According to a report by the International Data Corporation in 2012, the digital universe occupied 2,837 exabytes (billions of gigabytes) in 2012, and by 2020, it is set to reach a towering 40,026 exabytes.

In this era of booming digital data which impacts every aspect of a business, it has become a necessity for students to have the exposure and training to meet the growing demand for professionals in the area of Business Analytics.

SSN Institutions, in a bid to prepare students for this fast growing sector, has come out with a six-month residential certificate course, Post Graduate Certificate Programme in Business Analytics (PGCBA). The first course in the recently launched SSN School of Advanced Career Education (SACE), the programme is set to begin in January 2014.

“There will be a huge requirement for qualified data analysts to manage the data and draw business insights,” says Dr. Shashikant V. Albal, Director, SSN School of Advanced Software Engineering. “As per Gartner’s research, more than 4.4 million jobs in the area of Big Data analytics will be created by 2015.”

The focus of the course being business intelligence, descriptive analytics, predictive analytics, prescriptive analytics and big data handling, Dr. Shashikant hopes to provide all the tools to students to enable them to take up various jobs in this domain. The faculty consists of academicians as well as practising professionals.

Tie-up with IBM

The highlight of this course is the tie-up of SSN Institutions with IBM for the business analytics laboratory. “In the lab, IBM will provide IBM SPSS, IBM Cognos, IBM InfoSphere and IBM Rational Software tools to ensure that the next generation professionals are equipped with the knowledge and skills for smarter business outcomes,” explains Dr. Shashikant. Sudhir Shastri, Technical Head- Software, IBM India, says the practicals have been carefully planned to provide real life project experience. The course has a Programme Advisory Council comprising senior executives in leading organisations in business analytics.