GLS University Ahmedabad BBA {Hons.} Business Analytics: Fees 2026, Course Duration, Dates, Eligibility

Ans. The BBA Business Analytics program at GLS University provides comprehensive training in industry-standard tools and programming languages. In semester 3, you will learn Structured Query Language (SQL) and Statistics with R. Semester 4 covers Python Programming and Data Visualization using Tableau. Advanced topics in semesters 5 and 6 include Big Data Analytics, Machine Learning and Artificial Intelligence, Social Media Analytics, and Natural Language Processing. These skills are directly applicable to real-world analytics projects and are highly valued by employers in the IT, finance, and e-commerce sectors.

Ans. The collaboration with Institute of Analytics, UK ensures that the BBA Business Analytics curriculum aligns with global standards and best practices in data analytics. This partnership brings international expertise into the classroom, exposes students to global analytics trends and methodologies, and enhances the credibility of the degree in the international job market. Students benefit from curriculum designed by international experts, access to global case studies and datasets, and recognition of their qualification by international employers. This collaboration also opens opportunities for students to pursue advanced certifications or higher education at international institutions.

Ans. BBA Business Analytics graduates have diverse career opportunities across multiple sectors. Common roles include Business Analyst, Data Analyst, Business Intelligence Analyst, Analytics Manager, Data Scientist, and Machine Learning Engineer. Employers include IT companies like TCS and Infosys, financial institutions like ICICI Bank and HDFC, e-commerce platforms like Amazon and Flipkart, consulting firms like Deloitte and Accenture, and startups focused on data analytics. The average salary for analytics professionals ranges from Rs 4-5 LPA for entry-level positions, with experienced professionals earning significantly higher. The field offers excellent growth prospects as organizations increasingly rely on data-driven decision making.

Ans. Yes, the BBA Honours program at GLS University allows students to pursue dual specialization. You can combine Business Analytics with another major specialization such as Advanced Finance, Digital Marketing, Entrepreneurship, or other available options. This dual specialization approach allows you to earn more credits over the three-year course and develop expertise in complementary areas. For example, combining Business Analytics with Advanced Finance prepares you for roles in financial analytics and risk management, while combining it with Digital Marketing prepares you for roles in marketing analytics and customer insights.

Ans. The BBA Honours program with Business Analytics specialization is more rigorous and specialized compared to the regular BBA. The Honours program includes advanced technical courses in programming, machine learning, and artificial intelligence that are not part of the regular BBA curriculum. The Honours program requires 162 credits over six semesters with specific focus on analytics specialization, while the regular BBA offers broader business management training. Both programs have the same total fees of Rs 2,64,000, but the Honours specialization provides deeper technical expertise and better preparation for analytics-focused careers. The Honours program also offers dual specialization opportunities, allowing students to combine analytics with other business domains.

Ans. Yes, GLS University emphasizes practical learning and internship opportunities throughout the BBA program. The curriculum includes internship opportunities every semester, allowing students to gain hands-on experience in real business environments. From the second year onwards, students can participate in summer internships with IT companies, financial institutions, e-commerce platforms, or consulting firms working on actual analytics projects. The program includes live projects with industry partners where students work on real-world datasets and business problems. Additionally, the university's Finance Club and other student organizations organize workshops and guest lectures from industry professionals. Students are encouraged to work on their own analytics projects as part of their coursework, and the university provides mentorship and resources to support student initiatives in data science and analytics.