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B.Tech Computer Science and Engineering (Artificial Intelligence and Machine Learning)

Program Overview

This program contains an array of courses which are related to computation like design and analysis of algorithms, computer programming languages, software design, and computer hardware. This program also has courses related to electrical and electronics engineering, applied sciences and linguistics.

Data Science is the future of Artificial Intelligence which has grown exponentially in last few years. This specialization is proposed to enable students to develop smart machines with a cutting-edge combination of AI & Data Science technologies like, Artificial Intelligence, Machine Learning, Data Science and Statistics, Big Data Analytics, Computer Vision, Business Intelligence, Deep Learning and Reinforce learning, Robotics, Predictive Analytics using R,  Swarm and Bio-inspired Intelligence, Robotic Process Automation, Genetic Algorithms, Fuzzy Logic and Systems ,Natural  Language Processing, etc. 

Course Curriculum

Course Curriculum

Program Educational Objectives (PEOs)

Program Educational Objectives (PEOs)

After few years of graduation, the graduates of B. Tech CSE (Artificial Intelligence & Machine Learning) will be able to:

  • PEO-1: Demonstrate technical skills, competency in AI & ML and exhibit team management capability with proper communication in a job environment.
  • PEO-2: Support the growth of economy of a country by starting enterprise with a lifelong learning attitude
  • PEO-3: Carry out research in the advanced areas of AI & ML and address the basic needs of the society.

Programme Outcomes (POs)

Program Outcomes (POs)

On successful completion of the program, the graduates of B. Tech CSE (Artificial Intelligence & Machine Learning) program will be able to:

  • PO-1: Apply the knowledge of mathematics, science, engineering fundamentals, and solve problems in the computer science and engineering specialization in Artificial Intelligence & Machine Learning.
  • PO-2: 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 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: 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: 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 diverse teams, and in multidisciplinary settings.
  • PO-10: 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: 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: 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 CSE (Artificial Intelligence & Machine Learning) program will be able to:

  • PSO-1: Demonstrate the knowledge of human cognition, Artificial Intelligence, Machine Learning and data engineering for designing intelligent systems.
  • PSO-2: Apply computational knowledge and project development skills to provide innovative solutions.
  • PSO-3: Use tools and techniques to solve problems in AI & ML.

Career Opportunities

Career Opportunities

Large number of IT companies employs huge number of computer science and IT professionals in their Indian and Overseas offices. Hence, students who complete this program successfully have industrial career opportunities in IT/Allied Industries as:

  • Information security analyst: IT security analysts work to prevent cyber-attacks by monitoring their business’ network for breaches and weak spots and to create emergency plans in the event of an attack.
  • Network architect: Sometimes called network engineers, these IT professionals design and build communication networks, such as local area networks (LANs), wide area networks (WANs), and intranets.
  • Computer support specialist: Support specialists provide advice and troubleshooting help to individuals and businesses that have questions about their software.
  • Database administrator: DBAs use software and programs to organize and store data for businesses that range from financial firms to shipping companies.
  • Systems administrator: System administrators conduct the day-to-day maintenance and operation of a business’ networks, including LANs, WANs, intranets, and other communication systems. Salaries for this position vary by industry.

Database administrator

Information security analyst

Network Engineers

Software Engineer

System Analyst

Computer Science Research

Information Systems Operation and Management

Data Analyst

Data_Analytics Manager

Back-end developer

Big data developer

Computer Techniques in Medical, Bio Imaging and Technology Systems

Software development

Engineering services

Multi-National Companies

Corporate sectors

Computer hardware, or networking

Web development

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)


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

+91-90211 90211 +91-80-4696 6966

Application Fee

B.Tech Computer Science and Engineering (Artificial Intelligence and Machine Learning)

Indian / SAARC Nationals 1000
NRI Fee 2000
Foreign Nationals 50