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UGC Recognized Programme
Bachelor of Science in Artificial Intelligence & Data Science
Shape the Future with AI, Machine Learning & Data Analytics
3 Years Duration
6 Semesters
Full-Time Programme
NAAC
Accredited Institution
Quality assured education
GPU
High-Performance Labs
NVIDIA RTX workstations
95%
Placement Record
AI/ML career opportunities
₹5L
Average Package
Competitive starting salary
About the Programme
Programme Overview
The Bachelor of Science in Artificial Intelligence and Data Science is a cutting-edge three-year undergraduate programme designed to prepare Learners for the rapidly evolving AI and data-driven industry. This UGC-recognized programme combines rigorous theoretical foundations with extensive hands-on training in machine learning, deep learning, natural language processing, computer vision, big data analytics, and cloud computing technologies.
Our industry-aligned curriculum emphasizes practical skill development through GPU-accelerated computing labs, real-world projects, and capstone implementations. Learners master Python, R, Java programming languages along with AI/ML frameworks like TensorFlow, PyTorch, and cloud platforms (AWS, Azure, GCP). Graduates emerge as industry-ready professionals capable of designing intelligent systems, building predictive models, and solving complex data challenges across healthcare, finance, e-commerce, and autonomous technologies.
Specialized AI/ML Curriculum
GPU Computing Labs
Industry Capstone Projects
Cloud Platform Training
Since 1952Admissions
Eligibility & Admission Criteria
Requirements for joining the B.Sc AI & Data Science programme
Academic Qualification
- •Higher Secondary (10+2) from recognized board
- •Mathematics as a compulsory subject
- •Minimum 50% aggregate marks
- •45% for reserved categories
Accepted Streams
- •Science stream (PCM) preferred
- •Computer Science background advantageous
- •Commerce with Mathematics
- •Strong mathematical aptitude required
Documents Required
- •10th & 12th Mark Sheets
- •Transfer Certificate
- •Community Certificate
- •Passport Size Photographs
- •Aadhaar Card Copy
- •Income Certificate
Curriculum
Programme Curriculum
Comprehensive AI & Data Science syllabus covering foundational to advanced topics
Semester I
- •General Tamil - I (24UGTA01)
- •General English - I (24UGEN01)
- •Core – I - Data Structures (24UADC01)
- •Core Practical - I – Computer Programming Lab (24UADCP01)
- •Generic Elective – I: Discrete Mathematics-I / Introduction to Linear Algebra / Optimization Techniques / Numerical Methods-I (24UMAGE3 / 24UMAGE5 / 24UMAGE7 / 24UMAGE9)
- •NME – I – Fundamentals of Information Technology (24UCSNM1)
- •SEC-I - Fundamentals of Computer Programming (24UADS01)
Semester II
- •General Tamil – II (24UGTA02)
- •General English – II (24UGEN02)
- •Core – II - Introduction on Python (24UADC02)
- •Core Practical – II - Python Programming Lab (24UADCP02)
- •Generic Elective – II: Discrete Mathematics-II / Numerical Methods / Graph Theory and its Applications / Numerical Methods-II (24UMAGE4 / 24UMAGE6 / 24UMAGE8 / 24UMAGE10)
- •Generic Elective - Practical - I: Discrete Mathematics / Introduction to Linear Algebra / Optimization Techniques / Graph Theory and its Applications / Numerical Methods (24UMAGEP02 / 24UMAGEP03 / 24UMAGEP04 / 24UMAGEP05 / 24UMAGEP06)
- •NME - II - Advanced Excel (24UCSNM2)
- •SEC- II - Introduction to HTML (24UCSS02)
Outcomes
Programme Learning Outcomes
Skills and competencies you will develop through this programme
Programming Mastery
Achieve proficiency in Python, R, Java, and SQL with expertise in data structures, algorithms, and object-oriented programming principles for scalable AI solutions.
Machine Learning Expertise
Design, implement, and optimize machine learning models using supervised, unsupervised, and reinforcement learning techniques with industry-standard frameworks like TensorFlow and PyTorch.
