The United States of America, according to recent university rankings, has emerged as a leading country known for its quality education. It is called the Holy Grail of international higher education. The country has, somewhat, a special allure and has always been drawing talented students like a magnet. Studying in an American environment allows for invaluable personal and professional growth, and opens up an infinite number of career opportunities after graduation.
One of the main reasons to choose the United States to study is the country's reputation for renowned higher-education programs. In the said country, approximately fifty percent of the world's top 50 universities are located. They consist of small class sizes, highly accredited professors, and advanced technology and research capabilities.
The United States is considered as the leader in many areas of technology and research, also benefitting from generous funding and offering support to international Ph.D. students. Even undergraduates and postgraduates have the opportunity to attend a Bachelor's and Master's program that involves research.
Apart from studies, University campuses in the United States have a life of their own, and they are like small student towns and encouraging students to socialize, interact, and make friends. America also has a multicultural environment, and American universities support cultural diversity, and in this respect, organize various social and cultural activities. Graduating from an American University also offers a competitive edge once you enter the job market. Interacting with people with diverse backgrounds while studying in the USA enhance one's ability to interact with people from other cultures and analyze issues with a global perspective.
The university or college that one chooses to go to can have a significant impact on the rest of one's life that's why it is better to have some research about the universities and their rankings.
In the United States, California is the most represented state among the best US universities, with 15 universities, followed by 13 universities in New York, 12 universities in Texas and ten universities in Massachusetts. The institutions at the very top of the ranking are concentrated in these aforementioned popular destinations that are well known for their higher education opportunities.
According to the QS World University Rankings 2019, following are the top 15 universities in the United States:
The United States of America has always been a top choice destination for study abroad students from around the world because of its diverse programs offered by different universities. According to Istudentglobal's research, the top 10 most popular majors in the United States are as follows:
The United States offers some of the best undergraduate and postgraduate degrees in the world, but also potentially high living costs one should know.
Though, living costs in the United States vary a lot because of the large territory the country covers but estimated the living cost for the US is around $10000 to $12000 per year, which averages around $700 to $1000 per month. It includes accommodation costs, travel, food, textbooks, weather-appropriate clothing, and entertainment expenses as well. Generally, living in urban areas (in or near a big city) is more expensive than living in smaller towns or suburban areas. Students should be able to meet the costs mentioned above while they are studying in the US. Prices may increase by about 5% to 7% per year due to inflation and other external factors.
In the United States, campus jobs are customized in such a manner that they adhere to all the visa guidelines. These jobs are regarded as a path to earn extra cash and interact with all the Students. In a sense, part-time jobs give students a complete experience of the student culture and life prevalent in the country. Following are the ten most popular on-campus jobs that a student can take up at American universities:
In literal terms, Data Analytics or Data Analysis means to analyse the data and produce or interpret results. Data analytics refers to the technological field where the data that is generated is extracted, enhanced and analysed using quantitative and qualitative techniques and thereby interpret results. Such results are important in various fields of Management like decision making. In simple words, data analytics simply involves the processing of the already available or generated large amounts of data by analysing their pattern or trend and deriving meaning for better future results. It is a majorly a field of Science and Engineering or Statistics, but is widely recognised as mandatory to-have skill as required by every manager in any industry. The study includes the basic skill set requirement of Mathematics, Statistics, Quantitative Techniques and some basic knowledge on Programming languages like R, Python, SQL, Scala, etc.
Scope of Data Analytics
The amount of data that is created each day through the world network is enormous. With the huge amount of data that is being generated throughout the world, which is termed as ‘BIG DATA’, the field of Data Analytics has grown to include wide scope. New age technologies like Artificial Intelligence, Machine-learning, etc. are to a great extent dependent upon the results obtained through Data Analysis. For example, in the creation of a humanoid (robot like humans), it is the role played by data analytics, used in the artificial intelligence, that predicts the response to be delivered by the robot to a particular stimulus. The various decisions made in the management of different projects depends upon the past or previously available data. This data is implemented to produce useful meaning or solution to the problems. Thus it is evident that Data Analytics has wide scope almost all domains or industries.
