Data Sciences And Big Data Courses Abroad

In today’s fast-paced digital world, data is everything. From your social media feeds to the way businesses operate, data is the new oil. That’s where the exciting fields of data science and big data come in. More students than ever before are choosing to study data science abroad or explore master's programs in big data at top-ranked universities. Big data and data science are also transforming industries like healthcare, finance, marketing, and tech around the world. 

Studying abroad gives you access to advanced research tools, diverse perspectives, and global job markets. Whether you want to pursue a bachelor's degree in data science or explore master's programs in big data, universities abroad offer specialised curricula, advanced labs, and strong industry links. The experience also gives you a chance to build global networks and gain cultural awareness skills which is highly valued by employers today.

Why study data science and big data abroad?

Studying abroad not only strengthens your technical skills but also helps you become adaptable and independent. Studying data science and big data abroad comes with many advantages.

• One of the biggest benefits is access to world-class education, including highly qualified faculty, well-equipped laboratories, and advanced technological infrastructure. 
• Another important benefit is the opportunity to learn with students from all over the world and work on solving real-world problems from a global perspective. 
• Many courses abroad offer students practical industry exposure through internships, co-op placements, and research collaborations with leading tech companies. 
• Graduates from renowned international institutions are highly employable and often have an edge in the global job market.

Best countries to study data science and big data

Here’s a quick look at the best places to study data science and big data abroad, and what they offer:

United States

In the United States, top universities such as Troy University, Arizona State University and New York Institute of Technology are known for their strong focus on computer science and data-related fields. 

• Tuition fees generally range from GBP 20,000 to GBP 40,000 per year. 
• One of the key advantages of studying in the US is the close relationship between universities and the tech industry, which means there are plenty of internship opportunities available.

United Kingdom

In the United Kingdom, universities such as Cardiff University and Sheffield Hallam University offer excellent programs.

• Tuition fees usually range from GBP 15,000 to GBP 30,000 per year. 
• UK universities often offer one-year master's programs that are tailored to industry needs.

Canada

Canada is another great destination, with universities like Trent University and Crandall University leading the way.

• Tuition fees in Canada range from GBP 12,000 to GBP 25,000 per year.
• Canada is also known for its generous post-study work visa policies and a strong reputation in artificial intelligence research.

Germany

Germany offers an affordable education, especially in public universities such as the Technical University of Munich and the University of Mannheim.

• Many programs are taught in English.
• Tuition fees is often zero to low for international students.

Australia

Australia also offers strong educational programs in this field. The University of Southern Queensland and the Australian National University are among the top choices.

• Tuition fees generally range from GBP 20,000 to GBP 35,000 per year.
• You can benefit from a strong local tech sector and work opportunities after graduation.

Recommended data science and big data courses

The programs below include modules in machine learning, artificial intelligence, cloud computing, and data visualisation, all of which prepare you for a wide range of roles after graduation. From foundational undergraduate degrees to research-intensive PhDs, there's something for everyone. These are some of the best data science and big data courses abroad.

Undergraduate (UG):

• BA Statistics and Data Science – University of Arizona, US
• BSc Digital Business & Data Science – UE - University of Europe for Applied Sciences, Germany
• Bachelor of Advanced Computer Science (Honours) Computing and Data Science – The University of Western Australia

Postgraduate (PG):

• MSc Security and Data Science – University of Exeter, UK
• MS Data Science – Pace University, US
• MSc Big Data Analytics: Applied Modelling and Quantitative Methods –Trent University, Canada

Doctorate (PhD):

• PhD Data Science and Systems Modelling – Abertay University, UK
• Doctor of Philosophy in Data Science and Analytics – Kennesaw State University, US

Eligibility and admission requirements

Undergraduate requirements:

To apply for an undergraduate program in data science or big data, you need to:

• Complete secondary education with high scores in maths and science
• Have IELTS/TOEFL scores for English proficiency
• Have a personal statement and letters of recommendation

Postgraduate requirements:

For postgraduate programs, you must have: 

• Relevant bachelor’s degree (e.g., computer science, engineering, statistics)
• GRE/GMAT scores (if needed)
• Statement of purpose and academic references

Doctorate requirements:

As requirements may vary based on the university, it is advisable to check the official admissions page for the latest information. You are often expected to:

• Have a master’s degree in a related field
• Submit a research proposal outlining your intended area of study
• Have previous research experience or publications which can strengthen your application.

Job opportunities in data science and big data courses

A degree in data science or big data can lead to a wide range of well-paying and in-demand jobs around the world. After graduation, you could land exciting roles like:

• Data Scientist
• Big Data Engineer
• Machine Learning Engineer
• Business Intelligence Analyst
• AI Researcher