Aicte approved management colleges in Mumbai

PGDM – Business Analytics AICTE Approved

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From managing and understanding vast amounts of data to incorporating new automation tools into business workflows, the challenges facing businesses today are much more technologically complex and varied than in years past, and they require the skills of both business managers and analytical minds of computer literate personnel or engineers.

That’s why leaders with broad management skills and deep expertise in analytical approaches and processes, who can design, develop, and launch new human-centric products and solutions to society’s problems, are in high demand. To address this need, MKES Business School (MKES- IMSR) has launched the PGDM – Business Analytics program, teaching both business skills and cutting-edge science to those who want to launch new companies or become leaders in an established technological enterprise.

Semester I

SR. No	Core Courses	Course Credit
1.	Business Perspective	3
2.	Business Communication Skills	3
3.	Financial Statement Analysis	4
4.	Business Statistics and Analytics (Using Excel)	4
5.	Business Economics	4
6.	Entrepreneurship Management	4
7.	Marketing Management	4
8.	Organization Behavior	3
9.	Artificial Intelligence and Robotics Process Automation	4
	Total Credits	33

Semester II

SR. No	Core Courses	Course Credit
1.	Operations Management	4
2.	Business Research Methodology (including projects)	4
3.	Business News Analysis	3
4.	Financial Management	4
5.	Consumer Behavior	4
6.	Management Accounting	3
7.	Campus to Corporate (Workshop Mode)	3
8.	Data Analysis and Decision Making	3
9.	Introduction to Python and SQL	4
	Total Credits	32

Semester III

SR. No	Core Courses	Course Credit
1.	DBMS, Data Warehousing and Mining	4
2.	Machine Learning, I	3
3.	Machine Learning II	3
4.	Advance Marketing Analytics	3
5.	FinTech	4
6.	Natural Language Processing	4
7.	R for Business Analytics	4
8.	Project in Business Analytics	3
9.	Big Data	4
10.	Summer Internship	6
	Total Credits	38

Semester IV

SR. No	Core Courses	Course Credit
1.	Environment Sustainability and Governance	4
2.	Visual Analytics	4
3.	Capstone Project	6
4.	Time Series using R	3
5.	Advance Financial Analytics	3
6.	Deep Learning	3
	Total Credits	23

SEM 1	SEM 2	SEM 3	SEM 4	TOTAL
33	32	38	23	126