Welcome To
The SRHU School of Science & Technology (SST) is a future-focused learning ecosystem where scientific knowledge is transformed into practical skills and innovation. Rooted in the legacy and values of His Holiness Swami Rama, SST integrates classroom learning with laboratory experimentation, coding, research, hands-on projects, and technology-enabled education.
With a strong focus on emerging domains such as AI, Data Science, Cybersecurity, Cloud Computing, and IoT, SST prepares students for evolving industry, research, and global career opportunities through experiential and application-oriented learning.
Guided by the spirit of LifeKaCompass - guiding direction and shaping purpose - SST nurtures scientific thinking, innovation, and application-oriented learning through interdisciplinary education, technology integration, and real-world problem-solving, preparing students to contribute meaningfully to industry and society.
VISION
To be recognized as a distinguished school for the development of cutting-edge technology and innovation in emerging areas of science, engineering, technology and allied disciplines.
MISSION
To create highly skilled professionals for addressing the problems of industry and society through teaching and research in the areas of science, engineering, technology and allied disciplines.
VALUES
Integrity, Excellence, Inclusivity, Compassion, Altruism
Prof. (Dr) Pramod Kumar,
Professor & Dean
At the School of Science & Technology, education goes beyond theory to foster critical thinking, innovation, and social responsibility. Through mentorship, internships, entrepreneurship, experiential learning, research, industry engagement, and emerging technologies including AI, Machine Learning, Data Science, Cybersecurity, Cloud Computing, and IoT, SST prepares future-ready professionals for industry, research, entrepreneurship, and meaningful societal impact.
Business Advisory Council (BAC)
The School of Management Studies is guided by an eminent Business Advisory Council comprising distinguished leaders from industry and academia who bring strategic insight, industry relevance, and global perspective to the School's academic and professional ecosystem.
International Faculty & Industry Advisors
SMS is further supported by global faculty and industry leaders who bring contemporary expertise, international perspectives, and strong industry exposure to the learning experience.
SST faculty bring expertise across Computer Science, AI & ML, Data Science, Cybersecurity, Cloud Computing, Electronics, IoT, and Animation & Design. Through research, innovation, industry engagement, and interdisciplinary collaboration with the Himalayan Institute of Medical Sciences, faculty mentor students in projects, hackathons, and emerging technology applications.
Faculty achievements include externally funded AI projects such as AURA, AquaSensiAI, and HistoAI, led by Dr Neelmani, Professor, in collaboration with international and industry partners. Dr Gunjan Chhabra, Associate Professor, has been recognised in the Elsevier-Stanford World Top 2% Scientists List (2025).
-
Prof (Dr) Pramod KumarProfessor & Dean
Experience: 10 years
Qualification: Ph.D. (Computer Science), M. Tech. (CSE)
Teaching & Research Experience:25 years
Industrial Experience: 01 years
Publication: Paper Published-80
Patents: 107
Special Interest:Internet of Things, AI & Machine Learning
-
Mr Harvinder MalhotraProfessor
Academic Qualifications: Mr. Malhotra holds MS Computer and Information Science degree from Syracuse University Newyork, and a Bachelor of Applied Science (Computer Science) degree from Punjab University.
Professional Background: Mr. Malhotra has over 25 years of experience in the IT industry, working with leading global companies such as Microsoft, Google, Facebook UHG and Pfizer. He has led large-scale digital transformation projects, delivered innovative solutions, and mentored teams across various domains and geographies.
Research Interests: Mr. Malhotra is passionate about exploring the intersection of technology, business, and society. He has published several papers and articles on topics such as artificial intelligence, blockchain, cloud computing, cybersecurity, and social media. He is also a frequent speaker at industry events and academic forums.
Teaching Philosophy: Mr. Malhotra believes in creating a stimulating and interactive learning environment for his students, where they can apply their theoretical knowledge to real-world problems and scenarios. He aims to equip his students with the skills and mindset to become successful leaders and innovators in the digital era.
