Strong foundation in programming, data structures, and algorithms
B.Tech Computer Science & Engineering(Artificial Intelligence & Data Science)
Build expertise in artificial intelligence, data science, and intelligent systems through a future-focused curriculum designed to solve real-world problems using data-driven technologies.
Programme Overview
The Artificial Intelligence & Data Science programme at PCU equips students with the knowledge and skills required to build intelligent systems and extract meaningful insights from data.
The curriculum blends computer science fundamentals with AI techniques, machine learning algorithms, and data analytics tools. Students gain hands-on experience in solving real-world problems using data-driven approaches.
This programme prepares graduates for high-demand roles in AI, data science, analytics, and emerging digital technologies.
Strong foundation in programming, data structures, and algorithms
Specialized courses in Artificial Intelligence & Data Science
Hands-on learning through projects, labs, and internships
Exposure to real-world problem solving using data
Focus on emerging technologies like Deep Learning, NLP, and Computer Vision
Opportunities for research, innovation, and industry collaboration
Specialized courses in Artificial Intelligence & Data Science
Hands-on learning through projects, labs, and internships
Exposure to real-world problem solving using data
Focus on emerging technologies like Deep Learning, NLP, and Computer Vision
Opportunities for research, innovation, and industry collaboration
Specializations Offered
Students can explore advanced domains within AI & Data Science to match industry trends and career goals.
Build focused expertise through practical, industry-aligned learning:
Machine Learning & Deep Learning
Focus on supervised and unsupervised learning, neural networks, and deep learning models.
Data Science & Analytics
Learn data processing, visualization, predictive modelling, and big data tools.
Artificial Intelligence Applications
Explore AI applications in healthcare, finance, robotics, and automation.
Each specialization connects core computing knowledge with real-world AI and data-driven applications.
Why Choose AI & DS?
Ideal for students interested in AI, data science, and automation
Built for learners who enjoy problem-solving and logical thinking
Pathways into future technologies and innovation-driven industries
Enhance employability with job-ready AI and Data Science skills
Curriculum & Learning Experience
The curriculum is designed to build strong foundations and progressively develop expertise in artificial intelligence and data science through practical learning.
Year 1 – Foundations
Programming, Engineering Mathematics, Digital Logic, Basics of Computing.
Year 2 – Core Computing
Data Structures, Database Management Systems, Statistics for Data Science.
Year 3 – Advanced AI & DS
Machine Learning, Data Mining, Big Data Analytics, Artificial Intelligence.
Year 4 – Industry Integration
Deep Learning, Capstone Projects, Internships.
Course Code
UBTFY101
Course Name
Linear Algebra & Differential Calculus
Course Code
UBTFY103I/UBTFY104I
Course Name
Engineering Physics / Engineering Chemistry
Course Code
UBTFY104I/UBTFY106I
Course Name
Basic Electronics Engineering / Basic Electrical Engineering
Course Code
UBTFY107I/UBTFY113I
Course Name
Engineering Graphics & Design / Web Programming
Course Code
UBTFY114
Course Name
Procedural Programming
Course Code
UBTFY110I/UBTFY115I
Course Name
IT Workshop / Fab Workshop
Course Code
UEG101
Course Name
Applied Communication
Course Code
ACUHV101I/ACIKSET101I
Course Name
UHV-1: Professional Ethics / IKS: Indian Science, Engineering & Technology
Course Code
UBTFY101
Course Name
Linear Algebra & Differential Calculus
Course Code
UBTFY103I/UBTFY104I
Course Name
Engineering Physics / Engineering Chemistry
Course Code
UBTFY104I/UBTFY106I
Course Name
Basic Electronics Engineering / Basic Electrical Engineering
Course Code
UBTFY107I/UBTFY113I
Course Name
Engineering Graphics & Design / Web Programming
Course Code
UBTFY114
Course Name
Procedural Programming
Course Code
UBTFY110I/UBTFY115I
Course Name
IT Workshop / Fab Workshop
Course Code
UEG101
Course Name
Applied Communication
Course Code
ACUHV101I/ACIKSET101I
Course Name
UHV-1: Professional Ethics / IKS: Indian Science, Engineering & Technology
What You Will Learn
Throughout the programme, students will:
Build intelligent systems using neural networks, robotics, and natural language processing.
Learning Experience
Artificial Intelligence & Machine Learning Lab
Data Science & Analytics Lab
Big Data & Cloud Computing Lab
Innovation & Research Lab
Industry Exposure & Certifications
PCU integrates industry-recognized certifications and real-world projects into the curriculum to help students develop job-ready skills.
Certification opportunities may include training programmes from platforms such as Red Hat and Coursera.
Students also benefit from internships, industry workshops, and expert sessions conducted by professionals.
Why This Matters
Certification programmes from platforms like Red Hat and Coursera
Courses in AI, Machine Learning, Cloud Computing, and Data Science
Industry-aligned training modules integrated into the curriculum
Opportunities to gain hands-on experience with real-world tools
Internships, industry workshops, and expert sessions by professionals
Apply Now and gain the skills, experience, and certifications that employers value.
Why This Matters
Enhanced employability and industry readiness
Practical exposure beyond classroom learning
Strong professional network and mentorship opportunities
Better understanding of real-world applications of AI & DS
Globally recognized certifications to boost career prospects
Career Opportunities
Graduates of AI & Data Science are highly sought after in industries driven by data and automation.
Potential Career Opportunities
Graduates of this programme may pursue roles such as:
- Artificial Intelligence Engineer
- Data Scientist
- Machine Learning Engineer
- Data Analyst
- Business Intelligence Developer
- Cloud & AI Engineer
Additionally, students can opt for higher education or specialized certifications to further enhance their expertise and career prospects.
Meet the Faculty
Faculty members bring expertise in artificial intelligence, data science, machine learning, and research-driven innovation.
- Artificial Intelligence & Data Science
- Machine Learning
- Data Analytics
- Research-driven Innovation
With a passionate team of faculty, modern infrastructure, and partnerships with industry, our department cultivates an engaging educational environment that combines academic rigor with practical experience.
At PCU, we prioritize hands-on learning, research-based teaching, and interdisciplinary projects that enable students to innovate and address real-world issues.
View Faculty Profiles
AI & Data Science Labs & Facilities
Students gain hands-on experience through advanced computing labs and AI-driven research environments. The programme provides dedicated facilities for artificial intelligence, machine learning, data science, analytics, big data, cloud computing, innovation, and research.
Artificial Intelligence & Machine Learning Lab
Data Science & Analytics Lab
Big Data & Cloud Computing Lab
Innovation & Research Lab
Explore Campus Facilities
Admissions & Eligibility
Students interested in AI & Data Science must meet academic criteria and complete the admission process through the PCU portal.
Applicants must fulfill the following requirements:
Completion of 10+2 with Physics and Mathematics
Frequently Asked Questions
Find answers to common queries related to the AI & Data Science programme.
It is a specialized branch of Computer Science focusing on building intelligent systems and extracting insights from massive data, rather than just general software development.
Start Your AI & Data Science Journey at PCU
Join a future-ready programme designed to build experts in artificial intelligence and data-driven technologies.