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B.Tech. in Computer Science and Engineering (Artificial Intelligence and Data Science) ( B.Tech.)

Course Duration

8 Semesters
(4 Years)

Eligibility Criteria

Pass in PUC / 10+2 examination with Physics and Mathematics as compulsory subjects along with one of the subjects - 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.

FeeApplication Fee
  • Indian / SAARC Nationals₹ 1000
  • NRI Fee ₹ 2000
  • Foreign NationalsUS$ 50

Career Opportunities

The data economy demands professionals who can seamlessly bridge advanced AI with large-scale data ecosystems. Graduates of the B.Tech. Artificial Intelligence and Data Science programme at REVA University are equipped to architect intelligent data pipelines, drive AI-powered decision-making, and lead data strategy in a world increasingly defined by real-time analytics and predictive intelligence.

  • AI-Augmented Data Scientist
  • Real-Time Analytics Engineer
  • Data Lakehouse Architect (Databricks / Delta Lake)
  • Causal Inference and Experimentation Scientist
  • Decision Intelligence Analyst
  • AI Product Data Scientist
  • Responsible AI and Fairness Analyst
  • Computational Social Scientist
  • Precision Medicine Data Scientist (Healthcare AI)
  • FinTech Data Scientist (Algorithmic Trading / Risk AI)
  • Climate and Environmental Data Scientist
  • Geospatial Intelligence Analyst
  • Synthetic Media and Deepfake Detection Analyst
  • Data Mesh Architect
  • Feature Engineering and MLOps Specialist
  • Quantum Machine Learning Researcher
  • Behavioural Analytics Specialist
  • AI-Driven Supply Chain Optimisation Analyst
  • Personalisation and Recommendation Systems Engineer
  • Chief AI Officer (CAIO) – Career Progression Role

Overview

The B.Tech. programme in Artificial Intelligence and Data Science at REVA University is a forward-looking, practice-oriented programme that addresses the growing demand for professionals who can harness the power of data to build intelligent solutions. The programme provides a strong foundation in mathematics, statistics, and computing, combined with advanced training in AI techniques and large-scale data management. Students are exposed to a comprehensive curriculum that includes data acquisition and pre-processing, exploratory data analysis, statistical modelling, machine learning, deep learning, cloud-based data platforms, data visualisation, business analytics, and the ethical dimensions of data use. The programme emphasises project-based learning, industry collaborations, and the application of data science methodologies to solve real-world problems in sectors such as healthcare, finance, e-commerce, and public policy. Graduates are proficient in leveraging data as a strategic asset and in developing AI-powered tools that drive evidence-based decision-making at scale.

Course Curriculum

01Multivariable Calculus and Linear Algebra

02Physics for Computer Science

03Introduction to Data Science

04Programmeming for Problem Solving

05Practical /Term Work / Practice Sessions/ MOOCs:

  • Entrepreneurship
  • IoT and Applications (Innovation)
  • Computer Aided Engineering Drawing

01Probability and Statistics

02Engineering Chemistry

03Introduction to Python Programmeming

04Basics of Electrical and Electronics Engineering

05Basics of Civil and Mechanical Engineering

06Practical /Term Work / Practice Sessions/ MOOCs:

  • Biology for Engineers
  • Design Thinking (Entrepreneurship)

01Analog and Digital Electronics.

02Programmeming with JAVA (Innovation)

03Data Structures

04Discrete Mathematics and Graph Theory

05Agile Software Development and Devops (Entrepreneurship)

06Practical /Term Work / Practice Sessions/ MOOCs:

  • Communication Skills
  • Indian Constitution and Professional Ethics
  • Universal Human Values

01Design and Analysis ofAlgorithms

02Unix Operating System

03Database Management System

04Computer Organization and Architecture

05Numerical Techniques and Optimization Methods

06Practical /Term Work / Practice Sessions/ MOOCs:

  • Management Science (Entrepreneurship)
  • Environmental Science
  • Basics of Kannada / Advanced Kannada

01Artificial Intelligence and Applications (Innovation and Entrepreneurship)

02Neural Networks and Deep Learning (Innovation and Entrepreneurship)

03Machine Learning (Innovation)

04Professional Elective-I

  • Web and Text Mining (Innovation and Entrepreneurship)
  • Pattern Recognition
  • Security in IoT
  • Advanced IoT Programmeming (Innovation and Entrepreneurship)
  • Object Oriented Concepts with C++/JAVA
  • UI/UX design And Data Visualization

05Open Elective-I

  • Database Management systems

06Practical /Term Work / Practice Sessions/Online/MOOC

  • Predictive Analytics and Data Visualization Tools
  • Indian Tradition and Culture

01Theory of Computation

02Big Data analytics (Innovation and Entrepreneurship)

03Iot and Cloud (Innovation and Entrepreneurship)

04Professional Elective - II

  • Cognitive Computing
  • Business Intelligence (Entrepreneurship)
  • Industrial and Medical IoT (Innovation and Entrepreneurship)
  • Cyber Physical Systems
  • Advanced Computer Architecture
  • Parallel Computing and High Performance Computing

05Open Elective-II

  • Data Structures

06Practical /Term Work / Practice Sessions/Online/MOOC

  • Research Based Mini Project (Innovation and Intellectual Property)
  • Mobile Application Development (Entrepreneurship)
  • Technical Documentation ( Intellectual Property)

01 Professional Elective-V

02 Open Elective-III

03Capstone-Project Phase-1 (Innovation and Intellectual Property)

04 Internship/Global Certification

01 Capstone-Project Phase-2 (Innovation and Intellectual Property)

02 Internship/Global Certification

03 MOOC / Competitive Exam

04 Open Elective-IV

Programme Educational Objectives (PEOs)

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

PEO-1

Have a successful professional career in industry, government, academia and defence as an innovative engineer in a team.

PEO-2

Develop a code and solutions to industry and societal needs in a rapid changing technological 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)

On successful completion of the program, the graduates of B. Tech. (Computer Science and Engineering) program will be able to:

PO 1 Engineering knowledge:
Apply the knowledge of mathematics, science, engineering fundamentals for the solution of complex problems in Artificial Intelligence & Data Science.
PO 2 Problem analysis:
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/development of solutions:
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 Conduct investigations of complex problems:
Use research-based knowledge 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 teams, and multidisciplinary settings.
PO 10 Communication:
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 Project management and finance:
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 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.

Programme Specific Outcomes

On successful completion of the program, the graduates of B. Tech in Artificial Intelligence & Data Science 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 Science.
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