B.Tech / BE — CSE (Data Science)

B.Tech / BE in CSE (Data Science) is a 4-year undergraduate engineering programme specialising in collecting, processing, analysing, and visualising large datasets to drive business and scientific decisions. Students master Python, R, SQL, machine learning, big data frameworks, and data visualisation tools.

Data Scientists are among the most sought-after professionals globally. From predicting customer behaviour to powering recommendation systems and healthcare diagnostics, data science skills are valuable in every industry.

Why Choose CSE (Data Science)?

  • Data Scientist consistently ranked #1 most desirable job in the world by LinkedIn and Harvard Business Review
  • High starting salaries — ₹6L–₹18L for fresh graduates from top colleges
  • Works across sectors — finance, healthcare, retail, manufacturing, government
  • Foundation for advanced careers in AI, research, and business analytics
  • Strong global opportunities — USA, UK, Canada, Singapore, Germany

Course Overview

ParticularDetails
Course NameB.Tech / BE in CSE (Data Science)
Course Duration4 Years
Eligibility10+2 with PCM; min 45–60% depending on college tier
Entrance ExamJEE Main, KCET, COMEDK, CUET-B.Tech, College CET
Focus AreasData Analytics, Big Data, Machine Learning, Python/R, Business Intelligence
MediumEnglish

CSE (Data Science) Syllabus — Year-wise

Progresses from programming fundamentals to advanced data science applications:

Year / SemesterKey Subjects
Year 1Engineering Mathematics, Python Programming, Statistics & Probability, Data Structures, Database Systems, Digital Fundamentals, Communication Skills
Year 2Advanced Python / R, Machine Learning Fundamentals, SQL & NoSQL Databases, Data Wrangling & Visualisation (Pandas, Matplotlib, Tableau), Linear Algebra, Web Technologies
Year 3Big Data (Hadoop, Spark), Deep Learning, Natural Language Processing, Time Series Analysis, Business Intelligence & Dashboards, Cloud Platforms (AWS/Azure), Data Ethics
Year 4Advanced Analytics, MLOps & Model Deployment, Data Science Capstone Project, Industry Internship, Electives (Healthcare Analytics / FinTech Data / IoT Analytics)

Admission Process

1 Complete 10+2 with PCM and minimum 45–60%
2 Appear in JEE Main for NIT/IIIT admissions
3 Apply via KCET for Karnataka government and aided colleges
4 Apply via COMEDK or direct college CET for private engineering colleges
5 Attend counselling and confirm seat (June–August)

Top Colleges in India

CollegeTypeLocation
NIT Trichy (Data Science)NIT (Central Govt)Trichy, Tamil Nadu
PES UniversityDeemed UniversityBangalore, Karnataka
BMS College of EngineeringAutonomous / VTUBangalore, Karnataka
Dayananda Sagar UniversityDeemed UniversityBangalore, Karnataka
Jain UniversityDeemed UniversityBangalore, Karnataka
SRM Institute of Science & TechnologyDeemed UniversityChennai, Tamil Nadu

Career Opportunities

  • Data Scientist — build predictive models for business decision-making
  • Data Analyst — analyse datasets and create dashboards for stakeholders
  • Business Intelligence (BI) Developer — design BI tools and reports
  • ML Engineer — deploy and maintain machine learning models in production
  • Database Administrator — manage enterprise data infrastructure
  • Quantitative Analyst (Quant) — financial modelling and risk analysis

Salary After CSE (Data Science)

Role / ExperienceAnnual Salary (Approx.)
Fresh Data Science Graduate (Tier 3)₹3.5L – ₹7L
Fresh Graduate (Tier 2 — PES/BMS/DSU)₹7L – ₹15L
Data Analyst (2–3 years exp)₹8L – ₹14L
Data Scientist / ML Engineer (4+ years)₹18L – ₹40L
Senior Data Scientist / Manager (7+ years)₹35L – ₹80L
After MS in Data Science abroad₹60L – ₹1.5Cr (USD equivalent)

How MSE Consultancy Helps You Get Admitted

  • KCET rank-to-college mapping — we tell you exactly which Bangalore colleges offer CSE Data Science at your rank
  • COMEDK and management quota college counselling for premium private engineering institutions
  • Guidance on CSE Data Science vs CSE AI & ML vs ISE — which branch fits your interests and career goals
  • MS abroad preparation — identifying universities offering MS Data Science / Analytics for post-B.Tech
  • Placement track record analysis — we compare college placements to help you make data-driven decisions

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