About Us
Shaping future innovators at SHEAT
The Department of Computer Science & Engineering (Data Science) at SHEAT College of Engineering was established in 2008 to meet the growing global demand for highly skilled software and data professionals. The institute has made substantial advancements in academics, research, and innovation, achieving a 100% admissions rate across programs.
Data Science uses scientific methods, processes, algorithms, and systems to extract insights from structured and unstructured data. It unifies statistics, machine learning, domain knowledge, and information science to analyze real-world phenomena. Techniques from data mining, deep learning, and large-scale data processing are core to the discipline.
Current program 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 offers a supportive teaching and learning environment driven by highly qualified and experienced faculty. Their expertise blends theoretical instruction 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 modern infrastructure to promote experiential learning and research.
- Smart classrooms equipped with modern teaching tools.
- Advanced laboratories with the latest software and hardware tools.
Modern infrastructure supporting learning
Industry Interaction & Career Building
The department bridges the gap between academics and industry through workshops, guest lectures, internships, and placement-oriented training.
- Workshops, guest lectures, and corporate networking sessions.
- Industry-oriented summer projects and internship opportunities.
- Technical contests and placement-oriented training.
These initiatives have led to strong placements across IT, banking, defense, 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 (Data Science) at SHEAT is committed to preparing students with the foundational knowledge, practical skills, and innovative mindset needed for successful careers in the data-driven world. Join us in our pursuit of excellence and innovation.
Vision & Mission
Guiding principles of the Department of Computer Science & Engineering (Data Science)
Vision
To emerge as a center of excellence in Data Science education and research, producing innovative, ethical, and industry-ready professionals who contribute effectively to the advancement of technology and society.
Mission
- M1: To impart high-quality education in Data Science and related technologies with a focus on analytics, artificial intelligence, and big data applications.
- M2: To promote innovation, interdisciplinary research, and problem-solving skills through practical exposure and project-based learning.
- M3: To foster ethical values, leadership qualities, and lifelong learning in students to meet global professional challenges.
PEOs, POs & PSOs
Defining goals and outcomes for the Department of Computer Science & Engineering (Data Science)
Program Educational Objectives (PEOs)
- PEO1: To equip students with a solid foundation in Data Science principles, programming, and statistical analysis for solving real-world problems.
- PEO2: To develop skilled professionals capable of analyzing, interpreting, and managing large-scale datasets for data-driven decision-making.
- PEO3: To encourage innovation and entrepreneurship in emerging areas of Artificial Intelligence, Machine Learning, and Big Data.
- PEO4: To instill professional ethics, teamwork, communication, and leadership skills essential for global collaboration.
- PEO5: To promote lifelong learning and adaptability to evolving technologies and industrial trends.
Program Outcomes (POs)
- PO1: Apply the knowledge of mathematics, science, and computing fundamentals to solve complex engineering problems.
- PO2: Identify, formulate, and analyze data-driven problems using statistical and machine learning methods.
- PO3: Design and develop effective data models, algorithms, and systems to meet real-world requirements.
- PO4: Conduct experiments, analyze data, and draw valid conclusions using modern tools and techniques.
- PO5: Use modern software tools, programming frameworks, and cloud platforms for intelligent data analysis.
- PO6: Apply reasoning informed by contextual knowledge to assess societal, legal, and ethical issues in data use.
- PO7: Understand the impact of technology and data-driven decisions on the environment and society.
- PO8: Demonstrate ethical responsibility and data integrity in professional practice.
- PO9: Function effectively as an individual, leader, and team member in multidisciplinary environments.
- PO10: Communicate effectively through technical documentation, reports, and presentations.
- PO11: Apply management principles to projects involving data analytics and research initiatives.
- PO12: Engage in lifelong learning to keep pace with advances in AI, ML, and Data Science technologies.
Program Specific Outcomes (PSOs)
- PSO1: Ability to apply data analytics, statistical, and computational methods to extract meaningful insights from large datasets.
- PSO2: Ability to design intelligent systems and predictive models using machine learning and deep learning techniques.
- PSO3: Ability to use emerging tools and technologies to solve interdisciplinary data-driven challenges effectively.
Course Curriculum
Comprehensive and future-ready curriculum aligned with AKTU
The curriculum of the Department of Computer Science & Engineering (Data Science) is designed to blend computer science fundamentals with data analytics, artificial intelligence, and machine learning. Aligned with Dr. A.P.J. Abdul Kalam Technical University (AKTU), the curriculum prepares students for careers in data analysis, AI-based applications, and research.
Curriculum Details
The B.Tech in Data Science program provides:
- Comprehensive coverage of programming, statistics, and mathematics for data science.
