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Programs

Bachelor of Science (Honours) - B. Sc. (Hons.) - Computer Science

Overview

The B. Sc. in Computer Science focuses on the concepts and techniques used in designing and developing advanced software systems. The programme enables the student to develop the conceptual underpinnings of computer science, including its fundamental algorithms, programming languages, operating systems, and software engineering techniques.

Computer Science is a professional field associated with computer technology (hardware and software). It has sub-disciplines such as computer theory, hardware systems, software systems, and scientific computing. It studies processes enabling algorithms to manipulate, store, and communicate digital information. In a nutshell, Computer Science deals with the theoretical foundations of information and computation and takes a scientific and practical approach to computational applications.

The Bachelor of Computer Science will be your steppingstone to develop a career in the world of computers. Here, you will get acquainted with various technologies and systems that develop computer software and hardware. Computer Science, an evolving field, demands a diverse skill set to solve real-life problems. Pursuing the degree will help one navigate the required skills to solve practical problems and keep up with upcoming trends.

Our students benefit from the Department's cutting-edge research and extensive facilities. The Department of Computer Science and Technology has the latest software, advanced lecture theatres, and dedicated practical rooms. The faculty is world-class with expertise spanning multiple disciplines within computer science such as Algorithms, Machine Learning, Mobile Computing, Cyber Security, and Software Engineering. Students post-project deliver a product to a client and acquire relevant industrial experience.

Course Duration

Four Years (Eight Semesters)

Commence of the course

Course Duration

Mode of Study

Eligibility

10+2 from recognized Board / Council with minimum 50% aggregate marks with Mathematics / Computer Science as Compulsory Subject.

A relaxation of 5% marks or its equivalent grade may be allowed for those belonging to SC / ST.

Learning Outcomes

  • Have an inside track to Global Leaders’ Alliance Fellowship
  • Take classes with Oxbridge/Ivy-League Faculty
  • Analyze problems and identify the computing and/or mathematical techniques appropriate for their solution
  • Apply design and development principles in the construction of software systems
  • Use current tools or techniques to implement and evaluate programs or computer-based systems
  • Apply computer science techniques and tools to solve problems in a chosen application area
  • Be able to design, implement, and evaluate a computer-based system, process, component, or program to meet desired needs

Special Features

  • Have an inside track to Global Leaders’ Alliance Fellowship
  • Take classes with Oxbridge/Ivy League faculty
  • Proficiency in high-level programming languages
  • Designing algorithms to solve computing problems
  • Designing and Developing software systems
  • Develop wide understanding of a range of computer-based systems

Program Structure

  • Introduction to Python Programming
  • Fundamentals of Computers
  • Fundamentals of Microcontrollers and Applications
  • Computer Networks
  • Computer Organization
  • Data Structures
  • Web Technology
  • Data Mining
  • Database Systems
  • Software Engineering
  • Java Programming
  • Mobile Application Development
  • Computer Security
  • Data Visualization in Python
  • Data Preparation
  • Data Analysis using Python
  • Fundamentals of Machine Learning
  • Natural Language Processing
  • Sentiment Analysis
  • Computer Algorithms
  • Designing Algorithms
  • GNU Octave for Scientific Computations
  • Web Designing
  • Server-Side Programming
  • Node JS/ React JS
  • Data Warehousing
  • Visual Programming
  • Designing Software
  • Fundamentals of Cyber Security
  • Digital Media
  • Web Development Frameworks
  • Data Analysis Using R
  • Server Side Programming in PHP
  • Content Management Systems
  • Human Computer Interaction

FAQ's

The B. Sc. (Hons.) in Computer Science at Alliance University is a three-year undergraduate program that provides a strong foundation in programming, data structures, databases, and modern technologies such as Artificial Intelligence and Data Science.

Both programs offer excellent career opportunities. B. Sc. (Hons.) in Computer Science focuses on core concepts, theory, and analytical skills, while BCA is more application-oriented. The choice depends on whether you prefer deep technical understanding or hands-on application.

No, it is not difficult. The program requires logical thinking and problem-solving skills. With consistent practice and interest, students find it manageable and rewarding.

The B. Sc. (Hons.) in Computer Science graduates can pursue roles such as Software Developer, Data Analyst, Web Developer, Mobile App Developer, System Administrator, IT Support Specialist, Database Administrator, Cloud Engineer, Cybersecurity Analyst, AI Engineer, Machine Learning Engineer, Network Engineer, DevOps Engineer, Game Developer, and Business Intelligence (BI) Analyst. They also have opportunities in emerging fields like Artificial Intelligence, Data Science, and Cybersecurity.

Yes, it is a highly promising career option, offering strong demand across industries and excellent growth opportunities in the technology sector.

B. Sc. (Hons.) in Computer Science students can pursue higher studies in programs such as M. Sc. Computer Science, MCA, M. Sc. Data Science, MBA, or specialized certifications in AI, Machine Learning, Cybersecurity, and Cloud Computing.

Top roles for Computer Science graduates include Software Developer, Data Scientist, Web Developer, Mobile App Developer, Cybersecurity Analyst, Artificial Intelligence (AI) Engineer, Machine Learning Engineer, Cloud Engineer, Database Administrator, System Analyst, and more.

Entry-level salaries typically range from INR 3–6 LPA, with higher earning potential as skills and experience grow.

Yes, Python is commonly included in the curriculum due to its wide applications in software development, data science, and Artificial Intelligence.

The degree equips students with technical and analytical skills required to build successful careers in IT, research, data science, and entrepreneurship.

Yes, students can secure entry-level positions, especially when supported by internships, projects, and practical skill development.

Yes, with additional knowledge in statistics, programming, and machine learning, graduates can transition into data science and analytics roles.

Students are trained in industry-relevant tools such as Python, R, SQL, Tableau, and Power BI, enabling them to work effectively in software development and data analysis domains.

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