Department of Management
- Program CodeBBA-005
- Duration 3 Years
- LevelGraduate Programme
- Department Department of Management
The rapid expansion of data-driven decision-making and digital transformation has reshaped modern business practices globally. To meet the growing demand for professionals skilled in analytics and managerial decision-making, Invertis University proposes a BBA in Business Analytics.
The programme offers a strong foundation in management, economics, and finance, combined with specialized training in analytics, data visualization, statistical analysis, and predictive modelling using tools like Python, R, SQL, and AI-based applications. Aligned with NEP 2020, it emphasizes experiential and industry-linked learning. The programme aims to produce analytically competent, ethically responsible graduates prepared for analytics careers or higher education.
1,00,000 1stYr.
1,00,000 2ndYr.
1,00,000 3rdYr.
60% (55% FOR SC/ST) MARKS IN 10+2
Admission can be sought on the basis of:
- National level entrance exams – NTA CUET
- University Entrance Test – in case seats are vacant
- Merit based direct admission
At the end of the program the student will be able to:
PO 1
PO-1
Apply fundamental management principles and business knowledge to analyze and solve organizational problems using data-driven approaches.
PO 2
PO-2
Use statistical, analytical, and quantitative techniques to interpret business data and support effective managerial decision-making.
PO 3
PO-3
Employ modern analytics tools and technologies such as Python, R, SQL, Excel, and data visualization platforms to generate actionable business insights.
PO 4
PO-4
Demonstrate critical thinking, problem-solving ability, and analytical reasoning in addressing complex and dynamic business situations.
PO 5
PO-5
Exhibit ethical responsibility, effective communication skills, and teamwork while handling data and presenting analytical outcomes in professional settings.
PEO1
PEO-1
To prepare graduates with strong foundational knowledge in business management and analytics, enabling them to analyze and solve real-world business problems effectively.
PEO2
PEO-2
To develop professionals capable of using data-driven and analytical tools for informed decision-making across functional areas of business.
PEO3
PEO-3
To equip graduates with industry-relevant technical, communication, and teamwork skills necessary for successful careers in business analytics and related domains.
PEO4
PEO-4
To encourage ethical practices, social responsibility, and professionalism in the collection, analysis, and application of business data.
PEO4
PEO-5
To motivate graduates towards lifelong learning, higher education, professional certifications, and continuous skill development in analytics and emerging business technologies.
- Business Analyst
- Data Analyst
- Junior Data Scientist
- Business Intelligence (BI) Analyst
- Management Trainee (Analytics)
- Marketing Analytics Executive
- Financial / Risk Analytics Executive
- Operations & Supply Chain Analyst
- HR Analytics Executive
- Consulting Analyst
- Reporting & MIS Analyst
- Decision Support Analyst
- Students may pursue higher education such as MBA, M.Sc./M.A. in Analytics, Data Science, or professional certifications in business analytics and related domains.
