School of Science and Technology Program
August 31, 2025 2025-09-10 5:51School of Science and Technology Program
School of Science and Technology
Programmes
B.Tech. (CSE)
Programme Level
Undergraduate
Duration
4 Years | 8 Semesters
Overview
The B.Tech in Computer Science and Engineering is a dynamic four-year undergraduate program that blends the core principles of computer science with the practical applications of engineering. The curriculum is carefully designed to build strong foundations in programming, algorithms, data structures, computer architecture, operating systems, and database management systems. Beyond the fundamentals, students explore advanced domains such as artificial intelligence, cloud computing, cybersecurity, and machine learning, enabling them to keep pace with rapidly evolving technologies. By integrating theoretical knowledge with emerging trends, the program ensures graduates are well-prepared for the challenges of the digital era.
To complement classroom learning, the program emphasizes hands-on experience through labs, workshops, industry-driven projects, internships, and hackathons. Students are encouraged to apply innovative problem-solving techniques to real-world scenarios, fostering creativity, teamwork, and leadership skills. With strong industry collaborations and exposure to cutting-edge tools and technologies, the program not only nurtures technical expertise but also cultivates adaptability, communication, and project management abilities. Graduates emerge as skilled professionals ready to pursue diverse career opportunities in software development, research, and technology innovation, or to continue their academic journey through higher studies.
Employability
- Software Developer
- Data Scientist
- Cloud Solutions Engineer
- Cybersecurity Analyst
- Machine Learning Engineer
- System Analyst
- IT Consultant
Advantage
- Builds a strong foundation in core computer science and engineering principles.
- Provides hands-on experience with emerging technologies like AI, Cloud, and Cybersecurity.
- Offers industry-driven projects, internships, and practical learning opportunities.
- Develops essential soft skills such as communication, leadership, and teamwork.
Eligibility
Regular Entry | Duration 4 Years and 8 Semesters
Passed 10+2 or its equivalent examination with 50% marks in Physics, Mathematics and Chemistry/Computer Science with pass marks in English and an overall aggregate of 55% marks in all subjects
Lateral Entry | Duration 3 Years and 6 Semesters
Diploma or B.Sc. degree with minimum 55% marks for direct admission to 2 Year of B.Tech. Programme
B.Tech. (Hons.) CSE with specializations in Artificial Intelligence & Machine Learning, Data Science & Machine Learning and Cyber Security.
Programme Level
Undergraduate
Duration
4 Years | 8 Semesters
Overview
The current IT industry is very dynamic. Its horizons are broadening day by day and newer avenues and opportunities are coming up very rapidly. As a result, the work culture in the industry has become more demanding requires adaptability. To be employable in the industry a student is required to not just graduate from college with a degree but is expected to remain updated and skilled with trending practices. IT industry is in immediate need of engineering graduates who can quickly adapt to the world of this dynamic computing.
At the same time development practices within organizations are continuously being renewed to create and deliver software products with the highest possible efficiency. In B.Tech in Computer Science and Engineering program, the students are offered courses in trending technologies like Artificial Intelligence and Machine Learning, Data Science, and DevOps. This enables students to understand the future of computer technology and develop the required industry-needed skills. Additionally, students are able to imbibe professional practices and be hands-on with real-world industry experience as they graduate from college.
Students get industry insights on newer technologies, right from the beginning of the course. Industry experts also deliver guest lectures and students gain hands-on experience through experiential learning. With these in-demand skills, computer science students can prepare themselves in advance and enhance their chances of high-paying jobs in the industry.
Employability
- Artificial Intelligence and Machine Learning:Â Machine Learning Engineer, Artificial Intelligence Engineer, Deep Learning Engineer, Software Engineer, Computer Network Architect, Natural Language Processing Engineer, etc.
- Data Science and Machine Learning:Â Business Intelligence Analyst, Data Mining Engineer, Data Architect, Data Scientist, Data Analyst, Data Engineer, Financial Modeler, Big Data Engineer, Database Administrators etc.
- Cyber Security:Â Cyber Security Architect, Information Security Lead, Cyber Security Engineer, Network Security Engineer, Technical Lead, Cyber Security Analyst, Network Security Engineer etc.
