Department of Artificial Intelligence and Data Science
Department of
Artificial Intelligence and Data Science
The department of Artificial Intelligence and Data Science started with the B.Tech. programme in Artificial Intelligence and Data Science introduced in the year 2020 with an intake of 60 students.
Department currently offers the following programmes and these programmes are affiliated to the A.P.J. Abdul Kalam Technological University, Trivandrum, Kerala
- B.Tech. programme in Artificial Intelligence and Data Science - Intake of 60 students
- M.Tech. programme in Computer Science and Engineering with specialization in Artificial Intelligence and Machine Learning - Intake of 12 students.
- Ph.D. Programme
With recent advancements in Artificial Intelligence (AI), various sectors across the industry are harnessing its transformative potential. The more you use it, the more it learns, and becomes more accurate in its responses. This ability to improve by itself is the essence of AI. To develop cost-effective and reliable AI solutions that meet the demands of everyday life, there is an ongoing need for well-trained and passionate graduates equipped with a strong AI skill set. Our Department boasts with excellent infrastructure and a team of highly qualified and dedicated faculty members who are instrumental in delivering innovative and high-quality education and offering students a platform to attain academic excellence and pursue their career aspirations. The department strives to instill in its students not only a solid grasp of technical concepts but also a spirit of innovation, heightened social awareness, and strong human values.
To address the growing demands of the industry, students are offered a variety of programs during their studies, such as bridge courses, add-on courses, training programs, industry interactions as well as international internships to enhance their skills and knowledge. The department boasts strong placement records, with the majority of eligible students securing positions in leading companies.
B.Tech. Artificial Intelligence and Data Science programme aims at developing the technical skills of students to perform data processing and analysis, which is an essential task in various real-world applications. During the last decade, data science engineering has emerged as one of the most lucrative career fields in technology and allied businesses. This programme aims at building not only the core technologies such as machine learning, deep learning, data modelling and data mining, but also gives intensive inputs in the evolution of technology. The curriculum strikes a balance between computing and information technologies as well as statistics and mathematical sciences, thus allowing a thorough training of applying AI techniques in the data science field. The major focus of this programme is to equip students with statistical and mathematical reasoning, machine learning, knowledge discovery, and visualization skills.
Graduates of this programme will have career opportunities in healthcare, business management, e-commerce, social networking companies, climatology, biotechnology, genetics, and other important areas. The role of the graduates in these domains includes Data Scientist, Machine Learning Engineer, Data Analyst, AI Developer, Business Intelligence Developer, and Decision Maker/Statistician.
The two-year M.Tech programme in Computer Science and Engineering (AI & ML) is a cutting-edge postgraduate program designed to equip students with advanced knowledge and skills in the rapidly evolving fields of AI and ML. As industries increasingly adopt intelligent systems, this program provides a solid foundation in both theoretical concepts and practical applications, preparing graduates for a variety of roles in technology, research, and beyond.
To become a centre of excellence in Artificial Intelligence and Data Science and moulding professionals by imparting high-quality knowledge for the sustainable betterment of mankind.
To empower individuals with expertise in constantly evolving AI and Data Science tools and technologies for impactful innovations, research and societal advancements through ethical practices and industrial collaborations.
PEO1: Graduates will thrive in their careers by mastering both foundational and advanced technical skills in Artificial Intelligence and Data Science, enabling them to adapt to and excel with emerging technology.
PEO2: Graduates will foster a culture of continuous learning in Artificial Intelligence and Data Science, ensuring their professional relevance and adaptability in an ever-evolving industry.
PEO3: Graduates will demonstrate strong teamwork, and effective communication skills while developing responsible and sustainable AI solutions ethically with societal impact.
Engineering Graduates will be able to:
PO 1. Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
PO 2. Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
PO 3. Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
PO 4.Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
PO 5.Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
PO 6.The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
PO 7.Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
PO 8.Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
PO 9.Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
PO 10.Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
PO 11.Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
PO 12. Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.
Artificial Intelligence and Data Science Program Students will be able to:
PSO 1: Apply the fundamentals of science, engineering and mathematics to understand, analyze and develop solutions in the areas related to artificial intelligence and data science for optimal design of intelligent systems.
PSO 2: Design and Implement appropriate techniques and analytic tools for the integration of intelligent systems, with a view to engaging in lifelong learning for the betterment of society.
PSO 3: Practice professional ethics in applying scientific method to model and support multidisciplinary facets of engineering and its societal implications.