M.Sc. (Artificial Intelligence & Data Analytics)
M.Sc. (Artificial Intelligence & Data Analytics)
Program Code 101756
Institute
Amity Institute of Information Technology
University
Amity University Uttar Pradesh
Eligibility
For Non- Sponsored: Bachelor's Degree ...

Selection Process
Personal Interview
Program Fee
|
(Rs. in Lacs)
|
1st Year Non Sponsored Semester
|
0.95
|
1st Year Sponsored Semester Fee
|
1.425
|
Course Structure
Semester 1
-
Core Java [Core Courses]
-
Introduction to Networks [Core Courses]
-
Machine Learning using Python [Core Courses]
-
Operating Systems-theory and Practices [Core Courses]
-
Country Report - I [SAP Courses (Optional)]
-
International Management Practices [SAP Courses (Optional)]
-
Strategy, Innovation & Entrepreneurial Development [SAP Courses (Optional)]
-
Elementary Arabic - I [Common Curriculum Courses]
-
Elementary Chinese - I [Common Curriculum Courses]
-
Elementary French-I [Common Curriculum Courses]
-
Elementary German-I [Common Curriculum Courses]
-
Elementary Japanese-I [Common Curriculum Courses]
-
Elementary Russian - I [Common Curriculum Courses]
-
Elementary Sanskrit - I [Common Curriculum Courses]
-
Elementary Spanish -I [Common Curriculum Courses]
-
Professional & Business Communication [Common Curriculum Courses]
-
Social Responsibility & Community Engagement [Common Curriculum Courses]
-
Universal Human Values [Common Curriculum Courses]
-
Foreign Business Language
-
Open Elective Courses
-
Outdoor Activity Based Courses
Semester 2
-
Advanced Soft Computing [Specialisation Elective Courses]
-
AI Tools and Applications [Specialisation Elective Courses]
-
Deep Learning Algorithms and Applications [Specialisation Elective Courses]
-
Industrial Internet of Things [Specialisation Elective Courses]
-
Network Security and Cryptography [Specialisation Elective Courses]
-
Optimization Methods for Machine Learning [Specialisation Elective Courses]
-
Social Network Analytics [Specialisation Elective Courses]
-
Quantitative Aptitude-I [Employability & Skill Enhancement Courses]
-
Information Retrieval System [Core Courses]
-
Probabilistic Graphical Models [Core Courses]
-
Research Methodologies [Core Courses]
-
Statistical Learning and Inferential Statistics [Core Courses]
-
Internet of Everything [SAP Courses (Optional)]
-
Cognitive Analytics & Social Skills for Professional Development [Behavioural Science]
-
Foreign Business Language
-
Open Elective Courses
-
Outdoor Activity Based Courses
Semester 3
-
Summer Internship [Supervised Independent Learning/ Non-Teaching Credit Courses]
-
Data Visualization [Specialisation Elective Courses]
-
Deep Learning Algorithms and Applications [Specialisation Elective Courses]
-
Internet of Everything [Specialisation Elective Courses]
-
Natural Language Processing Algorithm and Applications [Specialisation Elective Courses]
-
Quantitative Aptitude-I [Specialisation Elective Courses]
-
Reinforcement Learning Algorithms and Applications [Specialisation Elective Courses]
-
Text Mining and Analytics [Specialisation Elective Courses]
-
Aptitude and Reasoning Ability for Skill Enhancement (ARASE) [Employability & Skill Enhancement Courses]
-
Business Intelligence and Analytics [Core Courses]
-
Pattern Recognition and Image Processing [Core Courses]
-
Business Analytics and Modelling [SAP Courses (Optional)]
-
Country Report – III [SAP Courses (Optional)]
-
Research Methods and Professional Writing in Global Environment [SAP Courses (Optional)]
-
Professional Ethics and Social Responsibility for Sustainability [Professional Ethics]
-
Foreign Business Language
-
Open Elective Courses
-
Outdoor Activity Based Courses
Semester 4
-
Dissertation [Supervised Independent Learning/ Non-Teaching Credit Courses]
-
Internet of Everything [SAP Courses (Optional)]
-
Foreign Business Language
-
Open Elective Courses
-
Outdoor Activity Based Courses