How much mathematics is involved?

Substantial, but applied — statistics and linear algebra dominate, and both are taught against real datasets rather than as abstract papers.

Is there an internship?

Yes, a structured industry internship in the final year, drawn from TIU's hiring partner network.

What tools will I actually be fluent in on graduating?

Python and SQL at working depth, plus BigQuery, Spark and at least one orchestration and one visualisation tool.

School of Engineering & Technology

B.Tech CSE-Data Science Powered by GOOGLE

Enrol in the most comprehensive data science course in Kolkata at the undergraduate level. Students learn to build end-to-end data pipelines, master statistical modelling, and use Python, SQL, and Google BigQuery on live datasets. A top choice among b tech colleges in West Bengal for data-driven careers.

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Duration

4 Years

Eligibility

10+2 with Physics, Mathematics and one of Chemistry / Computer Science

About the B.Tech CSE-Data Science programme

Where the AI/ML track optimises for modelling, this one optimises for the whole data lifecycle — ingestion, warehousing, transformation, analysis and the decision that comes out the other end. You spend serious time on SQL and distributed data processing before you touch a model, because in practice that is where most of the work lives. BigQuery and the Google Cloud data stack are the working environment from year two.

Why study B.Tech CSE-Data Science at TIU

Pipelines before models

You learn to build and schedule a reliable data pipeline first — the part of the job most graduates are unprepared for.

SQL taken seriously

Two full papers of database and analytical SQL, including window functions and query optimisation on warehouse-scale tables.

BigQuery-scale datasets

Coursework runs against datasets large enough that naive approaches actually fail, so the lesson lands.

Statistics with consequences

Experiment design and A/B testing are taught as decision tools, not as a formula sheet.

What you study, year by year

Year 1— Computing and mathematical foundations

Programming with PythonDiscrete MathematicsLinear AlgebraComputer OrganisationData Structures

Year 2— Data engineering core

AlgorithmsDatabase Management SystemsAdvanced & Analytical SQLProbability & Inferential StatisticsData WarehousingOperating Systems

Year 3— Analytics, modelling and scale

Machine LearningBig Data & Distributed ProcessingData Visualisation & StorytellingCloud Data Platforms (BigQuery, Dataflow)Experiment Design & A/B TestingTime Series Analysis

Year 4— Specialisation, internship and capstone

Deep Learning for Structured DataBusiness Analytics & Decision ScienceData Governance & PrivacyIndustry InternshipCapstone Project

Indicative structure. Module sequencing may vary by batch and regulatory guidelines.

Tools and platforms

What you'll work with

PythonSQLGoogle BigQueryApache SparkAirflowdbtLooker StudiopandasTableau

Who this programme suits

Students who like finding the answer inside messy data
Anyone aiming at analytics or data engineering roles rather than pure research
Students who want a degree that maps directly onto a job description

Where this degree takes you

Roles graduates target

Data ScientistAnalytics EngineerBI DeveloperData Architect

Industries that hire

Consulting & analyticsBanking and financial servicesRetail & supply chainProduct analyticsPublic policy and research

B.Tech CSE-Data Science: common questions

Pick Data Science if you are drawn to the question and the decision; pick AI/ML if you are drawn to the model and the system. Data Science graduates more often become analysts, data engineers and decision scientists; AI/ML graduates more often become ML engineers.

Admissions for 2026 are open

Talk to the admissions team about eligibility, scholarships, and the application timeline for B.Tech CSE-Data Science Powered by GOOGLE.

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