Studying big data analytics abroad
What is big data analytics?
Big data analytics is the study of large and complex data sets to uncover patterns, trends, and insights. It involves using tools from statistics, computer science, and machine learning to analyse information that cannot be handled by traditional data-processing methods. This field helps businesses, governments, and organisations make better decisions, predict trends, and solve complex problems.
The subject draws on knowledge from computer science, mathematics, statistics, and business. As a big data analytics student, you will learn how to collect, clean, and analyse data, and how to use analytical tools to turn information into actionable insights. Your studies might take place in computer labs, classrooms, and through real-world projects.
Why study big data analytics abroad?
Studying big data analytics in another country allows you to see how global companies and organisations use data to make decisions. You might work on international case studies or projects that explore real-world business problems. Experiencing data analytics in different markets gives you perspectives that you cannot get from books alone.
By studying abroad, you also gain skills in working with people from diverse backgrounds. You will build professional networks with researchers, companies, and data scientists from around the world.
What you will study
Big data analytics degrees often combine theory with practical experience. Key areas of study can include:
- Data Mining and Machine Learning – discovering patterns and building predictive models
- Data Management – learning how to store, process, and secure large datasets
- Statistics and Probability – analysing data using mathematical tools
- Business Analytics – applying data insights to improve business performance
- Programming and Software – using tools like Python, R, SQL, and Hadoop
- Data Visualisation – presenting data in clear, understandable ways
- Research and Project Work – collecting, analysing, and presenting data findings
Many programs include internships, lab projects, and collaborations with tech companies or research institutes.
Related subjects you might also like:
- Artificial Intelligence
- Computer Science
- Statistics
- Information Systems
- Data Engineering
Accreditation
At undergraduate level, you may graduate with a Bachelor of Science (BSc) in Big Data Analytics, Data Science, or a related field such as Computer Science or Information Systems. Some universities offer a Bachelor of Arts (BA) with a focus on analytics in business or social sciences.
At postgraduate level, options include a Master of Science (MSc) or Master of Research (MRes) in Data Analytics, Business Analytics, or Artificial Intelligence. Specialisations may focus on areas such as machine learning, data engineering, or predictive analytics. A PhD is usually required for research or academic careers.
In some countries, professional certification is available for data analysts and data scientists through recognised industry bodies.
Careers
A degree in big data analytics can lead to careers in technology, finance, healthcare, government, and business. Graduates may work as data analysts, data scientists, business intelligence specialists, or machine learning engineers.
Others may become data consultants, helping organisations to improve performance, manage risk, or make strategic decisions. Research roles are available in universities, tech labs, and global think tanks.
Big data analytics graduates can also work in project management, policy analysis, or data journalism. The skills you develop are in high demand worldwide, giving you opportunities to work on projects that have real impact in technology, business, and society.