BCA Data Science

⏱️ Duration

3 / 4 Years

🎓 Certification

BCA in Data Science

💼 Career Support

Placement and internship opportunities in data-driven firms.

Expert-led training in Big Data, ML and Predictive Analytics.

Global exposure & regular industry workshops.

Unlock the Data

Turn information into insight and master the world of Big Data.

Eligibility Criteria

As notified by the Government of Karnataka from time to time.
A candidate who has passed the two years Pre-University Examination conducted by Board of Pre-University Education, Karnataka State or any other 10+2 boards of any state in India or its equivalent recognised by the UGC.
Any student who has passed PUC – II Science, Arts or Commerce securing a minimum of 40% of marks. However, in the case of candidates from Karnataka belonging to SC/ST/CAT-1, Marks shall not be less than 35%.
A candidate who has passed JODC – with mathematics, Accountancy, Computer Science, and Electronics as one of the subjects studied / Three years Diploma in Engineering of Government of Karnataka or any other examination considered as equivalent thereto shall be eligible for admission.

Program Highlights

3-Year Undergraduate Program
2 – Year Post graduate Program
Emphasis on hands-on training through labs, projects, and internships to develop practical skills
Focus on current industry tools and technologies to prepare students for real-world IT and software development roles.
Enhances problem-solving, analytical thinking, and programming skills essential for a career in IT.
Career Opportunities in BCA Opens pathways to roles such as software developer, system analyst, network administrator, web designer, and more.
Strong Programming Focus: Learn languages like C, C++, Java, Python, and web technologies (HTML, CSS, JavaScript).
Core Computer Science Subjects: Covers data structures, DBMS, operating systems, networking, and software engineering. Options to specialize in areas like web development, mobile app development, cybersecurity, or data science in higher years or through electives.
Practical Learning Approach: Emphasis on lab sessions, coding projects, and real-world application.
Exposure to Emerging Technologies: Includes topics like cloud computing, data analytics, AI, and cybersecurity, Big Data Analytics (varies by institution).
Career-Oriented Training: Soft skills, aptitude, and interview preparation included for better job readiness.
Internships & Industry Projects: Opportunities for hands-on experience through internships and Cap-Stone projects.
Workshops, Hackathons & Seminars: Regular events to encourage innovation, teamwork, and networking.
Higher Education Opportunities: Smooth pathway to MCA, MBA (IT), or certifications like AWS, Google Cloud, Data Science, etc.