Business Analytics Course Guide for a Lucrative Future

26Sep,2020
By Sanjeet Nayak

Business Analytics is used by Companies to data-driven decision-making. Simply it’s a study of data through statistical and operations analysis, the formation of predictive models, applications used for optimizing techniques, etc. This branch of management involves exploration and analysis of present data to gain insight into the planning and execution of future business strategy and goals. Business Analytics helps in optimizing operations, increasing revenue by saving on operational cost, improve better customer relations, and predict future trends in the market thereby enabling accurate strategic decisions and business plans.

What the course focuses on?

  • Learning how to generate data using different tools.
  • Training in proper tools of data analysis.
  • Planning business strategies and goals
  • Techniques for predicting future trends
  • Procedure for analyzing customer relations  

Highlights:

Course Name  Business Analytics
Course Level MBA, PG Diploma
Duration
  • MBA in Business Analytics (Master/Postgraduate): 2 Years
  • PG Diploma in Business Analytics: 2 Years or 1 Year
Examination Type Semester
Eligibility Varies with course
Admission Process Merit and Entrance based admission 
Top Recruiters Accenture, Hewlett Packard, IBM, Cognizant, Tata Consultancy Services, American Express, Amazon, Eureka Forbes, etc
Top Career Scopes Business Analyst, Quantitative Analyst, Data Analyst, Business Intelligence Expert, etc

Top Colleges

Eligibility:

Course Duration Eligibility Entrance
MBA in Business Analytics 2 years
  • The students should have completed their Bachelor’s degree or Master’s degree from any recognized university.
  • Minimum marks should be 50% or above.
CAT, MAT, GMAT, XAT, CMAT, SNAP, etc.
PG Diploma in Business Analytics 2 Years or 1 Year
  • The students should have completed their Bachelor’s degree from any recognized university.
  • Minimum marks should be 50% or above.
CAT, MAT, GMAT, XAT, CMAT, SNAP, etc.

Skills Required

  • Excellent Communication Skills
  • Inquisitive Minds
  • Problem Solving Abilities
  • Critical Thinking Abilities
  • Visualization
  • Detail Oriented
  • Ability to concentrate on the big picture

Syllabus:

MBA in Business Analytics

Semester 1 Semester 2
Quantitative Methods Financial Management
Management Information Systems Operations Management
Managerial Economics Human Resource Management
Financial Accounting Financial Analytics
Marketing Management Optimization Analytics
Organizational Behaviour Stochastic Modeling
Statistical Analysis Business Intelligence
Data Modeling Research Methods
Computational Methods
Managerial Communication
Semester 3 Semester 4
Predictive Analytics Strategic Management
Risk Management Operations and Supply Chain Analytics
Marketing Analysis HR Analytics
Data Mining Big Data Analytics
Simulation Modeling Ethical and Legal Aspects of Analytics
Analytics Systems Analysis & Design Project Management
Industry Internship Program Professional Development
Elective Paper
Analytics Capstone Project

PG Diploma in Business Analytics

Module 1 Module 2
Management Functions & OB Operations Management
Business Statistics Human Resource Management
Managerial Economics Marketing Management
Introduction to IT Systems Research Methodology
Business Communication Financial Management
Financial Accounting Economics and Social Environment
Module 4 Module 5
Introduction to Big Data Business Law 
Data Analytics Using R International Business
Data Analytics Using SAS Entrepreneurial Management
Advanced Analytics Enterprise Systems
Applied Statistics Management Accounting
Study Development Corporate Governance
Case Business Simulation Project Work

PG Diploma in Business Analytics (Online)

First Semester Second Semester Electives Electives Electives
Quantitative Methods Predictive Analytics Financial Analytics Supply Chain Analytics Analytics for Investment Banking
Data Visualization and Communication Analytics for Competitive Advantage Project Management Analytics for Marketing Financial Risk Models
Advanced Statistical Methods Elective 1 Analytics for HR Analytics for Retail Industry Analytical Models in Finance
Foundations of Data Science Elective 2 Models in Marketing Operations Research Models

Admission Process:

The top colleges in India that offer a degree in Business Analytics have entrance based selection process. Some colleges have their own entrance exams like SNAP, however many institutions accept the scorecard of various national level entrance exams like CAT and MAT. Moreover, there institutes that have a merit-based admission process in which students are selected on the basis of their marks secured in the last academic session.

