SRMIST’s Online BCA Degree in Data Science

The eligibility of SRMIST’s Bachelor of Computer Application degreeis as follows:
STUDENTS WITH AN INDIAN EDUCATION MUST HAVE:

• Pass in 10+2 from a recognized board, including NIOS, with at least 50% marks

OR

• Pass in 10+3 or 10+2+2 Diploma in Engineering from a recognized institution/authority with at least 50% aggregate marks

Mandatory Subject: At least one among Mathematics / Business Mathematics / Statistics / Allied Mathematics
STUDENTS WITH A FOREIGN EDUCATION MUST HAVE:

• A Senior Secondary School Certificate (completing 12 years of formal schooling). A diploma will not be accepted.
• Certificate of Equivalence from Association of Indian Universities (required for application to an Indian university).

The admission process for SRMIST’s online BCA degree includes the following steps:
STEP 1: Fill the Application Form

• Register by filling out the online application form.
• Provide pre-university qualifying examination documents.

STEP 2: Profile Evaluation and Screening

• Selection criteria are based on the merit list of the qualifying examination/entrance test/interview.

STEP 3: Join the Program

• If selected, you will receive a letter for the upcoming cohort.
• Secure your seat by paying the admission fee.

*Admission to the program is subject to document verification

Yes. They must have a 12-year Senior Secondary School Certificate and an equivalence certificate from the Association of Indian Universities.

The SRMIST’s online BCA degree is ideal for:

• Pre-university students who have recently passed their (10+2) examination and are looking for a degree in a new-age specialization that can launch their careers.
• Young professionals who want to rapidly prototype ideas and master cutting-edge Data Science tools.
• Learners who are looking for a top-notch Computer Applications degree from one of India’s leading institutes.

The online BCA degree fee total ₹1,29,000.
*Note: The Examination Fee is not included in the Program Fee.

SRM Institute of Science and Technology (SRMIST) offers flexible payment options. For further details, please contact the program advisor.

Yes. An online BCA can be a valuable choice in today's AI-driven job market, especially if you want to build strong foundations in programming, data management, cloud computing, and emerging technologies. While AI is transforming how work gets done, organizations still need professionals who can develop applications, manage data, understand software systems, and work with AI-powered tools.

Yes. Many learners today build successful technology careers through flexible online degree programs that allow them to study alongside work, internships, certifications, or other commitments. An online BCA offers the opportunity to develop in-demand technical skills while maintaining a schedule that fits your personal and professional responsibilities.
Programs that combine academic learning with hands-on projects, internships, and exposure to technologies such as Data Science, cloud computing, and artificial intelligence can help learners gain practical experience and career-ready skills. For students seeking flexibility or professionals looking to transition into technology roles, an online BCA can provide a structured pathway to a career in the tech industry without requiring full-time campus attendance.

Graduates become job-ready for roles such as System Analyst, Web Application Developer, Software Testing Consultant, and Data Science–related positions.

Yes, a structured placement support initiative designed to enhance your employability. With intensive training, industry-led sessions, and guided interview opportunities, OCST prepares you to step confidently into today’s competitive job market.

OCST is a structured placement support initiative that offers hands-on training, industry-led sessions, competitive placement preparation, up to three personalized interview opportunities, and access to an exclusive job fair with top hiring companies.

An online BCA in Data Science can prepare learners for opportunities in software development, business analytics, data operations, cloud technologies, and other technology-focused roles. The combination of computing fundamentals and data science skills can also support future specialization through higher education or professional certifications.