Chandigarh University Bachelor of Business Administration [BBA] {Hons.} (Research) Business Analytics: Fees 2026, Course Duration, Dates, Eligibility

Ans. The BBA Business Analytics at CU is structurally different from a regular BBA. While a standard BBA covers general management subjects, this program is built around data analytics, with subjects like Python for Business, SQL, Tableau, Power BI, Predictive Modelling, and Machine Learning forming the core. The SAS collaboration means students work on the same software used by Fortune 500 companies and earn globally recognised SAS certifications. Students who have gone through both programs consistently note that the analytics curriculum is far more technical and career-specific than a general BBA.

Ans. The 28 LPA figure represents the highest package offered, not the average. Based on available placement data, the average package for BBA Business Analytics graduates from CU typically ranges between 4 LPA and 8 LPA for most students. Top performers with strong SAS certifications, Python skills, and internship experience have secured packages in the 12-18 LPA range at companies like Cognizant, Evalueserve, and Futures First. The 28 LPA is an outlier. Students should set realistic expectations while understanding that the program does provide a strong foundation for analytics careers.

Ans. Yes, students from any stream (Science, Commerce, or Arts) are eligible to apply as long as they have 50% marks in Class 12. The program is designed to build analytics skills from scratch, so prior knowledge of mathematics or statistics is not mandatory. However, students from non-science backgrounds should be prepared for a learning curve in subjects like Python, statistics, and data modelling. CU provides value-added courses and tutorials to help bridge this gap, and most students from Arts backgrounds who are motivated and consistent have successfully completed the program.

Ans. Both variants follow the same core curriculum for the first three years. In the Hons. with Research pathway, the final year includes a mandatory research dissertation where students work on an original research project under faculty supervision. This pathway is recommended for students who wish to pursue an MBA or PhD after graduation, as it demonstrates research aptitude. The Hons. pathway, on the other hand, focuses more on industry projects and internships in the final year. Both variants carry the same degree title and fee structure.

Ans. Yes, the SAS collaboration is substantive. Students get access to the SAS Learning Management System (LMS) throughout the program, which includes SAS software, online courses, and practice datasets. The curriculum includes SAS-specific modules on Visual Statistics, Data Mining, and Business Analytics. Students who complete the required coursework and pass the SAS certification exams (conducted by SAS Institute) earn globally recognised credentials: SAS Certified Associate (Modelling Using SAS Visual Statistics) and SAS Visual Business Analyst Specialist. These certifications are valued by analytics employers globally and are a genuine differentiator for CU graduates in this program.

Ans. CUCET is a university-level entrance test and is generally considered moderate in difficulty, covering topics in English, Reasoning, and General Awareness. It is significantly easier than national-level exams like CUET or CAT. A student with average Class 12 marks (around 60-70%) can still score well in CUCET with basic preparation and secure a 25-30% scholarship. The exam is conducted in a computer-based format with multiple date options, giving students flexibility. Even students who do not score high in CUCET can gain admission on the basis of their Class 12 marks, though they would not be eligible for CUCET-based scholarships.