Post Graduate Program in
Data Analytics



Applications Open

Introduction

With a population size in billions, we as a country are synonym to ever growing talent pool; catering to the needs of each and every sector possibly known to human kind. This has resulted in India becoming an absolute hub for all those foreign companies looking to find one of the best outsourcing places. The rapid developments in the field of Data Analytics shall change the world of businesses; as well as business models; and help them improve exponentially too.

Everything depends on data; from big multinationals to small business alike. All great minds use this data to formulate better strategies for the future of their companies. Since India has always been seen as a technology outsourcing hub, so is true, when it comes to analysing the data using analytics and big data technologies.

If you want to succeed in any industry, you need to study newer trends & improvise in your processes. There is practically no sector which has remained untouched from the reach of Data Analytics. Data analysts, with the right set of skills and expertise; are in demand in a wide range of industries where businesses are realizing the potential of enabling analytics in their organization.

India's analytics industry is currently estimated to be $2.03 billion annually in revenues & it is expected to nearly double by 2020, a study conducted by Analytics India Magazine and AnalytixLabs has found.

India at present has close to 600 Data Analytics firms with the potential for about 100 new data driven start-ups ready to launch into the industry. It is believed by many statisticians that by 2020, India will have a huge demand and supply misbalance and will be in need of close to 2,00,000 analytical data experts in the field of Data Analytics. Thus, it is set to bring equal opportunities for all - starting from fresher to experienced professionals in the space. Hence, the scope for data analysts and data scientists is humongous.

“Data is like a wine, it tastes good on the maturity.” And they rightly say, data and numbers don’t lie!
Program Details
Course Objective

To enable working professionals with in depth understanding of the key technologies used in analytics, viz. data mining, machine learning, visualization techniques and statistics. This course describes how one can turn the sheer complex data into a competitive advantage with the efficient use of data analytics & thereby fostering / supporting the decision making.


Course Structure

One year duration I 2 Semesters I Part-time Classroom Sessions

Course Eligibility

  • Graduates with minimum 50% from any recognized University.
  • Candidates from Engineering / MCA /BCA / Mathematics / Economics background will get an edge over the remaining applicants.
  • Freshers can also apply.
Program Structure
  • Regression and Classification for Business Applications
  • Machine Learning
  • Tools and Techniques of Data Visualization and Communication
  • Time Series Modelling
  • Project Work