Business Analytics
Course Details
- No. of Credits : 108
- No of Instructional Hours: 1030
- Fee Structure: 1.5 Lacs for Annum
Conduct of Program
- Academic Year Starts from 15th July 24
- Semester - 1 : 20 Weeks
- Prohect : 2 Weeks
- Semester - 2 : 18 Weeks
- Summer Internship : 10 Weeks
Lecture Schedule
- 5 Days a week Mon - Fri 30 Hrs per week
- 1st Session : 9:30 AM to 11:30 AM
- Break: 11:00 AM to 11:15 AM
- 2nd Session : 11:15 AM to 12:45 PM
- Lunch : 12:45 PM to 1:30 PM
- 3rd Session : 1:30 PM to 2:45 PM
- Break: 2:45 PM to 3:00 PM
- 4th Session : 3:00 PM to 4:30 PM
Practical Learning
- No. Of Weeks : 38
- No. Of Instructional Hours : 30
- No. Available Hours : 1140 Hours
Value Added Courses For You !
Corporate Skills for Executives
Microsoft Excel Certification
Personal Branding & Networking
Tally with CRP
Banking & Finance
PGDM Specialization in Business Analytics
Creating clear and effective program objectives for a Business Analytics program is crucial to ensure that students gain the knowledge and skills they need to excel in the field. Here are some comprehensive objectives that can guide the curriculum of a Business Analytics program.
Course Outcomes
Upon completing the Business Analytics course, students will master data collection, management, and analysis techniques, gain proficiency with analytical tools, apply statistical methods, and create data visualizations. They will learn to solve business problems, build predictive models, enhance decision-making, address ethical issues, and effectively communicate findings, equipping them for success in a data-driven business environment.
Program Highlights
- Foundational Knowledge and Skills: Provide education in statistics, data analysis, machine learning, and business fundamentals. Ensure students can apply these concepts to solve real-world business problems.
- Technical Proficiency: Training students using software and programming languages commonly used in business analytics, such as Python, R, SQL, Excel, and visualization tools like Tableau or Power BI.
- Data Management and Governance: Teach students how to collect, clean, manage, and protect data. Cover topics like data warehousing, ETL processes, data privacy, and compliance.
- Analytical Thinking and Problem-Solving: Encouraging students to approach problems methodically, leveraging data-driven decision-making techniques. Emphasize hypothesis testing, model building, and evaluation.
Job Opportunities
Upon completion of the program, graduates are well-equipped to pursue rewarding careers in various sectors of the Business Analytics industry, including:
Data analyst
Business analyst
Data scientist
Consultant in Analytics
Machine Learning Engineer
Analytics consultant
Quantitative Analyst
Customer Insights Analyst
PGDM Program Structure
Semester - 1
| S.No | Name of the Course | Credits |
|---|---|---|
|
1 |
Management theory & Practice
|
2 |
|
2 |
Statistics for Managers
|
3 |
|
3 |
Accounting for Managers
|
3 |
|
4 |
Macro Economics
|
3 |
|
5 |
Business Communication
|
2 |
|
6 |
Principles of Marketing
|
3 |
|
7 |
Financial Management
|
3 |
|
8 |
IT for Managers
|
3 |
|
9 |
Introduction to Retailing
|
2 |
|
10 |
Viva-voce & Industrial Visit
|
2 |
|
|
Mini Project
|
|
|
|
Total |
26 |
Semester - 2
| S.No | Name of the Course | Credits |
|---|---|---|
|
1 |
Organization Behaviour
|
2 |
|
2 |
Human Resource Management
|
3 |
|
3 |
Operations Management
|
3 |
|
4 |
Intoduction to Fintech
|
2 |
|
5 |
Business Research Methods
|
2 |
|
6 |
Business and society
|
2 |
|
7 |
Basics of Banking , Financial Services and Insurance
|
3 |
|
8 |
Cost and Management Accounting
|
3 |
|
9 |
Corporate skills for Executives
|
2 |
|
10 |
Viva-voce & Industrial Visit
|
2 |
|
|
Mini Project
|
|
|
|
Total |
25 |
Semester - 3
| S.No | Name of the Course | Credits |
|---|---|---|
|
1 |
Business Laws
|
2 |
|
2 |
Business Policy & Strategic Management
|
3 |
|
3 |
Entrepreneurship
|
3 |
|
4 |
Elective 1
|
3 |
|
5 |
Elective 2
|
3 |
|
6 |
Elective 3
|
3 |
|
7 |
Elective 4
|
3 |
|
8 |
Elective 4
|
3 |
|
9 |
Viva-voce & Industrial Visit
|
2 |
|
|
Total |
25 |
Semester - 4
| S.No | Name of the Course | Credits |
|---|---|---|
|
1 |
Corporate Governance and Business Ethics
|
2 |
|
2 |
International Business
|
3 |
|
3 |
Application of Emerging Tech (AR, VR)
|
2 |
|
4 |
Elective 6
|
3 |
|
5 |
Elective 7
|
3 |
|
6 |
Elective 8
|
3 |
|
7 |
Elective 9
|
3 |
|
8 |
Viva-voce & Industrial Visit
|
2 |
|
9 |
Campus to Community
|
3 |
|
|
Total |
24 |
Elective
| S.No | Name of the Course | Credits |
|---|---|---|
|
1 |
Introduction to Business Analytics
|
3 |
|
2 |
Data warehouse and Analysis
|
3 |
|
3 |
Introduction to Machine Learning
|
3 |
|
4 |
Data Visualization and Descriptive Analytics
|
3 |
|
5 |
Exploratory Data Analysis
|
3 |
|
6 |
Risk analytics
|
3 |
|
7 |
Artificial Intelligence and Deep Learning
|
3 |
|
8 |
Big Data Analytics
|
3 |
|
9 |
Advance Machine Learning Algorithm Using Python
|
3 |
|
10 |
Web Analytics
|
3 |
|
|
Total |
25 |
