The core of the bachelor’s degree curriculum includes programming languages, Data Structures, Database Management Systems, Web Programming, Mobile Applications, and Networking.

Further, in higher semesters the program introduces the latest emerging fields like Big Data Analytics, Cloud Computing, the Internet of Things (IoT), Cyber Security, and Artificial Intelligence. Theoretical learning is integrated with hands-on laboratories and course projects to make the courses highly experiential and contextual.

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Course Curriculum
Semester I
Operating Systems
Discrete Mathematical Structures
Computer Organization and Architecture
Problem solving using C
Python Programming
Web Technology
Professional Communication
Corporate Communication Skills
Semester II
Linear Algebra and Graph Theory
Database Management Systems
Data Structures and Algorithms
Software Engineering
Data Structures and Algorithms Lab
Database Management Systems Lab
Problem-Solving and Analytical Skills

Specializations - Electives

Cyber Security
Blockchain Technologies
Ethical Hacking
Digital Forensics
Cyber Attacks and Counter Measures
Software Engineering
UI/UX Design
ASP.NET MVC Framework
Mobile Application Development
Object Oriented Modeling and Design
AI and ML
Neural Networks and Deep Learning
Business Intelligence
Natural Language Processing
Social Network Analysis
Semester III
Computer Networks
Applied Statistics
Object-Oriented Programming using Java
Full Stack Web Development
Data Mining and Analytics
Computer Networks Lab
Arithmetical Thinking and Analytical Reasoning
Semester IV
Programming with C# and .Net
Software Testing
Professional Aptitude and Logical Reasoning
Machine Learning
Devops Lab
Minor Project-1
Industry Readiness and Leadership Skills

Specializations - Electives

Cyber Security
Blockchain Technologies
Ethical Hacking
Digital Forensics
Cyber Attacks and Counter Measures
Software Engineering
UI/UX Design
ASP.NET MVC Framework
Mobile Application Development
Object Oriented Modeling and Design
AI and ML
Neural Networks and Deep Learning
Business Intelligence
Natural Language Processing
Social Network Analysis
Semester V
Cloud Computing
Information Security
Big Data Analytics
Professional Elective-1
Professional Elective-2
Minor Project-2
OR
Semester VI
Professional Elective-3
Professional Elective-4
Capstone Project
Industry Training
Industry Project

Specializations - Electives

Cyber Security
Blockchain Technologies
Ethical Hacking
Digital Forensics
Cyber Attacks and Counter Measures
Software Engineering
UI/UX Design
ASP.NET MVC Framework
Mobile Application Development
Object Oriented Modeling and Design
AI and ML
Neural Networks and Deep Learning
Business Intelligence
Natural Language Processing
Social Network Analysis
 
Educational Objective

Have a strong foundation and ability to apply knowledge of Computer Science, mathematics and humanities to conceive, analyze, design and implement IT solutions to problems in real life applications.

Have a comprehensive background to practice Software Engineering Principles in a variety of domains that require Software architecture, design, development and testing practices.

Have an understanding of professional and ethical obligations of a software engineer towards society and the need for lifelong learning.

Have an ability to effectively participate in multidisciplinary teams using ICT.

 

  • Eligibility Criteria

    Candidates must have completed high-school and pre-university (10+2) from a recognized board.

    Typically, candidates should have studied course such as science or commerce at the 10+2 level.

    Candidates must obtain a minimum percentage in their high school and pre-university exams with minimum 60%.

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Programme Outcomes (POs)
  • Computational Knowledge

    Apply knowledge of computing fundamentals, computing specialization, mathematics, and domain knowledge appropriate for the computing specialization to the abstraction and conceptualization of computing models from defined problems and requirements.

  • Problem Analysis

    Identify, formulate, research literature, and solve complex computing problems reaching substantiated conclusions using fundamental principles of mathematics, computing sciences, and relevant domain disciplines.

  • Design/Development of Solutions

    Design/development of solutions: Design and evaluate solutions for complex computing problems, and design and evaluate systems, components, or processes that meet specified needs with appropriate consideration for public health and safety, 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, adapt and apply appropriate techniques, resources, and modern computing tools to complex computing activities, with an understanding of the limitations.

  • Professional Ethics

    Understand and commit to professional ethics and cyber regulations, responsibilities, and norms of professional computing practice.

  • Life-long Learning

    Recognize the need, and have the ability, to engage in independent learning for continual development as a computing professional.

  • Project Management and Finance

    Demonstrate knowledge and understanding of the computing 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.

  • Communication Efficacy

    Communicate effectively with the computing community, and with society at large, about complex computing activities by being able to comprehend and write effective reports, design documentation, make effective presentations, and give and understand instructions clearly.

  • Societal and Environmental Concern

    Understand and assess societal, environmental, health, safety, legal, and cultural issues within local and global contexts, and the consequential responsibilities relevant to professional computing practice.

  • Individual and Team Work

    Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary environments.

  • Innovation and Entrepreneurship

    Identify a timely opportunity and using innovation to pursue that opportunity to create value and wealth for the betterment of the individual and society at large.

  • IT Skills

    An ability and capacity acquired through deliberate, systematic and sustained effort to carry out complex IT activities involving innovative ideas technical skills and interpersonal skills.

  • Professional Competency

    Apply computing concepts, skills and processes to produce a product/project in the domain demonstrating professional knowledge and attitude.

 

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