BCIT601 Data Science in IoT Syllabus
AKTU B.Tech · 6th Semester · Unit-wise syllabus (effective 2024-25)
BCIT601 Data Science in IoT (also written as KCIT601) is a subject in Semester 6 of the AKTU B.Tech programme, prescribed by Dr. A.P.J. Abdul Kalam Technical University. It carries 4 credits with an L-T-P of 3-1-0. The syllabus is divided into 5 units: Introduction to Data Analytics, Data Collection, Data Visualization and Representation, Application of Analytics in IoT. The complete unit-wise topic list, course outcomes and reference books are given below, taken from the official AKTU syllabus effective from 2024-25.
BCIT601 Subject Details
| Subject Code | BCIT601 / KCIT601 |
|---|---|
| Subject Name | Data Science in IoT |
| University | Dr. A.P.J. Abdul Kalam Technical University (AKTU) |
| Course | B.Tech (Bachelor of Technology) |
| Year / Semester | 3rd Year · 6th Semester |
| Credits | 4 |
| L-T-P | 3-1-0 |
| Total Units | 5 |
| Scheme Effective From | 2024-25 |
| Last Verified | 2026-08-19 |
BCIT601 Data Science in IoT Unit-Wise Syllabus
Official AKTU syllabus (effective 2024-25) — 5 units.
Unit 1: Introduction to Data Analytics
Introduction to Data Analytics: Defining IoT Analytics and Challenges: The situation, Defining IoT analytics, IoT analytics challenges, Business value concern, IoT Analytics for the Cloud, Types of Analytics: Streaming Analytics, Spatial, Time Series and Prescriptive Analytics
Unit 2: Data Collection
Data Collection: Getting to know your data, Types of Data, Data collection strategies, Data Pre engineering with IoT data, Exploratory Data Analytics, Descriptive Statistics, Mean, Deviation, Skewness and Kurtosis
Unit 3: Data Visualization and Representation
Data Visualization and Representation: Model Development Simple and Multiple Regression, Model Evaluation using Visualization, Residual Plot, Distribution Plot, Polynomial Regression and Pipelines, Measures for In Evaluation, Prediction and Decision Making, Box Plots, Pivot Table, Heat Map
Unit 4
Strategies to Organize Data for Analytics: Linked Analytical Datasets, Linking together strategy, Economics of IoT Analytics, Cost considerations revenue opportunities, The economics of predictive maintenance Cycle
Unit 5: Application of Analytics in IoT
Application of Analytics in IoT: IoT based applications, Healthcare, Marketing, Finance, Smart surveillance, Agriculture and Weather Forecasting and other domains; Real analysis
BCIT601 Course Outcomes
- At the end of course , the student will be able to understand
- CO 1 Explain the fundamentals of data science and its importance. K3
- CO 3 Classify the evolution, roles, stages in data science projects K3, K4
- Analyze the pre-processing and data reduction strategies K2, K3
- Explain the different data visualization and representation techniques K2, K4
- CO 5 Evaluate the performance of algorithms in data science K3, K6
BCIT601 Reference Books
- JojoMoolayil, “Smarter Decisions : The Intersection of IoT and Data Science”, PACKT, 2016.
- Cathy O’Neil and Rachel Schu
- David Dietrich, Barry Heller, Beibei Yang, “Data Science and Big data Analytics”, EMC 2013
- Andrew Minteer, “Analytics for the Internet of Things (IoT)” 2017, ISBN 978-1787120730.
- HwaiyuGeng, Internet of Things and Data Analytics Handbook (1s ISBN 978-1119173649.
Frequently Asked Questions about BCIT601
What is the syllabus of BCIT601 Data Science in IoT?
The AKTU BCIT601 Data Science in IoT syllabus is divided into 5 units: Introduction to Data Analytics; Data Collection; Data Visualization and Representation; Application of Analytics in IoT. The complete topic list for each unit is published on this page, taken from the official Dr. A.P.J. Abdul Kalam Technical University syllabus effective from 2024-25.
How many units are there in BCIT601?
BCIT601 Data Science in IoT has 5 units in the AKTU syllabus, with an L-T-P (Lecture-Tutorial-Practical) structure of 3-1-0 and 4 credits.
Is BCIT601 the same subject as KCIT601?
Yes. AKTU renumbered its B.Tech subject codes from the 2022-23 session onwards, so the same subject appears as BCIT601 and KCIT601 depending on the scheme year. The syllabus content is the same.
Which semester is BCIT601 taught in?
BCIT601 Data Science in IoT is taught in Semester 6 of the 3rd year of the AKTU B.Tech programme.
How many credits is BCIT601 worth?
BCIT601 Data Science in IoT carries 4 credits in the AKTU evaluation scheme, with an L-T-P of 3-1-0.
Where can I download BCIT601 previous year question papers?
AKTU B.Tech previous year question papers for every semester are available to download free on Ryzenstudy, with no login or registration required.
Is this the official AKTU syllabus for BCIT601?
Yes. Every topic on this page is taken from the official Dr. A.P.J. Abdul Kalam Technical University syllabus document (AKTU B.Tech 3rd Year Computer Science and Engineering (IoT) Syllabus), effective from 2024-25. A direct link to the original AKTU PDF is provided at the top of this page. Last verified on 2026-08-19.
Related AKTU Syllabus
Source: Dr. A.P.J. Abdul Kalam Technical University official syllabus — AKTU B.Tech 3rd Year Computer Science and Engineering (IoT) Syllabus, effective from 2024-25. Ryzenstudy is not affiliated with AKTU. Content last verified on 2026-08-19.