Mages

Unity is a cross-platform game development engine taught in most game development courses,  and is created, owned and maintained by Unity Technologies. It began as a Max OS X Game Engine, announced at Apple Worldwide Developers Conference in June 2005, and in the span of a decade, has become one of the most popular game development engine around the world.

Gradually the Engine began expanding its offerings to other platforms (PC/Desktop, Mobile, Console and even Virtual Reality Platforms). Owing in large part to its scalability, it has become the Engine of choice for the development of iOS and Android games and is widely adopted by the indie game developer community.

Unity Game Engine supports over 19 different platforms for deployment and publication, and has supported even more. Unity was supplied/issued with every Wii U Developer License  issued by Nintendo, thus making it a “default”, which was an industry-first move.

Unity is free for use for personal use or for smaller companies (with annual revenue upto $200,000), following which a company/developer would have to subscribe according to their annual revenue. In the efforts of making game development more accessible, Unity went a step further and launched the Unity Asset Store, where users can develop and sell their assets to other game makers. The Asset Store also contains free offerings for beginners who would like to try and experiment.

A brief look at Unity’s history

Unity “1.0” launched in 2005 on Mac OS X with a view to “democratize” game development by increasing the accessibility. It aimed to make the platform available to more people so as to provide them a platform for creativity and innovation which might otherwise not be possible.

Unity 2.0 launched in 2007 with almost 50 new features focused on 3D environments, terrain, lighting (real-time dynamic shadows and directional lights etc) and more. Another focus of this update was the ability for developers to collaborate with each other in a more effective and efficient way. Developers were now also able to create multiplayer games using Unity 2.0’s Networking Layer.

Unity quickly added support for iOS/Apple iPhone as soon as Apple launched its App Store in 2008, and became the de-facto game development platform for iOS/Apple iPhone for many years to come.

Unity 3.0 saw daylight in September of 2010, and brought with it the game engine’s graphics features’ updates for desktop computers and game consoles. Unity also supported the Android platform at this point, and was heralded as one of the few companies who have greatly contributed to enabling and bringing game development to the masses on a scale never seen before.

Game Developer magazine indicated Unity as its top game engine for mobile games.

Unity 4.0 hit ground in 2012, bringing DirectX 11 and Adobe Flash support, along with new updated and upgraded development tools. In 2013, Unity would partner with Facebook for an integrated Software Development Kit for games, allowing developers and the advertising giant to link gameplay elements with Facebook’s digital marketing activities, and allowing developers to track advertising campaigns where users were linked from social media posts to specific portions within their games. Publishing games to Facebook also became easier and more streamlined. 

Unity 5.0, released in 2015, took great strides in improving lighting and audio. Unity developers were now able to “publish” their games to compatible web browsers such that the players did not require any plugin to play. Unity 5.0 also incorporated NVidia’s PhysX 3.3 Physics Engine and introduced Cinematic Image Effects which greatly impacted the look of the game, in an attempt to make Unity games look less generic.

This generation also added support for more platforms (Nintendo Switch, Google Daydream, Facebook Gameroom). 

Owing to the relentless momentum of digitalization that the world is experiencing, terms like ‘Data Science,’ ‘Python,’ and ‘machine learning’ have become buzzwords and consistent parts of our everyday verbatim. Now people, especially the youth, do not shy away from pursuing rather unconventional career paths, especially if they are related to information technology and upcoming sciences. Thus, it goes without saying that Data Science courses are all in right now. In simple words, we can define Data Science as the study of information wherein we can learn from where a particular piece of information comes from, what is its implication, how to convert the same into a helpful resource, and how can businesses take help of the analysis to take feasible decisions, and much more. Hence, Data Science is an interdisciplinary field that amalgamates technical ability with business-oriented insights to drive change based on intelligence. If you are interested in becoming a Data scientist, then opting for specialized education in one of the world’s most advanced economies – Singapore – might be a decision you can consider.

DATA SCIENCE IN SINGAPORE – WHAT, WHY, AND HOW 

Owing to an overwhelming demand for specialized Data Scientists across businesses, Python courses and courses on Data Science have attained unprecedented popularity and appeal worldwide. As a result, Singapore has transformed itself into one of the biggest technological hubs of the world. As a result, it is experiencing a massive surge in demand for skilled and qualified data scientists. Although opting to study abroad might be daunting, the prospects are so lucrative and appealing that saying no might be an absolute disaster. So, without further ado, let us look at the top four reasons you should pursue a Data Science course in Singapore.

1. Excellent Scope – Singapore has witnessed tremendous growth within its technological sphere, resulting in the steady rise of jobs in the data science and machine learning industries. Some of the world’s most cutting-edge technology companies and start-ups are based in this country. The need for data scientists is one of the country’s top five rising jobs, according to a recent LinkedIn research. Moreover, Data Science experts and professionals are hired in diverse fields such as IT, banks, financial institutions, student recruitment agencies, healthcare sectors, and more. Thus, it would not be erroneous to assert that Data Science has a bright and gleaming scope in Singapore.

2. A Thriving Global Business Hub – Singapore has a reputation for being one of the best and easiest countries to conduct business in. The nation attracts many investors and companies annually and is steadily transforming into Asia’s magnet for business and innovation. The heavy downpour of start-ups, corporate giants, and innovative bigwigs in the country implies an overall economic boom, which has positive connotations for Data Science courses. As per Glassdoor, the average salary of a Data Scientist in Singapore ranges from SGD 5000 to 7000. Thus, the thriving global business boom in Singapore is another reason why pursuing a Data Science program in the country is beneficial.

3. Financial Assistance – Studying abroad in Singapore does not mean you will have to burn a hole in your pocket. Singapore’s education fee is comparatively affordable, and you can reap many more benefits than the money invested. As per the National University of Singapore’s financial aid information, a full-time undergraduate course in the country will cost you around SGD 37000, whereas the same training will be priced at approximately SGD 55000 in the USA and SGD 45000 in the UK. Moreover, international students are also eligible for tuition grant schemes of subsidized fees if they pledge to work in the country three years after the degree completion.

4. World-class Education Quality – Besides being an economic epicenter, Singapore is renowned for its state-of-the-art higher learning facilities. The country has one of the best teaching methodologies and pedagogies in Asia, and competitive and cutting edge Data Science courses are constantly being formulated for students to remain abreast of the ever-changing industries. In addition, it is essential to mention that Singapore has partnered with DataCamp to provide data science education to over 25000 professionals and 100000 students. It is gradually evolving into an AI-fluent country.

Thus, there we have it, the top four reasons why you should pursue Python courses and Data Science programs in Singapore. The hospitable and amicable environment of the country, coupled with a reverence for international fraternity, make Singapore an excellent choice for studying abroad.

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