Post-Graduate Certificate Program in Business Analytics

The recent years have seen an exponential growth of digital data. In the next decade the total digital data is expected to cross 35 Zeta Bytes (1 Zetabyte = 1 billion terabytes). There will be a huge requirement for qualified data analysts to manage the data and draw business insights. As per Gartner research, more than 4.4 million jobs in the area of Big Data analytics will be created by 2015. Supply of trained and qualified data analysts will fall short by 66%. This is a huge opportunity for young graduates and budding professionals.

According to recent NASSCOM and Crisil report, the rising demand of data analytics is expected to witness a global shortfall of IT and analytics professional with necessary skills to implement technologies to drive business value. India’s data analytics outsourcing opportunity is likely to grow about 83 percent annually approximately to USD 10 billion during 2011-15. There is an urgent need to integrate data analytics in the academic curriculum to create trained manpower to meet the opportunity.

Having recognized the need for professionals in the field of business analytics, SSN SACE launched a six months certificate program for graduate engineers. A six months program was launched on 3rd January 2014 by Dr. Shiv Nadar, Chairman, HCL Technologies.

Program Structure

The six months program is divided into two semester. Following courses are coverded in these two semesters:

First Semester

  • Information Management
  • Business Intelligence
  • Introduction to Business Analytics
  • Business Statistics
  • Data Visualization

Second Semester

  • Predictive Analytics
  • Operations Research and Optimization
  • Data Mining
  • Big Data Technologies and Management
  • Active Learning Project


Blended and Technology Enabled Learning

The students are given the course material in advance. They come prepared to the class by going through the learning material. The classroom sessions are learner driven and interactive. The students and the faculty have on-going interactions through LMS

Industry Speakers

An integral part of the PGCBA is interactions with industry speakers and their regular visits. These sessions are part of the module, and are designed to enhance the understanding of the concepts of the module from a practitioner’s perspective, making it easier to apply the learning immediately.

Real-Life Case Studies

Case studies are included to help the students to analyze business issues from variety of perspective, and apply critical thinking and problem solving skills

Project Based Learning

Project based learning involves working in teams, identifying the requirements and design solutions to meet requirements. The active learning project helps students to appropriately apply techniques and skills in real-time world because the projects are proposed by external clients. The principals of the active learning projects are professionalism, right judgement, and reflective practices.

Business Analytics Lab in Collaboration with IBM

To give hands-on experience (on widely used tools in industry) to the participants, SACE has a business analytics lab with the following support tools:

MySQL IBM-DB2 IBM-Rational R
Tableau IBM-Infosphere BigInsight Python Apache HADOOP


The quality of classroom teaching at SACE is truly world class. Our faculty is comparable to the best in the world in their respective disciplines. Our full-time faculty are armed with a PhD from leading schools – have considerable research experience, others have extensive corporate experience in some of the finest companies, and thus ensuring students get an eclectic perspective of business issues. Full-time faculty undertakes consulting assignments for leading Indian and multinational companies.

Adjunct faculties from leading industries also teach at SACE, bringing their perspectives into the mix and enriching it further. This dynamic environment is made even more vibrant by the Industrialists.

Benefits of Business Analytics

Organizations are increasingly making use of Business Analytics in their operations.

  • To identify patterns in data to analyze customer behavior and tailor products to them – Telecom companies develop custom plans based on individual customer usage.
  • To analyze data generated from business transactions and use it to offer products to customers – Retailers identify customers’ buying patterns and offer discounts and bundling based on their preferences.
  • To detect fraud – Financial firms process data to identify inconsistencies and detect irregular transactions.
  • To predict future based on data analysis – To identify new segments of customers.
  • To gain competiitive advantage and prepare strategy

The Program Advisory Council

To ensure that the program is contemporary, and students are industry ready at the end of the program, a program advisory council has been constituted with members from leading industries having business analytics practices.

Program Calendar

17th July 2017 : 8th Batch Commenced
17th Jan 2018 : 9th Batch Commences