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CSE- Artificial Intelligence and Data Science,
B.Tech

Course Code

Levels

Duration

152 weeks

Location

India

Awarded By

Apollo University

The B.Tech in Artificial Intelligence & Data Science at Apollo University is designed to equip students with cutting-edge skills in AI, machine learning, and big data analytics. The program focuses on developing expertise in programming, neural networks, deep learning, and data-driven decision-making, preparing students for the ever-evolving technology landscape.

With a strong emphasis on practical learning, industry collaborations, and hands-on projects, students gain real-world exposure to AI applications in various domains, including healthcare, finance, and automation. Graduates will be well-prepared for careers as AI engineers, data scientists, and machine learning experts in top global companies.

PROGRAM DETAILS

Semester I
Engineering Physics
Engineering Mathematics
Problem Solving and Programming with C
Communicative English
University Elective I
Engineering Physics Lab
Problem Solving and Programming with C Lab
Semester II
Probability & Statistics
Basic Electrical and Electronics Engineering
Data Structures
Python Programming
Environmental Studies
University Elective II
Basic Electrical and Electronics Engineering        Lab
Data Structures Lab
Python Programming Lab
Discrete Mathematics and Graph Theory
Design and Analysis of Algorithms
Object Oriented Programming through Java
Digital Logic design
University Core – III
University Elective -III
Constitution of India
Java Programming Lab
Digital Logic Design Lab

Semester IV

Deterministic Stochastic and Statistical Methods
Management for Engineers
Software Engineering
Database Management Systems
Operating Systems
Computer Organization and Architecture
Universal Human Values
Database Management Systems Lab
Exploratory Data Analytics with R lab

Semester V

Machine Learning

Computer Networks

Automata and Compiler Design

Faculty Elective – I

Programme Elective – I

MOOC – I

Machine Learning Lab

Computer Networks Lab

Semester VI

Natural Language Processing

Data Warehousing and Mining

Faculty Elective – II

Programme Elective – II

Programme Elective – III

MOOC – II

Natural Language Processing lab

Data Warehousing and Mining lab

Semester VII

Social Network Analysis

AI in Block Chain

Sequential Malware Analysis in Data Science

Social Media Analytics

Financial Analytics

Semester VIII

Project Work

Comprehensive Viva-Voce

Candidates must secure 50% in Physics, Chemistry and Mathematics of Intermediate or in the diploma course or must have appeared for Class 12 or equivalent examination with Physics, Chemistry, and Mathematics as major subjects from any recognized board. Candidates who have completed or qualified the final year of diploma in engineering courses are also eligible Candidates must not exceed the age of 24 years and the minimum age for applying is 17 years as on 31st December of Calendar Year.

Entry Requirements
50%
Maths
50%
Physics
50%
Chemistry
July 2025 Intake

The July 2025 intake is ideal for students completing their State Board exams, such as those from Tamil Nadu, Andhra Pradesh, and other Indian state boards, where final exams typically conclude by April. Applications for this intake will close on April 2025.

Before the main program begins, students will participate in a 2-week foundation course, designed to strengthen academic skills, introduce key concepts, and provide orientation to ensure a smooth transition into higher education.

January 2026 Intake

The January 2026 intake is best suited for students following international curricula such as IB, A-Level, Edexcel, or other similar boards, where final exams generally conclude by January. Applications for this intake will close on September 2025.

Before the main program begins, students will participate in a 2-week foundation course, designed to strengthen academic skills, introduce key concepts, and provide orientation to ensure a smooth transition into higher education.

CONVERT TO A DEGREE

The B.Tech Artificial Intelligence and Data Science (AI & DS) program at Apollo University provides students with in-depth knowledge of AI, machine learning, big data analytics, and deep learning. The curriculum combines fundamental programming languages like Python, C, and Java with advanced AI technologies to meet industry demands.

Graduates can explore careers as AI engineers, data scientists, machine learning specialists, and big data analysts or pursue higher education like M.Tech, MBA in AI & Data Analytics, or international master’s programs. With hands-on training, research opportunities, and industry collaborations, Apollo University prepares students for global career success in the AI-driven world.

PROGRESSION

Employment Pathway

B.Tech Artificial Intelligence & Data Science graduates can pursue roles in top tech industries, including:

  • AI Engineer
  • Data Scientist
  • Machine Learning Engineer
  • Big Data Analyst
  • Cloud Engineer
  • Business Intelligence Analyst
  • Research Scientist

With expertise in AI, machine learning, big data, and analytics, graduates secure positions in IT firms, research organizations, and multinational companies, with salaries varying based on specialization and industry demand.

With Apollo University’s industry-aligned curriculum, hands-on training, and strong industry collaborations, students are well-prepared for global career opportunities and higher studies.

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