M.Tech. Artificial Intelligence and Data Science (Specialization in Cyber Security)
School of Cyber Security & Digital Forensics
Program Overview
The master degree “M.Tech in Artificial Intelligence and Data Science (specialization in Cyber Security)” is a two years post graduate program for the under graduates who would like to pursue their career in the relevant field. AI is an interdisciplinary science with multiple approaches to build smart machines capable of performing tasks that typically require human intelligence. Data Science (DS) is an umbrella term for a group of fields that are used to analyze large datasets. It is the field of study that combines domain expertise, programming skills, and knowledge of mathematics and statistics to extract meaningful insights from data. The curriculum is structured so that it includes both foundational level courses and advanced level courses in AI, DS, and Cyber Security. Students can get a foundational grasp of AI & DS by taking foundational courses like, Foundations of Artificial Intelligence, Fundamentals of Data Science, Deep Learning, and Natural Language Processing. In addition, cyber security courses like Network Security and Forensics, Incident Response and Audit Compliance, Mobile Security and Forensics give insights to cut through the noise of daily alerts, drastically reducing response times. After successful completion of the program, students will be able to develop solutions to real world problems in the emerging areas of Manufacturing, Agriculture, Health-care, Education and Cyber Security. Systematically investigate and provide Artificial Intelligence and Data Science based solutions in multidisciplinary domains.
| Semester | Sr no | CourseCode | Course | CourseCredit |
|---|---|---|---|---|
| Sem-1 | 1 | CTMTAIDS SI P1 | Mathematical and Computational Foundation for Artificial Intelligence | 3 |
| Sem-1 | 2 | CTMTAIDS SI P2 | Network Security and Forensics | 3 |
| Sem-1 | 3 | CTMTAIDS SI P3 | Incident Response and Audit Compliances | 3 |
| Sem-1 | 4 | CTMTAIDS SI P4 | Fundamentals of Data Science and Machine Learning | 3 |
| Sem-1 | 5 | CTMTAIDS SI P5 | Introduction to Forensic Science and Cyber Law | 4 |
| Sem-1 | 6 | CTMTAIDS SI L1 | Mathematical and Computational Foundation for Artificial Intelligence Laboratory | 1 |
| Sem-1 | 7 | CTMTAIDS SI L2 | Network Security and Forensics Laboratory | 1 |
| Sem-1 | 8 | CTMTAIDS SI L3 | Incident Response and audit compliances Laboratory | 1 |
| Sem-1 | 9 | CTMTAIDS SI L4 | Fundamentals of Data Science and Machine Learning Laboratory | 1 |
| Sem-2 | 1 | CTMTAIDS SII P1 | Advanced Machine Learning for Cyber Security and Forensics | 3 |
| Sem-2 | 2 | CTMTAIDS SII P2 | Mobile Security and Forensics | 3 |
| Sem-2 | 3 | CTMTAIDS SII P3 | Natural Language Processing | 3 |
| Sem-2 | 4 | CTMTAIDS SII P4 | Intelligent Systems and Security | 3 |
| Sem-2 | 5 | CTMTAIDS SII P5 | Program Elective | 3 |
| Sem-2 | 6 | CTMTAIDS SII L1 | Advanced Machine Learning for Cyber Security and Forensics Laboratory | 1 |
| Sem-2 | 7 | CTMTAIDS SII L2 | Mobile Security and Forensics Laboratory | 1 |
| Sem-2 | 8 | CTMTAIDS SII L3 | Natural Language Processing Laboratory | 1 |
| Sem-2 | 9 | CTMTAIDS SII L4 | Intelligent Systems and Security Laboratory | 1 |
| Sem-2 | 10 | CTMTAIDS SII L5 | Program Elective Laboratory | 1 |
| Sem-3 | 1 | CTMTAIDS SIII P1 | Major Project -I | 20 |
| Sem-4 | 1 | CTMTAIDS SIV P1 | Major Project -II | 20 |
Intake
Eligibility Criteria
B.E./B.Tech. in Computer Engineering/Technology OR Computer Science and Engineering OR Information Technology Engineering OR Information and Communication Technology OR Electronic and Communications Engineering OR Master of Computer Applications(MCA) OR M. Sc. CSE /IT OR equivalent qualification from recognized University with minimum 55% (50% in case of SC/ST/PWD Candidates) at the qualifying examination.
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