info@acharya.uz   +998 (55) 301 0009   Karakul, Uzbekistan
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B.Tech Data Science

Programme Details

The program aims to produce manpower trained to understand the science in learning from data and the needed computing skills to develop practical solutions through foundational courses in mathematics, statistics and computer science with both theory and practical courses in Data Science which includes Machine Learning, Deep Learning, Artificial Intelligence, Natural Language Processing, Data Analysis, and Data Visualization.

Upon completion of the program, graduates will have a balanced theoretical knowledge and practical skills of data science & computing to draw insights from the raw data. Graduates would take up the roles of Data Analyst, Data Engineer, and Data Scientist who develops AI solutions for real world problems.


Course Content

Semester 1

  • English 101
  • Mathematics 101
  • Introduction to Computer Programming
  • Computer Programming Lab using Python
  • English Lab - 101
  • Audit Course

Semester 2

  • English - 201
  • Mathematics - 201
  • Fundamentals of Computer Organization
  • Problem Solving Using C
  • Problem Solving Using C - Lab
  • English Lab - 201
  • Audit Course

Semester 3

  • Employbility Skills - 301
  • Discrete Mathematical Structures with Graph theory
  • Operating Systems
  • Data Structures using C
  • Open Elective - I
  • Data Structures Lab
  • Audit Course

Semester 4

  • Introduction to Web Programming
  • Database Management Systems
  • Design and Analysis of Algorithms
  • Open Elective - II
  • Emplobility Skills - 401
  • Web and Database- Lab
  • Audit Course

Semester 5

  • Data Science and Statistical Modelling
  • Software Engineering
  • Introduction to AI-ML
  • Employbility Skills - 501
  • Open Elective - III
  • Machine Learning Laboratory
  • Audit Course

Semester 6

  • Data Mining and Data Warehousing
  • Program Specific Electives- I
  • Program Specific Electives - II
  • Open Elective - IV
  • Object Oriented Programming using Java
  • Technical Seminar
  • Employbility Skills - 601
  • Audit Course

Semester 7

  • Big Data Analytics
  • Program Specific Electives - III
  • Program Specific Electives - IV
  • Data Visualisation and Reporting Lab
  • Project - Phase I

Semester 8

  • Project - Phase II
  • Internship