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In today's digital age, data has become a powerful asset that drives decision-making processes in various industries. As organisations strive to gain a competitive edge, the demand for skilled professionals who can harness the power of data has soared.
Data analytics, the practice of analysing large sets of data to uncover insights and make informed decisions, has emerged as a critical field across the globe. This has led to a surge in the popularity of data analytics courses abroad, attracting students from around the world.
Data analytics courses offered abroad provide students with a comprehensive understanding of statistical methods, data mining techniques, machine learning algorithms, and data visualisation tools.
Data analytics courses abroad are designed to equip students with the skills necessary to gather, analyse, and interpret complex data sets in order to make informed business decisions. The courses are typically offered at undergraduate and postgraduate levels, catering to individuals with varying levels of expertise and experience.
Check the details of Data Analytics courses abroad, their fees, subjects, syllabus, top universities, etc.
In abroad, more than 400 universities offer 750+ data analytics courses abroad. Candidates can enrol in these courses after satisfying the criteria.
Below are the highlights of the Data Analytics Course to study abroad universities.
| Particulars | Statistics |
|---|---|
| Course Name | Data Analytics |
| Course Level | Undergraduate & postgraduate level courses |
| Total number of Data Analytics Course Universities | 400+ |
| Total number of Data Analytics Courses in abroad | 750+ |
| Top positions after Data Analytics Course | Data Engineers, Database Administrator, Machine Learning Engineer, Data Scientist, Data Architect, Statistician, Business Analyst, Data and Analytics Manager |
| Exams required | IELTS, TOEFL, PTE, GRE, Duolingo |
| Average Visa Cost for Data Analytics Courses Abroad | Depending on the Country |
| Scholarships | Data Lab Scholarship, Academic Excellence Scholarships for Onshore, ACM SIGHPC Computational & Data Science Fellowship, Jack Larson Data for Public Good Fellowship |
| Top Universities by Ranking | The University of British Columbia, Auburn University, University of Toronto, Technical University of Munich, The University of Melbourne |
Studying data analytics courses abroad provides numerous advantages. Some of them are given below.
The data explosion is transforming businesses. Businesses of all sizes increasingly anticipate that data-driven knowledge will assist their business decisions. Data professionals have a big impact on business strategy and marketing strategies.
It is noted that there are more than 50,000 positions on the market where applicants may apply.
There are many amazing career prospects for those in the data analytics course sector because of the growing demand for data professionals and the insufficient supply.
Almost no brand can be found today that does not have a social media presence, and soon every business will require data analytics specialists.
Prospects predict that data analytics experts make between £24,000 and £25,000 at the starting level. Salaries can increase to between £30,000 and £35,000 after a few years of experience, and high-level consultants and professionals may make £60,000 or more.
A job in many areas, including business intelligence, marketing, sales, finance, data assurance, data quality, and higher education, is an option because many businesses rely on data.
The majority of employees feel that their lack of decision-making authority contributes to job discontent; that is not the case for data professionals.
It is a highly gratifying job since you will play a special function inside the organisation and be a crucial component of corporate policies and future initiatives.
A career as a well-paid consultant for some of the largest companies in the world is also possible in data analytics. Most of the work is IT-based, so it can be done anywhere in the world with a strong internet connection. You now have the ideal chance to diversify your sources of income and ensure a healthy work-life balance for yourself.
The minimum requirements for taking data analytics courses abroad may vary based on the university and the level of study, such as bachelor’s and master’s degrees.
Normally, candidates for undergraduate programmes must have completed their senior secondary school and have a solid foundation in mathematics, statistics, and computer science.
A bachelor's degree in a relevant discipline is typically necessary for postgraduate programmes, and a competitive score on standardised exams like the GRE or GMAT (Graduate Management Admission Test). Universities may also consider a master's degree applicant's professional experience.
Besides this, all abroad universities want a statement of purpose, letters of recommendation, and test results for English competence.
