BSc in Data Science and Analytics

Bachelor of Science (B.Sc) (Honours / Honours with Research)

Data Science & Analytics with Minor Options 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.

 

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).

Duration: 4 Years (8 Semesters)

Total Credits: 176 Credits (As per UGC FYUGP & NCrF)

 

Program code: 003A
Course code : 3A06
Course Commencement : Jul 2026

Study Campus

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


Admissions Office

JAIN Knowledge Campus
# 44/4, District Fund Road
Jayanagar 9th Block Campus
Bangalore - 560 069
P : +91 73378 80218
P : +91 98440 73343

Curriculum Structure

  • Database Management System
  • Discrete Mathematics
  • Database Management System Lab
  • Discrete Mathematics Lab

  • Data Analysis using Python
  • Linear Algebra & Calculus for Data Science
  • Spreadsheet Modelling
  • Data Analysis using Python Lab
  • Linear Algebra & Calculus Lab

  • 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

  • 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

  • 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

  • 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
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

  • 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)

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

  • 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

Note: Each semester includes Discipline Specific Cores, Discipline Specific Electives, Ability Enhancement Courses, Skill Enhancement Courses, General Elective, Value-Addition Courses and Minor courses with theory and laboratory components (where applicable), structured as per the regulations.

Credit Distribution

Sl. No Nature of the Course Credits
1 Major 88
2 Minor 34
3 Ability Enhancement Courses 12
4 Skill Enhancement Courses 09
5 Value-Added Courses 10
6 Multidisciplinary Courses 9 / 11
7 Internship 02
8 Research 10 / 12
TOTAL 176

Additional Certification (if applicable): 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 Programs

 

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

 

FAQ's

What is the scope of B.Sc Data Science?


B.Sc Data Science offers excellent scope across technology, business, research, finance, healthcare, e-commerce, and emerging AI-driven sectors. Graduates are equipped to work in roles involving data analysis, machine learning, predictive modelling, big data engineering, and cloud-based analytics. With the rapid expansion of AI and digital transformation, the demand for skilled data science professionals continues to grow globally.

Can I get a job after B.Sc Data Science?


Yes. Students can secure roles such as Data Analyst, Business Analyst, Junior Data Scientist, Machine Learning Engineer (entry-level), BI Analyst, or Data Engineer (entry-level). The programme at JAIN (Deemed-to-be University) includes internships, industry projects, and hands-on training that significantly enhance employability.

What is the salary after completing a B.Sc in Data Science?


Salary varies based on skills, location, and industry. Fresh graduates in India typically earn ₹4.5–7 LPA in roles such as Data Analyst, BI Developer, ML Engineer (entry-level), or Data Associate. With advanced skills, certifications, or research experience, salaries can rise substantially within a few years due to strong industry demand.

Which is better – B.Sc Computer Science or B.Sc Data Science?


Both programmes have strong career value, but they serve different goals.

  • B.Sc Computer Science focuses on computing fundamentals, programming, operating systems, and software development.
  • B.Sc Data Science specialises in statistics, machine learning, AI, data analytics, and data-driven decision-making.
Students interested in AI, analytics, data modelling, and research-oriented or industry-driven data careers typically find B.Sc Data Science more aligned with their aspirations.

Is Data Science tough to study?


Data Science is a rigorous and interdisciplinary field, combining mathematics, programming, and analytical thinking. However, with structured support, practical labs, mentoring, and continuous skill-building—as offered at JAIN (Deemed-to-be University)—students can learn effectively. Consistent practice and curiosity make the learning process rewarding rather than difficult.

Is Data Science and Analytics a good career?


Yes, it is one of the most promising global career pathways. Organisations across all sectors rely on data-driven decision-making, creating sustained demand for professionals skilled in analytics, AI, machine learning, visualisation, and big data technologies. Data Science and Analytics roles offer strong growth, high salaries, global opportunities, and pathways into advanced research and innovation.