Overview

Computer Science and Engineering (CSE) focuses on the concepts and techniques used in the design and development of advanced hardware/software systems. The curriculum places emphasis on knowledge-based course work integrated with skill development. It equally helps in inculcating the scientific temper necessary for lifelong learning.


Specializations:

Computer Science

Data Science

Statistics and Computer Science

Mathematics and Computer Science

Duration of the programme

3 years (6 semesters)

B.Sc. (Hons) – Computer Science
Overview

This program is all about understanding how computers work—from algorithms to system design. It’s great for students who want a strong academic base and flexibility in careers.


Features and Career Paths

Deep dive into programming and problem-solving


Opportunities for research and innovation


Career paths: Software Developer, System Analyst, Researcher



B.Sc. (Hons) – Data Science
Overview

This program blends computing, statistics, and analytics to help you uncover insights and solve problems across industries.


Features and Career Paths

Learn to analyze and visualize data


Work on real-world projects in healthcare, finance, and more


Career paths: Data Analyst, BI Manager, ML Scientist



B.Sc. (Hons) – Statistics & Computer Science
Overview

The B.Sc. (Hons) Statistics & Computer Science program is tailored for students passionate about data and computing. It integrates statistical reasoning (probability, regression, stochastic processes) with computer science fundamentals (programming, data structures, algorithmic thinking). Students are trained to process and analyze data, build software for statistical tools, and derive insights from complex datasets. Graduates are ready for careers in data science, analytics, software engineering roles involving statistical tasks, or continuing to higher studies.


Features and Career Paths

Explore probability, algorithms, and data modeling


Dual expertise opens up diverse career options


Career paths: Statistician, Data Analyst, Actuarial Scientist



B.Sc. (Hons) – Mathematics & Computer Science
Overview

The B.Sc. (Hons) Mathematics & Computer Science program offers a strong foundation at the intersection of mathematics and computation. The curriculum combines core mathematics (calculus, algebra, discrete mathematics) with fundamental computer science courses (programming, data structures, algorithms). Students develop analytical thinking and computational proficiency, enabling them to work in domains that demand mathematical modelling and software development. Graduates are prepared for careers in software development, computational modelling, quantitative analysis, and other technology-driven fields, or for pursuing higher studies in mathematics, computing, or related disciplines.


Features and Career Paths

Strong foundation in logic, algorithms, and computation


Ideal for careers in AI, cryptography, and software engineering


Career paths: Software Engineer, Data Scientist, Researcher


PEOs, POs, PSOs


PEO 1: Build Strong Technical Foundations

Graduates will acquire a solid understanding of computer science fundamentals, programming, and data systems, enabling them to solve computational problems effectively.

PEO 2: Embrace Lifelong Learning and Higher Education

Graduates will be encouraged to pursue advanced studies, certifications, or research in computer science and related fields, fostering continuous learning and innovation.

PEO 3: Adopt Innovation and Entrepreneurial Thinking

Graduates will be equipped with skills in emerging technologies such as AI, cloud computing, and data analytics to innovate and contribute to entrepreneurial ventures or research initiatives.

PEO 4: Promote Ethical, Social, and Environmental Responsibility

Graduates will demonstrate ethical behavior, effective communication, and teamwork, while being mindful of their responsibilities towards society, sustainability, and inclusive development.

 

PO1: Knowledge and Application

Apply fundamental knowledge of computing, mathematics, and science to solve real-world problems in computer science and applications.

PO2: Problem Analysis

Identify, formulate, and analyze problems using computational thinking and domain knowledge to derive effective solutions.

PO3: Design and Development

Design and develop software systems and solutions that meet desired specifications and societal needs, considering safety and sustainability.

PO4: Modern Tool Usage

Use appropriate tools, technologies, and platforms including programming environments, databases, and cloud services for effective computing solutions.

PO5: Ethics and Responsibility

Apply ethical principles and commit to professional ethics, responsibilities, and norms of computing practice.

PO6: Communication Skills

Communicate effectively with peers, clients, and society at large through documentation, presentations, and collaborative tools.

PO7: Teamwork and Leadership

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

PO8: Lifelong Learning

Recognize the need for lifelong learning and engage in continuous professional development to adapt to technological changes.

PO9: Project Management and Entrepreneurship

Demonstrate knowledge of project management principles and apply entrepreneurial skills to initiate and manage computing projects.

PO10: Societal and Environmental Concern

Understand the impact of computing solutions in societal and environmental contexts and demonstrate sustainable practices.

PSO 1: Software Development and Engineering Skills

Apply programming, database management, and software engineering principles to design, develop, and maintain robust and scalable software applications.

PSO 2: Data-Driven Decision Making

Utilize statistical tools, machine learning models, and visualization techniques to extract insights from data and support intelligent decision-making.

PSO 3: Industry-Ready Technological Proficiency

Demonstrate hands-on expertise in modern computing tools and platforms such as cloud services, cybersecurity, AI systems, and Linux environments to meet evolving industry demands.

Course Structure


R25 - Course Structure

Program &

its Features

Project-based curriculum which caters to industry needs. Students can participate in Hackathons, Competitions & Maker-spaces to hone their practical skills. Workshops on industry relevant topics happen all the time

Flexibility to set your own schedule or the sequence of courses to tailor to your interests. You can also pursue minors in other departments

Cutting-edge industry relevant courses:

Artificial intelligence

Cyber security

Computer networking

Database management

Blockchain

Excellent award winning and caring faculty are available to you to help you learn new technologies and guide you in your career

iScholars program is available to help you become the next generation leaders. In the program, students learn by leading and promoting the student enrichment across campus.

Internship opportunities at SRiX as well as at partner industries

Provides an environment of transition from engineering concepts and theory to real engineering problems

The programs will prepare you for:

A career in industry and sets you in a path to leadership

Graduate studies in India or abroad. It prepares you well for GATE exam for admission into M.Tech in India. The international collaborative institutions are great places to get graduate admission abroad.

An entrepreneurial journey during, after graduation or later in career

ADMISSIONS OPEN 2025