About Department

Studying Artificial Intelligence opens a world of opportunities. At a basic level, you'll better understand the systems and tools that you interact with on a daily basis...In the field of artificial intelligence, the possibilities are truly endless.

B.Tech in Artificial Intelligence and Data Science is a four years undergraduate course that deals with core technologies like Machine learning, Artificial Intelligence, Data warehouse, Data mining, Scripting language, Product development, Mathematical modeling.

• This course also gives importance to areas like big data analytics, fuzzy technologies, artificial neural networks. It helps students in getting ready with skills to perform decisions that are based on data analysis.
• Through AI and DS courses, students will gain skills in areas like statistics, data scientists, machine learning, computer science, and logic.
• Artificial Intelligence is a part of Data Science. For its operations in the field of Data Science, Artificial Intelligence is used. Data Science is connected with Artificial Intelligence through machine learning.

VISION

Our vision is to achieve outstanding standards of quality education through the utilization of cutting-edge tools, aiming to become a center of excellence in the promotion of knowledge centric education, innovation, and state-of-the-art research in the realms of Artificial Intelligence and Data Science.

MISSION

• M1: To impart quality and value-based education and contribute towards the innovation of computing, expert system, Data Science to raise satisfaction level of all stakeholders.
• M2: To educate the future Computing engineering with strong fundamentals by continuously improving the teaching learning methodologies using contemporary aids.
• M3: Enabling students to get expertise in critical skills with Artificial Intelligence domain and facilitate socially responsive research and innovation.
• M4: To encourage professional development of students that will inculcate ethical values and leadership skills while working with the community to address societal issues.

PROGRAM OUTCOMES (POs)

• Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
• Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
• 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.
• 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.
• 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 EDUCATIONAL OBJECTIVES (PEOs)

Graduates can

• Utilize their proficiencies in the fundamental knowledge of basic sciences, mathematics, Artificial Intelligence, data science and statistics to build systems that require management and analysis of large volumes of data.
• Advance their technical skills to pursue pioneering research in the field of AI and Data Science and create disruptive and sustainable solutions for the welfare of ecosystems.
• Think logically, pursue lifelong learning and collaborate with an ethical attitude in a multidisciplinary team.
• Design and model AI based solutions to critical problem domains in the real world.
• Exhibit innovative thoughts and creative ideas for effective contribution towards economy building.

PROGRAM SPECIFIC OUTCOMES (PSOs)

Graduates should be

• Evolve AI based efficient domain specific processes for effective decision making in several domains such as business and governance domains.
• arrive at actionable Foresight, Insight, hindsight from data for solving business and engineering problems
• create, select and apply the theoretical knowledge of AI and Data Analytics along with practical industrial tools and techniques to manage and solve wicked societal problems
• capable of developing data analytics and data visualization skills, skills pertaining to knowledge acquisition, knowledge representation and knowledge engineering, and hence capable of coordinating complex projects.
• able to carry out fundamental research to cater the critical needs of the society through cutting edge technologies of AI.

B.Tech in Artificial Intelligence and Data Science Highlights

Why Choose B.Tech in Artificial Intelligence and Data Science?

After pursuing B.Tech in AI and DS, graduates can make their career success in the field of data science and Artificial Intelligence.

• The demand for studying this course is increasing day by day. In technology, Artificial Intelligence, and Data Science has shown high growth in the last few years.
• It is one of the high demanding subjects in today’s world as it has very good career opportunities in various sectors.
• Students can choose this course as it makes them fit for the industry and start their career as data scientists, data analysts.

Why Choose B.Tech - Artificial Intelligence and Data Science at AMCET?

Even Artificial Intelligence and Data Science has lot of scopes, AMCET provides special add-ons as listed below.

• Providing value added courses in every semester.
• Organizing Guest Lectures from reputed universities like IIT, NIT etc.,
• Providing lot of internship oppurtunities.
• 100% Placement in top MNC’s like Zoho, Infosys, HCL, TCS etc.,
• HCL’s authorized Recruitment Partner
• Centre of Excellence with top MNC’s like Triniti Softwares etc.,

B.Tech in Artificial Intelligence and Data Science Admission Process

The admission process in B.Tech AI and DS is based on the marks obtained in the higher secondary exam.

• Students after qualifying their 10+2 exam from the science stream with a minimum of 40% of marks are eligible to apply for admission in this course.
• On the basis of these eligibility criteria, students are granted admission to this course.

B.Tech in Artificial Intelligence and Data Science Syllabus

In the below table, the syllabus of B.Tech in Artificial Intelligence and Data Science are given:

B.Tech in Artificial Intelligence and Data Science Future Scope

As the demand for Artificial Intelligence and Data Science is rapidly increasing, so job opportunities are also increasing day by day.

• After pursuing B.Tech in AI, a lot of career opportunities or scope are there in the field of business, telecommunication, e-commerce, healthcare, climatology, social networking companies, biotechnology, genetics, Research and Development, IT industry, and IT-enabled service industries, banking, government agencies, insurance, aerospace, etc.
• Students can even opt to go for higher education in Artificial Intelligence and Data Science after completing their graduation. Some students even opt to prepare for competitive exams.
• Lastly, it can be said that graduates in B.Tech AI have a very bright career in the future.

B.Tech in Artificial Intelligence and Data Science Placement Trends

If we see the placement in B.Tech AI over the last few years, we will see that there is an exponential growth in placement.

• Many multinational companies recruit AI graduates.
• The average starting salary package offered by the company is around 2-5 lakh per annum and the highest salary package offered is around 15 lakh annually.
• The top job profiles for AI graduates are Data Scientist, Machine Learning Engineer, Database Developer, Business analyst, Business Intelligence Developer, Big Data Engineer/ Architect, etc.

The highest-paid salary offered to the graduates of AI is around 15 lakh per annum. The top companies that recruit AI graduates are Accenture, Infosys, IBM, Amazon, Microsoft, Adobe, Cognizant, Deloitte, Netflix, Microsoft, Oracle, Wipro, etc.