Why this program?

Data science is driving economic growth, public policy and corporate strategy all over the world, and the ability to manage and interpret data is rapidly becoming an essential skill in many organisations and industries. This transformation is generating a substantial unmet need for graduates who are not only technically proficient in analyzing data but who also know how to responsibly collect and manage data, and use data to make decisions and discoveries, think critically, and communicate effectively.

The Data Science undergraduate curriculum from NOVA IMS is an innovative interdisciplinary program designed with industry and offers an engaging, flexible, and high-quality experience. It emphasizes modern statistical and computational methods, strong communication skills, and extensive hands-on experience with the analysis of data from real, interdisciplinary problems.

The Bachelor in Data Science has been designed to train future professionals with skills to analyze a vast amount of data; understand, develop and use models, algorithms and the most advanced techniques in the field of data science, to analyze and extract knowledge from Big Data.

With The Bachelor in Data Science I will be equipped to to draw sound conclusions from data in context, using knowledge of statistical inference, computational processes, data management strategies, domain knowledge, and theory. / I will understand the theoretical foundations of statistics, machine learning and artificial intelligence methods. / I will identify and understand the most efficient algorithm for each specific problem, design and develop state-of-the-art data science algorithms. / I will learn to carry out analyses of data through the full cycle of the investigative process in scientific and practical contexts. / I will gain a deep appreciation of the human, social, and institutional structures and practices that shape technical work around computing and data, as well as an understanding of how data, data analytics, machine learning, artificial intelligence, and computing permeate and shape our individual and social lives.

Learning by design

| Every academic program has been designed to provide clear and ambitious learning outcomes. These learning outcomes give you an understanding of what you will be able to do at the end of the course. We develop each academic program by designing modules that grow your abilities towards the learning outcomes and help you to explain what you can offer to employers. Find out more about our approach to teaching and learning.

Students who complete this degree will be able to:

• Understand the theoretical foundations of statistics, Machine Learning and Artificial Intelligence methods.
• Identify and understand the most efficient algorithm for each specific problem.
• Design and develop state-of-the-art data science algorithms.

• Work closely with IT specialists to integrate Data Science algorithms into existing systems.
• Identify underlying patterns and extract useful information from the large volume of heterogeneous data that exists in organizations.
• Be proficient in commonly used statistical procedures, frameworks, machine learning techniques and systems.
• Stimulate interest in keeping up with scientific advances in the field of Data Science and Artificial Intelligence.

Who is it for?

Whether you call them Data scientists or Data Gurus or by some other fancy name, the fundamentals remain the same! The world is in acute need of smart and creative people who can dive deep inside the ocean of Big Data and save the world from ignorance and provide valuable insights into businesses and help the World Economy grow!

Our Bachelor in Data Science is aimed at all high school finalist students, who look for in-depth training on the latest data science and artificial intelligence techniques, based on automatic logic reasoning, methods and techniques of data management as well as in machine learning applications. The course aims at training highly specialized professionals to help organizations take advantage of the huge amount of their data.

Where?

NOVA IMS is recognized by Celonis, world leader in Process Mining, as Academic Center of Excellence along with London School of Economics, Central Michigan University, Arizona State University.

NOVA IMS was and is a pioneer in converting data into value, with more than 30 years of experience and success accumulated in this area. NOVA IMS is the information management school of NOVA University Lisbon, with nationally and internationally recognized pedagogical skills in “data science and analytics” and “information systems”. Among universities founded less than 50 years ago and across most of the significant World University Rankings 2022 [Financial Times, QS, Eduniversal, U-Multirank, Times Higher Education, Leiden Ranking], NOVA University Lisbon stands in the European TOP 10.

NOVA IMS programs are internationally accredited, and several Masters and Post Graduations have been classified in positions of clear leadership by Eduniversal [the international agency that publishes annual ranking of the best Masters and MBAs in the world]: Master in information Management ranked 1st in the world, Postgraduate in Information Management and Business Intelligence in Healthcare ranked 1st in the world, Master in Statistics and Information Management ranked 2nd in the world,

Postgraduate in Enterprise Data Science & Analytics ranked 3rd in the world, Master in Data Science & Advanced Analytics ranked 1st in Western Europe, Master in Data Driven Marketing ranked 3rd in Western Europe are examples of such excellent programs to name just a few, placing it among the world leading schools of information management. NOVA IMS Master of Science in Geospatial Technologies has been selected by the European Commission as one of the most excellent Master Programs in Europe, and NOVA IMS Bachelor has the 1st Degree in Europe to be accredited in Information Systems by ABET. NOVA IMS was the 1st institution in the Iberian Peninsula to join iSchools, an international organization that brings together leading universities in research and teaching of information sciences. It is the 1st university outside the USA to achieve the GEOINT [Geospatial Intelligence] accreditation by the United States Geospatial Intelligence Foundation (USGIF), and is accredited member of UNIGIS, an international network of leading schools in Geographic Information Systems.