Data Science

Study Data Science


Data Science is like a superhero, a force to be reckoned with, that has grown stronger over time. It started as a small field within statistics and has become a powerhouse, thanks to the explosion of data and the development of new technologies. Some of its recent victories include advancements in learning technologies like Turing Bletchley, TensorFlow and PyTorch. These wins have brought about significant changes in various sectors, much like a star player impacting their team.

To study Data Science is equivalent to engaging in a dynamic learning experience that leads to high earning potential in the IT industry. It opens doors to diverse job roles and equips students with in-demand skills. Furthermore, it provides a future-proof career path and the opportunity to drive innovation in the field. 

Moreover, Data Science is a rapidly growing field, ensuring students have a solid career in the IT industry. It also positions them at the forefront of technological innovation, allowing them to contribute to groundbreaking developments.

Data Science Course Overview

A Data Science course is an educational path that teaches key concepts of data analytics, machine learning, statistics, and programming languages like Python or R. This course helps students understand large datasets, find patterns, and build predictive models. It often includes practical work, like capstone projects, where students can apply what they’ve learned to real-world issues.

Data Science is rapidly becoming a powerhouse in the global arena. As the significance of data becomes increasingly apparent to businesses and industries, the need for data science experts is set to soar. Data Science is a fusion of skills including programming, statistics, machine learning, and data visualisation. It's not just a field, it's the future! These skills are highly sought after in the IT industry, making Data Science students valuable assets to any organisation.

Why Study Data Science Abroad?

Studying Data Science abroad can significantly enhance a student’s profile and increase their employability. Here are some reasons why studying Data Science abroad is a wise decision:

Global Exposure: Studying abroad provides students with a global perspective, exposing them to diverse cultures, ideas and ways of learning.

Quality Education: Many foreign universities offer excellent Courses in Data Science, Computer Science and Statistics. They also provide practical learning experiences through internships in high-tech companies.

Increased Employability: A degree from a well-known university abroad can make your university application stand out and attract several employers. It's not just about the quality of education you've gained, but also the vital skills you've developed by residing and learning in a foreign land. 

Networking Opportunities: Pursuing education overseas can enable students to establish a worldwide network of professional connections, a valuable asset for their upcoming careers. 

Innovative Pedagogy and Teaching Methods: Universities abroad often employ innovative teaching methods that focus on engaging students’ prior knowledge and skills. This approach not only enhances the learning experience but also prepares students for the global workforce by fostering critical thinking and problem-solving skills.

Recommended Universities


United Kingdom

New Zealand


  • University of Illinois at Chicago
  • Colorado State University
  • Illinois Institute of Technology
  • New Jersey Institute of Technology
  • Suffolk University
  • Kent State University
  • University of Mississippi

Top Universities for Data Science Courses

Studying Data Science at a reputed university can be a real boost for your career. When choosing a university, it's crucial to consider the curriculum's relevance, the faculty's expertise, the institution's prestige, the opportunities for practical experience, the strength of the alumni network and the tuition cost.

The below-tabulated universities fulfill the requirements of a well-established university and are at the top list to study Data Science courses abroad:


Undergraduate Course

Postgraduate Course

QS Rank 2024


Columbia University

Bachelor’s in Data Science

Master of Science in Data Science



University of Oxford

Bachelor’s in Data Science

Master of Science in Data Science



University of British Columbia

Bachelor’s in Data Science

Master of Data Science



University of Melbourne

Bachelor’s in Data Science

Master of Data Science



University of Auckland

Bachelor’s in Data Science

Master of Data Science


New Zealand

University of Dublin

Bachelor’s in Data Science

Master of Science in Data Science



Ludwig Maximilian University of Munich

Bachelor’s in Data Science

Master of Science in Data Science



University of Dubai

Bachelor’s in Data Science

Master of Science in Data Science



Requirements to Study Data Science Courses Abroad

Meeting the prerequisites for studying data science courses abroad is a critical step towards abroad education. These requirements are not just a formality but a measure to ensure that students possess the necessary foundational knowledge and skills. This preparation is vital for navigating the complexities of Data Science and for effectively contributing to the field during their studies abroad.

Undergraduate (UG) Courses:

  • Education Qualification: Completion of high school or equivalent with certain subjects such as Advanced Functions, Calculus and Vectors, English, and Physics. The specific subjects may vary according to the university.
  • Standardised Test Scores: Certain universities may require SAT or ACT scores as a part of their admission process. 
  • English Language Proficiency: If English isn’t your first language, you might need to submit scores from English proficiency tests like IELTS, TOEFL, or Duolingo. 
  • Other Requirements: Universities often look beyond academics, considering elements like extracurricular involvement, leadership roles, and other accomplishments.”

