M.SC. MASTER OF SCIENCE
Specializations:
Computer Science
Computer Science with Artificial Intelligence & Machine Learning
Applied Mathematics
Want to master the core of computing?
This program gives you a solid foundation in computer science, from algorithms to system design. It’s perfect for students who want to build strong technical skills and explore research or industry roles.
Deep dive into software development and systems.
Project-based learning and academic research to enhance problem-solving skills.
Supportive faculty and a collaborative learning environment encouraging innovation.
Software Developer
System Analyst
IT Consultant
Combine the power of computing with the intelligence of machines.
This program blends traditional computer science with the exciting world of Artificial Intelligence and Machine Learning. You’ll explore smart systems, robotics, and emerging technologies that are shaping the future.
Specialized courses in AI, ML, and intelligent systems to master advanced technologies.
Access to advanced laboratories and research centers supporting innovation and experimentation.
Interdisciplinary learning with real-world applications across domains such as automation, data science, and intelligent systems.
AI Developer
Machine Learning Engineer
Tech Innovator / Researcher in Smart Systems
The MSc Applied Mathematics program is crafted to strengthen both theoretical and practical capabilities in mathematics. Through a curriculum combining rigorous foundations with applied components, students learn to formulate and solve mathematical models arising in physics, engineering, biology, finance, and other disciplines.
Comprehensive foundation in differential equations, real and complex analysis, and functional analysis.
Applied training in numerical methods, optimization, and computational modelling.
Opportunities for project work, collaborations, and seminars with research exposure.
Research and Development in Academia or Industry
Computational Scientist or Mathematical Modeler
Data Analyst or Quantitative Researcher
The MSc Statistics program provides in-depth education in statistical theory, inference, stochastic modelling, multivariate techniques, and computational statistics. Students learn to design experiments, analyze large and complex data sets, and interpret uncertainty in real-world settings.
Strong foundation in probability theory, statistical inference, and multivariate analysis.
Training in computational statistics and data-driven problem solving using modern software tools.
Focus on both theoretical rigor and real-world application in data analytics, biostatistics, and finance.
Data Analyst or Statistician
Biostatistician or Quantitative Analyst
Research Scientist in Government or Private Sector
2 years (4 semesters)
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.
Semiconductor Fabrication
Industrial Automation
Telecommunications
Robotics and Automation
Software Development
PEO1. To produce competent professionals with strong theoretical and practical knowledge in computer science and emerging technologies.
PEO2. To encourage innovation, research, and entrepreneurship addressing real-world challenges through computational solutions.
PEO3. To instill ethical values, leadership qualities, and adaptability for successful careers in academia, industry, or research organizations.
Students who complete the M.Sc (Computer Science) program will be able to:
PO1. Apply advanced computing and analytical skills to solve complex real-world problems effectively.
PO2. Design, implement, and evaluate computer-based systems using modern tools and technologies.
PO3. Demonstrate professional ethics, teamwork, communication, and lifelong learning in multidisciplinary environments.
PO4. Conduct independent research, interpret data, and present findings in emerging areas of Computer Science and Artificial Intelligence.
PSO1. Develop software and intelligent systems using programming, data analytics, and machine learning concepts.
PSO2. Apply computational thinking and research methodologies to innovate solutions in domains such as data science, networking, and cloud computing.
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.
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
