Computers & IT (Non-Engg)

Hi Sai Charan,
Getting a loan will depend on the acceptance by the university. You must have received the admission offer to be eligible for bank loan. To study in Canada, you have to know the eligibility criteria of the various universities and the programmes. There is no MCA, it's only in India. In Canada, you find different terminologies like M.Sc in Applied Computing, Computer Systems, Computer Science, etc. They are all very competitive. Most require a 4-year degree and also you must a very brilliant student with more than 70%. Check university websites to learn more. You should also visit your bank branch to know about study loan process.

At Taxila, we have a unique format of having classes from 9 am to midnight, 15 hours of rigorous training and is what we go through here.Classes are based on the format of case studies, role playing , presentations etc, to give hands on learning.
Moreover, having a dual specialization along with SAP global certification,digital marketing Google certification along with block chain technology provides an edge to students like us.
Students get opportunity to go for 3 internships of 2 months each in the corporate, thereby maximizing the corporate exposure.
There would be numerous opportunities to enhance the skills set in form of Live projects, CII activities, seminars, projects and workshops, you just got to have the zeal to feed on them.

Data scientists are a new breed of analytical data expert who have the technical skills to solve complex problems and the curiosity to explore what problems need to be solved. There part mathematician, part computer scientist and part trend-spotter. And, because they straddle both the business and IT worlds, there highly sought-after and well-paid. Whowouldntwant to be one? There also a sign of the times. Data scientists were't on many radars a decade ago, but their sudden popularity reflects how businesses now think aboutbig data. That unwieldy mass of unstructured information can no longer be ignored and forgotten. Its a virtual gold mine that helps boost revenue as long as there's someone who digs in and unearths business insights that no one thought to look for before. Enter the data scientist. Where did they come from? Many data scientists began their careers as statisticians or data analysts. But as big data (and big data storage and processing technologies such as Hadoop) began to grow and evolve, those roles evolved as well. Data is no longer just an afterthought for IT to handle. Its key information that requires analysis, creative curiosity and a knack for translating high-tech ideas into new ways to turn a profit. The data scientist role also has academic origins. A few years ago, universities began to recognize that employers wanted people who were programmers and team players. Professors tweaked their classes to accommodate this and some programs, such as the Institute for Advanced Analytics at North Carolina State University, prepared to churn out the next generation of data scientists. There are now more than 60 similar programs in universities around the country.