Bachelor of Technology Honours. (Data Science) | K.R. Mangalam

Bachelor of Science (Honours) Data Science


School of Engineering & Technology



Fees Structure





Total Fee



A 3 years full time course is a perfect blend of computer science, Business analytics and Artificial intelligence to understand large data sets and to craft new predictive model using algorithms, prototypes and customized analysis. Data Science graduates predicts feature of data using dedicated algorithm and statistical tools/ models. Understanding vast collection and storage of data over every domain of organization need an attentive eye to make business decisions, product design, forecasting future business value and market need using strategic planning and tools for data driven investigation of large data set.

Design and outline of the curriculum ensures that graduate has foundation of mathematics, statistics, artificial intelligence, machine learning, software development, programming language and skills, data mining, data warehousing, database management and data analysis. Data Science graduate learns to apply statistical methodology, data mining, predictive modelling, big data analytics, machine learning and data visualization for various market needs in business, marketing, supply chain, manufacturing, operations, human resource, healthcare and banking.

Programme Highlights

  • Analyze business or social or economic problems and apply data science knowledge to provide effective and efficient solutions.
  • Use tools and techniques to model and implement data science solutions.
  • Conduct statistical analyses for data, including performing data cleansing steps and creating visuals as part of the exploratory data analysis step.
  • Apply analytical skills for enterprise systems, business intelligence and emerging fields in data science.
  • Interpret results obtained from analyses both graphically and numerically.
  • Demonstrate the ability to work in team projects and communicate effectively using both verbal and written skills.

Programme Structure

Semester 1
Course Title Credit
Web Technologies 4
Mechanics 4
Communication Skills 4
Introduction To Computer Science And Programming In Python 4
Management Thoughts And Applications 3
Introduction To Computer Science And Programming In Python Lab 1
Web Technologies Lab 1
Mechanics Lab 2

Semester 2
Course Title Credit
Ordinary Differential Equations 4
Environmental Studies 3
Languages Of Data Modeling 4
Open Elective 3
Object Oriented Programming 4
Languages Of Data Modeling Lab 1
Object Oriented Programming Lab 1
Ordinary Differential Equations Lab 2

Semester 3
Course Title Credit
Operating Systems 4
Data Structures 4
Computer Networks 4
Probability And Statistics 4
Foundation Of Computer Systems 4
Disaster Management 3
Operating Systems Lab 1
Computer Networks Lab 1
Data Structures Lab 1
Probability And Statistics Lab 2

Semester 4
Course Title Credit
Software Engineering 4
Artifical Intelligence 4
Database Management Systems 4
Linear Algebra 6
Analysis And Design Of Algorithms  4
Software Engineering Lab 1
Artifical Intelligence Lab 1
Database Management Systems Lab 1
Analysis And Design Of Algorithms Lab 1

Semester 5
Course Title Credit
Statistical Data Analysis 4
Data Mining And Predictive Modeling 4
Statistical Data Analysis Lab 1
Data Mining And Predictive Modeling Lab 1
Programming in MATLAB 2
Programming in MATLAB LAB 1
DSE -1 3
DSE -1 LAB 1
DSE - 2 3

Semester 6
Course Title Credit
Internet Technologies 4
Blockchains 4
Computer Organization & Architecture 4
Neural Network 4
Blockchains Lab 1
DSE -3 4
DSE -3 LAB 1
Major Project 6


Eligibility Criteria

The Candidate should have passed the 10+2 examination conducted by the Central Board of Secondary Education or equivalent examination from a recognized board with Mathematics as one of the subjects with a minimum of 50% marks in aggregate.

Career Options

  • Data Collecting
  • Data Processing
  • Data Analyses

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