Masters in Data Analytics Rankings
What is data analytics?
Businesses in a day work collect a lot of data related to sales, finances, purchasing goods etc. This data is important information as it could give important insight into the current progress of the company. Analysis of the collected data can also help in creating future business models for the betterment of the company.
The study technology and programs which can help individuals in analysing the enormous amounts of data are called data analytics. Though it is a new form of study, individuals in businesses have been doing data analysis for quite some time. However, as businesses grow so does the size and complexity of the data that they collect. In recent times, programmers have been able to develop software which can go through all of this data with ease. A data analyst is taught the skill to use these software's and interpret the output to create a report summarising the analyses.
In a market today where the competition is strong, with new start-ups popping up every now and then, it is important to have a professional on-board having the tools to monitor market trend shifts. Having studied these, these individuals can provide help in the form of suggestions in the changes to be made in the product/services provided by the company.
As Masters in Data Analytics is a respected skill and requires the best training possible, it is necessary to know the best universities out there which can help one become a sound professional. What is to follow is a description of the benefit of data analytics, and then a list of the top universities to pursue data analytics.
Benefits of Masters in data analytics
Data analytics is a demanding course which asks a lot of time and focus from students who decide to opt for it. The pay-off for all the hard work, however, is very fruitful. Following are some of the benefits of pursuing masters in data analytics.
- The software used by data analysts are programs created with advanced computer
language and are capable of doing the heavy-duty calculation. It goes without saying that operating them to their fullest capacity without the technical know-how is a difficult task. As a masters in data analytics student, you will have the prestigious opportunity in learning these complex software by instructors well versed in using them.
- All businesses collect data in the form of records or transaction receipts for future purposes. Every business wants to learn ways to better themselves. This has created a job market for data analysts which is never-ending. Every organisation would be looking to have a professional on their side who has the expertise to go through and organise large amounts of data and find easily ignorable links which can help the company do better.
- Where there are multiple job titles that are under discussion to be automated, risking the jobs of many individuals, data analysis remains a job title that would always require a man sitting behind a computer doing the task. There is job security which comes with this degree.
- The shortage of data analysts means companies will pay handsome salaries to individuals with a higher degree of understanding of the subject. There is also less competition for individuals of this field, hence rising to higher job titles is comparatively easier.
- Masters in data analysis is a very demanding course and students need to prove themselves as computer professionals before they can be awarded a masters. This gives a sense of credibility to the individual and instils a sense of confidence in the employer.
World Ranking: Masters in Data Analytics Rankings
Data analysis and Data science are some of the new, but growing, courses out there and require high-class and well-developed facilities along with a learned faculty I order to be taught to the students. Only the best and topmost universities can handle what this highly demanding course requires. Following is the list of top-ranking universities that offer Masters course in Data Analytics.
1. Stanford University – Stanford, California (USA)
2. Columbia University – New York City, New York (USA)
3. University of California, Berkeley – Berkeley, California (USA)
4. University of Southern California – Los Angeles, California (USA)
5. Georgetown University – Washington D.C. (USA)
6. University of Chicago – Chicago, Illinois (USA)
7. Indiana University Bloomington – Bloomington, Indiana (USA)
8. Louisiana State University – Baton Rouge, Louisiana (USA)
9. University of Massachusetts Amherst – Amherst, Massachusetts (USA)
10. New York University – New York City, New York (USA)
Stanford University has been setting a standard for education ever since it came into
existence in 1891 at the city it is named after in the state of California. Today it is known for its groundbreaking research facility and high standards of education. It is in close proximation to the world-renowned IT hub, the Silicon Valley.
The data analysis program offered here is offered under the Department of Statistics and Institute for Computational and Mathematical Engineering. The degree would be awarded to students who complete a total of 45 credits in the course and the tuition is as denoted in the Stanford Registrar.
The course challenges the students and involves demanding subjects like machine learning, capstone project, paradigms for computing and business intelligence for big data.
Columbia University is one of the private ivy league university in the United States and is situated in the more well-to-do part of New York city, upper Manhattan. This ancient university was established back in the 1750s and has since seen many changes, for example in its name as it was called Kings College up till 1784. The university is well known as being the forerunner in many scientific pieces of research taking place in the United States and was one of the few involved in the Manhattan project.
Their engineering department is responsible for undertaking the MS in Data Science course.
In order to be awarded this prestigious degree, one must complete a minimum of 30 credits. The cost of the tuition comes up to approximately $55,500 ($1850 per credit). The course involves students studying statistics and computing subjects like machine learning, algorithms for data science, probability theory, exploratory data analysis and visualization.