Overview
BBA Premium in Business Analytics can offer numerous benefits, including high demand for professionals with data analysis skills, diverse career opportunities in various fields, a competitive edge in the job market, potential for innovation and entrepreneurship, and a future-proof career path. With the increasing use of data in business decision-making, specializing in Business Analytics can provide students with the skills and knowledge necessary to excel in this field and remain in high demand for the foreseeable future.
Course Objective
- Developing a strong foundation in business and economics: Students will gain a thorough understanding of core business and economic principles, including accounting, finance, marketing, and management.
- Acquiring analytical skills: Students will learn how to collect, manage, and analyze large sets of data using various tools and techniques such as statistical analysis, data visualization, and predictive modeling.
- Understanding the application of data analysis in business decision-making: Students will learn how to interpret and communicate data insights to inform business strategies and decision-making processes.
- Learning about emerging trends in business analytics: Students will stay up-to-date on the latest technologies and tools in the field of business analytics, including machine learning, artificial intelligence, and big data.
- Developing problem-solving and critical thinking skills: Students will learn how to apply analytical and creative thinking to solve complex business problems and make strategic decisions.
- Enhancing communication and presentation skills: Students will learn how to effectively communicate data insights and business recommendations to stakeholders through various mediums such as reports, presentations, and visualizations.
Course Modules
Semester 1
| Course Module | Hours |
|---|---|
| Statistics for Business Analytics | 10 Hours |
| Data Management and Warehousing | 5 Hours |
| Marketing Analytics | 5 Hours |
| Total | 20 Hours |
Semester 2
| Course Module | Hours |
|---|---|
| Business Intelligence and Visualization | 8 Hours |
| Supply Chain Analytics | 5 Hours |
| Financial Analytics | 7 Hours |
| Total | 20 Hours |
Semester 3
| Course Module | Hours |
|---|---|
| Optimization and Simulation Techniques | 10 Hours |
| Business Strategy and Analytics | 5 Hours |
| Programming languages | 5 Hours |
| Total | 20 Hours |
Semester 4
| Course Module | Hours |
|---|---|
| Operations Analytics | 10 Hours |
| Data Mining | 5 Hours |
| Machine learning platforms | 5 Hours |
| Total | 20 Hours |
Semester 5
| Course Module | Hours |
|---|---|
| Data visualization tools | 6 Hours |
| Machine Learning and Artificial Intelligence | 10 Hours |
| Statistical software | 4 Hours |
| Total | 20 Hours |
Semester 6
| Course Module | Hours |
|---|---|
| Predictive Analytics and Forecasting | 7 Hours |
| Business Intelligence | 8 Hours |
| Database management systems | 5 Hours |
| Total | 20 Hours |
Related Certifications
Students can pursue any 2 certifications during the tenure of the course:
- Certified Analytics Professional (CAP)
- SAS Certified Data Scientist
- IBM Certified Data Architect – Big Data
- Microsoft Certified: Azure Data Scientist Associate
- Tableau Desktop Certified Associate
Related Tools
- Tableau
- SQL: SQL (Structured Query Language)
- Python and R
- SAS: SAS (Statistical Analysis System)
- Power BI
- Hadoop
- Apache Spark
Internships
After the completion of second semester the students have to compulsory go for a 2 month internship, after completion of 1st year of the course, to get the relevant industry exposure. Some of the organisations where the students will be provided internships are:
Program Outcomes
- High demand for business analytics professionals: With the increasing use of data in business decision-making, there is a high demand for professionals who have a strong understanding of data analysis and interpretation. Specializing in Business Analytics can provide students with the skills and knowledge necessary to excel in this field and meet the growing demand for data-driven professionals.
- A wide range of career opportunities: Graduates with a specialization in Business Analytics can pursue a diverse range of career opportunities, including roles in data analysis, business intelligence, marketing analysis, financial analysis, and more. This can open up exciting and rewarding career paths for individuals who are interested in using data to drive business outcomes.
- Enhanced job prospects and earning potential: By specializing in Business Analytics, graduates can gain a competitive edge in the job market as they possess a unique skill set that is highly valued by employers. This can lead to higher salaries, better job security, and more opportunities for career advancement.
- Potential for innovation and entrepreneurship: Business Analytics is often the driving force behind innovation and entrepreneurship in today’s business world. By specializing in this field, students can develop the skills and knowledge necessary to start their own businesses or create new products and services.
- Future-proof career: As data continues to play an increasingly important role in business decision-making, individuals with a strong understanding of Business Analytics are likely to remain in high demand for the foreseeable future. Specializing in Business Analytics can provide students with the knowledge and skills necessary to adapt to the changing business landscape and stay ahead of the curve.