-
Dr Neel ManiProfessor
Qualification:Ph.D. (CSE), M.Tech (CS)
Teaching and Research Experience: 12 years
Publications: 45
Patents: 20
Area of Interest: Artificial Intelligence
-
Dr Deepak SrivastavaAssociate Professor
Qualification: Ph.D. (CSE), M.Tech (CSE), B.Tech (IT),
Teaching and Research Experience: 11 years
Publication: 27 (Paper Publications), 1 (Book Published)
Patents: 14
Area of Interest: Data Science, Cloud Computing
Award: Award from Ministry of Education and AICTE exceptional contribution as Primary Evaluator in Toycathon, 2021.
-
Dr Gunjan ChhabraAssociate Professor
Qualification: Ph.D. (CSE), M. Tech (CSE) with specialization in AI & ANN ,B. Tech (CSE),
Teaching and Research Experience: 11 years
Publication: 108 Publication includes journal articles (SCOPUS, SCIE), Conferences articles and book chapters indexed in SCOPUS database
Area of Interest: Learn and apply cutting-edge technologies such as artificial intelligence, machine learning, image processing and others to solve the real-world problem. Additionally, my interest includes sports and fitness activities.
Awards: Received Research awards in two consecutive years 2018 & 2019 at UPES. Received Research awards in two consecutive years 2023 & 2024 at GEHU.
-
Dr Ashutosh BhattAssociate Professor
Qualification: Ph.D. (CSE), M.Tech (CSE), B.Tech (IT)
Teaching and Research Experience: 16 years
Publications: 30+ Research Paper in SCI/SCOPUS/UGC Care, 1 Scopus Edited Book, 6 Scopus Book chapter
Area of Interest: Cloud Computing, Data Structure, Python
Awards: Teacher of the Year 2020 award by Divya Himgiri.
-
Dr Rohit KanauziaAssociate Professor
Qualification: Post-Doctoral (Pursuing), Ph.D, M.Tech., B.Tech.,
Teaching & Research Experience: 11 years
Industrial Experience: 2 years
Sponsored Research Project Completed/Ongoing: 07
Publication: 35 including Journal, Conferences and Book Chapters
Special Interest: 1. Artificial Intelligence and Machine Learning Applications 2. Data Science and Intelligent Analytics
Membership: 1. Vigyan Bharti Uttarakhand 2. Advisory Board Member and Consultant – Zoptal Solutions Pvt. Ltd, Mohali.
Awards: 1. Teaching Titan Recognition by Chandigarh University, Mohali, 2025 2. Teacher of the Year: Honored by Chief Minister of Uttarakhand, VMSBUTU, Dehradun, 2022 3. Research Award, Research Excellence by COER University, Roorkee, 2023 and 2022.
-
Dr Vibhor SharmaAssociate Professor
Qualification: Ph.D (CSE), M.Tech. (CSE), B.Tech. (CSE),Diploma (Information Technology)
Teaching & Research Experience: 11 years
Publications:35
Area of Interest:IoT, Data Mining.
Awards:Silver: Medalist in Post-Graduation.
-
Dr Anupama MishraAssistant Professor
Qualification: Ph.D. (Computer Science), M.Tech (CSE), MCA, B.Sc. (PCM)
Teaching & Research Experience: 14 years
Publication: 12 Journals, 16 Conferences, 2 Book Chapters
Patent: 1
Area of Interest: Cyber Security, Network
Membership: IEEE, ACM, Life Member ISTE, IEEECTSoc (IEEE Consumer Technical Body)
Awards: Best review award by the journal ICT Express published by Elsevier and Korean Institute of Communication and Information Sciences (KICS), 2022 * Best Paper award in an International Conference on Cyber Security, Privacy and Networking (ICSPN 2021)
-
Mr Gaurav SharmaAssistant Professor
Qualification: Ph.D., M.Tech, B.Tech
Teaching & Industrial Experience: 15 Years
Publication: 4 Journal, 4 Conference
Area of Interest: Deep Neural Networks, Generative Adversarial Networks, Large Language Models, Web Technologies, E-Commerce, Scripting Languages, Computer Networks, C# Programming, PHP, Intrusion Detection, Image and Video Processing, Search Engine Optimization, Web Crawling and Web Scraping, Data Communication and Computer Networks, Design Thinking
-
Dr Pooja BaloniAssistant Professor
Qualification: Ph.D., M.Tech, B.Tech (CSE)
Teaching & Research Experience: 16 Years
Industrial Experience: 08 years
Publication: 30 Paper Publication, 2 Book
Area of Interest: Networks and Machine Learning and Data Mining
Awards: Best Young Researcher Award: Global Education and Corporate Leadership (GECL -2022) Awards, 5th International Annual Award Summit by LWT India.
