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Artificial Intelligence And Data Science

About Department

Artificial Intelligence and Data Science Programme prepare students with the skills to perform intelligent data analysis which is a key component in numerous real-world applications. During the past ten years, data science has emerged as one of the most high-growth, dynamic, and lucrative careers in technology. This course aims at providing not only the core technologies such as artificial intelligence, data mining and data modelling but also gives intensive inputs in the areas of machine learning and big data analytics. By the end of this course, the students will gain cross-disciplinary skills across fields such as statistics, computer science, machine learning, and logic, data scientists and will have career opportunities in healthcare, business, ecommerce, social networking companies, climatology, biotechnology, genetics, and other important areas. The major focus of this programme is to equip students with statistical, mathematical reasoning, machine learning, knowledge discovery, and visualization skills.

Why AI&DS is important?

Data science is a comprehensive process that involves multiple steps for analyzing data and generating insights. Artificial intelligence makes use of computer algorithms to impart autonomy to the data model and emulate human cognition and understanding.

Where is AI&DS is used?

There are many search engines like Google, Yahoo, Bing, Ask, AOL, Duckduckgo etc. All these search engines make use of data science algorithms to deliver the best result for our searched query in fraction of seconds.

The entire digital marketing spectrum starting from the display banners on various websites to the digital bill boards at the airports – almost all of them are decided by using data science algorithms. This is the reason why digital ads have been able to get a lot higher CTR than traditional advertisements.

Getting suggestions about similar products on Amazon? They not only help you find relevant products from billions of products available with them, but also add a lot to the user experience.

Internet giants like Amazon, Twitter, Google Play, Netflix, Linkedin, Imdb and many more uses this system to improve user experience.

EA Sports, Zynga, Sony, Nintendo, Activision-Blizzard have led gaming experience to the next level using data science. Games are now designed using machine learning algorithms which improve / upgrade themselves as the player moves up to a higher level.

An Example

Airlines companies started using data science to identify the strategic areas of improvements. Now using data science, the airline companies can:

 

  • Predict flight delay
  • Decide which class of airplanes to buy
  • Whether to directly land at the destination, or take a halt in between (For example: A flight can have a direct route from New Delhi to New York. Alternatively, it can also choose to halt in any country.)
  • Effectively drive customer loyalty programs

Southwest Airlines, Alaska Airlines are among the top companies who’ve embraced data science to bring changes in their way of working.