Since the millennium, the growth of tech-based careers has been exponential, with opportunities in areas such as data analytics, cloud computing, machine learning and artificial intelligence (AI) at the forefront of this growth. In recent years, and particularly considering the global coronavirus pandemic, demand for individuals with such skills has increased to meet the needs of digitally transformed sectors and industries. But which are the top tech careers of the future? We look at the top tech careers that are redefining the industry. First though, let’s talk about how you can pay for your studies.
Getting Your Degree and Paying for It
For anyone who wants to move into a tech-based career, having the relevant qualifications is a must. This means that you’ll need to consider the costs that accompany your required college degree. There are several ways to fund your studies, including taking out student loans, which can be accessed either via the government or via a private lender, in order to pay for your college tuition and other expenses. Invest in yourself now and reap the rewards of an exciting, engaging and financially rewarding career in the future.
Cloud Engineer
As a result of the global pandemic, many of us have been forced to work at home or remotely. During this time, cloud computing has become the mainstay of many businesses and organizations and so cloud engineers with the ability to implement infrastructures, migrate processes and perform cloud-related tasks have been in great demand. The minimum requirement for such positions is usually a postgraduate degree.
Data Scientist
Think of all the data that is collected every day and you’ll begin to understand the importance of the role of the data scientist. As a data scientist, you’ll be compiling, processing, analyzing and presenting data to inform decisions, and as there are opportunities in almost every industry and sector, the technical world really is your oyster. You’ll need a solid grasp of data science and analytics and a post-graduate degree in data science, computations and applied mathematics or e-science to secure a job in this field.
Machine Learning Engineer
If you have a passion for computer science and want a career in an extremely fast-moving industry, you may want to consider a job as a machine learning engineer. By utilizing big data to create complex algorithms, machine learning engineers can program machines such as digital voice assistants or driverless cars to perform tasks in the way that a human would. Perhaps the most exciting part is that by implementing programs that utilize image recognition, economic forecasting and natural language processing, the engineers can program the machines to learn and improve without human intervention. To become a machine learning engineer, you will need to be educated to master’s degree level and have a background in computer science and artificial intelligence.
UX Designer
As more and more businesses promote and sell their products and services via digital platforms, it’s become necessary to ensure that the user experience is as seamless as possible. An a UX Designer (User Experience), it will be your responsibility to ensure this happens. Minimum requirements are an undergraduate degree in Computer Science although many companies will require you to be educated to post-graduate level.
Robotics Engineer
Robotics Engineers must be comfortable working in a fast-paced environment as robotics continues to evolve in sectors such as the automotive industry, manufacturing, mining, and healthcare. It’s a highly technical job that entails constant analysis, reevaluation, configuration, testing and maintenance of prototypes, components and software and as such requires extreme patience and the ability to think rationally. To work as an engineer, you will need a master’s in computer science or robotics.