-
Dr Swati RawatAssistant Professor
Qualification: B.TECH (I.T) , M.TECH (CSE) , Ph.D
Teaching & Research Experience: 14 years
Patent: 12
Area of Interest: AI, Blockchain, Information Security, Wireless Network, IPR
Awards : Innovative Teacher Award, IARDO Educational Excellence Award-2022, International Association of Research and Developed Organization, Best Research Award for the Year 2022,GEHResearch, Japan, Virtual International Awards on Multi-Disciplinary Research and Innovation
Publication: 22
-
Dr Suman PantAssistant Professor
Qualification: Ph.D. (Computer Science), M.Tech (IT)
Teaching & Research Experience: 14 years
Publications: 12
Patents: 5
Area of Interest: Fractals, Database, Data Structure.
-
Dr Shiv PreetAssistant Professor
Qualification: Ph.D. (Computer Science), M.Tech (CSE), MCA, UGC-NET
Teaching& Research Experience: 6 years
Area of Interest: Prompt Engineering, Machine learning
Publication: 7
-
Mr Gaurav AggarwalAssistant Professor
Qualification: Ph.D. (Pursuing), M.Tech, B.Tech
Teaching& Research Experience: 17 years
Area of Interest: Programming Languages (C, JAVA, C#.Net, Python), Machine Learning(ANN, CNN, DNN)
Publication: 10
-
Mr Satyendra Singh RawatAssistant Professor
Qualification: Ph.D (Pursuing), M.Tech. (CSE), B.E. (CSE)
Teaching& Research Experience: 17.5 years
Publication: 10
Area of Interest: AI, Machine Learning, Deep Learning, Cloud Computing
Award: NPTEL Certified in courses: Machine Learning, DeepLearning, Cloud Computing (topper in top 2% Category).
-
Mr Sanjay KumarAssistant Professor
Qualification: PhD (CS)-Pursuing, M. Tech. (CS), B.Tech. (CSE), NET 2024 - Qualified
Teaching & Research Experience: 7 Years
Area of Interest: Cloud Computing, Virtualization, Data Centre, IT Security, Web Technology, Data Science, AI/ML, C Programming
Publication: 05
Awards: Best Executive Awarded by BHEL Haridwar in the year 2016-17. IMPRESS Award by BHEL Hyderabad in the year 2011 with IP (Intellectual Property) Score: 545.
-
Ms Princy TyagiAssistant Professor
Qualification: B.Tech (I.T.), M.Tech (CSE), Ph.D. (Pursuing)
Teaching & Research Experience: 10 Years
Patent: 4
Area of Interest: Ad-Hoc Networks & MANET, Machine Learning & Artificial Intelligence, IoT & Wireless Sensor Networks
Publication: 12 Papers, 3 Book Chapters
-
Shivani PantAssistant Professor
Qualification: B.E. (CSE), M.Tech. (CSE), Ph.D. (Pursuing)
Teaching & Research Experience: 5+ Years
Publication: 10
Area of Interest: Database Management System, Machine Learning, Computer Networks
-
Ms Vaishali GuptaAssistant Professor
Qualification: B.E. (CSE), M.E. (CSE)
Teaching & Research Experience: 7.5 Years
Publication: 3
Area of Interest: Coding, Database Management System, Computer Networks, Artificial Intelligence (AI)
-
Ms Shivani SharmaAssistant Professor
Qualification: M.Tech. (CSE), B.Tech. (IT)
Teaching & Research Experience: 6 Years
Publication: 2
Area of Interest: Data Science, Machine Learning
-
Ms Shefali KhatriAssistant Professor
Qualification: B.Tech. (IT), M.Tech. (CSE), Ph.D. (CSE, Pursuing)
Teaching & Research Experience: 7 Years
Publication: 4 Papers and 1 Book
Patents: 1
Area of Interest: Machine Learning, Deep Learning, Security, Healthcare, Data Structures
Awards: Best Faculty Award by Uttaranchal University.