Numerous prestigious colleges throughout the globe provide top-notch data analytics courses. Some of the most well-liked locations for doing data analytics courses abroad include the United States, the United Kingdom, Australia, Canada, New Zealand, and different European nations. Here are some renowned colleges for data analytics courses.
| University Name | State, Country | QS World University Rankings 2024 |
|---|---|---|
| Massachusetts Institute of Technology (MIT) | Cambridge, United States | 1 |
| University of Oxford | Oxford, United Kingdom | 3 |
| Harvard University | Cambridge, United States | 4 |
| UCL | London, United Kingdom | 9 |
| University of California, Berkeley (UCB) | Berkeley, United States | 10 |
| Princeton University | Princeton, United States | 17 |
| California Institute of Technology (Caltech) | Pasadena, United States | 18 |
| University of Toronto | Toronto, Canada | 21 |
| University of British Columbia | Vancouver, Canada | 34 |
| University of Washington | Seattle, United States | 63 |
| University Name | State, Country | QS World University Rankings by Subject 2023 |
|---|---|---|
| Massachusetts Institute of Technology (MIT) | Cambridge, United States | 1 |
| Carnegie Mellon University | Pittsburgh, United States | 2 |
| University of California, Berkeley (UCB) | Berkeley, United States | 3 |
| University of Oxford | Oxford, United Kingdom | 4 |
| Harvard University | Cambridge, United States | 5 |
| University of Toronto | Toronto, Canada | 6 |
| University of Washington | Seattle, United States | 7 |
| Princeton University | Princeton, United States | 8 |
| Georgia Institute of Technology | Atlanta, United States | 9 |
| Cornell University | Ithaca, United States | 13 |
| The University of Edinburgh | Edinburgh, United Kingdom | 15 |
| Imperial College London | London, United Kingdom | 16 |
| UCL | London, United Kingdom | 17 |
| California Institute of Technology (Caltech) | Pasadena, United States | 18 |
| University of British Columbia | Vancouver, Canada | 19 |
Data analytics courses cover various specialisations. Here are some well-liked data analytics programmes provided by international colleges.
Data Analytics
Big Data Analytics
Computer Science with Data Analytics
Data Science
Candidates can get admission in any specialisation to complete their BSc, MSc, MBA, ME, diploma and certificate course. It is important to check the course at your selected university.
The Data Analytics Course Syllabus may vary depending on the course level and type of course. Therefore, it is important to check the data analytics course syllabus provided by the university. Here are the common topics of data analytics courses, which are generally included in the syllabus.
| S. No. | Topics |
|---|---|
| 1 | Data Structures and Algorithms |
| 2 | Supply Chain Analytics |
| 3 | Probability and Statistics |
| 4 | Customer Analytics |
| 5 | Relational Database Management Systems |
| 6 | Retail Analytics |
| 7 | Business Fundamentals |
| 8 | Social Network Analysis |
| 9 | Text Analytics |
| 10 | Pricing Analytics |
| 11 | Data Collection |
| 12 | Data Visualization |
| 13 | Optimization |
| 14 | Statistical Analysis |
| 15 | Machine Learning |
| 16 | Forecasting Analytics |
| 17 | Simulation |
| Semester I |
|---|
| Statistical Methods |
| Probability & Stochastic Process |
| Linear Algebra & Linear Programming |
| Computing for Data Sciences using R, Python, and Java |
| Database Management – Relational and Non-Relational |
| Python Programming (Theory & Lab) |
| Semester II |
| Foundations of Data Science |
| Advanced Statistical Methods |
| Machine Learning I |
| Enabling Technologies for Data Science I (Theory & Lab) |
| Value Thinking |
| Elective Course |
| Semester III |
| Enabling Technologies for Data Science 2 (Theory & Lab) |
| Machine Learning 2 including Deep Learning |
| Data Visualization with Tableau |
| Modeling in Operations Management |
| Elective Courses |
| Semester IV |
| Internship based Project work |
| Semester I |
|---|
| Language - I |
| English - I |
| Programming in C |
| Programming Lab - C |
| Data Structures |
| Introduction to Linear Algebra |
| Environmental Studies |
| Semester II |
| Language - II |
| English - II |
| Programming in C++ |
| Internet Basics Lab |
| Discrete Mathematics |
| Value Education – Human Rights |
| Semester III |
| Java Programming |
| Java Programming - Lab |
| Database Management Systems |
| Data Communication & Networks |
| Data Visualization |
| Elective Course |
| Semester IV |
| R Programming |
| R Programming Lab |
| Big Data Analytics |
| Elective Course |
| Capstone Project Work Phase II |
| Semester V |
| Linux & Shell Programming |
| Linux & Shell Programming Lab |
