Data science is a constantly evolving field that will continue to grow as new technology is developed. As a result, data science has been dubbed among the 21st century's most demanding careers.

Millions of attractive new career opportunities in data science have arisen due to Big Data, technology, and analytics products. According to the data by LinkedIn, demand for data scientists has surged by 75% year over year, far exceeding the need for any other career.

Data science is a vast field of study that plays a vital role in the modern world. It has become a very essential part of many industries and has been used to solve global problems.

Data science is used in many fields such as finance, health care, transportation, marketing, and many more. The rise of data science has changed our lives significantly over the last few years.

The Internet of Things (IoT) has enabled us to collect massive amounts of data from various devices like smartphones, smart home appliances, etc., which can be used for predictive analytics and monitoring the environment.

Since a Master's in Data Science is a respected skill that necessitates the most excellent possible training, it is vital to know the best universities that can assist one in becoming a competent professional.

Therefore, a summary of the benefits of data science will be followed by a list of Masters in Data Science Rankings for universities where data science can be pursued.

Benefits of Masters in Data Science

The world has more data now than ever before. The data in the world doubles every two years, making it impossible for human beings to analyze all this information manually. Therefore, we need machines to help us explore this data quickly so that we can make sense of it.

But machines can't operate themselves, and machines can't make sense of data based on human behavior for that organizations need skilled professionals. These experienced professionals are called Data Scientists.

Data scientists are highly in demand across industries. As companies have become more data-driven, the need for data scientists has increased dramatically.

The U.S. Bureau of Labor Statistics predicts that employment for statisticians and mathematicians is growing by 11% from 2016 to 2026, which is much faster than average job growth.

Data science provides a wide range of benefits to businesses:

Improved decision-making:
Analyzing data can improve decision-making in many ways. For example, it helps companies identify patterns in their customers' buying habits and recommend products they might be interested in buying.

It also allows companies to predict what products or services customers will buy next based on their past purchases and other information about them, such as their location or social media activity.
Increased efficiency:
By analyzing large amounts of data in real time, businesses can gain greater insight into their operations and make improvements accordingly — for example, by identifying bottlenecks in supply chains or operational processes so they can optimize production schedules or reduce waste.
Better customer experiences:
Companies can use the insights gained from data analysis to create personalized experiences for each customer, ultimately leading to the customer being more satisfied than before.

The data scientist is a modern-day alchemist. They take vast amounts of data and turn it into gold by finding hidden patterns and insights that can be used for business advantage.

Here are some of the benefits that come with being a data scientist:

You will be highly valued by employers
You will be paid more than most other occupations.
You will be able to work in almost any industry or sector.
You'll get access to a whole range of new tools and technology.
You'll get to work with big data and cutting-edge technology.
You'll be able to choose from a variety of professional paths.
You'll be able to work independently or as part of a team.

Top Universities for Data Science- Global Rankings

Data science is a broad phrase that includes abilities from several professions, such as statistics, computer science, management consulting, business administration, and even systems engineering.

The data science subreddit, which universities should attend to study data science, comes up regularly, but it might be tough to have a definitive list.

This post addresses that problem by compiling a comprehensive university list that includes information on the most acceptable curriculum, best teaching staff, university resources, and data scientist job possibilities.

Some of these schools excel in various areas, while others have a specific specialization. Then, based on feedback from industry specialists, we've described each university's strengths and weaknesses.

1. Stanford University (USA) -

Stanford has produced several millionaires and billionaires and innovators and entrepreneurs, making it among the most successful institutions in the world.

It is also known for drawing students who aspire to make a difference. Stanford University is the leading institution in Silicon Valley and the world's eighth-oldest university, founded in 1885.

The Master's in Data Science program at Stanford University is one of the most prestigious graduate degree programs in the university, but it's also one of the most expensive.

It provides specialization in many fields of data science, has a very astonishing curriculum in data science, and offers many different specializations. The most popular amongst their specializations are:

MSDS (Master of Science in Data Science) - This course is for candidates with a bachelor's degree in computer science or a related subject. Students will study software systems, machine learning, extensive data management systems, and other topics necessary to become competent data scientists or business analysts.
Business Analytics (MSBA) - Students who want to work as business analysts who have a good background in statistics, forecasting, and forecasting models should take this course. Students will understand how to tackle current and future business challenges using analytics tools and methodologies.

