152 weeks
India
Apollo University
Artificial Intelligence (AI) is the theory and development of computer systems capable of performing tasks that typically require human intelligence, such as visual perception, speech recognition, decision-making, and language translation. Machine Learning (ML), a subset of AI, focuses on automating data analysis and building predictive models without explicit programming. With AI/ML adoption rapidly increasing across industries, businesses worldwide are leveraging these technologies for enhanced agility, innovation, and scalability in their digital transformation journey.
In response to this growing demand, The Apollo University offers a four-year B.Tech CSE (Artificial Intelligence and Machine Learning) program. This course provides a strong foundation in AI principles and technologies, covering key areas such as logic, knowledge representation, probabilistic models, and machine learning. Designed for students aspiring to become AI/ML experts, the program equips them with cutting-edge skills, enabling them to excel in emerging technologies and secure promising career opportunities in the evolving tech landscape.
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
Semester III
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
Artificial Intelligence
Database Management Systems
Operating Systems
Machine Learning
Universal Human Values
Database Management Systems Lab
Machine Learning Lab
Semester V
Computer Networks
Automata and Compiler Design
Data Analysis and Visualization
Faculty Elective – I
Programme Elective – I
MOOC – I
Computer Networks Lab
Data Visualization Lab
Internship-I Evaluation
Semester VI
Computer Networks
Automata and Compiler Design
Data Analysis and Visualization
Faculty Elective – I
Programme Elective – I
MOOC – I
Computer Networks Lab
Data Visualization Lab
Internship-I Evaluation
Semester VII
AI in Block Chain
Sentiment Analysis
Smart Product Development
Cyber Security
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.
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.
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.
Opting for a placement year in the B.Tech CSE (Artificial Intelligence & Machine Learning) program provides hands-on industry experience, boosting your career prospects and professional network. It also offers financial support while you gain real-world AI/ML skills.
Our dedicated Placements Team assists with research, applications, and interview preparation. While securing a placement is your responsibility, we provide extensive employability resources. Students have secured placements with top companies like Google, Microsoft, and IBM.
The collaboration between KCIC and The Apollo University offers a cutting-edge B.Tech CSE (Artificial Intelligence & Machine Learning) program, equipping students with in-depth AI/ML expertise and industry-ready skills. This program prepares graduates for dynamic roles in AI-driven industries, including software development, data science, and automation.
Graduates from this program have secured positions such as:
This pathway ensures students are well-prepared for the rapidly evolving AI landscape. 🚀