Postgraduate (PG) Courses:

  • Education Qualification: A bachelor’s degree or equivalent, preferably in Science, Computer Science, Statistics, Engineering, Economics, Finance, or a related field.
  • Work Experience: Some universities may require or prefer candidates with relevant work experience.
  • Standardised Test Scores: GRE scores may be required for admission to certain universities.
  • English Language Proficiency: Non-native English speakers are usually required to provide English language proficiency test scores such as IELTS, TOEFL, or PTE.
  • Statement of Purpose (SOP): An SOP outlining the candidate’s career goals and reasons for choosing the particular course and university is typically required.
  • Letters of Recommendation (LORs): LORs from professors or employers who can vouch for the candidate’s skills and qualifications are usually required.
  • Other Requirements: In addition to academic performance, universities often take into account aspects such as involvement in extracurricular activities, demonstrated leadership skills, and other notable accomplishments

Career Prospects and Scope of Data Science Abroad

Career Prospects for Data Science Abroad:

The field of Data Science is flourishing abroad due to high demand, robust technological infrastructure, strong academic focus and attractive remuneration. Diverse job roles across various sectors further enhance the career prospects and scope of data science abroad.

Here are some potential careers associated with Data Science:

Data Scientist: They analyse and interpret complex digital data to help companies make decisions.

Data Analyst: They translate numbers into plain English and help businesses understand how to make better business decisions.

Data Engineer: They prepare the “big data” infrastructure to be analysed by Data Scientists.

Machine Learning Engineer: They create data funnels and deliver software solutions.

Business Intelligence (BI) Developer: They design and develop strategies to assist business users in quickly finding the information they need to make better business decisions.

Data Architect: They create the blueprints for data management systems to integrate, centralise, protect and maintain the data sources.

Applications Architect: They track how applications are structured and identify the behaviour.

Scope of Data Science Abroad:

The scope of Data Science abroad is truly expansive and exciting. Regions such as the United States, Europe, the United Kingdom, South Africa, and China are at the forefront, offering abundant opportunities for Data Scientists. The UK has seen a nearly threefold increase in the demand for data science skills in the past three years. In the US, tech firms are expected to invest over US$2.3 billion by 2022 to attract talent. 

Furthermore, countries like Australia, Canada and France among others are also providing outstanding educational and career prospects in Data Science. So, whether it’s working with global tech giants, contributing to groundbreaking projects, or making impactful decisions, the scope of Data Science abroad is boundless and full of potential.

Best Study Destinations for Data Science

Here are some of the top destinations for studying Data Science:

  • United States: Housing esteemed institutions such as the Massachusetts Institute of Technology (MIT), Stanford University, and Harvard University. The USA has been reigning the 1st position for masters in data science.
  • United Kingdom: The University of Oxford and University College London are celebrated for their distinguished data science programs.
  • Canada: The University of Toronto stands as a beacon for data science education in Canada. 
  • France: With its rich mathematical heritage, is a prime location for pursuing studies in data science. 
  • Australia: Australia’s strong tech industry makes it a great place for data science education.
  • New Zealand: Emphasising tech innovation, New Zealand is carving a niche for itself as a rising hotspot for data science. 
  • Singapore: Singapore, the proud host of the National University of Singapore (NUS) and Nanyang Technological University (NTU Singapore), is renowned for its data science programs. 

These countries provide top-notch data science education and a wealth of opportunities for students to acquire hands-on experience.


Jobs and Salary for Data Science Course

Job Title

Average Salary (USD)

Average Salary (SGD)

Data Scientist


SGD 134,750.40

Machine Learning Engineer


SGD 151,159.64

Data Analyst


SGD 83,686.02

Data Engineer


SGD 123,341.64

Business Intelligence Developer


SGD 105,325.34

Data Architect


SGD 145,092.52

Applications Architect


SGD 152,434.38

study Data Science abroad is like embarking on a thrilling voyage into the future! It’s your chance to dive into the ocean of Big Data, surf the waves of AI and navigate the currents of Machine Learning. So, gear up for this exciting journey and let the world be your classroom in the realm of Data Science!

Ready to conquer the world of Data Science? Join hands with AECC, your trusted study abroad partner, and let’s turn your global education dreams into reality. The future of Data Science awaits you, let’s embark on this exciting journey together!

Frequently Asked Questions

Which country is best for a Data Science course?

The best countries for studying Data Science are the United States, United Kingdom, Australia, Germany and Canada.

We see your potential and help you to study Data Science Abroad that adds significant value to your future.

Our international education counsellors proactively guide and support the international students in choosing the top-ranking universities and the best courses to achieve their career goal. We make sure our students are provided with personalised support when applying to study Data Science abroad.

Speak with our experts

To get in touch with our expert team, simply leave your details below and we’ll call you for a FREE consultation.

Student Testimonials


Let's get social.

Get In Touch

Study Destinations

Australia                      USA

Canada                        UK

New Zealand              Ireland

Copyright © 2024 aecc. Useful Links | Glossary | Terms of Use | Privacy PolicySite Map
Get in TouchAECC SearchAECC StudentWhatsApp Us