B.Sc. CS Artificial Intelligence & Data Science

Dive into data. Build smart systems. Shape the future.

PROGRAM DETAILS

This programme blends computer science fundamentals with applied AI and data science. Students learn programming, problem-solving, data handling, analytics and the basics of intelligent systems in a structured way.

It is suited to learners who want a modern tech degree with project-driven learning and strong relevance to current and emerging digital careers.

DURATION:3 YearsELIGIBILITY:Higher Secondary / equivalent as per institute admission norms.

WHY THIS COURSE STANDS OUT

  1. Blends strong CS fundamentals with applied AI and data-science skills.
  2. Includes hands-on labs, coding practice, data projects and analytical problemsolving.
  3. Prepares students for high-demand roles in AI, analytics, software and research.
  4. Reflects modern technology trends in curriculum direction.
  5. Useful for students who want advanced tech education without leaving the region.

What You'll Learn

Core Skills & Knowledge

Computer Science Foundations

  • Programming and problem-solving
  • Data structures and algorithms
  • Databases and system fundamentals
  • Mathematics and logic for computing

Artificial Intelligence & Machine Learning Basics

  • Machine-learning concepts
  • Predictive modelling
  • Algorithmic thinking
  • Intelligent-system applications

Data Science & Analytics

  • Data collection and cleaning
  • Data visualization and interpretation
  • Statistics and probability
  • Working with datasets for projects

Critical Thinking, Ethics & Industry Learning

  • Analytical problem-solving
  • Responsible AI awareness
  • Project-based assignments
  • Modern tools and collaboration

GLOBAL TECHNOLOGY EXPOSURE

Global Fashion Exposure

Understand why data and AI now shape products, services & decision-making across industries

Build a foundation suited to software, analytics, research and machine-learning pathways

Develop the mindset needed for responsible and meaningful work with intelligent systems

Technology industry understanding

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Data workflow from collection to insight

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AI and ML use cases in modern systems

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Project collaboration and tool usage

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Ethics & responsibility in intelligent technologies

Entrepreneurial Skill Development

Training includes:

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Data-driven product thinking

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Automation and service opportunities

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Tech problem solving for real needs

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Cross-domain application mindset

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Communication of insights and solutions

Value Added Courses (VAC)

Extra Skills for Industry Success

Advanced Python Programming
Builds stronger coding fluency for automation, AI and data handling

AI in Digital Marketing
Shows how data and AI reshap customer insights, prediction and content generation

Industrial Awareness Program
Introduces students to industry use of software, AI and data systems.

Foundational Technology Overview
Builds clarity around tools, platforms and digital-system ecosystems.

These additions create stronger industry context before students move deeper into advanced applications

PROJECT-CENTRIC TRAINING

Students build applied evidence of learning through coding, datasets, models and problem-solving outputs.

Python notebooks
Dataset cleaning tasks
Visualization dashboards
Mini ML models
AI / analytics projects
Ethics and research reflections

Who Should Join This Course?

This course is perfect for you if:

Love coding, maths, logic and
complex problem-solving

Are excited by AI, machine learning,
data analysis and emerging technology

Want a future-proof
career path

Prefer hands-on labs,
projects and practical learning

Want to explore
both software development and data roles

Why NIFT-TEA?

  • Dedicated Computer Science department and structured programmes
  • Strong IT infrastructure and technology-enabled classrooms
  • Updated curriculum aligned with modern computing needs
  • A good option for students who want serious tech education locally
  • Supportive and student-friendly academic environment

Career Prospects:
Where This Course Can Take You

AI & Data Careers

  • AI Specialist
  • Data Scientist / Analyst
  • Machine Learning Engineer
  • Data Engineer

Software & Development Careers

  • Software Developer
  • Backend / full-stack support
  • Web / app developer
  • Database Administrator

Research & Emerging Tech Careers

  • Research Assistant
  • Algorithm developer support
  • Data research analyst
  • Applied analytics roles

Entrepreneurial Paths

  • Automation tools
  • Tech services
  • Digital products
  • Data-led solutions

INDUSTRY CONNECT

The programme combines labs, projects, foundational certifications and tool exposure so students understand how data and AI function in real-world systems

Ready to Shape Stories Through Costume & Fashion?

Visit our campus, explore the design labs, meet the faculty and take the first step toward turning costume ideas, styling sense and fashion creativity into a career-ready portfolio.

VOICES OF NIFT-TEA

Year CDF 2023-26

This course makes AI feel less mysterious. We are learning the coding, data and logic behind how smart systems actually work

Name

Year CDF 2023-26

I like that the programme is not only hype. It also builds the base in CS, maths and practical data work.

Name

Entrepreneur Company Name

The foundation in data handling and structured thinking gave me a real advantage when I moved into analytics work.

Name

Entrepreneur Company Name

What helped most was the balance of fundamentals, projects and modern relevance. It gave me confidence to keep growing in AI-linked roles.

Frequently Asked Questions

1. Do I need prior AI knowledge before joining?

No. The programme starts with core computing foundations and builds toward AI and data-science concepts.

2. Is this course only about theory?

No. It includes labs, coding practice, data projects and applied problem-solving.

3.Will I learn Python here?

Yes. Python is strengthened further through the value-added component as well.

4. Can this degree lead to software roles too?

Yes. The programme supports both software-development and data / AI pathways.

5. Is ethics covered in the programme?

Yes. The course includes awareness of social, ethical and environmental impact related to AI systems

6. Does the course include industry context?

Yes. It includes foundational technology overview and industrial awareness support.