Overview

At the Masters level, our school offers M.Tech. program in Computer Science & Engineering. The Students are given a strong foundation in Computer Science and critical thinking strategies. The educational plan of the programme emphasizes more on ‘learning by doing’ and therefore has entrenched regular laboratory classes and projects. The Program places strong prominence on both course work and research. It is expected that the research will be a resource for insightful scholarly publications and national & international conference presentations.

Specializations:

Computer Science and Engineering

Artificial Intelligence & Machine Learning

Data Science

Duration of the programme

2 years (4 semesters)

Key Highlights – Bachelor of Science (Advanced) (Honours)

The outcomes of this course prepare students to pursue higher education opportunities globally.


Industry-focused courses such as Artificial Intelligence and Machine Learning, Embedded Systems, Internet of Things, and VLSI prepare students for successful placements in semiconductor, electronics, and IT sectors.


Dedicated support for internships and placements ensures exceptional career outcomes.


A series of industrial visits, workshops, hackathons, and project showcases help students engage with professionals from the industry.


Personalized mentorship and professional guidance are provided at every stage of the academic journey.


Strong partnerships through MoUs with universities and industry partners enhance research, innovation, and industry exposure.


State-of-the-art laboratory facilities support hands-on experiential learning.


Wellness initiatives include certified training sessions in martial arts and psychological counseling for students.


Recognition and awards for departmental toppers promote academic excellence.


Orientation programs for new students and farewell celebrations for graduating batches foster community spirit.


Parent-teacher meetings are conducted twice every semester to track student progress.


Clubs and NSS activities are given focused time to promote holistic student growth.


Students gain research experience that enables them to transform project ideas into academic publications.


Interdepartmental sports activities encourage teamwork and physical well-being.


Career Opportunities

Semiconductor Fabrication


Industrial Automation


Telecommunications


Robotics and Automation


Software Development


PEOs, POs, PSOs


Program Educational Objectives (PEO) 1: Ability to solve perse and complex computer science and engineering problems across a broad range of domains. 


Program Educational Objectives (PEO) 2: Pursue a career in the field of computer science and engineering. 


Program Educational Objectives (PEO) 3: Pursue higher education and/or professional development courses for life-long learning. 


Program Educational Objectives (PEO) 4: Support community building activities to improve the quality of life. 

PO1: Ability to apply the knowledge of Science, Mathematics and Engineering principles for developing critical thinking and problem-solving skills.

PO2:Ability to independently carry out research /investigation, development work to solve practical problems and to write / present a substantial technical report.

PO3:Ability to function as a member of a multidisciplinary team with sense of ethics, integrity, and social responsibility.

PO4:Ability to apply the knowledge of computing tools and techniques in the field of Computer Science and Artificial Intelligence for solving real world problems which meets the needs of the industry using emerging technologies.

PSO1: An ability to think critically and apply appropriate logic, analysis, judgment and decision making and to function as an effective member or leader of engineering teams to achieve common goals.

PSO2:Students should be able to demonstrate a degree of mastery over the area of computer science and Artificial Intelligence Technology.

Course Structure


R25 -Course Structure

Program &

its Features

The program has a strong connect with Industry and offers a project-based curriculum that caters to industry needs.

Excellent award winning and caring faculty to supervise and impart knowledge on new technologies.

Flexibility to set your own schedule or the sequence of courses to tailor to your interests.

Provides an environment of transition from engineering concepts and theory to real engineering problems by applying computing theory, languages, algorithms, mathematical and statistical models, and engineering for research, design and development of novel products and solutions.

Heavy emphasis on hands-on practice with recent tools and technology as part of lab, programming, assignments and course projects.

Comprises of talks, lab work, case studies and projects dispersed over the academic work

The faculty of SRU prepares the student to demonstrate professionalism, team spirit and remain continuously employable.

CAREER OPPORTUNITIES

Programming and software development

Information systems operation and management

Telecommunications and networking

Computer science research

Web and internet

Image processing, graphics and multimedia

Training and support

Data mining specialists

Computer industry specialists

ADMISSIONS OPEN 2023