Study big data abroad

Big data is a fast-paced and rapidly-expanding field that deals with the management of huge amounts of data. It’s a vast subject area that combines elements of mathematics, statistics, computer science, and software programming.

As a big data student, you’ll learn how to collect, organize, store, analyze, and interpret enormous data sets. The trends and patterns you identify will be vital for informing business practices. You’ll also develop your technical understanding and practical skills by taking classes in coding, data quality, web analytics, and software development.

In our technologically-driven world, advances in big data are always being made. Studying abroad is a priceless chance to see how organizations across the globe approach the harnessing and processing of data. You’ll be exposed to new software tools and data-handling techniques that will take your employability to the next level.

BSc programs in big data are normally studied over three years, or four years if you complete an optional sandwich year. Industry placements are a great opportunity to try out different career pathways, gather real-world experience, and build a professional network.

If you’re dreaming of studying in the US, it’s worth remembering that most undergraduate degrees follow the four-year liberal arts model. Before majoring in big data, you’ll need to take two years of general education classes.

You’ll find most big data programs offered at the master’s level. To be accepted onto these programs, you must already have a relevant bachelor’s degree. MSc courses can be studied over one or two years, depending on whether you enroll as a part-time or full-time student.

Some universities offer PhD opportunities for students looking to attain the highest qualification possible. These doctorate programs usually take between four and five years, but sometimes longer.

A mixture of theoretical and practical teaching methods are used on big data programs. Your timetable is likely to feature lectures, seminars, and tutorials, as well as hands-on workshops and computer laboratory sessions. The list below outlines some core units that are common to most programs:

• Fundamentals of mathematics
• Statistical methods for data analysis
• Introduction to big databases
• Big data analytics
• Data mining
• Representing and manipulating data
• Commercial and scientific applications

Due to the recent implementation of international data protection laws, the global demand for big data specialists has rocketed. With the industry only expected to grow further in the coming years, there’s never been a more exciting time to be a big data graduate.

Almost every type of business and organization collects personal details from consumers and supporters, so you could apply your expertise to any sector you like. Here are some of the career paths you might consider pursuing:

• Data analytics manager
• Data scientist
• Data strategist
• Data visualization engineer
• Database administrator
• Database developer
• Statistician
• Cybersecurity expert

With so many graduate destinations to choose from, it can be difficult to know which direction to head in. Most universities have a careers office where staff can help you figure out your ambitions and land work experience with relevant companies.