Preparing students as the new generation of managers who understand data and are fluent in data-driven decision-making to solve real problems with Big Data in today’s digital world. Optional second Master's with Boston University, USA (9 months).

Technology advances have dramatically changed the way businesses function, and expertise in business analytics and data science is essential to leverage technology for optimal results. Applying a hands-on approach, this program gives students a comprehensive in data science, using industry-leading software, tools, and applications. Students will gain practical experience with advanced web-based applications and toolsets, understand how to use data as a strategic resource, and learn how to apply data management skills to a business setting in order to effectively implement data-driven solutions.

Business analytics and data science are crucial for the effective operation of companies today and professionals with proficiency in these areas are highly sought after by businesses. This program uses a hands-on, experiential methodology to give students practical skills and knowledge of industry-leading software, tools, and applications as well as a comprehensive understanding of key topics from big data to machine learning and AI.

Data is the resource of the 21st century, and the quest for harnessing its economic and social potential calls for an increasing number of specialists and managers who not only have solid technical, analytical, and AI know-how but are also able to apply them as creative entrepreneurs. The ability to recognize relationships in large data sets and to unleash their value with the help of Data Science and Artificial Intelligence is increasingly becoming a key competence that companies and organisations are eager to acquire, resulting in strong demand for talented experts who can harness this potential to best effect. The multidisciplinary Master's programme prepares its students for the challenges they will face as specialists and managers in the digital economy. As data scientists with strong applied skills, they will have a wide range of career options in SMEs, corporations, public institutions and non-profit organisations.

Artificial Intelligence and Machine learning have emerged as a discipline that emphasizes the development of advanced data-driven computer programs that can access data and learn by themselves. This is aimed at removing human intervention in the most tedious of tasks.

The Master of Science degree in Computational Science (MCS) at the Università della Svizzera italiana (USI) offers students the opportunity to acquire an in-depth understanding and set of skills in computational science, involving numerical simulation, applied mathematics, statistics, and data science. It provides an innovative combination of methodological and applied competencies in both computational and data science, which endow students with the knowledge and skills that are needed to operate at the forefront of science and industry.

Big data analytics comprises advanced analytics involving intricate applications of statistical, mathematical concepts in conjunction with advanced algorithms. This upbeat and hands-on style to reach business decisions is transformative because it empowers decision-makers with the power to make informed decisions to approach real-time business objectives. The MSc program in Big Data Analytics would allow students to gain an understanding of the various data sources and enable them to study, understand and analyze the data incurred across sources. This program in big data analytics follows a multi-disciplinary approach at its center, focusing on the prevalent as well as evolving Big Data tools like Hadoop and Cloud Architecture. This program is everything one would need to make an effective career shift and delve into the world of big data analytics.

MSDE is a unique opportunity for students to become highly qualified, software and data engineers able to effectively deal with the increasing complexity of modern software systems and with the gigantic amount of data they generate and manipulate. Software plays a pivotal role in almost all aspects of our lives, including transportation, communication, economy, and healthcare.

In the Master's degree program in Statistics and Data Science students are introduced to important models and methods from Probability Theory, Statistics, Financial Mathematics, Actuarial Science, and study aspects of Computer Science that are relevant for Data Science. The methods of Statistics and Data Science are applied in diverse fields and are considered a key technology for scientific research. The students of the Master's degree program get acquainted with recent research in these fields and are guided to work independently on a scientific project.

There is a growing need for experts who have specific knowledge in a scientific discipline combined with skills in data science, modeling, and computation. Programming, Algorithms, Data-Structures, Mathematical Modelling, Machine Learning, Pattern Recognition, Data Bases, Data Architecture Systems, Handling and Visualising Data, Neural Networks, and Deep Learning are the relevant Keywords. Those who master these contents have key qualifications for the future.