Subjects based on which Data Analytics relies
The role of Data science has expanded to a huge scale today. Data collection is the initial process in Data Analytics. This is primarily the role of Data Scientists who identify and gather information relevant to their application and then work with IT professionals or data engineers to combine and use the data. This data is transformed into a common format to be fed into analytics systems such as Data warehouses, Hadoop cluster, NoSQL database, etc. After this, certain programming languages are used to design an analytical model. Thus we see that the field of Data Analytics basically involves the knowledge and application of the following subjects and skills–
Mathematics – especially probability and data projection
Programming languages such as R, Python, SQL, etc.
Data gathering skills
Types of Data Analytics courses and Applications
The two basic domains of Data analytics can be categorised as Exploratory Data Analysis (EDA) and Confirmatory Data Analysis (CDA). EDA deals with determining the data patterns, trends and relationships in the available data collection. Its aim is to perform a detective work. CDA on the other hand deals with deriving interpretation or checking if the validity of a hypothesis holds or not.
Another classification of Data Analysis could be based on Quantitative or Qualitative techniques used in the analysis. Quantitative technique involves more of statistical solutions and data, whereas Qualitative technique includes more of interpretative solutions even based on non-statistical data like images and videos, etc.
Apart from the above, Data Analytics is studied as part of Management subject called as Business Analytics. Business Analytics involves the usage of the basic analytical principles and tools to derive and predict the best decisions to be taken in business. The role of BA is another predominant role of the century aspired by the youngsters in the world.
Benefits of Studying Data Analytics abroad
The number of Indian students studying in the US, especially in the field of Science and Engineering has declined to some extent as a consequence of the Visa-tightening norms by the Trump-administration. American universities find it difficult to include diversity in their classroom programs. The ‘USA Today’ report declared a 6 percent decrease in the international graduates in 2016-17. With this on one hand, and the growing demand for the role of Data related job-roles on the other, there is a dearth for students graduating from these degrees. Hence taking up courses in Analytics still holds a great deal of opportunities for the aspiring students. Hence though Big-Data analytics is still a demanding job profile, there is still a gap in the availability of the suitable workforce skilled in the stream. It is mostly the post-graduate programs such as degrees or certificate programs that are more popular and in higher demand among the students wishing a career in the field.
Having said this, one of the major hindrance or drawbacks to the course on Data Analytics could be the high cost of doing the course abroad. But taking up short-term specialization courses like Certifications could help the students looking for the study abroad. Moreover, considering the ROI of the program, it is a positive outlook that the study provides.
Top Universities and courses in Data Analytics (by ranking)
Full Time- 1 year
Spatial Data Science and Visualisation MRes - Full Time - 1 year
Spatial Data Science and Visualisation MSc Full Time - 1 year
Spatio-temporal Analytics and Big Data Mining MSc - Full Time - 1 year
Web Science and Big Data Analytics MRes - Full Time - 1 year
Web Science and Big Data Analytics MSc - Full Time - 1 year
Carnegie Mellon University - Master of Science in Public Policy and Management - Data Analytics Track - Full Time - 2 years
London School of Economics and Political Science, University of London - Data Science MSc - Full Time - 12 months
King's College London, University of London – Data Science MSc - Full Time - 1 year
Bachelor of Applied Data Analytics - Full Time - 3 years
Bachelor of Applied Data Analytics (Honours) - Full Time - 1 year
Graduate Diploma of Applied Data Analytics - Full Time - 1 year
Master of Applied Data Analytics - Full Time - 1.5 year
Job Prospects and Future Opportunities
As discussed before, we come to understand the various demanding job prospects in the field of Data Analytics. According to recent reports, Big-Data is growing at a very high speed, with nearly 2.3 trillion GB of data produced every day, and the data galaxy doubling every couple of years. With such a huge generation of data, there is huge demand for people skilled in the Data Analytics field to analyse and process data to produce the desired results in any field. There are a plethora of opportunities and job roles offered by doing courses in Data Analytics. Some of them are as follows –
Statistician role of Data Scientist
Mathematician role of Data Scientist
Data Engineers (More of technical profile)
Machine learning scientist
Actuarial Scientist – in the field of Finance
Business analyst (Managerial role)
Software Programming Analysts
Spatial Data Scientist
Digital Analytic Consultant
According to the US Bureau of Labor Statistics, recent reports also convey that there will be a job growth by 4.4 million in the Big Data field by 2024. This is aided by the evident skill-gap in the field. A report in 2014 showed that 41 percent of businesses faced major challenge of integrating big data into their operations due to the lack of skilled candidates.
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