Overview

The curriculum is therefore designed to provide you with a solid grounding in the theory as well as the methods and techniques used in data science. From the onset, the industry stakeholders insisted on exposure to the basic 'core' theory in data science including discrete and continuous mathematical concepts, statistics, probability, and the theoretical foundations of machine learning and data analytics. This will ensure that, upon completion of the 60 ECTS taught component, you will have a solid background in the theory that is considered a pre-requisite for data science practitioners.  Data Science is offered at  University of Malta .

Career:

As a graduate in data science, you may find yourself in a variety of environments within academia, research, industry, government and private organisations. The following is a short list of possible research and vocational areas for data science graduates:

• Machine Learning Specialist

Machine learning specialists create data funnels and deliver software solutions. In addition to designing and building machine learning systems, they are also responsible for running tests and experiments to monitor the performance and functionality of such systems.

• Data Architect

Data architects ensure data solutions are built for performance and design analytics applications for multiple platforms. In addition to creating new database systems, data architects often find ways to improve the performance and functionality of existing systems, as well as working to provide access to database administrators and analysts.

• Data Engineer

Data engineers perform batch processing or real-time processing on gathered and stored data.