-
Mr Radhe ShankarAssistant Professor
Qualification: M.Tech., B.E.
Teaching & Research Experience: 1 Year
-
Mr Kamalpreet SinghAssistant Professor
Qualification: Ph.D. (Pursuing), Master of Information Technology (AI, University of Melbourne, 2021), Master of Engineering (Information Security, PEC Chandigarh, 2013), B.Tech. (Computer Science & Engineering, GNDEC Ludhiana, 2011)
Teaching & Research Experience: 8 Years
Publication: 3
Area of Interest: AI for Social Good, Applied Machine Learning, Cybersecurity, Smart City Analytics, Natural Language Processing (NLP)
Awards: UGC-NET (2015), Multiple GATE Qualifications (2010–2017), NPTEL Gold Medal in Python (2019)
-
Mr Rachit LakheraLecturer
Qualification: MCA
Teaching & Research Experience: 12 Years
Area of Interest: Computer Networks, Computer Architecture, Operating Systems, Software Engineering
-
Ms Simranjeet KaurLecturer
Qualification: MCA (Specialization in Artificial Intelligence & Machine Learning), BCA
Teaching & Research Experience: 5 Months
Area of Interest: Artificial Intelligence, Machine Learning
-
Dr Ashutosh Kumar ChoudharyAssociate Professor
Qualification: Ph.D. (IIT Roorkee), M.Sc. (Environmental Science), GATE, UGC-NET
Teaching & Research Experience: 13 Years
Publication: 21
Area of Interest: Wastewater Treatment, Phytoremediation, Water Conservation
Awards: Awarded for Outstanding Contribution in Reviewing for Journal of Cleaner Production (Elsevier) in 2017. Junior Research Fellowship, Ministry of Environment & Forest (2008-2011).
-
Dr Vivek KatiyarAssociate Professor
Qualification: Ph.D. (Mathematics), M.Sc. (Mathematics), B.Ed., B.Sc.
Teaching & Research Experience: 14 Years
Publication: 6
Area of Interest: Operations Research, Integral Equations
-
Ms Neelam DanuAssociate Professor
Qualification: M.A. (Sociology), UGC-NET
Teaching & Research Experience: 4 Years
Publication: 4
Area of Interest: Social Issues, Sociology, Computer Ethics, Technology and Society, Ethical Digital Engagement
Why Choose SMS
Download School Brochure-
Undergraduate program
B.Tech. Computer Science & Engineering
The programme prepares students for the evolving technology landscape through strong computational foundations, experiential learning, coding practice, industry exposure, and hands-on experience in emerging technologies. Offered as B.Tech. CSE and B.Tech. (Hons.) CSE and aligned with NEP 2020, the programme develops technical expertise, problem-solving ability, and industry-ready skills for global technology careers.
Specialisations
- Artificial Intelligence & Machine Learning
- Data Science & Machine Learning
- Cyber Security
- Generative AI
- Cloud Computing & MLOps
-
Undergraduate program
B.Tech. Electronics & Communication Engineering (ECE)
The programme builds strong foundations in electronics, communication systems, and semiconductor technologies with specialised learning in VLSI, embedded systems, and chip design. Through laboratories, internships, and hands-on learning, students gain exposure to emerging areas including AI-assisted design, IoT, and hardware security, preparing for careers in semiconductors, telecommunications, and electronics industries.
