MSc Artificial Intelligence is a 2-year postgraduate course which is designed to teach the students the basics and applications of Artificial Intelligence.
The main objective of this course is to ensure that students will have a solid understanding of the fundamentals of Artificial Intelligence as well as Machine Learning in theory and practice.
This course covers various areas related to machine learning and probabilistic reasoning. In addition, students will also be taught natural language and computer vision so that the students get themselves familiarized with the science that makes use of machines able to execute tasks that require human intelligence.
Students who have completed MSc in Artificial Intelligence program have career opportunities in both Public and Private sectors where they can work as a Big Data Engineer, User Experience Specialist, Game Programmer, Machine Learner, etc.
Aim of the Programme
M.Sc. in Artificial Intelligence is a 2- year postgraduate course divided into 4 semesters, spread over 6 months each. The course is designed to familiarize enrolled students with the science and engineering of making computer machines able to perform tasks which normally require human intelligence. It is a branch of Computer Science that aims to develop intelligent computer machines. This program focuses on building a broad grasp upon foundations in Computer Science, deep understanding of the area of specialization, an innovative ability to solve new problems, and a capacity to learn continually and interact with trans-disciplinary groups.
This course is designed to create skilled professionals who can cater to the needs of government, industry and scientific organizations in the Computer Science and Machine Intelligence related areas. One can expect jobs at public and private sectors for Artificial Intelligence Agencies, Robotics companies and Coordinating Committee for Artificial Intelligence, and many more upon successful completion of the course.
Programme Objective:-
The objective of this Post Graduate course is:
- To impart theoretical and practical knowledge in the specialized area of Artificial Intelligence.
- This is the branch of computer science and engineering that specializes in making computer machines able to perform tasks which normally require human intelligence, such as visual perception, speech recognition, decision-making, and translation of languages.
- This course is also designed to expose students to the frontiers of AI-intensive computing and information systems while providing a sufficiently strong foundation to encourage further research.
Specializations Offered
Two specializations are offered by means of two groups of electives with three courses each, spread over the third and fourth semesters of the programme. Any one group can be selected and the selection of courses from different groups is not allowed.
| Specialization I (Group-A) Data Analytics | Specialization II (Group-B) Software Design and Security |
| Name of the Courses | Name of the Courses |
| Internet Of Things | Web Programming Using PHP |
| Advanced Data Analytics | Computer Security |
| Natural Language Processing | Cloud Computing |
Curriculum Design Abstract
SEMESTER 1
AI 010101 COMPUTER ORGANIZATION AND ARCHITECTURE
AI 010102 OBJECT ORIENTED PROGRAMMING THROUGH JAVA
AI 010103 INTRODUCTION TO ARTIFICIAL INTELLIGENCE
AI 010104 MATHEMATICAL FOUNDATIONS
AI 010105 PROGRAMMING LAB
SEMESTER 2
AI 010201 PROBABILITY AND STATISTICS
AI 010202 DATA STRUCTURE AND ALGORITHM ANALYSIS
AI 010203 DATA MINING AND DATA WAREHOUSING
AI 010204 OPERATING SYSTEMS AND CASE STUDIES
AI 010205 PROGRAMMING LAB IN R
SEMESTER 3
AI 010301 DATABASE MANAGEMENT SYSTEM
AI 010302 COMPUTATIONAL LINGUISTICS
AI 010303 COMPUTER NETWORKS
AI 8*0301 ELECTIVE- 1
AI 010304 MINI PROJECT USING PYTHON AND SQL LAB
SEMESTER 4
AI 010401 DATA ANALYTICS
AI 8*0402 ELECTIVE- 2
AI 8*0403 ELECTIVE- 3
AI 010402 MAIN PROJECT
AI 010403 VIVA- VOCE
ELECTIVE I GROUP A: DATA ANALYTICS
AI 800301 INTERNET OF THINGS
AI 800402 ADVANCED DATA ANALYTICS
AI 800403 NATURAL LANGUAGE PROCESSING
ELECTIVE II GROUP B: SOFTWARE DESIGN AND SECURITY
AI 810301 WEB PROGRAMMING USING PHP
AI 810402 COMPUTER SECURITY
AI 810403 CLOUD COMPUTING
Eligibility
The eligibility for admission to Msc. Artificial Intelligence programme offered by Mahatma Gandhi University is a Computer Science/IT/Electronics/Computer Applications (Triple Mains)/ Cyber Forensics/BCA with not less than CGPA of 2.20 out of 4 in the Core Group (Core + Complementary + Open Courses). Graduation in Computer Science/IT/Electronics/ Computer Applications(Triple Main)/ Cyber Forensics/ BCA with not less than CCPA of 5.50 out of 10.00 in the Core Group(Core + Complemetary + Open Courses). Graduation in Computer Science/IT/Electronics/Computer Applications(Tripla Main)/ Cyber Forensics/ BCA with not less than 55% marks in the Part III subjects(Main/Core + subsidiaries/ Complementaries). Graduates in Physics/Mathematics/Statistics with Computer Science/ Computer Applications as subsidiary or Complementary are also eligible provided such candidates should have secured a minimum CGPA of 2.20 out of 4 in the Core Group( Core + Complementary + Open Courses). Graduates in Physics/Mathematics/Statistics with Computer Science/Computer Applications as subsidiary or Complementary are also eligible to apply provided such candidates should have secured a minimum CGPA of 5.50 out of 10 in the Core Group( Core + Complementary + Open Courses). Graduates in Physics/Mathematics/Statistics with Computer Science/Computer Applications as subsidiary or Complementary are also eligible provided such candidates should have secured a minimum 55% marks in the Part III subjects(Main/Core/subsidiaries/Complementaries). B. Tech Graduates in Computer Science/IT/Electronics with a minimum of 55% marks are also elgibile to apply.