Job opportunities

The choice is yours

It is predicted a 36% growth in data scientist jobs from 2021 to 2031. As companies are driven by digital technologies and the internet, there is an increased dependence on data science professionals to grow their businesses. Almost every industry in the world has become reliant on data science professionals as the digital revolution has set in. Healthcare, finance, hospitality, education, banking, retail, real estate, and telecommunication are some of the popular industries in demand for data scientists and analysts.

Once you obtained a degree in Data Science, career opens up many pathways in industries all over the world. Here are just some of the career opportunities in data science:

Data administrator

Data administrators monitor, maintain and manage their organisation’s data, helping to control data assets and using different applications to ensure that data is processed correctly.

Data engineer

Data engineers create the architecture that stores a company’s data. In addition to determining how the company captures and stores data, data engineers design warehousing solutions and perform data modelling duties.

Data scientist

Data scientists extract raw data from a variety of sources using a range of tools including artificial intelligence and machine learning, which they then interpret into relevant information. They then present this information in an accessible way such as through reports and presentations.

Data analyst

Following data-gathering exercises and interpretation, data analysts use data to identify how an organisation can be more efficient via automation. They also track the organisation’s key performance indicators to determine how the business is performing overall.

Data architect

Data architects are responsible for developing a data strategy for the organisation. You must design the overall data infrastructure which includes data models and procedures and manage the data flow. You should oversee the entire lifecycle of a data operation and collaborate with other data science professionals to meet the company’s requirements.