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    Data Science & Analytics with Minor in Economics / Digital Business / Bioinformatics

    Data Science & Analytics with Minor in Economics / Digital Business / Bioinformatics
    Overview

    The B.Sc (Honours / Honours with Research) in Data Science & Analytics at JAIN (Deemed-to-be University) is a future-centric undergraduate programme designed to build strong analytical, computational, and research capabilities and is recognised among the best B.Sc Data Science colleges in Bangalore, the programme integrates Data Science, Artificial Intelligence, Statistics, Cloud Computing, Big Data, and advanced data-driven frameworks with real-world applications. With its interdisciplinary structure and industry-aligned curriculum, it also stands among the top B.Sc Data Science colleges in Bangalore. It is widely regarded as one of the leading B.Sc Data Science colleges in India.

    Students have the flexibility to choose a Minor in Economics, Digital Business, or Bioinformatics, enabling interdisciplinary expertise and strengthening employability across scientific, technological, and business domains. This flexibility places the programme among the preferred choices for learners seeking B.Sc Data Science and Analytics colleges in Bangalore that offer both academic depth and practical exposure.

    The programme provides robust training through practical labs, industry-led projects, internships, cloud-based environments, research dissertations (for Honours with Research), and value-added certifications in collaboration with GUVI HCL.

    Start Date
    August 2026
    Duration

    4 Years

    Study Campus

    School of Sciences
    #34, 1st Cross
    J C Road
    Bangalore – 560027
    P: +91 80434 30100

    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
      • Database Management System
      • Discrete Mathematics
      • Database Management System Lab
      • Discrete Mathematics Lab
    Semester II
      • Data Analysis using Python
      • Linear Algebra & Calculus for Data Science
      • Spreadsheet Modelling
      • Data Analysis using Python Lab
      • Linear Algebra & Calculus Lab

    Semester III
      • Fundamentals of Statistics and Probability
      • Data Analysis with R
      • Data Warehousing & Data Mining
      • Fundamentals of Statistics and Probability Lab
      • Data Analysis with R Lab
      • Data Warehousing & Data Mining Lab
    Semester IV
      • Data Visualisation and Interpretation
      • Artificial Intelligence
      • Predictive Modelling
      • Cloud Computing and Data Security
      • Discrete Stochastic Process
      • Data Visualisation Lab
      • Artificial Intelligence Lab
      • Predictive Modelling using SAS Lab
      • Cloud Computing and Data Security Lab

    Semester V
      • Machine Learning
      • Inference Theory
      • Information Retrieval
      • Graph Theory
      • Cryptography & Network Security
      • Machine Learning Lab
      • Inference Theory Lab
      • Information Retrieval Lab
      • Graph Theory Lab
      • Cryptography Lab
    Semester VI
      • Big Data Analytics
      • Time Series Analysis
      • Numerical Methods for Data Science
      • High-Performance Computing and Distributed Systems
      • Deep Learning and Neural Networks
      • Application Designing using Python
      • Big Data Analytics Lab
      • Time Series Analysis Lab
      • Numerical Methods Lab
      • Distributed Computing Lab
      • Deep Learning and Neural Network Lab

    Semester VII

      Honours Track (Applied Stream)

      • Natural Language Processing
      • Natural Language Processing Lab
      • Computer Vision and Image Analytics
      • Applied Multivariate Statistics
      • Reliability Engineering
      • IoT and Data Analytics

      Honours with Research Track (Research Stream)

      • Natural Language Processing
      • Natural Language Processing Lab
      • Computer Vision and Image Analytics
      • Applied Multivariate Statistics
      • Reliability Engineering
      • Reinforcement Learning and Optimisation Techniques
    Semester VIII

      Honours Track (Applied Stream)

      • Generative AI
      • Generative AI Lab
      • Applied Machine Learning
      • Applied Machine Learning Lab
      • Text and Web Mining
      • Text and Web Mining Lab
      • Optimisation Techniques
      • Virtual and Augmented Reality

      Honours with Research Track (Research Stream)

      • Generative AI
      • Generative AI Lab
      • Research Methodology for Data Science
      • AI Ethics & Responsible Data Science
      • Text and Web Mining
      • Text and Web Mining Lab
      • Applied Machine Learning
      • Applied Machine Learning Lab

    Certification Offered

    Certification courses from GUVI HCL

    Course Highlights

    • Flexible Major–Minor structure aligned with NEP 2020.
    • Opportunity to specialise with a Minor in Economics, Digital Business, or Bioinformatics.
    • Curriculum mapped to national and global Data Science & AI learning outcomes.
    • Deep focus on Data Analytics, Machine Learning, AI, Cloud Computing, and Big Data Engineering.
    • Extensive real-world exposure through industry projects, case studies, hackathons, and internships.
    • Access to high-performance computing labs, cloud platforms, and advanced analytics tools.
    • Strong pathway to careers in Data Science, ML, AI, Big Data, BI, Cloud Engineering, and Research.
    • Final-year project or research dissertation building readiness for PhD and advanced research roles.
    • Direct PhD eligibility (≥75%) for Honours with Research graduates as per NEP 2020.
    • Strong industry partnerships, academic collaborations, and support for the innovation ecosystem.

