BCA in Data Science and Analytics
A four-year undergraduate program that builds a strong foundation in data science, machine learning, and analytics. Students gain hands-on experience in data-driven decision-making and AI applications.
Associate Partner – HVET
Course Highlights
Industry-Focused Curriculum
Internship linked to Job
Big Data & Cloud Technologies
Hands-on Learning
Certification from Intel & Nasscom
Expert Faculty & Mentorship
Data Analytics & Visualization
NEP & SDG Aligned
Placement & Career Support
Tools Covered
Introduction
- Bachelor of Computer Applications (BCA) in Data Science & Analytics is an excellent choice for students looking to build a career in the ever-evolving world of technology and data-driven decision-making. Designed with an industry-focused curriculum, this professional degree is ideal for those serious about entering the fields of data science, machine learning, and artificial intelligence.
- It serves as a strong foundation for a career in data analytics and computational intelligence. This program enables students to develop technical and analytical skills early, providing hands-on experience with modern tools and technologies. With a curriculum aligned to industry standards, BCA in Data Science & Analytics opens doors to a wide range of opportunities in the IT and business sectors.
- The return on investment in this field is significantly high, as data-driven industries are constantly expanding, offering endless career prospects. Compared to traditional computer science degrees, this course provides specialized expertise in data handling, artificial intelligence, and cloud computing, ensuring students are well-equipped to thrive in the digital economy.
Eligibility
Passed 10+2 examination with eligibility as per the Affiliating University Admission Policy. Or, pass in diploma in Commercial Practice or equivalent. (for students having no Mathematics background has to undergo a compulsory bridge course on Mathematics & related Computer Subject framed by SSU).
Duration
4 Years Full-Time (8 Semesters)
Tuition Fees
Rs. 62500 /- Per Semester
*Fees such as Admission, Caution Money, Examination, Hostel, and Transport fees are extra
Program Details
BCA in Data Science & Analytics is a 3-year undergraduate degree program that provides a strong foundation in computer science, programming, and data analytics.
The course allows students to specialize in key areas such as machine learning, artificial intelligence, cloud computing, big data analytics, and business intelligence.
Disciplined Approach – Regular communication is maintained with parents regarding attendance, academic progress, and internal assessments to ensure consistent performance and student engagement.
Qualitative Approach – The program is designed to be highly interactive and practical, featuring industry- relevant projects, live case studies, hands-on workshops, and guest lectures by distinguished experts. All learning outcomes are focused on real-world applications to make students industry-ready.
Program Outcome
Mastering Data Science Concepts
Develop expertise in data analytics, machine learning, and artificial intelligence to solve real-world problems.
Building Technical & Analytical Skills
Gain hands-on experience with programming languages (Python, R, SQL), big data technologies, and cloud computing.
Ethical & Responsible AI Practices
Understand the importance of data privacy, security, and ethical AI
implementation in business and technology.
Encouraging Leadership & Innovation
Foster critical thinking and problem-solving abilities to lead in the data-driven industry.
Developing Entrepreneurial Acumen
Learn how to leverage data for business decision-making, driving innovation and efficiency.
Serving Society Through Data-Driven Solutions
Use data analytics to address societal challenges, optimize resources, and contribute to informed policymaking.
Application of Technological Innovations
Implement cutting-edge AI, deep learning, and automation techniques in various industries to enhance efficiency and productivity.
Course at a Glance
Core Subjects: Computer Science, DSA, DBMS, Python & R, Statistics, Big Data, ML & AI, Cloud Computing, Business Analytics, IoT
Specialized Areas: Deep Learning, Blockchain, Cybersecurity, Social Media Analytics, Bioinformatics.
Skill Training: Internships, Capstone Projects, Hackathons, Research.
Outcome: Industry-ready professionals in AI, analytics, and data-driven decision-making.