- Courses in AI, ML, Big Data, Cloud Computing, and Business Intelligence.
- Hands-on projects using Python, R, TensorFlow, and data visualization tools.
- Mandatory internships and research-oriented projects for real-world exposure.
| S.No | Course | Branch | Year | Download |
|---|---|---|---|---|
| 1 | B.Tech | Data Science | 1st Year | Syllabus of 1st Year |
| 2 | B.Tech | Data Science | 2nd Year | Syllabus of 2nd Year |
| 3 | B.Tech | Data Science | 3rd Year | Syllabus of 3rd Year |
| 4 | B.Tech | Data Science | 4th Year | Syllabus of 4th Year |
Faculty
Experienced faculty leading innovation in Data Science
The Department of Computer Science & Engineering (Data Science) boasts highly qualified faculty members committed to delivering quality education and research in emerging areas of Data Science, AI, and Analytics. Faculty members actively contribute to academic research, projects, and professional development programs.
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
Hands-on data-driven learning with advanced labs
The Department of Computer Science & Engineering (Data Science) provides modern laboratories designed to enhance students’ practical skills and analytical thinking. Each lab supports a wide range of experiments, simulations, and data analysis activities.
Data Science Laboratories
1. Data Analytics & Visualization Lab
- Equipped with R, Python, Power BI, and Tableau tools.
- Students learn data cleaning, statistical modeling, and visualization techniques.
2. Machine Learning & Artificial Intelligence Lab
- Supports TensorFlow, PyTorch, Keras, and Scikit-learn frameworks.
- Focus on supervised, unsupervised, and deep learning model development.
3. Big Data & Cloud Computing Lab
- Hands-on training with Hadoop, Spark, and cloud platforms like AWS and Google Cloud.
- Students gain skills in scalable data storage, processing, and analytics.
4. Programming & Database Systems Lab
- Equipped with SQL, NoSQL, and Python-based database tools.
- Focus on backend data management, query optimization, and application integration.
5. Research & Innovation Lab
- Encourages student projects, innovation challenges, and startup incubation.
- Facilitates interdisciplinary research in AI, IoT, and automation.
Academic Calendar
Stay updated with academic schedules and timelines
Stay updated with the official academic schedules. Download the AKTU Academic Calendar 2025-26 and SHEAT Academic Calendar 2025-26 below.
Academic Calendar Details
| S.No | Calendar | Session | Download |
|---|---|---|---|
| 1 | AKTU Academic Calendar | 2025-26 | Download |
| 2 | SHEAT Academic Calendar | 2025-26 | Download |
Frequently Asked Questions
How many seats are there in B.Tech Data Science at SHEAT Varanasi?
The sanctioned intake for B.Tech Computer Science and Engineering (Data Science) at SHEAT College of Engineering & Management, Varanasi is 30 seats. The programme runs for four years and is AICTE approved and affiliated to Dr. A.P.J. Abdul Kalam Technical University (AKTU), Lucknow. The college was established in 2007 on the Babatpur campus near Varanasi airport.
What is the B.Tech Data Science fee at SHEAT for 2026-27?
The 2026-27 annual fee for B.Tech Data Science is ₹90,000, paid as ₹45,000 + ₹45,000. AKTU examination and registration fees are extra. Hostel (₹80,000 a year) and transport (₹18,000 up to 10 km, ₹23,000 beyond) are optional. A provisional admission amount of ₹20,000 is adjustable in the fee.
What is the eligibility for B.Tech Data Science admission in Varanasi?
You need 10+2 with Physics and Mathematics plus one listed subject such as Chemistry, Biology, Computer Science or IT, with 45% aggregate in these subjects (40% for SC/ST). Admission follows the AKTU / UPTAC 2026 rules. Diploma holders with 45% (40% SC/ST) can apply for lateral entry into the second year.
How do I get B.Tech Data Science admission at SHEAT?
B.Tech seats are filled through UPTAC counselling run by AKTU, on the JEE (Main) 2026 score. At admission you pay ₹20,000 provisionally, adjustable in the fee, and the full first-semester fee within 15 days. Bring your 10th and 12th mark sheets, JEE or CUET rank letter, counselling allotment letter, Aadhaar and category certificates.
What are the placement prospects after B.Tech Data Science at SHEAT?
The placement records page shows a highest package of 12 LPA and an average package of 4 LPA, with 40+ selected students listed. Recruiters named there include TCS, Wipro, Cognizant, Freshworks and QSpiders. The Training and Placement Cell runs aptitude, communication and interview preparation for students.