B.Sc. CSE (Artificial Intelligence
& Data Science)
This Course Structure is Curated as per the NEP-2020 Guidelines
Course Overview
The B.Sc. Computer Science and Engineering (Artificial Intelligence & Data Science) is an industry-oriented undergraduate program designed to build future-ready professionals with a dual focus on artificial intelligence and data-driven computing. This program equips students with the core principles of computer science, while emphasizing AI models, big data analysis, predictive modelling, and decision intelligence.
This program focuses on equipping students with the theoretical knowledge and hands-on skills from 1st semester itself.Starting from the first semester, students engage with foundational programming and mathematics before progressing into data mining, machine learning, deep learning, and statistical modeling. The curriculum also provides hands-on training using industry-standard tools such as Python, R, TensorFlow, Tableau, and cloud-based analytics platforms.
Graduates emerge as data-savvy AI engineers capable of solving complex real-world problems in domains like healthcare, finance, smart cities, cybersecurity, and e-commerce, with readiness for both employment and higher academic pursuitswith plenty of job opportunities globally.
Course Details
Description: 4 Years Degree Program
No. of Seats: 40
No. of Credits: 160 minimum & as specified
10+2 or equivalent with a minimum of 50% aggregate in Physics, Chemistry, and Mathematics from a recognized board (CBSE/ISC/State Board).
Semester | Name of the Subject |
Semester 1 | Fundamentals of Programming (Python), Linear Algebra, Digital Fundamentals, Introduction to AI & DS, Communication Skills, Lab Work |
Semester 2 | Data Structures, Database Management Systems, Calculus & Discrete Mathematics, Data Collection & Cleaning, Environmental Studies, Lab Work |
Semester 3 | Operating Systems, Probability & Statistics, Data Warehousing & Mining, Machine Learning – I, Mini Project |
Semester 4 | Deep Learning & Neural Networks, Data Visualization, Big Data Analytics, Natural Language Processing, Project-Centric Learning |
Semester 5 | Cloud-Based Data Processing, Reinforcement Learning, Ethical AI & Data Privacy, Elective-I (e.g., AI in Healthcare), Research Methodology |
Semester 6 | Time Series & Forecasting, Data Engineering Tools (Hadoop, Spark), Elective-II (e.g., AI in Finance), Industry Certification Workshop |
Semester 7 | Internship / Industry Project, Capstone Project Phase-I, Seminar on Emerging Data Trends |
Semester 8 | Capstone Project Phase-II, Start-up Lab, Advanced Topics in AI & DS, Thesis / Research Report Submission |
- Strong Technical Foundation: Core skills in software development, data management, and algorithmic thinking.
- Data-Centric Mindset: Expertise in handling structured and unstructured data for real-time analysis and decision-making.
- AI Applications: Ability to build and deploy AI models for classification, prediction, optimization, and personalization.
- Industry Readiness: Proficiency in tools such as Python, R, SQL, Spark, Hadoop, Power BI, and cloud-based AI/DS platforms.
- Analytical Thinking: Strong statistical and mathematical reasoning for interpreting data-driven insights.
- Responsible Data Use: Awareness of ethics, bias, and data security in AI and analytics environments.
- Certification in Data Analytics with R/Python
- Google Cloud Data Engineering Program
- Advanced Excel & Power BI for Decision Making
- AI-Powered Business Intelligence Bootcamp
- Ethics in AI and Data Governance Course
- AI & Data Startups Incubation Support
- M.Sc. in Data Science / AI & Analytics
- M.Tech. in Machine Learning or Business Intelligence
- Postgraduate Diploma in Data Engineering or Business Analytics
- MBA in Data-Driven Decision Making
- Ph.D. in AI, Data Science, or Intelligent Systems
Duration | Roles and Responsibilities | Salary Range |
0-3 years | Data Analyst, Junior AI Developer, Business Intelligence Engineer | ₹4,50,000 – ₹7,50,000 per annum |
3-5 years | Machine Learning Engineer, Data Scientist, Cloud Data Analyst | ₹7,50,000 – ₹12,00,000 per annum |
5-10 years | Lead Data Scientist, AI & Data Architect, Analytics Manager | ₹12,00,000 – ₹18,00,000 per annum |
10+ years | Director – Data Strategy, Head of AI Innovation, CTO – Data & AI | ₹18,00,000+ per annum |
Fee Structure Per Academic Year - 2025
| Tuition Fee | Miscellaneous Fee | Scholarship | |||
| 150000 ₹ | 10000 ₹ | Above 95% – 150000 ₹ | Above 91% – 75000 ₹ | Between 81-90% – 15000 ₹ | Between 71-80% – 7500₹ |
| Tuition Fee | Miscellaneous Fee | Scholarship | ||
| 150000 ₹ | 10000 ₹ | Above 90% – 30000 ₹ | Between 80-90% – 15000 ₹ | Between 70-80% – 7500 ₹ |
