M.Sc. in Artificial Intelligence is a 2- year long postgraduate programme divided into 4 semesters, spread over 6 months each. The goal of this curriculum is to acquaint enrolled students with the science and engineering behind programming computers to carry out tasks that would typically need 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 various areas of Artificial Intelligence and Machine Intelligence , innovative ability to solve new problems, and the capacity to learn continually and interact with trans-disciplinary groups
Eligibility for Admissions
The eligibility for admission to M Sc Artificial Intelligence programme offered by Mahatma Gandhi University is a B.Sc. Degree with Computer Science /Information Technology/Electronics/ Computer Applications / Cyber Forensics or BCA or B.Tech Degree in Computer Science/ IT/ Electronics or B Sc Degree in Mathematics / Physics / Statistics with Computer Science /Computer Applications as subsidiary/complementary or an equivalent degree from a recognized university, with not less than 55% marks.
Job Opportunities and Industrial Demand of this Course
Artificial Intelligence or AI career opportunities have escalated recently due to its surging demands in the industry. AI professionals have different job roles: AI data scientist, Machine Learning Engineer, AI Research Scientist, AI Software Developer, Natural Language Processing (NLP) Engineer, Robotics Engineer, AI Consultant, AI Quality Assurance (QA) Specialist ..etc
COURSE STRUCTURE
MSc ARTIFICIAL INTELLIGENCE
SEMESTER I
| Course Code. | Course Title | Credit |
| AI 010101 | Computer Architecture and Parallel Programming | 4 |
| AI 010102 | Introduction to Artificial Intelligence | 4 |
| AI 010103 | Database technology and NoSql | 4 |
| AI 010104 | Mathematical Foundations of AI | 4 |
| AI 010105 | Software Development Lab- I a) OOP using Java b) Database Technology Lab (Mysql & Mongodb) | 3 |
SEMESTER II
| Course Code. | Course Title | Credit |
| AI 010201 | Statistical Computing | 4 |
| AI 010202 | Soft Computing | 4 |
| AI 010203 | Data mining Techniques | 4 |
| AI 010204 | Data Structures and Algorithm Analysis | 4 |
| AI 010205 | Software Development Lab- II a) Soft Computing using Python b) Statistical Techniques with R | 3 |
SEMESTER III
| Course Code. | Course Title | Credit |
| AI 010301 | Machine Learning | 4 |
| AI 010302 | Introduction to Data Analytics | 4 |
| AI 010303 | Pattern Recognition | 4 |
| AI 8*0301 | Elective 1 | 4 |
| AI 010304 | Software Development Lab- III a) Mini Project b) Data analytics with R | 4 |
SEMESTER IV
| Course Code. | Course Title | Credit |
| AI 010401 | Digital Image Processing | 4 |
| AI 8*0402 | Elective 2 | 4 |
| AI 8*0403 | Elective 3 | 4 |
| AI 010402 | Main Project | 8 |
| AI 010403 | Viva voce | 2 |
