Online BCA Artificial Intelligence & Data Science
The Online BCA in Artificial Intelligence & Data Science from Amrita Vishwa Vidyapeetham is a comprehensive 3-year undergraduate program designed to enrich students with skills in programming, AI, machine learning, data mining, and statistical modeling. This AICTE-approved program prepares graduates for roles in AI development, data science, and related industries through practical expertise in cloud computing, big data analytics, natural language processing, and data visualization tools like Power BI and Tableau. Students gain hands-on experience with real-world challenges and industry-relevant projects to become skilled professionals in the rapidly growing AI and data science sector.
Instructors:
English
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Course Start Date:
Starting soon
Application Deadline:
10th Sep, 2025
Duration:
3-6 Years
₹ 1,65,000
Overview
The Online BCA in Artificial Intelligence & Data Science at Amrita Vishwa Vidyapeetham is a pioneering undergraduate program combining computer applications with specialized expertise in AI and data science. This comprehensive program spans 3-6 years with flexible completion options, designed for students seeking to enter the high-growth AI and data science industry. Students benefit from industry certifications from IBM, Microsoft, Python Institute, and Google, access to international study abroad opportunities, and comprehensive placement assistance. The program is backed by Amrita's NAAC A++ accreditation and recognition as India's 7th-ranked university.
Why BCA (Bachelor of Computer Applications)?
This program stands out through its specialized focus on AI and data science applications combined with multiple industry certifications from leading technology companies. The flexible online format allows students to balance study with other commitments, while the comprehensive curriculum covers both foundational computer science concepts and cutting-edge AI/data science technologies. Students gain access to international opportunities, global networking with peers from 50+ countries, and WES recognition for global career prospects in the rapidly expanding AI and data science sector.
What does this course have to offer?
Key Highlights
AICTE approved program
Industry certifications from IBM, Microsoft, Python Institute, Google
Study abroad opportunities in USA & Europe
Comprehensive placement assistance
NAAC A++ accredited university
Flexible 3-6 year completion timeframe
WES recognized for global opportunities
Zero-cost EMI options available
Who is this programme for?
Fresh graduates seeking AI/Data Science careers
Working professionals transitioning to tech roles
Students interested in programming and analytics
Individuals passionate about artificial intelligence
Career changers targeting data science roles
Students seeking flexible online learning
Minimum Eligibility
Minimum 45% marks in 10+2
Completed 10+2 education
3-year diploma holders can apply
Work experience advantageous
Who is the programme for?
The admission process is streamlined with online application submission and evaluation based on 10+2 academic performance. The program follows a semester system across 6 semesters, balancing core computer science subjects with specialized AI and data science courses. Students can complete the program in 3-6 years depending on their pace and personal commitments.
Important Information
Selection process
How to apply?
Curriculum
The curriculum is structured across six semesters, beginning with computer fundamentals and mathematics, progressing to advanced AI and data science applications. Core subjects include programming languages, database management, data structures, web development, and software engineering, while specialized courses cover machine learning, data mining, cloud computing, big data analytics, natural language processing, and data visualization. Each semester integrates theoretical knowledge with practical applications through labs, case studies, and projects.
There are 6 semesters in this course
The BCA AI & Data Science curriculum spans six semesters with a balanced mix of core computer science subjects and specialized AI/data science courses. Semester 1-2 cover fundamentals including mathematics, programming basics, Java, and database management. Semester 3-4 focus on data structures, algorithms, web development, data mining, and software engineering. Semester 5-6 include advanced topics like machine learning foundations, cybersecurity, mobile development, and a capstone project. Throughout the program, students can choose from specialized electives covering cloud computing, big data analytics, NLP, data visualization tools, and business analytics.
Semester 1
Semester 2
Semester 3
Semester 4
Semester 5
Semester 6
Programme Length
The program offers flexible duration between 3-6 years, allowing students to balance their educational pursuits with work or other commitments. The curriculum is designed with live and recorded sessions, providing maximum flexibility for diverse student needs.
Whom you will learn from?
Learn from top industry experts who bring real-world experience and deep knowledge to every lesson. The instructors are dedicated to help you achieve your goals with practical insights and hands-on guidance.
Instructors
Leader in Algorithms and Software Development
Dr. Swaminathan J. serves as the Chairperson of the Department of Computer Science and Engineering (CSE) and is a Professor at the School of Computing, Amrita Vishwa Vidyapeetham's Amritapuri campus. With an M.Tech and Ph.D., he brings nearly 25 years of experience, including over a decade at Wipro Technologies in various roles such as software engineer and project manager. His research interests include algorithms, program analytics, software verification, and full-stack development. Passionate about teaching, Dr. Swaminathan mentors students in computational thinking and competitive programming, leading initiatives like the ACM Code @Amrita club. He has authored around 30 research publications and actively contributes to curriculum design and faculty mentoring at Amrita.
