Computer Science & Engineering (Data Science)
About theDepartment
The Department aims to produce Graduates with strong Problem-Solving, Analytical, and Programming Skills, empowered by Real-World exposure to Machine Learning, AI, Big Data, and Cloud Technologies.
Graduates from the Department are highly sought after in both Academia and Industry. Career paths include:
Vision
Mission
M2: Promote experiential learning through Industry Collaborations, Research Initiatives, and Real-World Projects that bridge Theory and Practice. (Industry Integration)
M3 : Nurture Innovation, ethical responsibility, and Lifelong Learning among Students to address Societal Challenges using Data-Driven Solutions. (Ethical Innovation)
Highlights of theDepartment
Cutting-Edge Curriculum
- A well-structured curriculum blending core Computer Science subjects with specialized Data Science Courses.
- Focus on practical implementation using Python, R, SQL, Hadoop, Spark, TensorFlow, and other Modern Tools.
- Integration of Project-Based Learning, industry certifications, and Real World Projects.
Advanced Laboratories
- Big Data & Cloud Lab: Hands-on training on Hadoop Ecosystems, Spark, and Cloud Platforms like AWS and GCP.
- Data Science Lab: For Applied Statistics, Analytics, and Visualization Projects.
- Project Innovation Lab: For Major Projects, Hackathons, and Start-Up Development.
- Smart Classrooms & E-Learning: Integration with Online Platforms like CISCO, Qlik, EduSkills and MOOCs (e.g., NPTEL, Coursera, edX).
Expert Faculty
- Department is powered by a Dynamic Team of highly qualified Faculty holding PhDs and Postgraduate Degrees from reputed Institutions.
- Active involvement in Research, Publications and Funded Projects.
Industry Collaborations & Internships
- MoUs with leading Tech Companies for Internships, Live Projects, and Training.
- Regular Industry talks, Guest Lectures, and Workshops from Data Science Professionals.
Research & Innovation
- Active Student participation in Research Projects, Datathons, and Innovation Challenges.
- Encouragement to publish their Papers in National and International Conferences / Journals.
Major Projects & Mini Projects
- Semester-wise hands-on Projects for practical application of concepts apart from regular Curriculum Labs.
- Final-Year Major Projects aligned with Real-World challenges and mapped to relevant Sustainable Development Goals (SDG’s).
Career Support & Placement
- Dedicated Placement Training is provided in Data Science tools, Aptitude, and Interview Skills.
- Strong placement records in top IT Firms, Data Science Startups and Consulting Companies.
Student Clubs & Activities
- Student Clubs: Coding Club, Data Science Club – for Workshops, Competitions and Peer Learning.
- Hackathons & Competitions: Encouraged participation in Smart India Hackathon, IEEE Challenges, Kaggle Competitions.
- Workshops & Certifications: In Python, Machine Learning, Tableau, Cloud, and Data Engineering.
- Soft Skills & Career Training: Resume writing, mock Interviews, and Communication Skills.
Higher Education Guidance
- Support for GATE, GRE, TOEFL, and Postgraduate opportunities in India and Abroad.
- Alumni placed in top Universities and Global Tech Companies.
Entrepreneurship & Start-up Ecosystem
- Support for Student Innovation through Incubation Cells and Mentorship.
- Opportunities to Develop and pitch Data-Driven Solutions for Real-World impact.
ProgramsOffered
- B.Tech CSE(Data Science): Intake – 120
Head of theDepartment
Dr. KSRK Sarma
- 23 Citations Affirmed
- 25 Papers Published
- 100+ Workshops Attended
- 1 Consultancy Project
- 6 NPTL Certifications
- 10 Other Certifications
Faculty
MoU's of theDepartment
