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Computer Science with Minor in Data Science / Mathematics / Renewable Energy

Computer Science with Minor in Data Science / Mathematics / Renewable Energy

The B.Sc (Honours / Honours with Research) in Computer Science offered by JAIN (Deemed-to-be University) stands among the best BSc Computer Science colleges in Bangalore and is widely recognised for its academic excellence, research focus, and strong industry orientation. The programme follows the NEP 2020-led Major–Minor structure, enabling students to specialise in Computer Science while pursuing a Minor in Data Science, Mathematics, or Renewable Energy.

With a curriculum that integrates AI, Machine Learning, Cloud Computing, Cybersecurity, Blockchain, Quantum Computing, and more, the programme positions learners competitively among the offerings of top BSc Computer Science colleges in Bangalore. The Honours with Research pathway further strengthens academic progression, making it comparable with the top BSc Computer Science colleges in India in terms of global alignment and research preparedness.

Start Date
August 2026
Duration

4 Years (8 Semesters)

Study Campus

 # 34, 1st Cross
JC Road, Bengaluru
Karnataka, India - 560027
 +91 - 80 43430100

Total Number of Credits

176 Credits (As per UGC FYUGP & NCrF)

Eligibility

A student who has passed Level 4 / Class 12 schooling (either through formal schooling or through the open school system) or its equivalent shall be eligible for admission to B.Sc. programmes. 


However, students who have not studied requisite courses from Science discipline related to the respective programmes will have to undertake the prescribed bridge course(s).

Modules

Semester I
    • Programming in C++
    • Computational Mathematics I
Semester II
    • Data Structures
    • Computational Mathematics II

Semester III
    • Database Management Systems
    • Mobile Application Development
    • Web Technologies
Semester IV
    • Programming In Python
    • Computer Networks
    • Big Data Computing
    • Back-End Web Development

Semester V
    • Artificial Intelligence and Machine Learning
    • Java Programming
    • Information Retrieval
    • Cloud Services Management
    • Cyber Security
    • Cloud Computing
    • Mini Project / Literature Survey
Semester VI
    • Neural Networks and Deep Learning
    • Software Engineering
    • Natural Language Processing
    • DevOps
    • Network and Web Security
    • Virtualisation in Cloud Computing
    • Project

Semester VII
    • Research Methodology
    • Quantum Computing
    • Cryptocurrency and Block-Chain Technologies
    • Business Intelligence
    • Advanced Java
    • Project
Semester VIII
    • Theory of Computation
    • Computer Vision
    • Web Application Security
    • Ethical Hacking
    • Storage Technologies
    • Project

Certification Offered

Additional Certification: AI & ML certification by IBM

Course Highlights

  • Flexible Major–Minor structure aligned with NEP 2020
  • Opportunity to specialise with a Minor in Data Science / Mathematics / Renewable Energy
  • A strong pathway to careers in software development, AI/ML, cloud computing, cybersecurity, data science, and research
  • Exposure to software development through internal/external projects & internships
  • Compulsory internship for industry exposure
  • Research-oriented curriculum mapped to learning outcomes
  • Direct PhD eligibility (≥75%) for Honours with Research graduates

Career Enhancement Programmes

Programming & Software Development Labs
Workshops
Industry Visits
Coding, Web Development Club Initiatives
AI & Data Science Club Activities
Guest Lectures
Computational Tools & Emerging Technology Modules
Research Accelerator Programme (RAP)

Career Outcomes

The B.Sc. (Honours / Honours with Research) in Computer Science with Minor in Data Science / Mathematics / Renewable Energy prepares graduates for diverse and evolving professional pathways, including:

Core Computing and Systems Innovation

Graduates design, analyse, and optimise computational systems critical to digital infrastructure. They work with software engineering, algorithms, data structures, and system architectures to develop robust, scalable, and secure solutions. Through mathematical logic and computational methods, they serve industries that require accuracy, efficiency, and ethical rigour in digital creation, from enterprise software to public platforms.

Data-Driven Intelligence and Analytical Practice

Graduates translate complex data into meaningful insights that inform decision-making across sectors. By integrating computer science, data science, and mathematical modelling, they design analytical workflows, interpret patterns, and support evidence-based strategies. Their work emphasises data integrity, responsible use of algorithms, and clear communication of findings, enabling organisations to act with accuracy, transparency, and social awareness in an increasingly data-centric world.

Sustainable Technologies and Applied Computing

Graduates apply computational expertise to sustainability-oriented challenges, particularly where renewable energy systems intersect with digital technologies. They contribute to energy modelling, smart systems, resource optimisation, and technology-driven sustainability initiatives. This pathway reflects a growing need for technologists who can align innovation with environmental responsibility and support transitions toward cleaner, more resilient systems.

Research, Innovation, and Knowledge Advancement

Graduates on research-focused tracks engage in systematic exploration, experimental methods, and computational investigation within computer science and related fields. They develop the ability to define problems, evaluate data, and contribute to academic, industrial, or interdisciplinary research. This foundation prepares them for postgraduate study, research careers, and innovation-centred organisations where curiosity, precision, and ethical research are valued.

Interdisciplinary and Future-Oriented Professional Practice

Graduates work at the nexus of technology, society, and policy, applying computational expertise beyond typical technical roles. They collaborate across fields, present complex ideas to varied audiences, and tailor digital solutions to changing professional settings. This path supports careers in tech-enabled services, consulting, education, and policy-driven digital efforts, where adaptability and principled leadership are vital.

Together, these paths show a programme designed to give graduates lasting skills, ethical sense, and intellectual flexibility, helping them stay relevant and impactful as technologies and needs change.

Ready to take the next step? Our counsellors are here to provide you with more information about the programme.
Call us +91 73376 13222

Not sure of your choice? Visit us at the Admissions Office located in Jayanagar 9th Block and meet us.
Access the map here.

FAQ's

Yes. You may choose Data Science, Mathematics, or Renewable Energy.

The Minor will run only if the required minimum number of students opt for it.

No. Once you have opted and been allotted a Minor, it cannot be changed.

Yes. The curriculum aligns with NEP 2020 and related norms.

Honours has a project; Honours with Research adds a 12-credit dissertation in Semesters 7 and 8.

Yes. Honours with Research and ≥75% marks qualify you for PhD selection at many Indian institutions.

You will graduate with B.Sc (Honours) instead of B.Sc (Honours with Research).

Yes. The 4-year Honours with Research meets global standards and is widely accepted.

Yes, external projects are allowed with prior departmental approval and must meet academic standards.

Yes. As per UGC FYUGP norms, the degree certificate will specify “B.Sc (Honours/Honours with Research) in Computer Science with Minor in [Discipline]”.

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