Top Entrances

CAT

  • Admit Card Download: October 28 - November 29, 2020
  • Exam Date: November 29, 2020 (Sunday)
  • Mode of Exam: Computer-Based

MAT

  • Exam date: 3 October 2020
  • IBT Exam date: 1 September 2020 (Slot 6), 2 September 2020 (Slot 7)
  • Exam Level: National

XAT

  • Mode of exam: Online
  • Type of questions: Objective and Subjective
  • Exam date: 3 January 2021 (9:30 AM - 12:30 PM)

GMAT

  • Exam Level: International
  • No.of attempts: 5 times a year
  • Exam Frequency: Throughout the Year

CMAT

  • Exam Level: National
  • Mode of Exam: Online (Computer- Based)
  • Duration of Exam: 3 hrs

SNAP

  • Exam Type: National Level
  • SNAP 2020 Exam Dates: 20 December 2020 (Sunday), 6 January 2021 (Wednesday), 9 January 2021 (Saturday)
  • Result declaration: 22 January 2021

Career Scope

Job profile

Average salary per year

Business Analyst 8.6 lakhs
Quantitative Analyst 7 lakhs
Data Analyst 6.2 lakhs
Business Intelligence Expert 5.4 lakhs

Top Recruiters

Company Name Company Name Company Name Company Name Company Name Company Name Company Name Company Name Company Name Company Name
Accenture Hewlett Packard IBM Cognizant Tata Consultancy Services American Express Amazon Dell Eureka Forbes Flipkart
Future Generali Genpact Google GODREJ HCL IGATE IndusInd Bank Info Edge (India) Ltd ITC ITCInfotech
JSW Steel Le-Meridian Motorola Newgen Oberoi Radisson RBS (Royal Bank of Scotland) Verizon

Top Hiring Cities:

  • Delhi
  • Mumbai
  • Bangalore
  • Hyderabad

FAQs

Q:  What is the future scope of MBA or PGDM in Business Analytics in India?
A:  
As per a recent survey, the CAGR (Compounded Annual Growth Rate) of jobs in the emerging fields like Business Analytics, ML (Machine learning), AI (Artificial Intelligence), and BlockChain is 40%. India is going to be the biggest supplier of such resources and manpower to the world soon and this will generate a large number of opportunities.

Q: What can we learn before going for an MBA or PGDM in Business Analytics?
A:
 You can simply introduce yourself to some of the important concepts of statistics like sigma, sample, sampling techniques, mean, median, mode, normal curves, graphs, R, etc.

Q: Which college is best for doing MBA or PGDM in Business Analytics in India?
A: 
There are many top colleges that offer an MBA in Business Analytics like IIMs, XLRI, FMSMDI, IIFT, UPES, etc. 

Q: Does an MBA or PGDM in Business Analytics require command over programming languages like Java or PHP?
A: 
Programming Languages are not required unless you are getting into analytical product development However, you will mostly have to learn to code in SAS, R, Python, SQL, etc. for data processing. Again, if you are joining in a managerial role, you can get away with basic familiarity with these programming languages. But, if you really want to learn the skills of the trade, you will need to learn these in greater detail. 

Q: What are career prospects after MBA or PGDM in Business Analytics?
A: 
Successful postgraduates can secure jobs as Business Analyst, Business Analyst Industry Expert, Business Analyst Project Manager, Data Analyst, Big Data Analyst, Data Warehousing Expert, Business Intelligence Expert, and Data Mining Expert, etc. Industries such as Financial Services, Retail, Manufacturing, Healthcare, Oil and Gas, Social Media, Gaming, will also offer employment to candidates. Some of the well-known employers are Accenture, HP, IBM, Cognizant, Tata Consultancy Services, American Express, and so on.

 

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