About Us
Shaping future innovators at SHEAT
The Department of Computer Science & Engineering (M.Tech) at SHEAT College of Engineering was founded in 2008 to address the rapidly increasing global demand for skilled software professionals. The department has made significant progress in academics, research, and innovation, maintaining a 100% admissions rate across programs.
Current sanctioned intake:
- B.Tech – Computer Science & Engineering: 90 seats
- B.Tech – Artificial Intelligence & Machine Learning: 60 seats
- B.Tech – Data Science: 30 seats
- M.Tech – Computer Science & Engineering: 24 seats
Faculty Excellence
The department provides a conducive teaching and learning environment supported by highly qualified and experienced faculty members. Their expertise enables a teaching methodology that effectively integrates theoretical knowledge with practical application.
- Active participation in Faculty Development Programs (FDPs), seminars, and research initiatives.
- Publications in Scopus and SCI-indexed journals.
- Authorship of book chapters and securing patents.
Faculty engaging in research and FDPs
Infrastructure & Facilities
The department is equipped with advanced laboratories and facilities that promote experiential learning.
- Smart classrooms equipped with modern teaching tools.
- Advanced laboratories with the latest software and hardware tools.
- Admitted students are offered responsibility of Teaching Research Scholar with stipend
Modern infrastructure supporting learning
Industry Interaction & Career Building
The department bridges the gap between academia and industry through:
- Consistent workshops, guest lectures, and corporate networking sessions.
- Industry-oriented summer projects and internship opportunities.
- Technical contests and placement-oriented training programs.
These initiatives have resulted in excellent placements across IT, banking, defence, PSUs, and startups. Many students have also qualified for competitive exams such as GATE, CAT, and GRE.
Successful placements and industry collaborations
Our Commitment
The Department of Computer Science & Engineering (M.Tech) at SHEAT College of Engineering is dedicated to advancing the future of technology by equipping students with essential skills for a thriving career. Be a part of our pursuit of excellence and innovation!
Vision & Mission
Guiding principles of the M.Tech Computer Science & Engineering program
Vision
To be recognized as a centre of excellence in advanced computing education and research, producing skilled, innovative, and ethical professionals who contribute to technological advancement and societal development.
Mission
- M1: To provide advanced education and research opportunities in Computer Science that align with global standards.
- M2: To foster interdisciplinary research, innovation, and development in areas such as AI, ML, Data Science, and Cybersecurity.
- M3: To cultivate industry-ready professionals through project-based learning, internships, and collaboration with industry partners.
- M4: To promote lifelong learning, professional ethics, and leadership among students and faculty.
PEOs, POs & PSOs
Educational objectives and outcomes for M.Tech CSE
Program Educational Objectives (PEOs)
- PEO1: Impart advanced theoretical and practical knowledge for careers and research in Computer Science.
- PEO2: Develop the ability to design, evaluate and deploy complex computing systems and research solutions.
- PEO3: Encourage interdisciplinary research, publications, and innovation leading to societal impact.
- PEO4: Nurture leadership, communication, ethical conduct, and lifelong learning among graduates.
Program Outcomes (POs)
- PO1: Apply advanced knowledge of mathematics, computing, and engineering fundamentals to solve complex problems.
- PO2: Conduct literature review, identify research gaps, and formulate solutions using state-of-the-art methods.
- PO3: Design and evaluate algorithms, models, and systems to meet specified requirements considering performance and trade-offs.
- PO4: Perform experiments, analyze results, and draw valid conclusions using scientific methods and tools.
- PO5: Use modern tools, platforms, and programming frameworks for development and research in computing.
- PO6: Understand societal, ethical, and legal implications of computing solutions and act responsibly.
- PO7: Demonstrate teamwork, leadership, and project management skills in multidisciplinary environments.
- PO8: Communicate complex technical information clearly to diverse audiences, both written and oral.
- PO9: Exhibit entrepreneurial thinking and ability to contribute to innovation and startups.
- PO10: Commit to lifelong learning and continuous professional development in computing and allied fields.
Program Specific Outcomes (PSOs)
- PSO1: Ability to design and implement advanced machine learning and AI models for complex problems.
- PSO2: Competence in developing scalable data-driven systems using modern data engineering and cloud platforms.
- PSO3: Capability to carry out high-quality research, publish scholarly work, and translate research into practical solutions.
Course Curriculum
Advanced curriculum for M.Tech Computer Science & Engineering (CSE)
The M.Tech CSE curriculum focuses on advanced topics, research methodologies, and applied projects in areas such as Artificial Intelligence, Machine Learning, Data Science, Cloud Computing, Cybersecurity, and High Performance Computing. Aligned with university regulations, it prepares students for research careers and industry leadership.
Curriculum Highlights
- Advanced core courses: Machine Learning, Advanced Algorithms, Distributed Systems, Advanced OS, Secure Computing.
- Electives in AI, NLP, Computer Vision, Big Data, Cloud & DevOps, Cybersecurity, and IoT.
- Strong emphasis on research methodology, thesis work, and publication-driven projects.
- Industry internships, seminars, and workshops for practical exposure.
| S.No | Program | Branch | Year/Semester | Download |
|---|---|---|---|---|
| 1 | M.Tech | Computer Science & Engineering | 1st Year (Sem I & II) | Download Syllabus |
| 2 | M.Tech | Computer Science & Engineering | 2nd Year (Thesis / Project) | Download Syllabus |
Faculty
Experienced faculty guiding M.Tech research and advanced studies
The M.Tech CSE program is supported by faculty with strong research credentials, Ph.D. holders, and industry-experienced professors. They guide thesis work, supervise research projects, and collaborate on funded research and consultancy.
Faculty Details
| S.No | Name | Designation | Qualification |
|---|---|---|---|
| 1 | Mr. Gunjan Mishra | Head of Department | M.Tech |
| 2 | Mr. Alok Singh | Assistant Professor | M.Tech |
| 3 | Mr. Gaurav Choubey | Assistant Professor | M.Tech |
Laboratories
Research & teaching labs supporting advanced M.Tech coursework
The M.Tech CSE program utilizes specialized laboratories to support advanced coursework, experiments and thesis projects. Labs are equipped for high-performance computing, AI research, secure systems testing, and large-scale data processing.
1. Advanced AI & Deep Learning Lab
- GPU-enabled machines, TensorFlow, PyTorch, Keras.
- Support for large-scale model training and research projects.
2. High Performance Computing (HPC) Lab
- Cluster access, parallel computing frameworks, MPI, Spark.
- Large dataset processing and performance benchmarking.
3. Data Engineering & Big Data Lab
- Hadoop, Spark, Kafka, NoSQL databases and cloud data services.
- Hands-on ETL, streaming data pipelines, and data warehousing experiments.
4. Cybersecurity & Secure Systems Lab
- Pen-testing environment, secure coding tools, network simulators.
- Research in privacy-preserving machine learning and secure ML pipelines.
5. Research & Innovation Lab
- Dedicated space for thesis work, collaborative research, and publications.
- Support for grant proposals, patents, and startup incubation.
Academic Calendar
Plan your academic year with SHEAT & AKTU calendars
Stay updated with the official academic schedules. Download the AKTU Academic Calendar 2025-26 and SHEAT Academic Calendar 2025-26 below.
Academic Calendar Downloads
| S.No | Calendar | Session | Download |
|---|---|---|---|
| 1 | AKTU Academic Calendar | 2025-26 | Download |
| 2 | SHEAT Academic Calendar | 2025-26 | Download |