Leader in Machine Learning and Computer Science Education
Dr. Ani R. is the Chairperson of the Department of Computer Science and Applications (CSA) at Amrita Vishwa Vidyapeetham's Amritapuri campus, where she also serves as an Assistant Professor and oversees the AHEAD CS Programmes. With a BSc and MCA, she brings a wealth of knowledge and experience to her role. Dr. Ani's research interests lie primarily in machine learning, where she explores innovative applications and methodologies to enhance computational processes. Her leadership in the statistical cell and Internal Quality Assurance Cell (IQAC) underscores her commitment to academic excellence and continuous improvement in education at Amrita.
Tuition Fee
The total program fee is ₹1,65,000 payable as ₹27,500 per semester over 6 semesters. Students can opt for a 5% discount by paying annual fees upfront (₹52,250 for the first year). Zero-cost EMI options are available starting from ₹5,000 per month. Additional costs include registration fee of ₹500 and examination fee of ₹2,500 per semester. Scholarships up to 100% are available for eligible candidates.
Fee Structure
Payment options
Financing options
Financial Aid
Learning Experience
Students experience a blend of online learning through an advanced digital platform with live and recorded sessions for maximum flexibility. The program incorporates hands-on labs, case studies, real-world projects, and industry collaborations to ensure practical learning. Regular faculty mentorship, industry certification training, and peer networking opportunities enhance the overall learning experience.
University Experience
Amrita Vishwa Vidyapeetham provides a comprehensive online university experience backed by its prestigious ranking as India's 7th-best university. Students gain access to a global alumni network, international study opportunities, extensive digital resources, and industry partnerships. The university's NAAC A++ accreditation and WES recognition ensure global acceptance of the degree.
Testimonials
Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.
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About the University
Amrita Vishwa Vidyapeetham is a multi-campus, multi-disciplinary, research-intensive private deemed university established in 1994. Headquartered in Ettimadai, Coimbatore, it operates across nine campuses in Amaravati, Amritapuri, Bangalore, Chennai, Coimbatore, Kochi, Faridabad, Mysore, and Nagercoil. The university offers over 300 undergraduate, postgraduate, integrated-degree, dual-degree, and doctoral programs across disciplines including engineering, medicine, management, architecture, natural sciences, Ayurveda, arts & humanities, and social sciences. Founded by humanitarian leader Mata Amritanandamayi, the institution received deemed university status in 2003, becoming one of the youngest institutions to achieve this recognition.
#1001-1200
QS World Ranking 2025
24,500
Total Enrollment
7
NIRF University Ranking 2024
Affiliation & Recognition
NAAC
UGC
Institution of Eminence
NIRF
Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
Instructors
Leader in Algorithms and Software Development
Dr. Swaminathan J. serves as the Chairperson of the Department of Computer Science and Engineering (CSE) and is a Professor at the School of Computing, Amrita Vishwa Vidyapeetham's Amritapuri campus. With an M.Tech and Ph.D., he brings nearly 25 years of experience, including over a decade at Wipro Technologies in various roles such as software engineer and project manager. His research interests include algorithms, program analytics, software verification, and full-stack development. Passionate about teaching, Dr. Swaminathan mentors students in computational thinking and competitive programming, leading initiatives like the ACM Code @Amrita club. He has authored around 30 research publications and actively contributes to curriculum design and faculty mentoring at Amrita.
Leader in Machine Learning and Computer Science Education
Dr. Ani R. is the Chairperson of the Department of Computer Science and Applications (CSA) at Amrita Vishwa Vidyapeetham's Amritapuri campus, where she also serves as an Assistant Professor and oversees the AHEAD CS Programmes. With a BSc and MCA, she brings a wealth of knowledge and experience to her role. Dr. Ani's research interests lie primarily in machine learning, where she explores innovative applications and methodologies to enhance computational processes. Her leadership in the statistical cell and Internal Quality Assurance Cell (IQAC) underscores her commitment to academic excellence and continuous improvement in education at Amrita.
Career services
The university maintains a robust career services infrastructure focused on comprehensive student development and placement. The placement cell facilitates internships, employability skill development, and industry connections across all campuses. Students receive extensive pre-placement training through workshops, mock interviews, and group discussions. The institution has consistently achieved excellent placement records with multiple job offers per eligible student. The placement process begins with internships during the program, often leading to pre-placement offers. The university maintains strong relationships with over 200 recruiting companies, offering diverse opportunities across sectors including technology, manufacturing, consulting, and healthcare.
95%
Overall Placement Rate
56.95 LPA
Highest Package 2023
200
Number of Recruiters
Top Recruiters
Course Start Date:
Starting soon
Application Deadline:
10th Sep, 2025
Duration:
3-6 Years
₹ 1,65,000
Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.