BSc in Data Science, AI & ML
description
curriculum
About this course
Bachelor of Science in Data Science, Artificial Intelligence & Machine Learning (BSc DS, AI & ML) is a three-year undergraduate degree program designed for students aspiring to build a strong foundation in emerging technologies. This course focuses on developing skills in data analysis, statistical modeling, AI algorithms, and machine learning techniques. BSc DS, AI & ML is an ideal choice for students aiming to pursue careers in data-driven industries and cutting-edge technological domains.
Semester 1
20 Credits
| Subject | Category | Credits | Int Marks | Ext Marks | Total Marks |
|---|---|---|---|---|---|
| C Programming | Core | 3 | 40 | 60 | 100 |
| Mathematics | Core | 4 | 40 | 60 | 100 |
| Computer & Network Fundamentals | Interdisciplinary | 3 | 40 | 60 | 100 |
| Operating System | DSC | 3 | 40 | 60 | 100 |
| English | AECC | 2 | 20 | 30 | 50 |
| Gender Perspectives | Open Elective | 2 | 20 | 30 | 50 |
| Advanced Excel | DSC | 2 | 20 | 30 | 50 |
| C Programming (PR) | Core-LAB | 1 | 20 | 30 | 50 |
Semester 2
20 Credits
| Subject | Category | Credits | Int Marks | Ext Marks | Total Marks |
|---|---|---|---|---|---|
| Python Programming | Core | 3 | 40 | 60 | 100 |
| Statistics | Core | 4 | 40 | 60 | 100 |
| Structured System Analysis and Design | DSC | 3 | 40 | 60 | 100 |
| Data Mining | Core | 3 | 40 | 60 | 100 |
| Communication Skills | AECC | 2 | 20 | 30 | 50 |
| Moral Values | Open Elective | 2 | 20 | 30 | 50 |
| Indian Knowledge System (IKS) | IKS | 2 | 20 | 30 | 50 |
| Python Programming(PR) | Core-Lab | 1 | 20 | 30 | 50 |
Semester 3
20 Credits
| Subject | Category | Credits | Int Marks | Ext Marks | Total Marks |
|---|---|---|---|---|---|
| Advanced Web Designing | Core | 3 | 40 | 60 | 100 |
| Database Management System (DBMS) | Core | 3 | 40 | 60 | 100 |
| Environmental Studies | Value Added Course | 4 | 40 | 60 | 100 |
| Exploratory Data Analysis | DSC | 2 | 20 | 30 | 50 |
| Marathi | AECC | 2 | 20 | 30 | 50 |
| Machine Learning Foundation | Skill Enhancement Course | 2 | 20 | 30 | 50 |
| Data Visualisation | DSC | 2 | 20 | 30 | 50 |
| Advanced Web Designing (PR) | Core-Lab | 1 | 20 | 30 | 50 |
| Data Visualisation (PR) | Core-Lab | 1 | 20 | 30 | 50 |
Semester 4
20 Credits
| Subject | Category | Credits | Int Marks | Ext Marks | Total Marks |
|---|---|---|---|---|---|
| Advanced Database Management System | Core | 3 | 40 | 60 | 100 |
| Java Programming | Core | 3 | 40 | 60 | 100 |
| Power Bi | DSC | 3 | 40 | 60 | 100 |
| Unified Modeling Language (UML) | DSC | 3 | 40 | 60 | 100 |
| Soft Skills | Open Elective | 2 | 50 | - | 50 |
| Bigdata Technologies | Value Added Course | 3 | 40 | 60 | 100 |
| Java Programming (PR) | Core-LAB | 1 | 20 | 30 | 50 |
| Advanced Database Management System (PR) | Core-LAB | 1 | 20 | 30 | 50 |
| Power Bi (PR) | Core-LAB | 1 | 20 | 30 | 50 |
Semester 5
20 Credits
| Subject | Category | Credits | Int Marks | Ext Marks | Total Marks |
|---|---|---|---|---|---|
| Machine Learning - I | Core | 3 | 40 | 60 | 100 |
| NLP | Core | 3 | 40 | 60 | 100 |
| IoT | DSC | 3 | 40 | 60 | 100 |
| Introduction to Artificial Intelligence | DSC | 3 | 40 | 60 | 100 |
| Business Communication | Interdisciplinary | 3 | 40 | 60 | 100 |
| Business Forcasting OR Digital Marketing with Data Analytics | Multidisciplinary | 3 | 40 | 60 | 100 |
| Machine Learning - I (PR) | Core-LAB | 1 | 20 | 30 | 50 |
| NLP (PR) | Core-LAB | 1 | 20 | 30 | 50 |
Semester 6
20 Credits
| Subject | Category | Credits | Int Marks | Ext Marks | Total Marks |
|---|---|---|---|---|---|
| Machine Learning - II | Core | 3 | 40 | 60 | 100 |
| Deep Learning | Core | 3 | 40 | 60 | 100 |
| Cloud Technology & Security | DSC | 2 | 20 | 30 | 50 |
| Project | Core | 6 | 40 | 60 | 100 |
| Internship | Internship | 4 | 100 | - | 100 |
| Machine Learning - II (PR) | DSC-LAB | 1 | 20 | 30 | 50 |
| Deep Learning (PR) | DSC-LAB | 1 | 20 | 30 | 50 |