Software Skills is designing Intelligent Solutions for a Smarter Tomorrow and build a new generation of innovators, researchers, and technology leaders.

The Department of Artificial Intelligence & Data Science at Software Skills is committed to preparing the next generation of innovators, researchers, and technology leaders through quality education, practical learning, and research-driven innovation.

Our undergraduate program integrates the core foundations of Computer Science, Mathematics, and Data Science with advanced areas such as Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, Intelligent Systems, and Data Analytics. Through Outcome-Based Education (OBE), modern laboratory facilities, experienced faculty members, industry-oriented projects, and internship opportunities, students develop the knowledge, technical expertise, and practical skills required to address real-world challenges and succeed in the rapidly evolving digital economy.

Vision

Vision

To be a leading center of excellence in Artificial Intelligence and Data Science education, research, and innovation, producing globally competent graduates who develop intelligent technologies for the benefit of society and sustainable development.

Mission

Mission

The Department of Artificial Intelligence & Data Science is committed to:

• Deliver quality outcome-based education through a modern and industry-oriented curriculum. 
• Foster research, innovation, and interdisciplinary collaboration in emerging AI technologies. 
• Develop ethical, skilled, and future-ready graduates equipped with leadership, critical thinking, and lifelong learning capabilities. 
• Strengthen partnerships with industry and academia to enhance education, research, and innovation. 
• Contribute to national and global technological advancement through responsible Artificial Intelligence. 

Quality Policy

Why Choose the Department of Artificial Intelligence & Data Science?

• Future-focused curriculum aligned with global trends in Artificial Intelligence and Data Science
• Outcome-Based Education (OBE) designed to ensure measurable learning outcomes
• Experienced, qualified, and dedicated faculty members
• Practical learning through AI Innovation Labs and modern computing facilities
• Opportunities for research, innovation, capstone projects, and internships
• Technical seminars, workshops, competitions, and industry engagement activities
• Strong preparation for higher education, research, entrepreneurship, and global career opportunities

Research Areas:

The Department promotes research and innovation in emerging areas of Artificial Intelligence and Data Science, including:

• Artificial Intelligence 
• Machine Learning 
• Deep Learning 
• Data Science & Analytics 
• Computer Vision 
• Natural Language Processing 
• Intelligent Systems 
• Robotics & Automation 
• Internet of Things (IoT) 
• Smart Healthcare 
• Smart Agriculture 
• Cyber Security

Students are encouraged to participate in research projects, innovation challenges, technical seminars, workshops, and national and international competitions.

Laboratories & Learning Facilities:

Students gain practical experience through modern learning facilities within the Department, including:

• AI Innovation Lab 
• Computer Lab 
• Circuit Lab 
• Physics Lab
• Smart Classrooms 
• Library & Digital Resources 
• Research & Innovation Activities

These facilities provide students with hands-on experience in programming, Artificial Intelligence, software development, embedded systems, and engineering applications.

Career Opportunities

Graduates of the Department of Artificial Intelligence & Data Science are prepared for diverse career opportunities in the rapidly evolving technology sector, including:

• Artificial Intelligence (AI) Engineer
• Machine Learning Engineer
• Data Scientist
• Computer Vision Engineer
• AI Software Developer
• Data Analyst
• Robotics Engineer
• AI Researcher
• AI Consultant
• Technology Entrepreneur

Join the Future

Artificial Intelligence is transforming every industry. Join the Department of Artificial Intelligence & Data Science at Software Skills and become part of a new generation of innovators, researchers, and technology leaders.

Imagine. Learn. Innovate. Lead.

AI and Data Science are closely connected fields that use data and algorithms to solve complex problems. Data science focuses on extracting insights and patterns from data, while AI builds systems that can learn and act on their own. Machine learning acts as a bridge between both disciplines.

AI Short Courses

• AI for Everyone (DeepLearning.AI): A non-technical overview, explaining how AI impacts business strategy and daily workflows
• Google AI Essentials : A beginner-focused program teaching everyday productivity hacks using modern AI tools and prompt techniques.
• Prompt Engineering for ChatGPT : Teaches structured communication strategies to get accurate, repeatable text and code outputs from large language models.
• Introduction to Generative AI : Explains foundational concepts behind text, image, and audio-generating AI models
• Agentic AI Short Courses (DeepLearning.AI): Focuses on building multi-step workflows where AI agents can execute tasks autonomously.
• AWS Certified AI Practitioner (Amazon Web Services): A fast-paced credential covering cloud-based AI and machine learning fundamentals

Data Science Short Courses

The world of working is evolving this means that the skills needed to succeed in this new world are changing, too. Our short professional programs and training will help you advance your knowledge and skills, develop your interests, and deliver a deeper understanding of your subject

• Python for Data Science: Teaches core programming, data cleaning, and manipulation using essential libraries (NumPy and Pandas).
• SQL and Database Management: Focuses on data extraction, querying, and managing relational databases for analytical workflows.
• Data Visualization & Business Intelligence (Power BI / Tableau): Builds expertise in dashboard creation, data storytelling, and translating data into business insights.
• Applied Machine Learning: Introduces predictive modeling, regression, and decision trees using frameworks like Scikit-learn.
• Excel Basics for Data Analysis: Covers foundational spreadsheet skills for quick data summaries and initial analysis
• Data Analytics and Visualization: Data analytics and visualization short courses teach you how to clean data, build dashboards, and share insights using tools like Excel, SQL, Tableau, and Power BI
• Data Analytics: Data analytics short courses teach you how to collect, clean, analyze, and visualize data using standard industry tools.

Advanced Science Courses

• GenAI + LLM+RAG
• Agentic AI for Business Applications
• AI Engg  +MLOps
• Applied AI and ML
• Data Science and ML
• NLP for business applications
• Prompt Engineering
• AI Evaluation and Observability
• RAG and Vector databases
• PowerBI for Business Acceleration
• TABLEAU