The B.Sc. Computer Science (Data Science) is a three-year undergraduate program designed for students who aspire to build careers in data-driven technologies, analytics, and intelligent computing systems. The program integrates computer science fundamentals with modern data science methodologies to help students transform raw data into meaningful insights.

    Data Science is an interdisciplinary domain that applies statistical techniques, algorithms, machine learning, and computing systems to analyze structured and unstructured data and support real-world decision-making across industries.

    In collaboration with IBM, Acharya offers an industry-aligned curriculum developed by technology experts. The partnership enables students to gain practical exposure, industry certifications, internship opportunities, and career readiness training that prepares them for modern IT roles immediately after graduation.

    Program Highlights

    • Industry-integrated curriculum designed with IBM
    • IBM Certification in Data Science
    • Training in Python, Data Analytics, Machine Learning & AI tools
    • Exposure to real-time datasets and business case studies
    • Hands-on laboratory sessions and live projects
    • Capstone projects guided by industry experts
    • Cloud computing exposure (Multi-Cloud environments)
    • Data visualization and dashboard development
    • Soft-skills and professional readiness training
    • Internship assistance and placement support
    • Workshops, hackathons, and technical bootcamps

    Students work on building predictive models, data pipelines, and analytical dashboards while learning to collaborate with developers, analysts, and cloud architects on end-to-end technology solutions — an important expectation in modern IT workplaces.

    What You Will Learn

    • Programming with Python & R
    • Data Structures & Algorithms
    • Database Management Systems (SQL & NoSQL)
    • Data Analytics & Statistical Computing
    • Machine Learning Techniques
    • Artificial Intelligence Fundamentals
    • Data Visualization (Tableau/Power BI)
    • Big Data Technologies
    • Cloud Computing Basics
    • Natural Language Processing & Predictive Modeling

    Career Scope

    Graduates of B.Sc. Computer Science (Data Science) can pursue careers in rapidly expanding technology sectors that depend on analytics and automation. Data science skills are in high demand as organizations increasingly rely on data-driven decisions.

    Why Choose Data Science at Acharya?

    • IBM industry collaboration and certification
    • Career-oriented curriculum bridging academics and industry
    • Learning from domain experts and practitioners
    • Hands-on projects and real-world applications
    • Internship and placement support
    • Exposure to emerging technologies in AI and analytics

    Who Should Choose This Program?

    This program is ideal for students who:

    • Enjoy mathematics, logic, and problem solving
    • Are interested in AI, analytics, and technology
    • Want careers in IT, analytics, or software industry
    • Prefer practical learning and real-world applications
    Apply Now

    Duration: 3 Years (6 Semesters)
    Eligibility: Pass in 10+2 / PUC / Higher Secondary or equivalent from a recognized board with English as one of the subjects.
    B.Sc Computer Science (Data Science) is a 3-year undergraduate program that combines computer science fundamentals with data analytics, machine learning, and artificial intelligence to prepare students for data-driven technology careers.
    The program is designed in collaboration with IBM and includes industry-aligned curriculum, certifications, practical exposure, and career readiness training delivered using industry practices and tools.

    Duration: 3 years (6 semesters)

    Eligibility: Pass in 10+2 / PUC / Higher Secondary from a recognized board with English as a subject

    Students study:

    • Python & R programming
    • Data structures & algorithms
    • Database systems (SQL & NoSQL)
    • Machine learning
    • Artificial intelligence
    • Data analytics and visualization
    • Cloud computing basics

    Yes. Students work with real-time datasets, live projects, laboratory sessions, and capstone projects guided by industry experts.