| Project Work Lab |
| Elective Course I |
| Elective Course II |
| Elective Course III |
| Machine Learning |
| Extension Activities |
| Semester I |
|---|
| Accounting for Managers |
| Applied Statistics for Decision Making |
| Financial Analysis and Reporting |
| Macroeconomics in the Global Economy |
| Organizational Behavior |
| Research Methodology |
| Semester II |
| Applied Operations Research |
| Data Cleaning, Normalization and Data Mining |
| Econometrics |
| Foundation course in Business Analytics |
| Project Management |
| Spreadsheet Modeling |
| Semester III |
| Applied Business Analytics |
| Foundation Course in Descriptive Analysis |
| Foundation Course on Predictive Analysis |
| SAP FICO |
| SAP HCM |
| Stochastic Modeling |
| Semester IV |
| Ethical and Legal Aspects of Analytics |
| Healthcare Analytics |
| HR Analytics |
| Project Work |
| R Programming |
| Social and Web Analytics |
| Semester I |
|---|
| Foundation Course in Mathematics |
| Discrete Mathematics |
| Statistics I |
| Environmental Science |
| Communicative English I |
| Fundamentals of Computer & Problem Solving using C |
| R Programming |
| Semester II |
| Linear Algebra |
| Statistics II |
| Statistics III |
| Differential Equations & Complex Variable |
| Introduction to Computer Organization |
| Data Structure & Algorithms |
| Introduction to MATLAB in Data Analysis |
| Semester III |
| Numerical Analysis |
| Data Preparation & Data Cleaning |
| Database Management Systems |
| Data Warehousing & Data Mining |
| Operating Systems |
| OOPS using Python |
| Community Connect |
| Semester IV |
| Text Analytics |
| Regression, Time Series, Forecasting and Index Numbers |
| Multivariate Analysis |
| Statistical Inference |
| Recommender Systems |
| Data Visualization |
| Semester V |
| Statistical Analysis |
| Data Scientist Toolbox |
| Machine Learning |
| Statistical Simulation |
| Operational Research |
| Elective - I |
| Semester VI |
| Deep Learning |
| Big Data Analytics |
| Elective - II |
| Elective - III |
| Capstone Project |
| Research Report Writing & Presentation |
Below, you can check the data analytics subjects that are important to get good knowledge.
| Subjects | Topics |
|---|---|
Data Structure and Algorithms |
Array, Iteration, and Invariants List, recursion, stacks, and queues Efficiency and complexities Trees Hash Tables Binary search trees Searching Sorting |
Probability and Statistics |
Probability models Random Variable and distribution Model Checking Relationship among variable Sampling Distributions and Limits Statistical inferences Expectations Optimal Inferences Bayesian Inferences |
Business Fundamentals |
Teamwork in Business The Foundations of Business Ethics and Social Responsibility Structuring organizations Motivating Employees Managing Human resources Economics of Business Operations Management |
Text Analytics |
Natural language basics Processing and understanding text Text Summarization Text Similarity and Clustering Text classification Semantic and Sentiment Analysis |
Data Collection |
Survey Sampling Observational result Statistical Techniques Analysis of Unstructured Data Extracting and Presenting Statistics |
Data Visualization |
Java CSS Customized geographic map Creation of Bar Chart, Scatter Plot |
The cost of studying and living for data analytics courses overseas might change based on the nation and institution. Here is an average Data Analytics Course Fee at well-known study locations.
Tuition Fees - $20,000 to $40,000 per year for undergraduate programs and $20,000 to $30,000 per year for postgraduate programs.
Living Costs - $8,000 to $18,000 per year.
Tuition Fees - £15,000 to £35,000 per year for undergraduate & postgraduate programs.
Living Costs - £10,000 and £13,000 per year.
Tuition Fees - AUD 25,000 to AUD 45,000 per year for undergraduate programs, AUD 34,000 to AUD 45,000 per year for postgraduate programs.
Living Costs - AUD 21,041 per year.
Tuition Fees - CAD 15,000 to CAD 25,000 per year for diploma courses, CAD 25,000 to CAD 40,000 per year for degree programs.
Living Costs - CAD 10,000 and CAD 15,000 per year.
Tuition Fees - NZD 25,000 to NZD 45,000 per year for undergraduate programs, NZD 30,000 to NZD 45,000 per year for postgraduate programs.
Living Costs - NZD 20,000 per year.
Tuition Fees - EUR 300 to EUR 4500 per year for public universities and EUR 5,000 to EUR 10000 for private universities.
Living Costs - EUR 6,000 to EUR 8,000 per year.
Note - These numbers of data analytics course fees and living costs are approximations and may change depending on the university, programme, and region.
The cost of a student visa for data analytics courses abroad varies depending on the country and the course duration.
