Program
B.Tech Computer Science & Engineering (Artificial Intelligence & Machine Learning)
APPLY NOWArtificial intelligence (AI) is a branch of computer science focused on making computers behave in human ways, such as rational thinking, perception and action. Machine Learning (ML) is a branch of artificial intelligence and one of the ways AI can be achieved. While AI initiatives make it possible for a machine to mimic human behavior based on what it has been taught, ML models help machines to teach themselves. This engineering program leads to a specialization in Artificial Intelligence and Machine Learning by combining important domains such as Mathematics, Computer Programming, Machine Learning, Statistics, and Software Design in order to mimic the complexity of human thought processes. Graduates of this program have opportunities to be employed by multinational IT companies and large Indian technology companies, as well as pursue higher studies.
-
Duration
4 Years Full-Time Program
Eligibility
Eligibility Norms For Admission To B. Tech Programs The candidate seeking admission for B. Tech Program should have passed in Pre-University / Higher Secondary / 10+2 examination from an approved State / Central govt. board or from an international board like University of Cambridge "A" level certificate OR certificate from International Baccalaureate (IB), Geneva, etc., with 45% marks in Physics and Mathematics as compulsory subjects along with either Chemistry / Biotechnology / Biology / Electronics / Computer as an additional subject, and with 60% aggregate of total marks in qualifying examination. Candidates should have appeared in any national / state level / Presidency University entrance examination viz. CET, Comed – K, JEE and such others.
Eligibility Norms For Admission To B. Tech Programs (Lateral) A candidate who has passed any diploma examination or equivalent examination and obtained a minimum of 60% aggregate is eligible for admission to B. Tech Programs (Lateral Entry). Candidate should have appeared in any state level entrance examination.
Career
- AI engineer
- Machine learning engineer
- Business intelligence developer
Curriculum
| Sl. No. | Category of Courses | Descriptions of the Category |
|---|---|---|
| 1 | SCHOOL CORE | All students of particular school have to compulsorily complete all the courses in this category |
| 2 | PROGRAM CORE | All students of particular programme have to compulsorily complete all the courses in this category |
| 3 | DISCIPLINE ELECTIVE | The students of the particular programme have a choice to pick up a set of courses from specialization baskets |
| 4 | OPEN ELECTIVE | The students have choice to pick up the courses from across the University offering (across all schools) courses |
Details For Courses
| Sl.No. | Course Name |
|---|---|
| 1 | Calculus and Linear Algebra |
| 2 | Transform Techniques, Partial Differential Equations and their Applications |
| 3 | Applied Statistics |
| 4 | Numerical Methods for Engineers |
| 5 | Problem Solving using JAVA |
| 6 | Data Structures and Algorithms |
| 7 | Basic Engineering Sciences |
| 8 | Engineering Graphics |
| 9 | Innovation Project - Arduino using C |
| 10 | Innovation Project - Rasberry Pi using Python |
| 11 | Capstone Project |
| 12 | Internship |
| 13 | Elements of Electronics Engineering / Fundamentals of Electrical and Electronics Engineering |
| 14 | Material Physics / Optoelectronics and Device Physics |
| 15 | English and Foreign Languages (Foundations of English / Technical English / Advanced English / Basic Spanish / Basic French / Basic German / Proficiency in French) |
| 16 | Soft Skills Courses (Introduction to Soft Skills / Soft Skills for Engineers / Reasoning and Employment Skills / Being Corporate Ready / Problem Solving through Aptitude / Programming skills for employment) |
| 17 | Life Skills |
| 18 | Environmental Science |
| 19 | Co/ Extra-Curricular Basket (Student has to serve in atleast one club) |
| Sl. No. | Course Name |
|---|---|
| 1 | Web Technologies |
| 2 | Design and Analysis of Algorithms |
| 3 | Computer Organization and Architecture |
| 4 | Operating system with Linux Internals |
| 5 | Data Communications and Computer Networks |
| 6 | Database Management Systems |
| 7 | Cloud Computing |
| 8 | Software Engineering |
| 9 | Digital Design |
| 10 | Discrete Mathematical Structures |
| 11 | Theory of Computation |
| 12 | Artificial Intelligence and Machine Learning |
| 13 | Information Security and Mangement |
| 14 | Fundamentals of Data Analytics |
| 15 | Neural Networks and Fuzzy Logic |
| 16 | Machine Learning Techniques |
| 17 | Reinforcement Learning |
| 18 | Deep Learning Techniques |
| 19 | Fundamentals of Natural Language Processing |
| 20 | Data Handling and Visualization |
Artificial Intelligence and Machine Learning Basket
| Sl.No. | Course Name |
