Department of Artificial Intelligence and Data Science
Department Overview
During the past few years with the advent of Artificial Intelligence and Data science, there are various developments like voice assistance, fraud detection, healthcare analysis, etc…that have been successful and until today it is in progress. Artificial intelligence and data science is an emerging sources to the modern world of technology. Artificial intelligence and Data science is the key components to numerous real time applications. It is one of the most surging careers in technology. It helps an individual to get a decent job in the industry with sound knowledge, skills, and practice where they can solve major problems in the fields of machine learning, statistical, mathematical reasoning, and visualization skills.
Mission
To deliver a rigorous curriculum that integrates AI and data science principles with hands-on experience and real-world applications.
To encourage innovation and interdisciplinary research that advances the frontiers of AI and data analytics.
To equip students with the technical expertise and problem-solving abilities needed to excel in dynamic technology sectors.
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Vision
To establish a world-class program in Artificial Intelligence and Data Science that nurtures skilled professionals capable of leveraging intelligent technologies to create impactful solutions for global challenges.
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Programs Offered
B.Tech - Artificial Intelligence & Data science
The Artificial Intelligence and Data Science program offers a comprehensive curriculum designed to equip students with essential skills in machine learning, statistical analysis, mathematical reasoning, and data visualization. This course prepares students to develop intelligent systems and extract valuable insights from large datasets, addressing real-world challenges across various industries such as healthcare, finance, and fraud detection. With a focus on practical knowledge and industry-relevant applications, graduates are well-positioned for rewarding careers in the rapidly evolving fields of AI and data science.
To equip graduates with strong foundational knowledge in artificial intelligence, machine learning, and data science to address complex computational problems.
To foster skills in designing, developing, and deploying intelligent systems and data-driven solutions across diverse industries.
To encourage continuous learning, research, and innovation to adapt to emerging technologies and evolving industry requirements.
To prepare students for successful careers in academia, industry, and entrepreneurship with professional ethics and social responsibility.
Program Specific Outcomes (PSO)
Apply machine learning algorithms, data mining techniques, and statistical models to analyze and interpret large datasets.
Develop and implement AI-based applications for real-world problems using modern tools and technologies.
Design intelligent systems incorporating natural language processing, computer vision, and predictive analytics.
Programme Outcomes (POs)
Demonstrate thorough understanding of core concepts in AI, data science, and computational techniques.
Analyze complex problems and design effective AI and data-driven solutions.
Conduct experiments, evaluate results, and validate models in data science projects.
Exhibit professional and ethical responsibility in the use of AI and data science technologies.
Communicate effectively with multidisciplinary teams and stakeholders.
Engage in lifelong learning to stay current with advancements in AI and data science.
Recognize the societal impact of AI and data-driven technologies and promote sustainable practices.
Faculty
Meet our dedicated faculty members who bring expertise, passion, and innovation to the classroom.
We proudly collaborate with top companies that value talent and innovation, offering our students exceptional career opportunities.
From SSIET to the World’s Leading Companies
Graduates from SSIET are well-prepared to enter the world’s best companies. With strong technical expertise, innovative thinking, and problem-solving abilities, our alumni make a difference in shaping industries worldwide.
Step-by-step guide to submitting your application and joining our university community.
Scholarships
Discover scholarship opportunities to support your education and reward academic excellence.
Fee Structure
Clear and transparent details on tuition fees and other associated costs.
Eligibility Criteria
Check the academic requirements and qualifications needed to apply for our programs.
Admission Requirements
Find out what documents and prerequisites are necessary for successful admission.
Campus Life
Experience a vibrant campus environment filled with activities, clubs, and support services.
Frequently asked Questions
Find answers to common questions about our Artificial Intelligence & Data science, admissions, and student resources.
What is the focus of the Artificial Intelligence and Data Science program?
The program focuses on teaching core concepts of AI, machine learning, data analytics, and data-driven decision-making to solve complex problems in various industries.
What career opportunities are available after completing this program?
Graduates can pursue careers as Data Scientists, AI Engineers, Machine Learning Specialists, Data Analysts, Research Scientists, and Business Intelligence Analysts.
What are the key subjects taught in the Artificial Intelligence and Data Science course?
Key subjects include Machine Learning, Deep Learning, Data Mining, Statistical Analysis, Natural Language Processing, Computer Vision, and Big Data Technologies.
Do I need prior programming knowledge to enroll in this program?
Basic programming skills are recommended, but the program is designed to help students develop the necessary coding and analytical skills during the course.
Are there practical learning opportunities like internships or projects included?
Yes, the program incorporates hands-on projects, internships, and industry collaborations to provide practical experience and real-world exposure.
Your Future,
Your Choice – We're Here to Guide You.
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