The abundance of data and rapid development in the field of computational intelligence in the last decade has seen the introduction of courses in Business Analytics in management curriculum

1. 5/27/2021 Calcutta Business School
https://calcuttabusinessschool.org.in/Data-Analytics-and-Artificial-Intelligence-Driven-Academic-… 1/2
Indranil Ghosh (Assistant Professor,Calcutta Business
School)
Abundance of data and rapid development in the field of computational intelligence in
the last decade has seen introduction of courses in Business Analytics in management
curriculum.
At, Calcutta Business School, several initiatives have been taken to embrace data
analytics to train PGDM students in data driven analysis and decision making.
As a preliminary requirement in the first year of PGDM program, Business
Statistics for Decision Making and Business Research Methodology are being
taught.
Once the students successfully complete first year coursework, they are open
for dual specialization. In the area of finance, an advanced course on Financial
Analytics is offered which covers the salient features of global financial
markets and state-of-the-art Analytical and Artificial Intelligence tools to
analyze financial data for various practical implications. Similarly, in
Marketing Specialization, Marketing Analytics course is also offered.
Throughout the second year, skill-development workshops in allied areas of
analytics is offered. ‘Empirical Research in Finance’ is one of such workshop
Data Analytics & Artificial
Intelligence Driven Academic
Orientation: Initiatives At Calcutta
Business School

2. 5/27/2021 Calcutta Business School
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that imparts hands on training on Econometric and Machine Learning tools in
a lab environment.
Calcutta Business School is equipped with modern analytical packages like
‘Python’, ‘R’, ‘IBM SPSS’, ‘Weka’ and ‘RapidMiner’ and data repositories
like ‘Prowess’ and ‘Metastock’.The infrastructure is fully utilized by students
and faculty members.
Over the last 3 years, faculty members have put their effort to conduct research
in the area of analytics to build research environment in the academic program
of Calcutta Business School. Often, students actively engage themselves in
research too. Few selected research outcome are listed below:
1. Tamal Datta Chaudhuri and Indranil Ghosh (2018). Empirical
Research in Finance. Lap Lambert Academic Press, ISBN: 978-
613-9-89435-2.
2. Indranil Ghosh, Tamal Datta Chaudhuri (2017). Fractal
Investigation and Maximal Overlap Discrete Wavelet
Transformation (MODWT)-based Machine Learning Framework
for Forecasting Exchange Rates. Studies in Microeconomics, Vol.
5(2), pp. 1-27.
3. Jaydip Sen, Tamal Datta Chaudhuri (2017), Understanding the
Sectors of Indian Economy for Portfolio Choice. International
Journal of Business Forecasting and Marketing Intelligence,
https://doi.org/10.1504/IJBFMI.2018.090914.
4. Jaydip Sen, Tamal Datta Chaudhuri (2017). Analysis and
Forecasting of Financial Time Series Using R: Models and
Application. Scholars' Press, Germany, ISBN: 978-3-330-65386-3.
5. Payal Pattnaik (2016). Using Wavelet Decomposition and Cross
Correlation Analysis for Portfolio Formation. Presented at 8 th
International Conference on Strengthening Strategies, Shaping
Policies and Empowering Personnel: Key to Organizational
Competitiveness, Held at Prestige Institute of Management,
Gwalior. (Student Contribution)