Page 36 - MBA curriculum and syllabus R2017 - REC

Department of MBA, REC

BA17208 DATA ANALYSIS AND BUSINESS MODELING LT P C
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OBJECTIVE
 to have hands- on experience on decision modeling

[Business models studied in theory to be practiced using Spreadsheet / Analysis Software]

Details of experiments
S.No. Exp. No. Duration
Name
1 1 Descriptive Statistics 4
2 2 Hypothesis - Parametric 4
3 3 Hypothesis – Non-parametric 4
4 4 Correlation & Regression 4
5 5 Forecasting 4
6 - Extended experiment – 1 4
7 6 Portfolio Selection 4
8 7 Risk Analysis & Sensitivity Analysis 4
9 8 Revenue Management 4
10 - Extended experiment – 2 4
11 9 Transportation & Assignment 4
12 10 Networking Models 4
13 11 Queuing Theory 4
14 12 Inventory Models 4
15 - Extended experiments – 3 4

 Spreadsheet Software and
 Data Analysis Tools
TOTAL: 60 PERIODS
REQUIREMENTS for a batch of 30 students

1. Personal Computers – 30 nos
2. Any licensed Spreadsheet and Analysis software like Microsoft Excel, SPSS etc– 30 user licenses

OUTCOMES

After completing the course, the Learners should be able to :

1. Demonstrate how analytical techniques and statistical methods can enhance decision making by converting
data to information and insights for decision making.

2. Critically evaluate various short-term forecasting and regression models and identify their appropriate use
and limitations.

3. Effectively communicate the analysis, outcomes, assumptions and implications through spreadsheet
models and presentations.

4. Demonstrate queuing theory, assignment and transportation models for resource allocation and
optimization.
5. Interpret the analytical model results in the context of business situation.

Curriculum and Syllabus | Master of Business Administration | R2017 Page 36