The Bachelor of Computer Applications in Data Science is a comprehensive 3-year program designed to equip students with foundational knowledge in data analysis, machine learning, and statistical modeling. This UGC-entitled online degree prepares students for rewarding careers as Data Analysts, Machine Learning Engineers, or Business Intelligence Specialists. The program features industry collaborations with TCS iON for better industry exposure, 550+ hours of video lectures by experienced faculty, and practical experience through real-world projects and mentoring sessions.
Instructors:

Mona Chaudhary
English
Course Start Date:
Starting soon
Application Deadline:
Closing Soon
Duration:
3 Years
₹ 1,50,000
Overview
The Bachelor of Computer Applications with specialization in Data Science at Amity Online is a comprehensive 3-year program designed to prepare students for the rapidly growing field of data science and analytics. This UGC-entitled online degree combines foundational computer applications knowledge with cutting-edge data science specialization. Students benefit from industry collaborations with TCS iON, ensuring better industry exposure and practical skills development. The program features global education with renowned international faculty and robust learning through 550+ hours of video lectures.
Why BCA (Bachelor of Computer Applications)?
This program stands out for its focus on emerging specializations in cutting-edge fields that shape tomorrow's technological landscape. Students gain practical experience through real-world projects and benefit from mentoring sessions throughout their studies. The curriculum covers essential programming languages including C, Java, Python, and R, along with specialized data science tools like Tableau for data visualization. Industry collaborations with TCS iON provide valuable industry exposure and enhance employability prospects.
What does this course have to offer?
Key Highlights
Global Education with International Faculty
Industry Collaborations with TCS iON
Robust Learning with 550+ Hours Video Lectures
Emerging Specializations in Data Science
Real-World Projects and Mentoring Sessions
Zero Cost EMI Options
UGC Entitled Online Degree
Who is this programme for?
Fresh 10+2 graduates seeking computer applications career
Aspiring data scientists and analysts
Students interested in machine learning and AI
Career changers seeking technology domain expertise
Learners wanting foundation for higher education in technology
Minimum Eligibility
10+2 pass from recognized board
Sufficient knowledge of English language and communication
Minimum 3 years English medium education
Fresh graduates seeking computer applications career
Who is the programme for?
The admission process involves selecting the program, completing the application with necessary information, paying program fees securely, submitting the application, and awaiting enrollment details. Students must have completed 10+2 education with sufficient English language knowledge and minimum 3 years English medium education. Candidates not meeting English requirements are not eligible for admission.
Important Information
Selection process
How to apply?
Curriculum
The curriculum spans 6 semesters covering comprehensive computer applications and specialized data science subjects. Foundation semesters include programming in C, basic mathematics, software engineering, and database management. Advanced semesters focus on data science specialization including Python programming, machine learning techniques, artificial intelligence, big data analytics, and deep learning with major project work.
There are 6 semesters in this course
The comprehensive curriculum is structured across six semesters beginning with computer fundamentals including programming in C, basic mathematics, business communication, and human-computer interaction. Progressive semesters cover data structures, operating systems, database management, and object-oriented programming using Java. Specialized data science courses include computational statistics, Python programming, data science using R and Python, data visualization using Tableau, supervised and unsupervised learning techniques, artificial intelligence, big data analytics, deep learning, and image processing culminating with a major project.
Semester 1
Semester 2
Semester 3
Semester 4
Semester 5
Semester 6
Programme Length
The program spans 3 years (6 semesters) with flexible online delivery allowing students to balance studies with other commitments. The structured semester system ensures comprehensive coverage of both computer applications fundamentals and data science specialization within the timeframe.
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
Assistant Professor at Amity University
Dr. Pragati Sahai is an Ass. Professor at Amity University with over 13 years of teaching and research experience. She holds an M.Phil and Ph.D. in Biotechnology and has significant administrative experience, contributing to various academic initiatives.

Mona Chaudhary
Assistant Professor
Ms. Mona Chaudhary, Assistant Professor with 9+ years of teaching experience, holds a B.Com (Hons), MBA, Diploma in Labour Laws, and HR Analytics certification. Pursuing a PhD in Management, her research focuses on online education in India. She teaches HRM, OB, Labour Laws, and Management, and has presented papers at key conferences.
Tuition Fee
The total program fee is ₹1,50,000 with semester-wise payments of ₹25,000. Students can opt for zero-cost EMI at ₹6,250 per month over 24 months. Attractive scholarships are available for eligible candidates, making quality technology education accessible and affordable.
Fee Structure
Payment options
Financing options
Financial Aid
Learning Experience
Students experience interactive online learning through 550+ hours of video lectures made by experienced faculty. The Amigo app provides seamless mobile learning with live classes, progress tracking, and material access. Prof. Ami AI tutor offers personalized learning support and instant doubt resolution. Real-world projects and mentoring sessions ensure practical application of theoretical knowledge.
University Experience
Amity Online provides access to all Amity campuses for events including orientation, mid-year meetups, on-campus connects, and convocation. Students benefit from global recognition through WASC accreditation, WES recognition, and QS ranking. The beSocial app facilitates networking, clubs, and virtual campus life experiences while providing access to extensive alumni network in technology industry.
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
Founded in 2003, Amity University is a private research institution located in Noida, northern India. The university offers over 250 undergraduate and postgraduate programs across diverse disciplines including law, journalism, sciences, engineering, and business. With modern facilities including air-conditioned amphitheater classrooms and high-tech laboratories, Amity provides comprehensive educational infrastructure. The university has separate on-campus accommodation for male and female students, along with recreational and sporting facilities. Its libraries house over a million books, periodicals, and journals. A distinctive feature is the "Mentor-Mentee Concept" ensuring constant faculty-student interaction. The university emphasizes innovation, having filed over 700 patents, and maintains strong industry connections through regular interactions with business leaders
#1001-1200
QS World Ranking
95000
Total Students
#801-1000
THE World Ranking
Affiliation & Recognition
Cisco Networking Academy
Oracle
IBM
Microsoft azure
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
Assistant Professor at Amity University
Dr. Pragati Sahai is an Ass. Professor at Amity University with over 13 years of teaching and research experience. She holds an M.Phil and Ph.D. in Biotechnology and has significant administrative experience, contributing to various academic initiatives.

Mona Chaudhary
Assistant Professor
Ms. Mona Chaudhary, Assistant Professor with 9+ years of teaching experience, holds a B.Com (Hons), MBA, Diploma in Labour Laws, and HR Analytics certification. Pursuing a PhD in Management, her research focuses on online education in India. She teaches HRM, OB, Labour Laws, and Management, and has presented papers at key conferences.
Career services
Amity University maintains a robust Central Placement Cell that facilitates comprehensive career development and placement services for students. The placement department organizes various training programs, workshops, and seminars to equip students with essential skills and industry knowledge. The university has established strategic partnerships with numerous national and multinational companies, creating extensive placement opportunities across diverse sectors including IT, FMCG, Consulting, and Research & Development. The placement process involves campus recruitment drives, internships, and job fairs that connect students with potential employers. The university has successfully placed over 54,000 students across various industries, with more than 11,000 placement opportunities created in recent years
61.75LPA
Highest Package 2023
7LPA
Average Package 2023
98.60%
Placement Percentage
Top Recruiters
Course Start Date:
Starting soon
Application Deadline:
Closing Soon
Duration:
3 Years
₹ 1,50,000
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.


