B. Tech in Data Science

Introduction

Amount of data being produced and captured is ever increasing at an exponential rate. Big data is great opportunity to develop the next generation technologies to store, manage, analyze, share and understand the huge volume of data that is generated in business. Based on interaction with our esteemed industry partners, a unique perspective of the issues resulting due to big data is developed by NMIMS.

World Perspective

International Data Corp. (IDC) forecasts that data generation will increase the 40 Zetta (or 40 billion terabytes) by 2020, 50 time more than what we had in 2010

The enormous amount of data can be used by business enterprises to generate new insights, enable better decision making and improve process in organizations.

Business analytics refers to the analysis of data using statistical , machine learning and quantitative techniques with the purpose of understanding past performance of the business and generating new insights for the future.

According to a forecast made by IDC, the global spending on business analytics services is expected to rise US $51.6 billion to US $89.6 billion in 2018.Despite the growing significance of business analytics, the supply of trained analytics professionals is lagging far behind the demand. According to McKinsey Global Institute, by 2018, the United States alone will need about 140000 to 190000 data scientist with deep analytical skills and another 1.5 million managers and analysts who can utilize large data sets to make better decisions.

Indian Scenario

In India the analytics market is also expected to double between 2013 and 2018, accpording to a report published by NASSCOM recently. There will be a need of about 2 lakhs data scientists in India over the next few years, according to sources in Nalytics Special Interest Group set up by NASSCOM.

Hence, creation of trained industry –ready business analytics technocrat professionals is the need of the day.

Program

The B.Tech Data Science program is a modern degree designed to meet the increasingly aggressive demand for qualified data scientists in virtually every sector of the economy. Also called data mining, competitive intelligence, data analysis, and data statistics, data science is one of the fastest growing career opportunities in the country as companies find themselves at a crossroads of having the technology to gather massive amounts of data but lacking the skilled scientists to tell them what the data means or how to use it to inform their business practices.

Teaching, Learning And Evaluation

Curriculum for the program includes adequate balance of fundamental / foundation, core and elective courses. The courses are based on a credit structure with 22-26 credit per semester totalling to around 180 credits over for the entire B Tech Program. Every course is assigned lectures, practicals and tutorials as per requirement. Students also undergo technical entrepreneurship and project in the 4th year. The program course content is reviewed every year with industry inputs and participation.

The school encourages students to learn through experiential mode along with class room delivery. The delivery is very actively supported by Black Board Learning Management System (BBLMS). The BBLMS facilitates learning beyond classroom through YouTube and other online content available on the net. Through this innovative teaching and learning process, students have ample opportunity to learn through different modes. The curriculum also emphasises on continuous self-learning.

Evaluation is based on continuous assessment throughout semester with appropriate weightage for in semester work, as well as end semester exams. Different modes of evaluation like open book exam, quiz and viva are available for the faculty to ensure attainment of course and program out-comes as defined above.

Pedagogy

To address the ‘ Ý ’Generation needs which expects 24x7 online learning content as a supplement to the classroom learning, several modes of delivery are available, in addition to project based learning, implementation of technology, projects executed in the industry, participation in international competitions, group work etc. This innovation in Pedagogy ensures that students have several learning opportunities matching to their aspirations.