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VIII · Resources

Everything you study, in one place.

Every course in both programmes with its official page, guides written by a senior who took them, a CGPA calculator and the portals students ask for most.

108Courses
9Senior guides and tools
2Programmes
01 · Study corner

Pick a course.

BS in Data Science and Applications · Official curriculum ↗

01Foundation

BSMA1001 Mathematics for Data Science I 4 creditsGuide BSMA1002 Statistics for Data Science I 4 creditsGuide BSCS1001 Computational Thinking 4 creditsGuide BSHS1001 English I 4 creditsGuide BSMA1003 Mathematics for Data Science II 4 creditsGuide BSMA1004 Statistics for Data Science II 4 creditsGuide BSCS1002 Programming in Python 4 creditsGuide BSHS1002 English II 4 creditsGuide

02Diploma

Programming

BSCS2001 Database Management Systems 4 credits BSCS2002 Programming, Data Structures and Algorithms using Python 4 credits BSCS2003 Modern Application Development I 4 credits BSCS2003P Modern Application Development I - Project 2 credits BSCS2005 Programming Concepts using Java 4 credits BSCS2006 Modern Application Development II 4 credits BSCS2006P Modern Application Development II - Project 2 credits BSSE2001 System Commands 3 credits

Data Science

BSCS2004 Machine Learning Foundations 4 creditsGuide BSMS2001 Business Data Management 4 credits BSCS2007 Machine Learning Techniques 4 creditsGuide BSCS2008 Machine Learning Practice 4 creditsGuide BSCS2008P Machine Learning Practice - Project 2 creditsGuide BSSE2002 Tools in Data Science 3 creditsGuide BSMS2001P Business Data Management - Project 2 credits BSMS2002 Business Analytics 4 credits BSDA2001 Introduction to Deep Learning and Generative AI 4 credits BSDA2001P Deep Learning and Generative AI - Project 2 credits

03Degree

Core

BSCS3001 Software Engineering BSCS3003 AI: Search Methods for Problem Solving BSGN3001 Strategies for Professional Growth BSCS3002 Software Testing BSCS3004 Deep Learning

Electives

BSBT4001 Algorithmic Thinking in Bioinformatics BSBT4002 Big Data and Biological Networks BSCS4001 Data Visualization Design BSEE4001 Speech Technology BSMS4002 Design Thinking for Data-Driven App Development BSMS4001 Industry 4.0 BSMS3002 Market Research BSCS4003 Privacy & Security in Online Social Media BSDA5001 Introduction to Big Data BSMS4003 Financial Forensics BSMA3012 Linear Statistical Models BSCS4021 Advanced Algorithms BSMA3014 Statistical Computing BSCS3031 Computer Systems Design BSCS3005 Programming in C BSMA2001 Mathematical Thinking BSDA5004 Large Language Models BSDA5005 Introduction to Natural Language Processing (i-NLP) BSDA5006 Deep Learning for Computer Vision BSMS3033 Managerial Economics BSMS4023 Game Theory and Strategy BSMS3034 Corporate Finance BSDA5013 Deep Learning Practice BSCS4022 Operating Systems BSDA5002 Mathematical Foundations of Generative AI BSDA5003 Algorithms for Data Science (ADS) BSDA5014 Machine Learning Operations (MLOps) BSDA4001 Data Science and AI Lab BSCS4010 App Dev Lab BSCS4024 Computer Networks BSCS3021 Theory of Computation BSDA5007 Reinforcement Learning BSCS4032 Compiler Design BSMA3001 Discrete Mathematics BSDA6004 Sequential Decision Making BSMA3015 Linear Models with Applications

Course codes, names and credits come from the programmes' own academics pages. Tap a course for its official page and any guide written for it.

02 · Senior guides

Written by someone who sat the course.

Grading formulas, week maps, calculators and the approach for each assignment. Method only: none of these hand out answers to graded work.

Foundation01 Basecamp

All eight Foundation courses in one place: what each one asks, the grading formula, exam dates and the resources worth opening.

Open ↗ Diploma · Data Science02 Converge

MLF, MLT and MLP side by side: week maps, every grading formula, a marks calculator and the term calendar.

Open ↗ Tools in Data Science03 TDS Field Guide

Tools in Data Science from GA0 to the end term: eligibility, how to work a GA, the ROE, projects and a marks calculator.

Open ↗ Tools in Data Science04 P2 Field Guide

How to approach each TDS Project 2 case, without being handed the answer.

Open ↗ Tools in Data Science05 GA7 Handbook

The order the GA7 rules apply in and the traps the hidden checks look for. Method only.

Open ↗ Tools in Data Science06 GA5 method notes

The agentic-AI week, question by question: the approach for each, since every student's task is different.

Open ↗ Tools in Data Science07 GA4 method notes

The RAG and retrieval week: one short approach per question.

Open ↗ Tool08 IITM Pulse

A tracker for assignments, deadlines and project milestones.

Open ↗ Tool09 Kagaz

Merge, split, compress and convert PDFs inside your browser. Files never leave your device.

Open ↗

Guides by Angad Jangir

03 · CGPA calculator

Where do you stand?

Add the courses you have finished, their credits and your grade. Nothing leaves your browser.

Grade points used: S 10, A 9, B 8, C 7, D 6, E 4. Check the official grading document for your term before relying on it.

    0.00CGPA
    0Credits counted
    04 · Official

    Portals

    Documents

    These documents are published as Google Docs and linked by several house websites. Check the date inside each one before relying on it.

    Need help from the programme?

    Questions about courses, exams or your account go to the programme's support team. A support ticket gets priority over email. Phone: +91 78509 99966, Monday to Friday, 10 AM to 6 PM.

    Ticket guideEmail support@study.iitm.ac.in →