United States: Currently, $350 is required to apply for an F-1 student visa in the USA. To obtain a USA student visa, there is a $185 SEVIS fee (Student and Exchange Visitor Information System).
United Kingdom: Depending on the region, a Tier 4 student visa in the UK has a different application price. The cost for applications submitted outside the UK is roughly £348 under the present criteria. The Immigration Health Surcharge (IHS), which is required of all international students, costs £470 annually. It is required of all international students.
Australia: A student visa in Australia costs AUD 715 for the standard application price. Families included in the application may be subject to additional fees.
Canada: A study permit application in Canada costs CAD 150. There could also be CAD 85 in biometric costs.
New Zealand: Depending on the applicant's place of citizenship, the application fee for a student visa in New Zealand varies. The charge range is NZD 375 according to the government's requirements.
Europe: Universities often demand a student visa to study in European countries. A student visa application cost ranges around from EUR 90 to EUR 150. Visa charges and criteria, however, might differ between European nations.
Numerous institutions of higher learning and organisations provide financial aid expressly for overseas students doing data analytics courses abroad. The financial stress brought on by tuition fees and living expenses might be lessened with the aid of these scholarships.
Some popular scholarships for data analytics courses in abroad are as follows –
Data Lab Scholarship
Academic Excellence Scholarships for Onshore
ACM SIGHPC Computational & Data Science Fellowship
Jack Larson Data for Public Good Fellowship
Federal government scholarship
Additionally, various universities abroad often have their scholarship programs, so it is advisable to research and explore scholarship opportunities or talk to our counselors about it.
Graduates who complete data analytics courses from abroad may anticipate bright employment prospects and lucrative salaries. The income potential may differ depending on the job function, experience, location, and industry. The following broad overview shows the salary structure at well-known study locations.
| Country | Entry-level Data Analyst | Data Scientist | Data Analytics Manager |
|---|---|---|---|
| United States | $60,000 to $80,000 per year | $90,000 to $130,000 per year | 100,000 to $150,000 per year |
| United Kingdom | £25,000 to £35,000 per year | £40,000 to £60,000 per year | £50,000 to £80,000 per year |
| Australia | AUD 50,000 to AUD 70,000 per year | AUD 80,000 to AUD 110,000 per year | AUD 100,000 to AUD 150,000 per year |
| Canada | CAD 50,000 to CAD 70,000 per year | CAD 80,000 to CAD 110,000 per year | CAD 90,000 to CAD 130,000 per year |
| New Zealand | NZD 50,000 to NZD 70,000 per year | NZD 70,000 to NZD 100,000 per year | NZD 80,000 to NZD 120,000 per year |
| Europe | EUR 55,000 – EUR 60,000 per year | EUR 65,000 to EUR 75,000 per year | EUR 80,000 to EUR 1,00,000 per year |
Studying data analytics abroad offers students a unique opportunity to gain a global perspective, access top-tier educational institutions, and develop the skills necessary to thrive in the data-driven world. With diverse study destinations, a variety of courses, and promising career prospects, pursuing data analytics abroad can pave the way for a successful and rewarding professional journey.
We have provided sufficient information about the best data analytics courses abroad.
If you are unsure or want deeper insight, we encourage you to speak with our expert counsellors at Meridean Overseas Education Consultants (MOEC).
If you cannot travel to our offices, we offer online counselling services via our website. Our dedicated counsellors will provide the best guidance regarding your application to study abroad at universities. Don’t hesitate to contact us at application02@meridean.org or call us at 1800-1230-00011.
If you found this information useful, please share it with your friends looking to study abroad.
Students often require a solid foundation in mathematics, statistics, and computer science to study data analytics overseas. For postgraduate programmes, additional requirements can include mastery of a programming language, familiarity with data analysis software, and a bachelor's degree in a related discipline.
The language requirements differ by nation and organisation. IELTS or TOEFL exams for English ability are frequently recognised, and some colleges want interviews or extra language testing.
International students are frequently permitted to work several hours per week while studying in many countries. However, confirming the country's unique rules and limitations is crucial before studying there.
Data analytics specialists are in great demand across various sectors, including consulting, finance, healthcare, technology, and marketing. Graduates can pursue careers as data scientists, engineers, managers, and analysts in business intelligence and analytics.
The data analytics course length depends on the degree of study. The postgraduate programmes might last anywhere from one to two years, and undergraduate programmes normally last three to four years.
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