The first and foremost reason you need to consider for data science is relevancy. In the current economy, data science has been labeled as the #1 profession in all top countries, including USA and UK. Thousands of international students target universities abroad yearly to get their hands on a data science specialization. If you are interested in data, analytics, and machine learning, a data science specialization can do the most for you. Data scientists are highly valued by global organizations and are paid handsomely. Get your preparation started now if you want a masters in data science.
Why Pursue Data Science?
The #1 reason for pursuing data science is relevance, but it’s not the only one. First of all, it pays well. Secondly, high value in the market. Third, data science has a big and diverse scope; it lets you browse many professions. Not to mention that it is a technical field that is highly interlinked with many other sectors. After you get a data science specialization, you will find out that almost all top organizations require data science experts in numerous fields. All these statements are not just true for countries like the USA and UK, but also for the most developed countries across the world.
Pursuing a data science specialization gets you to acquire skills to collect, analyze and manage data. Many data types are used nowadays to deliver the best results from the analysis. For business and technology, it is an absolute necessity; it’s also why there is such high demand for data science professionals. An MS degree is the most reliable thing you can do in this field. It equips you with the necessary skills and knowledge to work on data types and trends.
Employment and Earning in Data Science
Employment in data science is evergreen. Data science has been considered the #1 profession in the USA for 5 consecutive years now by Glassdoor. Similar results can be seen in countries like the UK, Canada, Singapore, Australia, etc. In terms of market size and growth, data science shows exceptional results. According to the report by Allied Market Research, the data science market (global) will generate $4.7 billion in 2020. If you think this is impressive, by 2030, it is estimated to reach $79.7 billion.
Thousands of new jobs are offered every year in the data science industry. And the earnings that come along with it are also exceptional. For instance, the average data scientist salary in top places ranges from $90,000 to $110,000 (around 71-88 lakhs) yearly. Depending on your qualification and experience, your annual income with a data science specialization can differ. Many professionals earn more than $140,000 annually in countries like the USA and UK.
Best Data Science Specializations
Data science comes with many benefits and specializations. Many dedicated areas in data science are widely popular nowadays. Analytics and engineering are one of many names. Whatever domain you pick, the career opportunities remain extremely diverse and lucrative. However, some shine the most. If you plan to pursue a master’s in data science, you must know these top specializations for the same subject.
One thing I have to keep in mind is the difference between data science and data analytics. Many students don’t comprehend that data analytics is a subset of data science. Similarly, these are the most beneficial data science subsets that you can target:
- Data Analytics
- Machine Learning
- Business Intelligence
- Data Mining
- Artificial Intelligence
- Data Engineering
- Visualization
MS in Data Science: Top Universities
To get the best out of a data science specialization, you must get a degree from the best university. Top educational countries offer a variety of data science courses and degrees. You can either choose as per your preferences or according to the budget you have. Generally speaking, the USA and UK are the most expensive, but they also bring out the best outcomes. Know the best university and best country to do a data science degree.
Best universities worldwide to do a data science specialization:
| No. | University | Location |
| 1 | Massachusetts Institute of Technology (MIT) | USA |
| 2 | University of California, Berkeley | USA |
| 3 | Imperial College London | UK |
| 4 | University of Warwick | UK |
| 5 | University College Dublin | Ireland |
| 6 | Carnegie Mellon University | USA |
| 7 | University of Michigan | USA |
| 8 | National University of Singapore (NUS) | Singapore |
| 9 | University of British Columbia (UBC) | Canada |
| 10 | University of Melbourne | Australia |
Conclusion
Data science as a subject is one of the most lucrative and relevant. These are the very two things you need from your higher studies. Technology is already replacing countless professions; going with a tech specialization like in data science is the idlest thing to do now. Sort out your preferences regarding area and domain in data science and start preparing. Thousands of students apply abroad every year; you don’t want to miss your chance.