in Data Science and AI at UDIT

At UDIT we know that the relationship between University-Business is vital for students' professional success, which is why internships are a fundamental aspect of the curricula of all our degrees, and we have hundreds of agreements with technology companies. At UDIT we are constantly working to promote partnerships with companies, developing an ecosystem of companies and institutions that collaborate in the professional development of our students.

If you are interested in studying the Degree in Data Science and Artificial Intelligence, do not hesitate to contact us. We will help you to resolve your doubts and accompany you in the process of choosing your future.