Program Structure

It is a two-year, full-time program offered solely through the Department of Statistics. The coursework is designed to provide students with the skills and knowledge necessary to succeed in the puzzling field of data science.

Students will take courses on machine learning, computer vision, natural language processing, bioinformatics, and computational biology. There are also electives available for students who want to focus more specifically on one area of interest.

After completing their coursework, students can take a year-long capstone project course or pursue an internship opportunity.

The tuition fee for a Master's in Data Science at Stanford University, USA, is $35,061 per year.

2. Massachusetts Institute of Technology(USA)-

The Massachusetts Institute of Technology (MIT) is a Cambridge, Massachusetts-based private research institution. MIT was founded in 1861 due to the United States' expanding industrialization.

It followed the European polytechnic university model, emphasizing laboratory education in applied science and engineering.

The institution has a robust entrepreneurial culture, and the combined earnings of MIT alumni-founded businesses would be the world's tenth biggest economy.

Massachusetts Institute is a world-famous institution that offers a Masters in Data Science. The program emphasizes using data science to solve real-world problems, and it includes courses on statistics, databases, machine learning, and more.

The program also includes a research project wherein students analyze a dataset to address a critical business question or challenge. This is a good chance for students to demonstrate their problem-solving skills and mastery of the material they've learned during their studies.

Students can choose from several specialization options within the program, including big data analytics, data mining and machine learning, computational modeling and simulations, health informatics, human-computer interaction (HCI), information security policy and management (ISPM), intelligence analysis and security policy (IASP), natural language processing (NLP), network science, social computing systems engineering (SCSE).

Program Structure

The program at MIT can be completed in 12 months, but students must take two courses during their first semester and three more during their second semester.

After completing two semesters at MIT, students must take two elective courses from over 100 options. Systems consist of lectures, labs, and group projects requiring students to apply the concepts they have learned in class.

In addition to its core curriculum, MIT offers optional concentrations for students interested in specific areas of study such as finance or health care. These concentrations allow students to tailor their Master's degree to fit their career goals after graduation.

The tuition fee for a Masters in Data Science at the Massachusetts Institute of Technology is $27,755.

3. King's College London(United Kingdom)-

King's College London is one of the most prestigious universities in the world. It was established in 1828 and is located in South Kensington, London. The university has a rich history that spans over two centuries and has produced many famous alumni, including Lord Byron, Charles Darwin, and Sir Alexander Fleming.

The university offers a variety of courses, including a Master in Data Science (MSc). Suppose you are interested in data science or are looking to make a career transition into the industry. In that case, this course will give you a competitive edge over other candidates applying for jobs.

The program provides a unique opportunity to network with other students, alumni, and industry professionals. This will help you make valuable contacts after graduation to help you find employment or further research opportunities.

Program Structure

The Master's in Data Science at KCL is a one-year full-time program. Students can also study part-time, but this will take longer.

The full-time program consists of four semesters:

Semester one (September - November) - introduction to data science; programming and statistical modeling of data; research methods & design; ethics and regulation.
Semester two (January - April) - machine learning methods; longitudinal data analysis; natural language processing (NLP) & sentiment analysis; visualization & interactive visualization techniques.
Semester three (April - July) - advanced methods for text mining and semantic analytics; advanced techniques for data management & storage; privacy and security issues in big data analytics; real-world applications in industry (e.g., finance, health, transport).
Semester four (August - December) - final project report

The tuition fee for a master's in data science at King's College London is $31,380.

4. Harvard University(USA)-

Harvard University is a Cambridge, Massachusetts-based private Ivy League research university. The institution was founded in 1636 and is named for its first sponsor, notable Puritan preacher John Harvard. Harvard University is the oldest university in the United States and one of the most prominent institutions in the world.

The Institute for Applied Computational Science (IACS) administers the Data Science master's program, jointly directed by the Computer Science and Statistics faculties.

The master's in the data science program at Harvard University offers a comprehensive interdisciplinary curriculum taught by world-class faculty across the university who bring a common goal: to train future leaders who can work across disciplines and industries to solve complex problems with data science.

