BBA IN ARTIFICIAL INTELLIGENCE, DATA SCIENCE AND ANALYTICS

BBA IN ARTIFICIAL INTELLIGENCE, DATA SCIENCE AND ANALYTICS

Overview:

The BBA in Artificial Intelligence, Data Science, and Analytics at Srinivas University is a three-year graduate program designed to develop future-ready business professionals with expertise in AI-driven decision-making, data analysis, and intelligent systems. This program equips students with in-demand skills to harness the power of artificial intelligence and data science for solving complex business challenges. With a strong focus on emerging technologies and analytical tools, students gain practical knowledge in machine learning, predictive analytics, big data, business intelligence, and data-driven strategy. The curriculum prepares graduates for high-growth careers in AI applications, data analytics, business strategy, and digital transformation—empowering them to lead in the rapidly evolving, technology-driven global marketplace.

Objectives:

  • Develop Analytical and Data-Driven Decision-Making Skills – Equip students with strong analytical thinking, data interpretation, and problem-solving abilities using AI and data science tools for strategic business decisions.
  • Build Competency in Artificial Intelligence and Machine Learning – Provide foundational and applied knowledge in AI, machine learning, and intelligent automation to solve real-world business challenges.
  • Enhance Proficiency in Data Science and Big Data Technologies – Train students in data mining, big data analytics, statistical modeling, and data visualization using industry-standard platforms and programming languages.
  • Foster Innovation and Tech-Driven Entrepreneurship – Cultivate entrepreneurial and leadership qualities to empower students to develop innovative solutions and lead data-centric businesses in a digital economy.
  • Integrate Business Intelligence with Advanced Technologies – Enable students to blend AI, predictive analytics, and cloud computing with core business practices for strategic growth and operational efficiency.
  • Encourage Ethical and Responsible Use of Technology – Instill a deep understanding of data ethics, privacy, cybersecurity, and the responsible use of AI in business and society.
  • Prepare for Industry 4.0 Careers – Ensure students are equipped with industry relevant skills and hands-on experience through internships, projects, and case studies in AI, data science, and analytics roles.
  • Support Lifelong Learning and Academic Advancement – Lay a strong foundation for higher education such as MBA, MS in Data Science, or specialized certifications in AI, machine learning, and analytics.

Features:

  • Classes will be held between 9.15 am to 2.00 pm
  • E-Study material will be provided from the college for every subject according to the syllabus.
  • Industry oriented syllabus with special focus on experimental learning.
  • Innovations in examination system with opportunity for personal seeing of evaluated papers.
  • 50% weightage of marks on continuous evaluation and 50% weightage on semester end exam.
  • Make-up exams in every semester to avoid year loss.
  • Opportunity to take Marketing/Finance Specialization.
  • Placement support and research oriented projects for every student.
  • Focus on smart skill development & training on competitive exams.
  • Opportunity to visit various industries business organizations.
  • Separate Hostel & Transport facility for boys & Girls.
  • Further Opportunity to do MBA, M.Com., M.Phil., & Ph.D. Programmes.
  • Earn while Learn Opportunity in Retail/BPO/Software companies during evening time

Duration:

3 years, six semesters.

Eligibility:

Pass in 10 + 2 / 12th Standard with minimum 50% marks. Admission needs Valid score in SUAT