    Career Enhancement Programmes

    The programme includes extensive career-focused training:

    • Data Science Laboratory & Analytics Tools Training
    • Python for Data Science & Machine Learning Toolkit
    • Scientific & Technical Communication Workshops
    • Industry Field Visits, Data Centre Tours & Innovation Lab Exposure
    • Research Accelerator Programme (RAP) – Data Science Edition
    • Industry Seminars, Tech Talks & Guest Lectures
    • National/International Conferences & Hackathon Support
    • Internship Guidance with Faculty and Industry Mentors
    • Placement Preparation & Career Skills Training
    • Data Ethics, Privacy & Responsible AI Workshops
    • Advanced Analytics Bootcamps
    • Entrepreneurship & Innovation Sessions
    Data Science & Analytics with Minor in Economics / Digital Business / Bioinformatics

    Career Outcomes

    Graduates of the B.Sc (Honours / Honours with Research) in Data Science & Analytics with Minor Options in Economics / Digital Business / Bioinformatics are well-prepared for diverse and evolving professional pathways, including:
     
    Core Data Science, Analytics, and Modelling Pathways
    Graduates develop the capability to design, analyse, and deploy data-driven models that support decision-making across industries. They work with both structured and unstructured data to identify patterns, build predictive models, and translate analytical outcomes into strategic insights. In professional contexts, they contribute as Data Scientists, Data Analysts, Business Analysts, Statistical Analysts, Predictive Modelling Analysts, Research Data Scientists, and Machine Learning or AI Engineers, applying rigorous analytical thinking while upholding ethical standards in data use, interpretation, and communication.
     
    Big Data, Cloud, and Scalable Data Engineering Ecosystems
    Graduates drive data infrastructure development by engineering scalable pipelines and architectures that enable advanced analytics and AI deployment. As Data Engineers, they construct and maintain efficient data flows. In Big Data Engineer and Cloud Data Engineer roles, they process large-scale datasets on cloud platforms. ETL Developers and Data Warehouse Specialists design and manage data storage and extraction systems. MLOps Engineers operationalise machine learning models, while Cloud Solutions Architects (AWS, Azure, GCP) design secure, reliable cloud-based data solutions. In all these roles, technical performance, reliability, security, and governance are fundamental.
     
    Domain-Specific and Applied Analytics Across Sectors
    Graduates integrate sector knowledge with analytics to address diverse challenges. They support risk analysis in finance, enhance data use in healthcare and life sciences, drive marketing insights, and optimise supply chains. Careers include Financial or Risk Analysts, Healthcare Data Analysts, Marketing & Customer Insights Analysts, Operations Analysts, Environmental Data Analysts, and Policy Data Analysts, using analytics for evidence-led, responsible actions.
     
    Business Intelligence, Product, and Consulting-Oriented Roles
    Graduates convert analytics into strategy, product improvement, and performance. They work with leadership and stakeholders to build systems and strategies that link analytics to goals. Roles include BI Developers, Product Data Analysts, Data Strategy Consultants, AI Product Managers, and Business Process Analysts merging technical fluency with impactful communication and governance.
     
    Data Visualisation, Reporting, and Insight Communication
    Graduates turn analyses into clear narratives to support informed decision-making. They design reports and dashboards for transparency, accessibility, and accountability. Roles include Data Visualisation Specialists, BI Dashboard Developers, and Reporting Analysts, prioritising ethical, accurate data representation.
     
    Research, Academia, and Scientific Knowledge Creation
    Graduates with a strong research orientation advance analytical knowledge through rigorous experimentation, computational modelling, and interdisciplinary inquiry. They contribute to national laboratories, academic institutions, and research-intensive environments by supporting evidence-based discovery and innovation. These pathways include roles such as Research Fellows or Research Assistants, Data Researchers in CSIR, DRDO, IISc, and IITs, Quantitative Researchers, Scientific Computing Analysts, and PhD Researchers in AI or Data Science anchored in methodological rigour, reproducibility, and societal relevance.
     
    Together, these career pathways reflect a programme that equips graduates with transferable analytical capabilities, interdisciplinary mobility, and ethical research literacy, ensuring adaptability and long-term professional relevance in an increasingly data-driven world.

    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 a Minor in Economics, Digital Business, or Bioinformatics. Eligibility to select a Minor may depend on meeting prerequisite courses or requirements set by the department.

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

    No. Once allotted, you cannot change your Minor.

    Yes. The course follows new national education standards and university rules.

    Honours includes a project; Honours with Research includes a 12-credit dissertation in Semester 7 & 8.

    Yes. Students who complete Honours with Research and secure ≥75% overall marks are generally eligible for PhD admission in many Indian institutions, subject to each institution's selection process. Additional eligibility criteria may apply as per institution guidelines.

    You will finish with a B.Sc (Honours) in Data Science instead of a B.Sc (Honours with Research).

    Yes, the 4-year Honours with Research is equivalent to a global Bachelor’s degree and is accepted by most universities abroad.

    Yes. As per UGC norms, the degree certificate will clearly state: “B.Sc (Honours / Honours with Research) in Data Science with Minor in Economics/Digital Business/Bioinformatics”.

    Yes, you can do projects outside the college if the department approves and the work meets course rules.

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