Program Structure

The program is 12 months long and includes four required courses, two required research projects, and two electives. In addition, students complete independent studies with faculty members to address issues relevant to their interests and career goals.

Courses: Introduction to Statistics; Introduction to Database Systems; Statistical Computing; Seminar in Data Science Research Methods; Policy Analysis for Data Scientists; Data Science Project 1; Introduction to Machine Learning Algorithms; Capstone Research Project 1

Research: Independent research project related to the student's area of interest.

The tuition fee for a master's in data science at Harvard University is $52,456.

5. The University of Toronto-

The University of Toronto is one of the oldest universities in Canada. The institution has a long tradition of academic distinction, and Times Higher Education World University Rankings and Q.S.

World University Rankings are among the top 100 universities globally. It offers approximately 350 graduate programs, including many specialized programs in data science.

The Master of Data Science program at the University of Toronto is a cross-disciplinary program that seeks to prepare students to become field leaders in data science.

In addition, the program prepares students for careers in data science and other related fields like business intelligence, predictive analytics, and machine learning.

Program Structure

The Master of Science in Data Science program offers three streams: data science, computational biology, or computer science/data science. Each stream consists of four courses (12 credits) plus a capstone project which must be completed within two semesters at full-time status (three per stream).

Students can choose between two available capstone projects: an internship with industry partners or a research project supervised by an academic staff member conducting data science research.

The tuition fee for a master's in data science at the University of Toronto is $54,497.

6. ESSEC - CentraleSupelec(Singapore & France) -

ESSEC Business School and CentraleSupelec have a long history of partnership and cooperation. Both schools benefit from this experience to create the Master in Data Science. The objective of this program is to offer students multidisciplinary training that combines business, management, engineering, and computer science. Students will be prepared to work as data scientists in various industries.

The Master in Data Sciences & Business Analytics program is provided by ESSEC and CentraleSupelec, two of Europe's most prestigious business and engineering schools, and is ranked among the top five business analytics programs globally. The program is offered both in France and Singapore.

Program Structure

The program can be completed in one or two years, depending on the candidate's educational background and work experience.

Students with a Master's degree, a 4-year bachelor's degree, or a 3-year bachelor's degree plus work experience are eligible for the 1-year program.
Candidates with a 3-year bachelor's degree but no job experience should apply for the 2-year program.

As a result, students choose to select the appropriate program duration based on their experiences.

The tuition fees for masters in data science at ESSEC - CentraleSupelec for students completing the course in 1 year is €24,500.

For students doing it in 2 years, the fees are as follows:

For first-year = €12,500
For second-year = €24,500

7. Columbia University(USA)-

New York City's Columbia University is an Ivy League research university. Columbia University, originally known as King's College, was founded in 1754 and is the country's fifth-oldest institution of higher learning.

It was established as one of nine colonial institutions before the American Revolution, out of which seven are Ivy League colleges. Columbia University is regarded as one of the best institutions in the world.

One of the world's most well-regarded and demanded advanced data science programs.

In Columbia's data science program, students can perform original research, complete a capstone project, and connect with business partners and world-class instructors. Students can also opt for an entrepreneurial elective track or a topic area covered by one of their centers.

Program Structure

The Master of Data Science program at Columbia University is an interdisciplinary program focused on data analysis employing statistical, mathematical, and computational methods. Students interested in data science but have no prior statistical knowledge are encouraged to apply.

Individuals having a bachelor's degree in the physical sciences, social sciences, mathematics, or engineering can utilize it to improve their understanding of data science and their ability to apply data science approaches to real-world problems.

Most full-time students complete the M.S. in Data Science in three semesters because it is a 30-credit program; 12 credits in the fall, 12 credits in the spring, and six credits in the fall.

The tuition fee for a master's in data science at Columbia University is $68,567.

Conclusion

The field of data science has earned its claim to a specialized master's degree from leading universities. However, choosing the proper course for you may not be as straightforward as imagined. Therefore, applicants and prospective data scientists should investigate the curriculum offered by each program.

You have to find the proper blend of theoretical knowledge and on-hand experience in a course for you to make industry-ready. The universities above are some of the best that provide this perfectly mixed-together curriculum.

Go through the program structure and other factors carefully and decide which university is best tailored to give you the desired results.