Study Artificial Intelligence abroad
Artificial Intelligence (AI) continues reshaping the world. From improving people’s lives to optimising business outcomes, studying Artificial Intelligence can help you make your mark on the world.
Demand for AI skills has doubled over the past three years
The AI job postings have increased by 119%
The average salary for AI professionals is USD$105,669
Computer & IT jobs are expected to grow by 11% in the next ten years
About Artificial Intelligence
Is Artificial Intelligence right for me?
Typically, Artificial Intelligence professionals will work in a start-up or corporate environment, working standard hours between 9am and 5pm. If you’ve got a big deadline or product launch coming up, you may need to work overtime to ensure you meet your goals.
Artificial Intelligence study options and costs
Most Artificial Intelligence professionals have an educational background in mathematics, statistics, engineering or computer science, so a degree in one of these subjects could be a great starting point. A degree like this can cost around AUD$34,400 per year in Australia, CAD$38,000 in Canada or USD$50,000 in America. Given the high salaries and ongoing growth of the Artificial Intelligence field, investing in a solid education is sure to pay for itself!
Career pathways for Artificial Intelligence graduates
Machine Learning Engineer
The most common role within Artificial Intelligence is that of a machine learning engineer. These AI professionals are responsible for building and managing machine learning project platforms, applying predictive models and language processing to crunch through massive datasets.
Data scientists collect, analyse and interpret datasets by using predictive analytics and machine learning. These professionals also help to develop algorithms that make it easier to collect and clean data, getting it ready for analysis.
Big Data Engineer or Architect
Big data engineers or architects are some of the most highly-paid AI professionals, earning a median salary of USD$151,307. As a big data architect or engineer, you’ll play a vital role in developing the environment for business systems to collect data and communicate with each other. Unlike data scientists, big data engineers and architects are more heavily involved with planning, designing and developing big data environments.
If you have more of an interest in robotics and machines, becoming a robotics engineer could be the avenue for you. These professionals bridge the gap between mechanics, electronics, computer science and psychology to design plans for effective robots. You might even be involved in designing the machines that actually put together robots.
At University of Suffolk
Ipswich , United Kingdom