Deep Learning & Neural Networks
Build and train neural networks including CNNs, RNNs, Transformers, and GANs for computer vision, NLP, and generative AI applications with real-world deployment.
Data Analytics Proficiency
Extract actionable insights from complex datasets using statistical analysis, data visualization tools like Tableau and Power BI, and data storytelling techniques.
Cloud & Big Data Technologies
Deploy and manage AI/ML solutions on cloud platforms (AWS, Azure, GCP) and process large-scale data using Hadoop, Spark, and distributed computing frameworks.
Industry-Ready AI Skills
Work effectively in agile teams, communicate technical concepts to stakeholders, and deliver production-ready AI solutions following MLOps best practices and industry standards.
Careers
Career Opportunities
High-demand career pathways await B.Sc AI & Data Science graduates
Data Scientist
Analyze complex data and build predictive models at tech giants
Machine Learning Engineer
Design and deploy machine learning systems at scale
AI Developer
Build intelligent applications using cutting-edge AI technologies
Data Analyst
Transform business data into actionable insights and strategies
NLP Engineer
Develop language models, chatbots, and text analytics applications
Computer Vision Engineer
Build image recognition and video analytics systems
AI Research Scientist
Advance AI research at labs and academic institutions
Key Employment Sectors
IT Services & ConsultingFinTech & BankingHealthcare AIE-Commerce PlatformsStartups & Innovation LabsManufacturing AutomationMedia & EntertainmentGovernment & PSUsConsulting FirmsResearch OrganizationsEdTech CompaniesAutonomous Vehicles
Infrastructure
Department Facilities
State-of-the-art infrastructure supporting cutting-edge AI education
AI & ML Computing Lab
Equipped with GPU workstations featuring NVIDIA RTX GPUs, high-RAM systems, and cloud computing access for training deep learning models and neural networks.
Data Analytics Center
Modern workstations with Tableau, Power BI, Apache Spark, and big data tools for real-time analytics, visualization projects, and business intelligence applications.
Cloud Computing Lab
Access to AWS, Microsoft Azure, and Google Cloud Platform with credits for Learners to deploy and manage AI/ML applications in production cloud environments.
Innovation & Research Hub
Collaborative workspace for AI research projects, hackathons, and industry-sponsored challenges with mentorship from experts and research publication opportunities.
IoT & Robotics Lab
Hands-on laboratory with sensors, microcontrollers, drones, and robotic kits for developing AI-powered IoT solutions and autonomous systems with practical integration.
Digital Library & Resources
Access to IEEE, ACM digital libraries, online courses (Coursera, edX), research papers, AI/ML documentation, and subscription to leading technical journals.
Why Us
Why Choose Our B.Sc AI & Data Science Programme?
Our specialized programme focuses 70% on AI/ML technologies, providing industry-ready skills and hands-on experience with cutting-edge tools and frameworks.
Specialized AI/ML Curriculum
70% focus on AI, machine learning, deep learning, and data science technologies with industry-aligned projects and practical implementations.
GPU-Accelerated Computing Labs
High-performance NVIDIA RTX GPU workstations for training deep neural networks, computer vision, and generative AI model development.
Cloud Platform Integration
Hands-on training and credits for AWS, Azure, and Google Cloud Platform with real-world cloud deployment and MLOps implementation.
Industry Partnerships & Placements
Tie-ups with 100+ companies including tech giants, AI startups, and research labs ensuring excellent placement opportunities with premium packages.
Capstone Projects & Research
Industry-sponsored capstone projects, research paper publications, hackathons, and AI competitions for portfolio building and practical experience.
Faculty
Our Learning Facilitators
Meet our experienced AI & Data Science department team
Mrs.S.Priyanga
Head of Department
M.C.A., M.Phil.,
Ms.K.Epshiba
Assistant Professor
M.Sc.