Specialisations
- VLSI Design
-
Undergraduate program
B.Des. Animation & VFX / Game Design
The programme prepares students for careers in animation, VFX, gaming, and digital media through studio-based learning and hands-on projects. Combining design thinking, visual storytelling, game creation, and immersive technologies with internships and industry exposure, students graduate with professional portfolios and industry-ready creative skills.
-
Undergraduate program
Bachelor of Computer Applications (BCA)
The programme builds strong foundations in computer applications, programming, and software development through hands-on learning in web and mobile technologies. Offered as BCA, BCA (Honours), and BCA (Honours with Research) under NEP 2020, it integrates emerging areas including AI & ML, IoT, Networking, and Software Engineering to prepare students for careers in IT and higher studies.
-
Undergraduate program
B.Sc. Data Science
This NEP 2020-aligned programme builds strong foundations in data science, statistics, and computing with exposure to data analytics, machine learning, visualisation, and AI-driven decision-making. Through hands-on and industry-oriented learning, students develop analytical and problem-solving skills for data-driven careers across emerging sectors.
-
Undergraduate program
B.Sc. Animation, VFX & Gaming
The programme builds strong foundations in creative design, visual storytelling, animation, VFX, and interactive media through hands-on, project-based learning. Students gain industry exposure in 2D & 3D animation, game design, motion graphics, and immersive technologies while developing professional portfolios and creative skills for evolving digital media careers.
-
Postgraduate program
MCA - Master of Computer Applications
The programme provides advanced knowledge in computer applications, software development, and emerging technologies through an industry-responsive curriculum covering AI, Cloud Computing, Data Mining, Software Engineering, and related areas. With hands-on learning and industry exposure, students develop technical expertise, problem-solving, and professional skills for dynamic careers in IT and emerging technology sectors.
-
Postgraduate program
M.Tech. Computer Science & Engineering (CSE)
This research-oriented programme provides advanced knowledge and hands-on expertise in Artificial Intelligence, Cyber Security, Data Science, and Cloud Computing. Through research, industry collaboration, and interdisciplinary learning, students develop analytical and innovation capabilities for careers in academia, research, and technology-driven industries.
-
Postgraduate program
Doctoral Programme (Ph.D)
A research-intensive Ph.D. programme focused on innovation, interdisciplinary inquiry, and technology-driven problem-solving across areas including AI, Machine Learning, Data Science, Cybersecurity, IoT, Cloud Computing, and Blockchain. Supported by advanced laboratories, Centres of Excellence, expert mentorship, and industry collaboration, scholars engage in publications, patents, and impactful research for careers in academia, industry, and innovation.
Learning Beyond the Classroom
SST enriches learning through guest lectures, seminars, workshops, hackathons, and expert interactions that expose students to emerging technologies and industry practices. National and international engagements, hands-on technical training, and innovation initiatives strengthen practical skills, creativity, and readiness for competitive and professional environments. Some of the academic initiatives include 5th IEEE International Conference - IoT~SIU) 2025, International Symposium - AI and the Future of Work: Reimagining Jobs, Skills, and Society, Indian Defence Conclave and many more.
Competitive initiatives such as TechForge 2.0 (internal hackathon for Smart India Hackathon preparation) and UDHBHAV-2025 (organized in collaboration with the Government of Uttarakhand's AI Mission) cultivate innovation and national-level readiness.
Our Pedagogy Pillars
A future-ready approach that blends academic excellence with real-world exposure, innovation, and responsible leadership.
OUR EXPERIENCE ECOSYSTEM
Learning.
Experiencing.
Excelling.
A connected journey that transforms learning into real-world impact.
Industry Interaction
Learn directly from CXOS, entrepreneurs, and global academicians.
Experiential Learning
Apply classroom concepts through real-world business challenges.
Industry Certifications
Gain industry-recognized certifications alongside academic learning.
BUSINESS SIMULATION & AI LEARNING
Practice Business Before You Enter It
Students engage in business simulations, consulting assignments, analytics workshops, and AI-powered decision-making exercises that mirror real corporate environments.
