Data Science is an important aspect of various industries it plays a pivotal role in understanding big data that can be effectively used in businesses or organizations with the scope of communication and programming. Data science deals with both structured and unstructured data which are sorted by the experts in the field forming a product or explanatory analysis. The field of Data Science has improved the technology and ease to connect and communicate.
Data Science is restructuring big data with analytical, technical and scientific skills. Learning a Masters in Data Science abroad can equip you with several tools like algorithms, machine learning principles, and statistics acquired by data analysis which are commonly used for businesses.
The role and responsibilities of data scientists include predicting the pattern and analyzing the data that can be used by businesses and organizations to develop or improve their income. These prediction and analysis patterns with the help of data science have resulted in better understanding for business or product selling in organizations, leading to an increase in the number of individuals opting for a masters in data science abroad
Masters in Data Science is a postgraduate course that studies scientific, statistics, processing, and system methods to extract information acquired through structured and unstructured data. The course is designed for students who are keen to work in the data scientist teams that work on the interpretation of data through various tools and processes.
Big Data Analysis
Data Systems and Processing
Computing in Python
Business Analytics and Data Mining
Entrance Exam: GRE and GMAT (depends on the specific university)
Bachelor’s degree from a relevant university
MS in Data Science abroad is pursued by over 90% of individuals working in this field as the field requires explicit understanding of the methods, modules and processes of the career. Masters of Data Science course is widely chosen by Indian students as the scope of learning, growth and career is vast. MSc Data Science or MS Data Science is the most common program offered in the universities.
|Cost of study|
|Country||Tuition Fee (Range)|
|United Kingdom||USD 24,000 – USD 31,880|
|USA||USD 18,000 – USD 40,000|
|Canada||USD 17,000 – USD 31,000|
Individuals choose to learn this course abroad and numerous countries offer this program with effective and reliable knowledge for the future. However, the best suited countries are United States of America, Australia, Canada, Germany and the United Kingdom. Part time, Full time and online Masters in Data Science programs are offered abroad.
USA is the most famous destination for pursuing MSc in Data Science. The country has several top ranked universities who are well-acclaimed for the knowledge provided to the students. Another reason for individuals choosing to pursue Masters in Data Science in the United States are the plentiful job opportunities and the leading lifestyle. Masters in Data Science New York programs, MS in Data Science in California, etc. are some area specific options for pursuing this program. The duration of the Masters in Data Science in USA is 1 or 2 years.
The eligibility criteria for Masters of Data Science programs in USA include English Proficiency test IELTS or TOEFL scores are accepted. Entrance exam GRE scores are not a mandatory requirement for every university however some universities may ask for the results as a part of their requirements. Individuals are advised to approach universities for detailed information regarding prerequisites.
MS in data science in USA fees are considerably steep. The living expenses in USA are also considerably high however students can manage these expenses by applying for scholarships. Endowment opportunities for MS programs are available both on generic and university based financial aid programs. But since, acquisition of scholarship amount doesn’t usually cover all the expenses, individuals can opt for education loans. You learn the detailed procedure of applying for student loan here.
Masters in Data Science in Australia is a highly valued and one of the destinations where the employees of this sector are highly paid. MSc in Data Science courses are offered in several universities of Australia and many international students choose to study this course in this country. Australia is of the primary locations for technology and data driven courses. The duration of MSc in Data Science in Australia ranges from 1.5 years to 2 years.
The eligibility criteria for Masters of Data Science courses in Australia include English Proficiency test IELTS or PTE scores are accepted. GRE scores are not a mandatory requirement for studying Data Science in Australia. To learn about secondary requirements individuals are advised to visit the university website.
MS in Data Science Australia fees is cheaper compared to USA. Scholarship opportunities are also provided for international students that can applied through their programs. Education loans for these courses are provided too, so individuals can approach banks institutions for financial assistance. Most bank loans cover all basic expenses of studying abroad.
Masters in Data Science in Canada are offered at several top ranked universities. Indian students approach Canadian universities quite often for its reliable colleges and institutions along with favourable student facilities. Canada also has numerous job opportunities after completing the course. The additional benefit of studying in Canada is that Permanent Residency visas that can be acquired with an easy process making the settlement chances simpler for individuals. The duration of Masters in Data Science in Canada is 1 to 2 years.
The eligibility criteria for MS in Data Science in Canada include English proficiency test, IELTS or TOEFL scores some universities might require GRE as a mandatory prerequisite. Secondary requirements will be mentioned on the university website if not, one can contact the University for Detailed Information.
The tuition fee for MSc in Data Science in Canada is cheaper than most Tier 1 countries located outside Europe. Living expenses in Canada is also affordable compared to other countries. Education loans are also provided for this course. Endowment or Financial Aid Assistance programs are also given for international students.
Germany is undoubtedly one of the desirable destinations for studying Data Science or Engineering related programs. The country has several public and private universities offering this course for international students. The duration of Masters in Data Science in Germany is 1.5 or 2 years.
The eligibility criteria for German based universities for Data Science post graduate programs include English proficiency test, IELTS or TOEFL scores. GRE is not required in the universities of Germany. Summer and Winter applications are accepted.
The most exciting and best part of Germany is that it is the cheapest country to pursue higher education. Several public universities in Germany offer their courses under no tuition fee charges although because of this favourable conditions many students approach Germany for education. Due to these circumstances, universities in Germany are extremely competitive. Living expenses in Germany are also affordable. Student loans can also be applied for financial assistance for basic expenditure. The competitive and broad knowledge also makes Masters in Data Science worth it.
UK has some of the best known universities in the world and is considered as one of the best destinations for Data Science Masters in Europe. Several institutes and colleges in the United Kingdom offer Masters in Data Science programs. The extensive amount of knowledge helps students prepare for a career in Data Science with effective results.
The eligibility criteria for post graduation in Data Science include English proficiency test, IELTS or PTE scores. GRE is not a mandatory requirement in United Kingdom.
Tuition fee for the course of MSc Data Science ranges and differs from university to university, the fees for the course is average priced. Living expenses in the UK are considerably high, individuals can fund their expenditure by applying for education loans that cover most of the basic expenses.
Columbia University, USA
New York University, USA
University of Washington, USA
RMIT University, Australia
University of Technology Sydney, Australia
University of British Columbia, Canada
University of Western Toronto, Canada
Technische Universität Dortmund, Germany
Hochschule Darmstadt University of Applied Sciences, Germany
Imperial College London, UK
University College London, UK
University of Warwick, UK
Data Analyst Data Engineer
Deep Learning Engineer
Machine Learning Engineer
Masters in Data Science salary packages are more than just decent. Studying abroad definitely adds an importance to the knowledge therefore leading to better scope and growth career and knowledge expansion wise.