Dr.A.Kamalaveni
Assistant Professor
MCA., MEd., NET., SET., M.Phil., PhD., M.Sc.,NET.,
Ms.P.Subashini
Assistant Professor
MCA
Mrs.S.Priyanga
Head of Department
M.C.A., M.Phil.,
Ms.K.Epshiba
Assistant Professor
M.Sc.
Dr.A.Kamalaveni
Assistant Professor
MCA., MEd., NET., SET., M.Phil., PhD., M.Sc.,NET.,
Ms.P.Subashini
Assistant Professor
MCA
Mrs.S.Priyanga
Head of Department
M.C.A., M.Phil.,
Ms.K.Epshiba
Assistant Professor
M.Sc.
Dr.A.Kamalaveni
Assistant Professor
MCA., MEd., NET., SET., M.Phil., PhD., M.Sc.,NET.,
Ms.P.Subashini
Assistant Professor
MCA
Mrs.S.Priyanga
Head of Department
M.C.A., M.Phil.,
Ms.K.Epshiba
Assistant Professor
M.Sc.
Dr.A.Kamalaveni
Assistant Professor
MCA., MEd., NET., SET., M.Phil., PhD., M.Sc.,NET.,
Ms.P.Subashini
Assistant Professor
MCA
FAQ
Frequently Asked Questions
Find answers to common queries about the B.Sc AI & Data Science programme
The B.Sc Artificial Intelligence and Data Science programme is a 3-year full-time undergraduate degree comprising six semesters. Each year includes two semesters with a combination of core AI/ML subjects, programming labs, practical projects, and skill-based electives. The final semester includes an industry capstone project for real-world implementation experience.
After completing B.Sc AI & Data Science, Learners can pursue M.Sc in Data Science, M.Tech in AI/ML, MCA, M.Sc in Computer Science, or specialized programmes in Machine Learning and Deep Learning. Additional options include MBA in Business Analytics, integrated Ph.D programmes in Computer Science, or professional courses in cloud computing and cybersecurity. Many Learners also pursue international masters programmes at top universities.
No prior coding experience is required. The programme starts with foundational programming courses in Python, teaching Learners from scratch. However, having studied Computer Science in 12th grade or having basic programming knowledge can be beneficial. The curriculum is designed to take Learners from beginner to advanced level in programming and AI/ML concepts through structured learning.
Entry-level positions for B.Sc AI & Data Science graduates typically offer packages ranging from ₹4 to ₹8 lakhs per annum depending on skills and company. Positions at top tech companies, product startups, and data science roles often offer ₹6-12 lakhs for freshers. With experience and specialization, salaries can increase significantly, with senior AI/ML roles commanding ₹15-40 lakhs per annum. Graduates with strong portfolios and certifications often receive premium offers.
The programme covers Python (primary language), R for statistical computing, Java for enterprise applications, and SQL for databases. You'll learn AI/ML frameworks including TensorFlow, PyTorch, Scikit-learn, Keras, and OpenCV. Big data tools like Apache Spark, Hadoop, and visualization tools like Tableau and Power BI are also covered. Cloud platforms (AWS, Azure, GCP) and version control (Git) are integral parts of the curriculum.
Yes, the programme includes mandatory internship components where Learners work with IT companies, startups, and research organizations. Our dedicated placement cell has tie-ups with 100+ companies including TCS, Infosys, Wipro, Cognizant, Accenture, Tech Mahindra, HCL, and numerous AI startups. We also facilitate participation in campus recruitment drives, hackathons, and industry networking events to maximize placement opportunities.
While B.Sc Computer Science provides broad computing knowledge, B.Sc AI & Data Science is specifically designed for the AI and data science domain. Our curriculum has 70% focus on AI/ML, deep learning, data analytics, and related technologies. You'll work extensively with neural networks, NLP, computer vision, and big data tools that are not typically covered in depth in general CS programmes. The programme prepares you specifically for the booming AI industry with specialized skills and projects.
Enroll Now
Begin Your Journey in AI & Data Science
Join our B.Sc AI & Data Science programme and become part of the AI revolution transforming industries worldwide.