The syllabus for the first year of B.E. Artificial Intelligence & Data Science syllabus Mumbai University is the same for all branches. The second-year syllabus for the AI_DS branch is the same as the Computer branch. However, the third-year syllabus differs.
First Year Engineering
SEMESTER I
- FEC101 Engineering Mathematics-I
 - FEC102 Engineering Physics-I
 - FEC103 Engineering Chemistry-I
 - FEC104 Engineering Mechanics
 - FEC105 Basic Electrical Engineering
 - FEL101 Engineering Physics-I
 - FEL102 Engineering Chemistry-I
 - FEL103 Engineering Mechanics
 - FEL104 Basic Electrical Engineering
 - FEL105 Basic Workshop practice-I
 
SEMESTER II
- FEC201 Engineering Mathematics-II
 - FEC202 Engineering Physics-II
 - FEC203 Engineering Chemistry-II
 - FEC204 Engineering Graphics
 - FEC205 C programming
 - FEC206 Professional Communication and Ethics- I
 - FEL201 Engineering Physics-II
 - FEL202 Engineering Chemistry-II
 - FEL203 Engineering Graphics
 - FEL204 C programming
 - FEL205 Professional Communication and Ethics- I
 - FEL206 Basic Workshop practice-II
 
Second Year Engineering
SEMESTER III
- CSC301-Engineering Mathematics III
 - CSC302-Discrete Structures and Graph Theory
 - CSC303-Data Structure
 - CSC304-Digital Logic & Computer Architecture
 - CSC305-Computer Graphics
 - CSL301-Data Structure Lab
 - CSL302- Digital Logic & Computer Architecture Lab
 - CSL303- Computer Graphics Lab
 - CSL304- Skill base Lab course: Object Oriented Programming with Java
 - CSM301- Mini Project – 1 A
 
SEMESTER IV
- CSC401- Engineering Mathematics IV
 - CSC402- Analysis of Algorithm
 - CSC403- Database Management System
 - CSC404- Operating System
 - CSC405- Microprocessor
 - CSL401- Analysis of Algorithm Lab
 - CSL402- Database Management System Lab
 - CSL403- Operating System Lab
 - CCSL404- Microprocessor Lab
 - CSL405- Skill Base Lab Course: Python Programming
 - CSM401- Mini Project 1-B
 
Third Year Engineering
SEMESTER V
- CSC501-Computer Network
 - CSC502- Web Computing
 - CSC503- Artificial Intelligence
 - CSC504- Data Warehousing & Mining
 - CSDLO5011- Statistics for Artificial Intelligence & Data Science
 - CSL501- Web Computing and Network Lab
 - CSL502- Artificial Intelligence Lab
 - CSL503- Data Warehousing & Mining Lab
 - CSL504- Business Communication and Ethics-II
 - CSM501- Mini Project: 2 A
 
SEMESTER VI
- CSC601- Data Analytics and Visualization
 - CSC602- Cryptography and System Security
 - CSC603- Software Engineering and Project Management
 - CSC604- Machine Learning
 - CSDLO6011- High Performance Computing
 - CSL601- Data Analytics and Visualization Lab
 - CSL602- Cryptography & System Security Lab
 - CSL603- Software Engineering and Project Management Lab
 - CSL604- Machine Learning Lab
 - CSL605- Skill base Lab Course: Cloud Computing
 - CSM601- Mini Project: 2 B
 

Final Year Engineering
SEMESTER VII
- CSC701 Deep Leaning
 - CSC702 Big Data Analytics
 
CSDO 701X Department Level Optional Course 3
- CSDO7011: Natural Language Processing
 - CSDO7012.: AI for Healthcare
 - CSDO7013: Neural Network & Fuzzy System
 
CSDO 702X Department Level Optional Course 4
- CSDO7021: User Experience Design with VR
 - CSDO7022: Blockchain Technologies
 - CSDO7023: Game Theory for Data Science
 
ILO 701X Institute Level Optional Course-1
- ILO7011: Product Lifecycle Management
 - ILO7012: Reliability Engineering
 - ILO7013.: Management Information System
 - ILO7014: Design of Experiments
 - ILO7015: Operation Research
 - ILO7016: Cyber Security and Laws
 - ILO7017: Disaster Management & Mitigation Measures
 - ILO7018: Energy Audit and Management
 - ILO7019: Development Engineering
 - CSL701Deep Leaning Lab
 - CSL702 Big Data Analytics Lab
 
CSDOL 701X Department Level Optional Course-3 Lab
- CSDOL7011: Natural Language Processing Lab
 - CSDOL7012.: AI for Healthcare Lab
 - CSDOL7013: Neural Network & Fuzzy System
 
CSDOL 702X Department Level Optional Course-4 Lab
- CSDOL7021: User Experience Design with VR Lab
 - CSDOL7022: Blockchain Technologies
 - CSDOL7023: Game Theory for Data Science
 - CSP701 Major Project1
 
SEMESTER VIII
- CSC801 Advanced Artificial Intelligence
 
CSDO 801X Department Level Optional Course-5
- CSDO8011: AI for financial & Banking application
 - CSDO8012: Quantum Computing
 - CSDO8013: Reinforcement Learning
 
CSDO 802X Department Level OptionalCourse-6
- CSDO8021: Graph Data Science
 - CSDO8022: Recommendation Systems
 - CSDO8023: social media Analytic
 
ILO 801X Institute Level OptionalCourse-2
- ILO8021: Project Management
 - ILO8022: Finance Management
 - ILO8023: Entrepreneurship Development and Management
 - ILO8024: Human Resource Management
 - ILO8025: Professional Ethics and CSR
 - ILO8026: Research Methodology
 - ILO8027: IPR and Patenting
 - ILO8028: Digital Business Management
 - ILO8029: Environmental Management
 - CSL801 Advanced Artificial Intelligence Lab
 
CSDOL 801X Department Level Optional Course-5 Lab
- CSDOL8011: AI for financial & Banking application Lab
 - CSDOL8012: Quantum Computing Lab
 - CSDOL8013: Reinforcement Learning Lab
 
CSDOL 802X Department Level Optional Course-6 Lab
- CSDOL8021: Graph Data Science Lab
 - CSDOL8022: Recommendation Systems Lab
 - CSDOL8023: social media Analytic Lab
 - CSP801 Major Project-2
 
