Why You Should Study Data Science in Singapore
30 March, 2020
Discover why Singapore is the ideal destination for aspiring Data Science enthusiasts. As a global business hub with a thriving job market, Singapore offers lucrative opportunities for data scientists.
Are you someone who loves sculpting through volumes of data and chiseling out valuable information from it? Do you feel like a math wizard, magically churning out creative patterns with your numbers at hand?
Chances are, you are a Data Science enthusiast!
Data Science is the new electricity in this era. It has picked up a lot of momentum in the recent past thanks to Machine Learning and Artificial Intelligence (AI). There are tons of data being collected in a day. In fact, Forbes mentions that we generate a mind-boggling 2.5 quintillion bytes of data every single day!
A data scientist’s goal is to then analyze all the collected data and elicit useful business insights to drive the company’s goals forward.
If you are looking for the best place to pursue a Data Science career coupled with affordable living standards, educational costs AND a hot job market, then look no further – Singapore is THE place to go to.
Choosing to study abroad can be an overwhelming thought at first glance. It brings about, amongst other things, a radical change in your lifestyle.
Read on to find out why Singapore is a great place to pursue a career in Data Science:
A Global Business Hub With a Thriving Job Market
Singapore has an excellent reputation of being the easiest country to do business with.
It attracts many investors and companies and is thus becoming the epicenter of a business hub in Asia.
With several multinational corporations making their presence in Singapore, there seems to be a boom in the job market. Undoubtedly, companies are always out there looking for skilled employees and according to Glassdoor, the average salary for a Data Scientist ranges from SGD 5k – 7k.
We are growing everyday with the advent of the Internet of Things (IoT) and consequently, the data we generate in a day is unimaginable.
There is a need for data scientists at this time and age and Singapore has several domains of industries you can work at.
Do you have an eye for business?
You can find several banks, including DBS Bank and OCBC, looking for people who can build data science solutions with machine learning and deep learning methods to increase business impacts, improve customer management and solve business-related problems. Banks also offer you one of the highest median salaries in the country for a data scientist role.
Maybe a biomedical engineer at heart?
There are several biomedical companies in Singapore like Merck, Johnson & Johnson, Illumina, and Roche, to name a few, which span a gamut of disciplines.
They are constantly looking for data scientists who can analyze multivariate time series data, or wrangle data and classify DNA sequences, or predict the occurrence of diseases in humans. These are merely scraping the surfaces of the plethora of opportunities available in this domain.
Or probably you were born to be a gamer?
Gaming companies are blossoming as a high paying industry in Singapore. There are over 50 gaming industries currently, according to GameDevMap.
These include Ubisoft, Gantai Games, Blizzard Entertainment, etc., who are looking for advanced machine learning solutions to provide epic player experiences.
Understanding gameplay objectives, enhancing user experiences and building highly scalable models are some of the cool hues of this job.
Talk about building learning algorithms that reflect your creativity!
Singapore is a host for Data Science conventions that provide excellent networking opportunities for data scientists of all levels.
These events bring in exceptional speakers who talk at length about their experiences in the data science field. Such events serve as a platform to grow even further in your career.
2. Affordable Educational Costs
Studying abroad can be overwhelming for several reasons, one of the concerns being the costs that come with a good education.
You definitely wouldn’t want to start your career paying off educational loans.
Nor will you be keen to give up on pursuing your career for an unaffordable course fee. When you can get a quality education for an affordable price right here in the Asian hub of education, why stress at all?
While most countries do tend to burn a hole in your pocket, Singapore’s education fee gives a greater bang for the buck compared to its peers.
According to the National University of Singapore financial aid information, a full-time undergraduate course will cost you over SGD 55,000 in the USA while you will have to pay over SGD 45,000 in the UK.
Singapore, on the other hand, offers world-class education and outstanding student facilities at SGD 37,000.
Why fork over tons of money when you can get quality education at a reasonable cost right here in Singapore?
Additionally, international students can also qualify for tuition grant schemes where the fees are subsidized if you commit to working in Singapore for 3 years after the completion of your degree.
If this isn’t a win-win situation!
3. Advanced Education System
Several institutions all over the world including the UK, USA and Australia proffer Data Science courses, but none of them come close to the amenities that Singapore has to offer.
Singapore has one of the most progressive education systems with state-of-the-art facilities. The best teaching methodologies and pedagogies rank this island higher than many other countries. With modern tools of teaching and research centers, Singapore’s education system strives to provide a top-notch experience for students.
Competitive data science programmes with cutting-edge tools are constantly being formulated to keep up with the fast-changing requirements in the industry. A data scientist today needs to be equipped with statistics, mathematics, and computer science to develop the quantitative skills required for this field.
Several universities offer Data Science courses that are ever evolving and tailored to meet industry requirements. Singapore has also partnered with DataCamp to provide data science education to over 25,000 professionals and 100,000 students. It is slowly evolving into an AI-fluent Nation.
You can also pursue a semester abroad program or do a part-time internship while you study.
Singapore has the added advantage as an English-speaking country and houses a very diverse population.
With countries like South Korea and Japan at its heels in terms of first-class education, Singapore wears this edge as a feather on its cap.
Final Thoughts
Singapore has proven to be a happening place and still continues to do so. A tropical country with very clean environments and low crime-rates, it ranks as one of the best places to live in.
Students who go to Singapore to pursue their education have not been disappointed in the past. The country is known for its superior college facilities and doesn’t compromise on its teaching standards.
It does not come as a surprise that data scientists are in demand in this AI-driven age.
Their skill sets need to be unique and frequently updated to keep up with the ever-evolving technology.
A Tableau course ie, studying Data Science in Singapore comes as a lucrative package in terms of the exposure you will get, the best teaching methodologies you will encounter, the opportunities you will meet through companies who are looking to hire fresh graduates and the experience of the wondrousness of the city that is Singapore.
Why MAGES?
At MAGES, our focus is to help students make a living doing what they love. Whether it’s a career in the games, art and film industry or one in data sciences – we always aim to offer programs that are not only coveted by students but also demanded by relevant industries. This is how we stay ahead of the curve, by making sure we deliver that which aligns with both students’ and industry needs.
If you’re aspiring to make it big in the data science as well as creative industries, feel free to check out our skill-based, industry-relevant and above all, affordable course options here
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