INNOVATION, RESEARCH & SIMULATION ECOSYSTEM
Industry-integrated labs and centres that empower students to learn, research, simulate and innovate with confidence
Centre of Excellence in AI & Data Insight (CE-AIDI)
SST's dedicated hub for AI, machine learning, and data analytics, supported by advanced GPU-enabled infrastructure, industry-standard labs, faculty mentorship, and collaborative research. The Centre enables high-performance computing, project-based learning, and development of AI-driven solutions across healthcare, education, and industry.
IoT & Drone Laboratories
Dedicated laboratories offering hands-on learning in IoT, automation, smart systems, sensor technologies, and drone design, with applications across smart agriculture, healthcare, and urban infrastructure.
Animation & Creative Media Labs
Industry-equipped laboratories supporting hands-on learning in 2D/3D Animation, VFX, Game Design, Motion Graphics, and Digital Media through real-world creative projects and professional production workflows.
Interdisciplinary Research with HIMS
In collaboration with Himalayan Institute of Medical Sciences, SST advances technology-enabled healthcare research in AI, deep learning, medical imaging, predictive analytics, and data-driven diagnostics for improved clinical outcomes.
Grants, Innovation & Achievements
SST students and faculty actively participate in innovation and entrepreneurship initiatives. Eight SST student projects were selected for the prestigious Electropreneur Open Challenge 2.0 (Government of India) for Pre-Incubation at STPI and IIIT Delhi, securing a total seed funding of ₹8 Lakhs. Also, Externally funded research projects include AURA AquaSensiAI (AI-based Water Quality Monitoring), and HistoAI (Digital Repository for Contextual Analysis) — supported by industry partners from Australia and India.
The ACIC–SRHU Innovation and Incubation Centre (ACIC-SIIC) nurtures student, faculty, and external entrepreneurs through mentorship, incubation support, funding access, industry connect, and guidance in product development, commercialisation, and innovation.
-
Ideate
From problems
to possibilities -
Mentor
Business model
mentoring -
Validate
Market research &
validation -
Prototype
Build, test &
iterate -
Launch
Investor readiness
& growth support
- Incubation Support
- Workspace Access
- Expert Mentoring
- Investor Connect
Eight SST Student Projects
SilentNode, Drivion Solutions, AeRon, AstraVigil, Durgam, CellVeda, SmartYug IoT, and Ecoflux — were selected by STPI's Electropreneur Park under the Ministry of Electronics & IT, among the highest selections from any university in the region.
-
Faculty Mentorship
Guidance from experienced faculty and entrepreneurs
-
Startup Incubation
Structured support to build, launch and scale
-
Industry Guidance
Insights and mentorship from industry leaders
Exposure & Opportunities
Annual Pitch Fest Showcase ideas. Win opportunities.
Investor Interactions Connect with investors and venture capitalists.
Business Advisory Council Guidance from industry leaders.
Our Partners & Networks
SMS offers a wide range of scholarships and financial assistance programmes to ensure deserving students have access to quality education. Merit scholarships of up to 100% are available for outstanding academic performance, with additional support through merit-cum-means scholarships for students from economically weaker backgrounds.
Special scholarships are offered for transgender students, differently-abled students, and wards of Armed Forces, Paramilitary, and Police personnel. Freeship opportunities for orphan students and fee concessions for wards of SRHU staff members further strengthen the university's commitment to accessibility, inclusion, and educational opportunity for all.
