B.Tech Data Science

Businesses across various industries have recognized the value that data analytics can create to their firms. As a result, companies are increasingly adopting data science tools in their day-to-day operations to analyse huge volumes of data to extract valuable insights that can support business decisions. The demand for data science professionals has been on the rise and the need of the hour is to create the required talent pool of highly skilled and qualified engineers/executives. B.Tech CSE Data Science program offered by Maharishi Markandeshwar (Deemed-to-be University) is a program that aims at offering comprehensive training and practical skills in the area of big data analytics and data science in order to help students be successful during their careers.

  • Curriculum designed as per current industry requirements
  • Program tailored to produce skilled and ready-to-deploy talent
  • Best-in-class faculty
  • Tech-enabled program delivery using tablets, PCs and learning management system
  • Emphasis on application-oriented learning
  • Reputed university with excellent campus and infrastructure
  • 100% placement support*

Program Details

On completion of the program, students will be able to achieve the following:

  • Understand the recent developments and the application of big data and analytics engineering in social and web media firms for the purpose of predicting and recommending changes
  • Recognize various issues in everyday business across multiple business domains, apply data science to understand and make well-reasoned data-driven management decisions
  • Provide insight into leading analytic practices, design and lead iterative learning and development cycles, and ultimately produce new and creative analytic solutions that will become part of any business core deliverables
  • Advocate, evangelize and build data-fuelled products that help business firms to improve their fruitful outcomes

Curriculum*

*Subject to change

  • Engineering Mathematics – I
  • Engineering Physics
  • Engineering Graphics
  • Programming in C
  • Basic Electrical & Electronics Engineering
  • Engineering Physics Lab
  • Programming in C Lab
  • Effective Communication Skills
  • Engineering Mathematics – II
  • Engineering Chemistry
  • Operating System
  • Object Oriented Programming using Java
  • Data Structures and Algorithm
  • Engineering Chemistry Lab
  • Object Oriented Programming using Java Lab
  • Personality Development
  • Environmental Studies
  • Statistics and Probability
  • Introduction to Data Science
  • Computer Organization and Architecture
  • R Programming
  • Database Management Systems
  • Database Management Systems Lab
  • R Programming Lab
  • Business Communication & Presentation Skills
  • Machine Learning
  • Python Programming
  • Computer Networks
  • Statistical Inference
  • Discrete Mathematics
  • Python Programming Lab
  • Computer Networks Lab
  • Artificial Neural Networks
  • Big Data Analytics
  • NoSQL Database
  • Formal Languages and Automata Theory
  • Artificial Neural Networks Lab
  • Big Data Analytics Lab
  • NoSQL Database Lab
  • Effective Speaking and Listening Skills
  • Dimension Reduction and model Validation Techniques
  • Data Mining Techniques
  • Advanced Big Data Analytics
  • Departmental Elective -I
  • Departmental Elective –I Lab
  • Dimension Reduction and Model Validation Techniques Lab
  • Advanced Big Data Analytics Lab
  • Career Readiness Training – I

Departmental Elective – I

  • Exploratory Data Analysis
  • Data Analytics Using SQL
  • Data Visualization
  • Natural Language Processing
  • Departmental Elective -II
  • Departmental Elective -III
  • Departmental Elective -IV
  • Open Elective – I
  • Minor Project
  • Internship Seminar
  • Career Readiness Training – II

Departmental Elective II

  • Recommender System
  • Digital Image Processing

 Departmental Elective III

  • Reinforcement Learning
  • Pattern Recognition 

Departmental Elective IV

  • Time Series Analysis
  • Multivariate Statistical Analysis 

Open Elective I

  • Artificial Intelligence
  • Cloud Computing
  • Departmental Elective – V
  • Departmental Elective – V Lab
  • Open Elective – II
  • Open Elective – III
  • Major Project / Internship

Departmental Elective – V

  • Real Time Data Processing
  • Big Data Analytics on Cloud 

Open Elective – II

  • Security and Privacy for Data Analytics
  • Introduction to Security Analytics 

Open Elective – III

  • Internet of Things
  • UI/UX Design

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Duration: 4 Years | Full-time