|---|---|
| 1 | Optimization Techniques for Machine Learning |
| 2 | Applied Artificial Intelligence |
| 3 | Time Series Analysis |
| 4 | Advanced Natural Language Processing |
| 5 | Autonomous Navigation and Vehicles |
| 6 | Digital Health and Imaging |
| 7 | Stochastic Decision Making |
| 8 | Business Intelligence and Analytics |
| 9 | Cognitive Science & Analytics |
| 10 | Expert Systems |
Big Data Basket
| Sl.No. | Course Name |
|---|---|
| 1 | Data Mining |
| 2 | Domain Specifice Predictive Analytics |
| 3 | Data Warehousing and its Applications |
| 4 | NoSQL Databases |
| 5 | Big Data Technologies |
| 6 | Mining Masive Datasets |
| 7 | Web Intelligence and Analytics. |
| 8 | Streaming Data Analytics |
| 9 | Information Visualization |
| 10 | Big Data Security and Privacy |
Block Chain Basket
| Sl.No. | Course Name |
|---|---|
| 1 | Foundations of Blockchain Technology |
| 2 | Blockchain Technology and Applications |
| 3 | Smart Contract and Solidity |
| 4 | Blockchain for Public Sector |
| 5 | Cryptocurrency Technology |
| 6 | Distributed Ledger Technology |
| 7 | Emerging Areas in Blockchain |
| 8 | Industry Use Cases using Blockchain |
| 9 | Blockchain Security and Performance |
Cyber Security Basket
| Sl.No. | Course Name |
|---|---|
| 1 | Cyber Forensics |
| 2 | Privacy and Security in Online Social Media |
| 3 | Ethical Hacking |
| 4 | Cyber Threats for IoT and Cloud |
| 5 | Intrusion Detection and Prevention |
| 6 | Cyber Security |
| 7 | Cyber Digital Twin |
| 8 | Web Security |
| 9 | Vulnerability Assessment and Penetration Testing |
| 10 | Digital and Mobile Forensics |
| 11 | Security Assessment and Testing |
| 12 | Digital Watermarking and Steganography |
| 13 | Malware Analysis |
Data Science Basket
| Sl.No. | Course Name |
|---|---|
| 1 | Business Continuity and Risk Analysis |
| 2 | Statistical Foundations of Data Science |
| 3 | Web Data Analytics |
| 4 | R programming for Data Science |
| 5 | Predictive Analytics |
| 6 | Optimization for Data Science |
| 7 | Applied Data Science |
| 8 | Social Media Analytics |
| 9 | E-Business and Marketing Analytics |
| 10 | Text Mining and Analytics |
DevOps Basket
| Sl.No. | Course Name |
|---|---|
| 1 | Agile Structures and Frameworks |
| 2 | Applied DevOps |
| 3 | Automated Test Management |
| 4 | Build and Release Management |
| 5 | Development Automation |
| 6 | DevOps Tool Internals |
| 7 | Software Project Management |
| 8 | System Monitoring |
| 9 | System Provisioning and Configuration Management |
IoT Basket
| Sl.No. | Course Name |
|---|---|
| 1 | Introduction to Fog Computing |
| 2 | Big Data Analytics for IoT |
| 3 | Wireless Communication in IoT |
| 4 | Privacy and Security in IoT |
| 5 | Mobile Application for IoT |
| 6 | IoT Architecture and Protocols |
| 7 | IoT Platforms and Application Development |
| 8 | Industrial Internet of Things (IIoT) |
| 9 | Internet of Medical Things (IoMT) |
General Basket
| Sl.No. | Course Name |
|---|---|
| 1 | Go Programming |
| 2 | Computer Graphics |
| 3 | Advanced Java Programming |
| 4 | Programming in C++ |
| 5 | Advanced Database Management Systems |
| 6 | Introduction to Bioinformatics |
| 7 | Advanced Computer Networks |
| 8 | Computer Vision |
| 9 | Wireless Sensor Networks |
| 10 | Game Design and Development |
| 11 | Microprocessors and Microcontrollers |
| 12 | Mobile Application Development |
| 13 | Compiler Design |
| 14 | Parallel Computing |
| 15 | Quantum Computing |
| 16 | Digital Image Processing |
| 17 | Object Oriented Analysis and Design |
| 18 | Advanced Computer Architecture |
| 19 | Software Quality Assurance |
| 20 | Real Time Operating System |
| 21 | Information Theory and Coding |
| 22 | Software Architecture |
| 23 | 5G Networking |
| 24 | Programming in C# and .NET |
| 25 | Distributed Systems |
| 26 | Cryptography & Network Security |
| 27 | Operating Systems |
Cloud Computing Basket
| Sl.No. | Course Name |
|---|---|
| 1 | Edge Computing |
| 2 | Cloud Security |
| 3 | Data Center Design |
| 4 | Cloud Application Devlopment |
| 5 | Middleware Technologies |
Information Science & Engineering Basket
| Sl.No. | Course Name |
|---|---|
| 1 | System Software |
| 2 | Information Retrieval |
| 3 | Enterprise Network Design |
| 4 | Pattern Recognition |
| 5 | Search Engine Optimization |
| 6 | Service Oriented Architecture |
| 7 | E-Commerce |
Information Science & Technology Basket
| Sl.No. | Course Name |
|---|---|
| 1 | Storage Area Networks |
| 2 | Information Syatem Audit |
| 3 | Web 2.0 |
| 4 | Cloud Computing and Virtualization |
| 5 | Firewall and Internet Security |
| 6 | Mobile Networking |
| 7 | Human Computer Interaction |
| 8 | Infrastructure Management |
| 9 | Network Management Systems |
+91 9022092222
admission@presidencyuniversity.in
Itgalpura, Rajanukunte, Yelahanka, Bengaluru, Karnataka, Pin: 560064, India
+91 9022092222