About Computer Science & Engineering (Data Science)

B.E in Computer Science & Engineering (Data Science) is a specialized undergraduate program. Data Science is an interdisciplinary study that uses scientific processes, methods, and algorithms to convert large amounts of data into actionable knowledge. Data science uses techniques and theories from mathematics, statistics, and computer science domains to provide computational solutions to real- world problems rich in data.

This specialization makes students proficient in tools and systems used by Data Science Professionals and gain the skills in developing intelligent models that cover many fields of Computer Science.

 


Vision of the Department

To surpass expectations as a leading Data Science department, fostering innovation through a dynamic learning environment; empowering socially responsible and analytically proficient individuals to drive progress

Mission of the Department

M1: To nurture skilled, innovative, and quality professionals in Data Science.

M2: To encourage faculty to continuously upgrade their expertise and instill professional values in a rapidly evolving technological landscape.

M3: To develop state-of-the-art infrastructural facilities that foster excellence in Data Science education and research.

M4: To establish impactful collaborations with government, industry, society, and alumni, while promoting entrepreneurship in the field of Data Science.


The Program Educational Objectives (PEOs)

  1. Work productively as Computer Engineers, including supportive and leadership roles in multidisciplinary domain.

  2. Participate in life-long learning through the successful completion of advanced degrees, continuing education, certifications and/or other professional developments.

  3. Promote design, research, product implementation and services in the field of Computer Science and Engineering through strong technical, communication and entrepreneurial skills.

Program Specific Outcome(PSOs)

  1. Analyze, design, implement and test the complex systems by applying suitable Algorithms, Data structures and Object oriented technology.

  2. Demonstrate the knowledge of Artificial intelligence, Machine learning and Data engineering to design and develop intelligent systems.

  3. Exhibit a concrete foundation to process an innovative career, higher studies and research in data science.


Key Highlights

  • Career Essential Soft Skills Program and Placement Assistance (Job Opportunities Portal, Hiring Drives, Resume Building & many more)

  • Dedicated Student Success Mentor & Career Mentor for 360 Degree Support

  • Live Coding Classes & Profile Building Workshops

  • Mentorship Sessions from Industry Experts

  • Case Studies and Assignments

  • Practical Hands-on Projects


Career Options

  • Software Engineer

  • Application Architect

  • Business Intelligence Developer

  • Data Analyst/ Architect/ Engineer/ Scientist


Core Subjects:

  • Data Structures

  • Design and Analysis of Algorithms

  • Database Management Systems

  • Data Mining and Data Warehousing

  • Big Data Analytics

  • Programming: Python and R

  • Business Intelligence

  • Cloud Computing

 
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