Quick Enquiry

B. Tech in Artificial Intelligence and Data Science

The School of Computer Science and Engineering at REVA UNIVERSITY proudly launches an innovative B. Tech in Artificial Intelligent and Data Science programme during the academic year 2021–2022. Due to the exploration of the Internet, AI and DS deliver data-driven solutions using computational principles, methods, and systems for extracting information from data and modern computation systems that reveal capabilities of insight, way of thinking, learning, and action that are typical of human intelligence. This course to create motivated, innovative, creative thinking graduates to fill ICT positions across sectors who can conceptualize, design, analyze, and develop ICT applications to meet the modern-day requirements.

B. Tech in Artificial Intelligent & Data Science Programme prepares students with the skills to perform intelligent data analysis which is a key component in numerous real-world applications. During the past ten years, data science has emerged as one of the most high-growth, dynamic, and lucrative careers in technology. This course aims at providing not only the core technologies such as artificial intelligence, data mining, and data modeling but also gives intensive inputs in areas of machine learning and big data analytics. By this course, the students will gain cross-disciplinary skills across fields such as statistics, computer science, machine learning, and logic, data scientists and may have career opportunities in healthcare, business, e-commerce, social networking companies, climatology, biotechnology, genetics, and other important areas. The major focus of this programme is to equip students with statistical, mathematical reasoning, machine learning, knowledge discovery, and visualization skills.

The course covers the core principles of Data Science, the process of ethically acquiring, engineering, analyzing, visualizing, and ultimately monetizing data. It equips it with the basic tools and techniques of data handling, exploratory data analysis, data visualization, and data-based inference.

The course also introduces the fundamentals of Artificial Intelligence – state-space representation, search strategies, and learning algorithms. The course motivates students to work closely with data and make data-driven decisions in the field of study. The course also touches upon the ethical issues in Data Science and Artificial Intelligence and motivates students to explore the cutting-edge applications related to Big Data, Neural Networks, and Deep Learning. Applications like Alexa/Siri, Erica/Sophia, Tesla’s driverless car, Chatbot, etc are becoming common. AI-powered Robots can take over human life-endangering jobs like firefighting, deep-sea oil drilling, mining works with high mortality rates, etc.

The B. Tech., in Artificial Intelligent and Data Science curriculum developed by the faculty at the School of Computer Science and Engineering, is outcome-based and it comprises required theoretical concepts and practical skills in the domain. By undergoing this programme, students develop critical, innovative, creative thinking and problem-solving abilities for a smooth transition from academic to the real-life work environment. In addition, students are trained in interdisciplinary topics and attitudinal skills to enhance their scope. The above-mentioned features of the programme, advanced teaching, and learning resources, and the experience of the faculty members with their strong connections with the ICT sector make this programme unique.

Course Curriculum

Course Curriculum

Program Educational Objectives (PEOs)

Program Educational Objectives (PEOs)

After few years of graduation, the graduates of B. Tech in Artificial Intelligence& Data Sciences will be able to:

  • PEO-1: Have a successful professional career in industry, government, academia, and defense as an innovative engineer in a team.
  • PEO-2: Develop code and solutions to industry in a rapidly changing technology environment and communicate with clients as an entrepreneur
  • PEO-3: Pursue higher studies and continue to learn by participating in conferences, seminars, etc.

Programme Outcomes (POs)

Program Outcomes (POs)

On successful completion of the program, the graduates of B. Tech in Artificial Intelligence & Data Sciences program will be able to:

  • PO-1: Apply the knowledge of mathematics, science, engineering fundamentals for the solution of complex problems in Artificial Intelligence& Data Sciences.
  • PO-2: Identity, formulate, research literature, and analyze engineering problems to arrive at substantiated conclusions using first principles of mathematics, natural, and engineering sciences.
  • PO-3: Design solutions for complex engineering problems and design system components, processes to meet the specifications with consideration for public health and safety, and the cultural, societal, and environmental considerations.
  • PO-4: Use research-based knowledge including design of experiments, analysis, and interpretation of data, and synthesis of the information to provide valid conclusions.
  • PO-5: 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: 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: 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: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice
  • PO-9: Function effectively as an individual, and as a member or leader in teams, and multidisciplinary settings.
  • PO-10: Communicate effectively with the engineering community and with society at large. Be able to comprehend and write effective report documentation. Make effective presentations, and give and receive clear instructions.
  • PO-11: Demonstrate knowledge and understanding of engineering and management principles and apply these to one’s work, as a member and leader in a team. Manage projects in multidisciplinary environments.
  • PO-12: 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(PSOs)
On successful completion of the program, the graduates of B. Tech in Artificial Intelligence & Data Sciences program will be able to:

  • PSO-1: Understand, analyze and develop essential proficiency in the areas related to data science and artificial intelligence in terms of underlying statistical and computational principles and apply the knowledge to solve practical problems
  • PSO-2: Ability to implement Artificial Intelligence and data science techniques such as search algorithms, neural networks, machine learning, and data analytics for solving a problem and designing novel algorithms for successful career and entrepreneurship
  • PSO-3: Use modern tools and techniques in the area of Artificial Intelligence& Data Sciences.

Career Opportunities

Career Opportunities

Large numbers of companies employ a huge number of computer professionals in their Indian and Overseas offices. One among the most demanding, highest paid jobs and future scope of IT industry.

Therefore, students who complete this program successfully have industrial career opportunities in IT/Allied Industries as Machine Learning Engineers, Data Scientist, DevOps Engineer, and Artificial Intelligence Engineer, Data Analyst, Machine Learning Architect, Software Engineer, Systems Engineer, System Analyst, Business/ Domain Analyst, Systems Administrator, Project Manager, Network Engineer, Software Consultant and so on. Computer Science professionals also have numerous opportunities in Government Departments and Private Sectors, like Railways, Defence R&D, and Educational Institutions. Entrepreneurship is also an attractive career option.

Some of the biggest recruiters of AI & DS professionals Worldwide are Fractal Analytics, Deloitte, IBM, Accenture, Amazon, LinkedIn, Citrix, Verizon, SAP Labs, Nvidia, Tech Mahindra, Flipkart, Myntraetc. Have a career with exceptional prospective fields and challenging roles in a futuristic industry.

Database administrator

Information security analyst

Network architect

Network Engineers

Business_ Domain Analyst

Government Departments

Software Engineer

System Analyst

Computer Science Research

Information Systems Operation and Management

Database administrator

Data Analyst

Data_Analytics Manager

Eligibility Criteria

Eligibility Criteria

B. Tech. (Regular) :
Pass in PUC / 10+2 examination with Physics and Mathematics as compulsory subjects along with one of the Chemistry / Biotechnology / Biology / Computer Science / Electronics / Technical Vocational subjects and obtained at least 45% marks (40% in case of candidate belonging to SC/ST category) in the above subjects taken together, of any Board recognized by the respective State Governments / Central Government / Union Territories or any other qualification recognized as equivalent thereto.
Good score in REVA University Common Entrance Test (REVA CET ) or CET / COMED-K / Uni-GAUGE or any other equivalent examination conducted by recognized Institute / Agency. (for lateral entry and for more details log on to University website www.reva.edu.in
Course Duration: 8 Semesters (4 Years)

How to Apply?


Rukmini Knowledge Park, Kattigenahalli, Yelahanka, Bangalore - 560064, Karnataka

+91-90211 90211 080-46966966

Application Fee

B. Tech in Artificial Intelligence and Data Science

Indian / SAARC Nationals 1000
NRI Fee 2000
Foreign Nationals 50