Eligibility
Regular Entry | Duration 4 Years and 8 Semesters
Passed 10+2 or its equivalent examination with 50% marks in Physics, Mathematics and Chemistry/Computer Science with pass marks in English and an overall aggregate of 55% marks in all subjects
Lateral Entry | Duration 3 Years and 6 Semesters
Diploma or B.Sc. degree with minimum 55% marks for direct admission to 2nd Year of B.Tech. Programme
Programme Level B.Tech (Hons) CSE with specialization in Artificial Intelligence and Machine Learning, Data Science and Machine Learning and Cyber Security | Duration 4 Years and 8 Semesters
Passed 10+2 (Class XII) examination with Physics, Mathematics and Chemistry / Computer Science / Information Technology and obtained at least 60% marks as aggregate in 12th class from a recognized Board.
B.Sc. Data Science (Honours / Honours with Research)
Programme Level
Undergraduate
Duration
3 Years | 6 Semesters , 4 Years | 8 Semesters
Overview
B.Sc. Data Science curriculum is designed to equip the students with the necessary tools, techniques, and skills in mathematics, statistics, and computer science allowing them to fully understand the principles of data mining, predictive modeling, big data analytics, machine learning and data visualization. By studying these critical areas students will be able to develop their expertise in data science and gain ability to analyze data effectively and make informed decisions.
Employability
- Data Architect
- Data Administrator
- Business Intelligence Manager
- Data Scientist
- Data Analyst
Advantage
- Help students to gain job-specific skills and knowledge required in the field of data science.
- Diverse career paths, such as finance, healthcare, retail and many others.
- Internship opportunities and projects help students understand corporate culture and requirements.
- Well-equipped labs offer students access to new technologies and opportunities for data analysis and interpretation.
Eligibility
Passed 10+2 with an aggregate of minimum 50% marks in any discipline with Mathematics as an essential subject
Bachelor of Computer Applications (BCA) (Honours / Honours with Research)
Programme Level
Undergraduate
Duration
3 Years | 6 Semesters , 4 Years | 8 Semesters
Overview
Bachelor of Computer Application (BCA) enables you to learn basics of computer applications and software development and prepares you to become a programmer. A great choice to build career in IT industry, as the programme teaches you design and development of mobile and web applications as you learn languages like Python, Java, php, C, C++, Android, etc.
Additionally, students will expose themselves to database management systems, JSP, Networking theory, Software Engineering theory, AI&ML, Cryptography, IoT, etc.
At the end of the course students will be able to apply for jobs in the IT industry or go for higher studies with courses such as Master of Computer Applications (MCA). The course aims to provide students with a blend of practical and technical knowledge, making them well-prepared for the demand of industry. The curriculum of the program is regularly updated to ensure that students are exposed to latest technologies and trends in the field to keep-up with the fast-paced changes in the industry.
Employability
- Software Developer
- Web Developer
- Mobile App Developer
- Computer Programmer
- Computer Operator
- Computer Application Tutor
- Senior Application Support Analyst
- Business Analyst
- IT Support
- Entrepreneur
Advantage
- Help students to gain job-specific skills and knowledge required in the field of data science.
- Diverse career paths, such as finance, healthcare, retail and many others.
- Internship opportunities and projects help students understand corporate culture and requirements.
- Well-equipped labs offer students access to new technologies and opportunities for data analysis and interpretation.
Eligibility
Passed 10 and 12 standard in any discipline with an aggregate of minimum 50% marks
Master of Computer Applications (MCA)
Programme Level
Postgraduate
Duration
2 Years | 4 Semesters
Overview
Master of Computer Applications (MCA) is a 2-year professional program offered, which aims to provide students with extensive understanding of the advanced topics of computers and lays a strong emphasis on practical skills that are required in the field. The curriculum of the program is constantly revised to align with the latest industry trends and advancements. It covers wide range of topics like data structure and algorithms, computer networks, software engineering, Artificial Intelligence and Data Mining, Cloud Computing and more to ensure that the students receive contemporary and inclusive cognizance to attain success in ever-evolving technological field.
The program consists of interdisciplinary learning including important soft skills like critical thinking, adaptability, leadership, communication, problem-solving etc. providing the students with a unique combination of technical expertise and interpersonal abilities to help students to be more well-rounded, versatile and stand-out in the competitive job market.
