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
Apply NowView Curriculum
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
AI & Data Science LaboratorySince 1952
Admissions

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

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

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

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

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

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

Digital Library & Resources

Access to IEEE, ACM digital libraries, online courses (Coursera, edX), research papers, AI/ML documentation, and subscription to leading technical journals.

Campus Life at JKKN
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

Mrs.S.Priyanga

Head of Department

M.C.A., M.Phil.,

Ms.K.Epshiba

Ms.K.Epshiba

Assistant Professor

M.Sc.

Dr.A.Kamalaveni

Dr.A.Kamalaveni

Assistant Professor

MCA., MEd., NET., SET., M.Phil., PhD., M.Sc.,NET.,

Ms.P.Subashini

Ms.P.Subashini

Assistant Professor

MCA

Mrs.S.Priyanga

Mrs.S.Priyanga

Head of Department

M.C.A., M.Phil.,

Ms.K.Epshiba

Ms.K.Epshiba

Assistant Professor

M.Sc.

Dr.A.Kamalaveni

Dr.A.Kamalaveni

Assistant Professor

MCA., MEd., NET., SET., M.Phil., PhD., M.Sc.,NET.,

Ms.P.Subashini

Ms.P.Subashini

Assistant Professor

MCA

Mrs.S.Priyanga

Mrs.S.Priyanga

Head of Department

M.C.A., M.Phil.,

Ms.K.Epshiba

Ms.K.Epshiba

Assistant Professor

M.Sc.

Dr.A.Kamalaveni

Dr.A.Kamalaveni

Assistant Professor

MCA., MEd., NET., SET., M.Phil., PhD., M.Sc.,NET.,

Ms.P.Subashini

Ms.P.Subashini

Assistant Professor

MCA

Mrs.S.Priyanga

Mrs.S.Priyanga

Head of Department

M.C.A., M.Phil.,

Ms.K.Epshiba

Ms.K.Epshiba

Assistant Professor

M.Sc.

Dr.A.Kamalaveni

Dr.A.Kamalaveni

Assistant Professor

MCA., MEd., NET., SET., M.Phil., PhD., M.Sc.,NET.,

Ms.P.Subashini

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.

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