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B.Tech. in Information Science and Engineering ( 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

Aligned with the evolving information economy, graduates of the B.Tech. Information Science and Engineering programme at REVA University are equipped to manage, architect, and innovate within knowledge-intensive, AI-augmented information ecosystems that define modern enterprises and public institutions.

  • Knowledge Graph Engineer
  • Semantic Web and Linked Data Developer
  • Enterprise Information Architect
  • Real-Time Data Streaming Engineer (Apache Kafka / Flink)
  • DataOps Engineer
  • Intelligent Document Processing (IDP) Specialist
  • Digital Experience Platform (DXP) Engineer
  • AI-Augmented Search and Discovery Engineer
  • Information Governance and Data Privacy Officer
  • Human-AI Interaction Designer
  • Multimodal Information Systems Developer
  • Enterprise Metadata and Taxonomy Manager
  • Smart Document Automation Engineer
  • Digital Preservation and Archiving Specialist
  • Research Data Scientist
  • IT Strategy and Transformation Consultant
  • Regulatory Technology (RegTech) Analyst
  • Ambient Intelligence Systems Developer
  • Cognitive Systems Engineer
  • Chief Information Officer (CIO) – Career Progression Role

Overview

The B.Tech. programme in Information Science and Engineering at REVA University is designed to provide students with in-depth knowledge of information systems, data engineering, and the science underlying modern computing. The programme offers rigorous training in areas such as data structures, algorithms, information retrieval, database systems, knowledge engineering, software engineering, and human-computer interaction. Students are equipped with the skills to design, analyse, and implement information-intensive systems that power contemporary business and technological ecosystems. A strong emphasis is placed on the organisation, representation, and retrieval of information at scale, preparing graduates to manage and engineer complex information systems for organisations operating in data-driven environments. The curriculum also incorporates emerging domains such as cloud computing, semantic web technologies, and enterprise information management, ensuring graduates are prepared to meet the demands of a rapidly evolving information landscape.

Course Curriculum

01Multivariable Calculus & Linear Algebra

02Engineering Chemistry

03Communication Skills

04Programming with C

05Elements of Mechanical Engineering

06IoT and Applications (Innovation)

07Design Thinking (Entrepreneurship)

08Programming with C Lab

09Engineering Workshop

01Probability and Statistics

02Chemical Technology for Computing

03Advanced C Programming with Generative AI

04Electronics and Digital Logic

05Python for Data Science

06Fundamentals and Applications of Civil Engineering

07Finance and Management

08Advanced C Programming with Copilot Lab

09Electronics and Digital Logic Lab

10Python for Data Science Lab

11Engineering Exploration

12AI Foundations for Engineers

13Grand Challenge

01Probability and Statistics

02Chemical Technology for Computing

03Advanced C Programming with Generative AI

04Electronics and Digital Logic

05Python for Data Science

06Fundamentals and Applications of Civil Engineering

07Finance and Management

08Advanced C Programming with Copilot Lab

09Electronics and Digital Logic Lab

10Python for Data Science Lab

11Engineering Exploration

12AI Foundations for Engineers

13Grand Challenge

01Discrete Mathematics & Graph Theory

02Professional Ethics

03Entrepreneurship

04Indian Constitution

05Programming with Python

06Data Structures using C

07Analog and Digital Electronics

08Computer Organization & Architecture

09Python Lab

10Data Structures Lab

11Analog & Digital Electronics Lab

01Numerical Methods and Optimization Techniques

02Computer Organization & Architecture

03Design and Analysis of Algorithms

04Database Management Systems

05Programming with JAVA

06Design and Analysis of Algorithms Lab

07Database Management Systems Lab

08Programming with JAVA Lab

09Skill Development course –II/MOOC/SWAYAM

10Indian Constitution and Cyber Law

11Introduction to Design Thinking

12Placement Training

01Open Elective 1 (General)

02Indian Heritage and Culture

03Machine Learning (Innovation)

04Computer Networks

05Information Theory and Coding

06Operating Systems

07Professional Elective I

08Professional Elective II

09Machine Learning Lab

10Computer Networks Lab

11Operating Systems Lab

12Skill Development Course

01Natural Language Processing

02Information Retrieval

03Information and Network Security

04Information Retrieval Lab

05Natural Language Processing Lab

06Information and Network Security Lab

07Mini Project – Research Based

08Indian Knowledge Systems

09Data Mining

  • Prompt Engineering
  • Cyber Law and Digital Forensics
  • Smart Sensor Technology

10Computer Vision And Applications

  • Block Chain Technology
  • Advanced Intelligent Data Management Cloud
  • Mobile Application Development
  • Software Development Through Experiential Learning

11Social Network Analysis

  • Deep Learning
  • Quantum Computing
  • AI with Data Cloud Master

12Placement Training

01Open Elective 3 - MOOC

02Open Elective 4

03Professional Elective V

04Skill Development course (MOOC)

05Internship

06Project – Phase I / Startup (Intellectual Property and Entrepreneurship)

01Project – Phase II/Startup

02Global Certification / Internship

Programme Educational Objectives (PEOs)

After few years of graduation, the graduates of B.Tech. (Information Science and Engineering) will be able to:

PEO-1

Communicate as a member in team and develop code to solve problems in software industry.

PEO-2

Start enterprise to improve the economy of the country for providing the support to the customer for lifelong learning attitude.

PEO-3

Pursue higher education in the field of Information Science and Engineering in allied areas.

Programme Outcomes (POs)

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

PO 1

Apply the knowledge of mathematics, science, engineering fundamentals for the solution of complex problems in Information Science and Engineering.

PO 2

Identify, 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 the 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 in multidisciplinary settings.

PO 10

Communicate effectively with the engineering community and with society at large. Be able to comprehend and write effective reports 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 own 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.

Programme Specific Outcomes

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

  • PSO-1 Develop and write algorithms in Information Science and Engineering.
  • PSO-2 Analyze and Solve problems in the field of Information Science and Engineering and address the real life situations in the industry.
  • PSO-3 Use different tools and techniques in Information Science and Engineering and allied areas.
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