| PROGRAM FEE | PROGRAMS | ||||||
|---|---|---|---|---|---|---|---|
| UG | PG | ||||||
| Fee Category | BBA |
BBA (Hons.) / BBA (Hons. with Research) |
B.Com |
B.Com (Hons.) / B.Com. (Hons. with Research) |
BBA (Tourism & Wellness Management) |
MBA | |
| (3 Years) | (4 Years) | (3 Years) | (4 Years) | (4 Years) | (2 Years) | ||
| INR | INR | INR | INR | INR | INR | ||
| Tuition Fee | Per Semester | 80,000 | 80,000 | 80,000 | 80,000 | 1,00,000 | 1,75,000 |
| Examination Fee | Per Semester | 5,000 | 5,000 | 5,000 | 5,000 | 5,000 | 7,500 |
| Enrollment Fee | One Time | 2,000 | 2,000 | 2,000 | 2,000 | 2,000 | 2,000 |
| Admission Fee | One Time | 15,000 | 15,000 | 15,000 | 15,000 | 15,000 | 25,000 |
| Uniform & Sportswear Fee | One Time | 8,640 | 8,640 | 8,640 | 8,640 | 8,640 | 2,000 |
|
Refundable Security (to be refunded after completion of programme) |
One Time | 25,000 | 25,000 | 25,000 | 25,000 | 25,000 | 25,000 |
|
Supplementary Exam Fee (if applicable) |
Per Course | 2,500 | 2,500 | 2,500 | 2,500 | 2,500 | 2,500 |
| Convocation Fee | One Time | 5,000 | 5,000 | 5,000 | 5,000 | 5,000 | 5,000 |
| Hostel Fee | Per Semester | 54,000 | 54,000 | 54,000 | 54,000 | 54,000 | 54,000 |
Scholarship
- Up to 100% Merit Scholarship- for outstanding students scoring above 90%.
- Merit-Based Support- 75% or 50% fee scholarships available for achievers with 80% and 70%+.
- Merit-cum-Means Scholarship- 50% tuition fee support for students with family income < ₹5 Lakh (min. 70% marks).
- Special Scholarships- for Transgender, Differently-abled, and Wards of Non-Commissioned Officers (Armed/ Paramilitary/Police personnel - serving and retired) (Up to 100% in UG).
- Free-ship for Orphans- one full free seat for the entire duration of the program.
- Legacy & Support Benefits- Fee concession for SRHU staff wards.
Career readiness at SST begins from the first year through internships, industry exposure, mentorship, certifications, and continuous skill development. Students build expertise through platforms such as IBM SkillsBuild, Infosys Springboard, HackerRank, and LeetCode, while the Career Development Hub supports resume building, interviews, career guidance, and professional readiness. Backed by a Four-Pillar Placement Strategy and entrepreneurial support, SST prepares students for future-ready careers.
Professional platforms and student-led chapters such as ACM, IEEE student branch, IEEE Women in engineering, IEEE Robotics and Automation Society, and global technology clubs including MLSA, GDG, WLC and GitHub club encourage innovation, leadership, technical excellence, and international exposure, enabling students to develop future-ready skills while creating meaningful impact.
SMS collaborates with leading organisations and industry bodies to provide students with experiential learning, professional certifications, internships, leadership exposure, and industry-relevant skills.
These collaborations strengthen industry integration through curriculum co-development, live consulting projects, digital and emerging technology exposure, entrepreneurship mentoring, global immersion opportunities, and professional development initiatives.
From Classroom to Corporate World
Our Alumni Stories
SST's growing alumni network spans India and the globe. Alumni talks — including sessions by Mr. Siddhant Rajhans from Stevens Institute of Technology, USA — provide students with real-world career insights, industry perspectives, and motivation to pursue global opportunities. Alumni meetings foster lifelong professional connections and reinforce the value of mentorship, institutional support, and experiential learning.
Placement Highlights
SST supports strong career outcomes through industry partnerships, skill-based training, internships, and dedicated placement support. Graduates secure opportunities across emerging technology roles including Software Engineering, Data Science, AI & ML, Cybersecurity, Cloud Computing, Full Stack Development, DevOps, Analytics, and Consulting.
Students are recruited by leading organisations such as Wipro, Capgemini, TCS, Infosys, Deloitte, Tech Mahindra, Justdial, and other technology and innovation-driven employers.
FLAGSHIP EVENTS
Experiences That Inspire.
Moments That Stay.
Signature events that foster innovation, leadership, dialogue and celebration of ideas.
STUDENT CLUBS
Learn. Lead. Connect.
Diverse clubs. Real experiences. Limitless opportunities.