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>Academics>Engineering
School of Engineering & Technology

Faculty of Engineering & Technology

Offers modern, industry-relevant undergraduate and postgraduate programs in computing and technology, integrating global industry certifications directly into the curriculum.

Ganpat University Goa

An initiative of Ganpat & Manju Foundation, bringing world-class education to India's most beautiful state. Building tomorrow's leaders today.

admission.goa@ganpatuniversity.ac.in1800 889 1555
NH-66, Plot No. 10, Nagoa - Verna, Salcete, South Goa, Goa, India - 403722

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    School of Engineering & Technology

    Browse through undergraduate, postgraduate and diploma pathways under Faculty of Engineering & Technology

    B. Tech Computer Science & Engineering

    4 YearsIn Association with IBM

    A rigorous four-year undergraduate engineering programme that builds a strong foundation in computer science principles — algorithms, operating systems, databases, and software engineering — while integrating IBM industry tools, certifications, and real-world project mentorship.

    Program Highlights

    • IBM-certified curriculum with industry mentorship
    • Hands-on labs in cloud computing, DevOps & full-stack development
    • Internship opportunities through IBM partner network
    • Focus on problem-solving, data structures & systems design
    • Electives in IoT, Blockchain & Enterprise Applications

    Eligibility Criteria

    Educational Qualification: Passed H.S.C. (Science – PCM) from any State Board, CBSE, ICSE, IB, or NIOS. Minimum Marks: 45% (Open Category) or 40% (Reserved Category) in Physics, Mathematics, and Chemistry/Computer (Theory & Practical). Admission Criteria: Admissions for Other State, NRI, and Management Quota candidates are based on merit and applicable university guidelines.

    Explore Full Curriculum & Syllabus

    B. Tech CSE – Artificial Intelligence & Machine Learning

    4 YearsIn Association with IBM

    A specialised engineering degree that merges classical computer science with cutting-edge AI and machine learning disciplines. Students study neural networks, deep learning, computer vision, NLP, and reinforcement learning alongside IBM Watson and AI enterprise platforms.

    Program Highlights

    • Deep learning, NLP & computer vision specialisation
    • IBM Watson & AI platform integration across curriculum
    • Capstone projects on live industry AI datasets
    • Research collaboration with IBM AI research labs
    • Industry-recognised IBM AI credentials upon graduation

    Eligibility Criteria

    Educational Qualification: Passed H.S.C. (Science – PCM) from any State Board, CBSE, ICSE, IB, or NIOS. Minimum Marks: 45% (Open Category) or 40% (Reserved Category) in Physics, Mathematics, and Chemistry/Computer (Theory & Practical). Admission Criteria: Admissions for Other State, NRI, and Management Quota candidates are based on merit and applicable university guidelines.

    Explore Full Curriculum & Syllabus

    B. Tech CSE – Cyber Security

    4 YearsIn Association with IBM

    An engineering programme crafted for the next generation of cybersecurity professionals. Students master ethical hacking, digital forensics, cryptography, network security, and cloud security posture management — all validated through IBM Security certification pathways.

    Program Highlights

    • Ethical hacking & penetration testing labs
    • IBM Security QRadar SIEM hands-on training
    • Digital forensics & incident response practicals
    • Cryptography, PKI & zero-trust architecture modules
    • Bug bounty simulation & CTF competitions

    Eligibility Criteria

    Educational Qualification: Passed H.S.C. (Science – PCM) from any State Board, CBSE, ICSE, IB, or NIOS. Minimum Marks: 45% (Open Category) or 40% (Reserved Category) in Physics, Mathematics, and Chemistry/Computer (Theory & Practical). Admission Criteria: Admissions for Other State, NRI, and Management Quota candidates are based on merit and applicable university guidelines.

    Explore Full Curriculum & Syllabus

    B. Tech CSE – Data Science and AI

    4 YearsIn Association with SAS

    A data-first engineering programme that combines statistical computing, machine learning, and big data engineering with SAS Analytics software — the industry gold standard for advanced analytics, business intelligence, and data management across global enterprises.

    Program Highlights

    • SAS Visual Analytics & SAS Viya platform training
    • Big data engineering with Hadoop, Spark & SQL
    • Statistical modelling, regression & time-series analysis
    • Industry projects with real enterprise datasets
    • SAS Global Certification exam preparation included

    Eligibility Criteria

    Educational Qualification: Passed H.S.C. (Science – PCM) from any State Board, CBSE, ICSE, IB, or NIOS. Minimum Marks: 45% (Open Category) or 40% (Reserved Category) in Physics, Mathematics, and Chemistry/Computer (Theory & Practical). Admission Criteria: Admissions for Other State, NRI, and Management Quota candidates are based on merit and applicable university guidelines.

    Explore Full Curriculum & Syllabus