UG Program

B.Tech. Datascience & Artificial Intelligence

Datascience & Artificial Intelligence

B.Tech. Datascience & Artificial Intelligence Course Curriculum

Year Semester-I Semester-II
I Chemistry Thermodynamics
English Language Skills Probability & Statistics
Linear Algebra Higher Calculus
Physics I Physics II
Engineering Graphics Scientific Measurements
Computer Programming I Workshop Practice
Environmental Science Computer Programming II
II Semester-III Semester-IV
Electrical Sciences I Electrical Sciences II
Digital Electronics Engineering Measurements
Engineering Mechanics Professional Communication
Principles of Economics Principles of Management
Complex Variables Optimization Techniques
Differential Equations & Fourier Series Structure & Properties of Materials
Discipline Core Course (1) Discipline Core Course (1)
Summer Term INTERNSHIP PROGRAM I (for Internship option)
III Semester-V Semester-VI
Numerical Methods Humanities Elective
Control Systems Compulsory Discipline Courses (CDC)(4)
Compulsory Discipline Courses (CDC)(4) Elective (1) / Special Project
IV Semester-VII Semester-VIII
Internship Program II / Thesis & Seminar (OR) Electives (5) Electives (5) (OR) Internship Program II / Thesis & Seminar

What makes us different?

Highly Qualified and Competent Faculties

ICFAI Tech School has highly qualified and competent faculties both from reputed institute of International and national fames.

7 and 1/2 months Intersnhip Program

The Internship Programs ensure that linkages are developed and sustained with industrial and other organizati ons outside the world of academia.

MoU with top notch Organizations.

ICFAI Tech School offers cutting edge programs which is designed as per the emerging technological scenarios.

List of Discipline Core Courses
Data Science and Arti fi cial Intelligence (DS & AI) Discrete Structures for Computer Science Data Structures

Compulsory Discipline Courses (CDC)

Data Science and Artificial Intelligence (DS & AI)

  1. Artificial Intelligence
  2. Operating Systems
  3. Introduction to Data Science
  4. Data Warehousing and Mining
  5. Machine Learning
  6. Expert Systems
  7. Computer Networks
  8. Neural Networks & Fuzzy Logic

List of Electives

Data Science and Artificial Intelligence (DS & AI)

  1. Database Administration
  2. SQL & DB Applications
  3. Database Security & Privacy
  4. Wireless Networks
  5. Network Administration
  6. Network Security
  7. Cyber Security
  8. Advanced JAVA
  1. Mobile Application Development
  2. Scripti ng Languages
  3. Web Enabled Technologies
  4. Computer Graphics
  5. Soft ware Engineering
  6. Service Oriented Architecture
  7. Object Oriented Analysis & Design
  1. Soft ware Testi ng Methodologies
  2. High Performance Computing
  3. Advanced Computer Architecture
  4. Multi core Architecture
  5. Parallel Computing