About Department of Artificial Intelligence & Data Science

Department of

Artificial Intelligence & Data Science

With the innovations in Artificial Intelligence (AI), different sectors in all domains of the industry are leveraging the power of AI. Applications of AI span from practical speech and voice recognition, embedded in our phones for voice commands to autonomous driving and navigation capabilities in unmanned vehicles. 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 realize AI-based cost-effective and reliable solutions for the demands in our daily life, there is an inexhaustible need of well trained and passionate graduates, possessing the skill set of AI.

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.

By this course, the students will gain cross-disciplinary skills across fields such as mathematics for Artificial Intelligence, statistics for Data Processing & Analysis, Computer Science for developing machine learning applications, and Mechatronics for realizing real-world solutions.

Studies done by reputed organizations indicate that AI paves the way for providing more than a million opportunities in industry worldwide by the end of this year. 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.



Program Educational Objectives (PEO)

Graduates of Artificial Intelligence and Data Science program shall

PEO 1: Have strong technical foundation for successful professional careers and to evolve as key-players/ entrepreneurs in the field of information technology.

PEO 2: Excel in analyzing, formulating and solving engineering problems to promote life-long learning, to develop applications, resulting in the betterment of the society.

PEO 3: Have leadership skills and awareness on professional ethics and codes.

Program Outcomes (PO)

Artificial Intelligence and Data Science

Program Students 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.

Program Specific Outcomes(PSO)

Artificial Intelligence and Data Science Program Students will be able to:

PSO1: 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.

PSO2: 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.

PSO3: Practice professional ethics in applying scientific method to model and support multidisciplinary facets of engineering and its societal implications.