Employability
- Application Developer
- Systems Analyst
- Cloud Architect
- Web Designer/ Developer
- Software Developer or Software Programmer
- Hardware Engineer
- Data Scientist
- Database Engineer
- Business Analyst
- Technical Writer
- IT Architect
- Software Consultant
- Social Media Manager
- Ethical Hacker
- Quality Assurance Analyst
- Project Manager
Advantage
- Understand cyber regulations, responsibilities and norms of ethical computing practice.
- Build effective computing skills, professional competence and leadership to efficiently manage projects for multidisciplinary environments.
- Carry out research to provide solutions for complex computing problems
- Documentation, reports comprehension, writing effective reports, making presentations, and articulating instructions.
Eligibility
Passed BCA or Bachelors Degree in Computer Science Engineering or equivalent. Obtained at least 50% marks (45% marks in case of candidates belonging to reserved category) OR. Passed B.Sc. with Mathematics and has obtained at least 50% marks (45% marks in case of candidates belonging to reserved category) OR B. Voc. in Computer Science and has obtained at least 50% marks (45% marks in case of candidates belonging to reserved category)
Diploma in Biomedical Engineering
Programme Level
Diploma
Duration
3 Years | 6 Semesters
Overview
SRHU School of Science & Technology offers 3 Year Diploma in Biomedical Engineering for the students who are interested in pursuing careers in the field of health sciences, incorporating modern technologies. The curriculum comprises of engineering mathematics, engineering chemistry, Computer and IT, basic electronics, medical sensors and measurement techniques, entrepreneurship etc. It focuses on developing practical skills through laboratory exercises to help students become skilled technologists who can effectively communicate and apply their knowledge in the medical and healthcare industries. The Programme emphasizes on building a strong command of biomedical principles and technical approaches through research projects, workshops, seminars, projects, group activities, field projects etc., also providing first hand knowledge to the students in designing, developing & improving medical equipment used in the healthcare industries.
Employability
- Hospital - Biomedical Technicians
- Engineering Firms - Biomedical Engineers and Sales & Service Engineers
- Medical and Healthcare Organizations- Application Engineer
- Biomedical software application companies as Content & Application Developer
- Academic Institutions-Lab Technicians
Advantage
- Apply knowledge of modern biological principles in engineering design process.
- Apply principles and problem-solving techniques of engineering to biology and medicine.
- Design, develop and improve the medical devices for diagnosis, operation and treatment of diseases and other health ailments.
- Articulate and effectively communicate with the engineering and medical community.
Eligibility
Regular Entry
Passed High school (class X) or its equivalent examination from any recognized Institute/Board with a minimum of 45% aggregate marks. Must have studied science and mathematics at High School level. Duration 3 Years.
Lateral Entry
Passed ITI (2 Years duration) / 10+2 examination with science streams or its equivalent from any recognized Institute/Board. Duration 2 Years.
M.Tech. (CSE)
Programme Level
Postgraduate
Duration
2 Years | 4 Semesters
Overview
The field of Computer Science and Engineering (CSE) is evolving rapidly, driven by advancements in artificial intelligence, cyber security, data science, and cloud computing. M.Tech. in CSE is a postgraduate degree designed to provide students with in-depth technical knowledge, hands-on experience, and research opportunities in various specialized areas of computing. This program is ideal for those aspiring to build a career in research, academia, or industry-leading technology firms. M.Tech. (CSE) programme enable, students to gain expertise in cutting-edge technologies, problem-solving skills, and the ability to develop innovative solutions for complex computational problems. Additionally, the degree provides opportunities for collaborations with top research institutions, government agencies, and multinational companies, making it a valuable choice for career growth.Employability
- Software Development
- Research and Development
- Artificial Intelligence
- Data Science
- Cyber Security
- Academia
- Entrepreneurship
Advantage
- Gain advanced technical knowledge in computer science and engineering.
- Gain problem-solving and analytical skills to tackle real-world computational challenges.
- Engage in research and innovation, contributing to technological advancements.
- Enhance career opportunities in academia, industry, and government sectors.
- Pursue entrepreneurial ventures by leveraging technical and management expertise.
