Computer Science and Engineering (Data Science)
Institute of Engineering and Technology
Introduction
The Bachelor of Technology in Computer Science and Engineering (Data Science) is tailored to prepare students for the data-driven demands of modern industries. This programme offers a robust foundation in computer science, enhanced with specialised training in data analytics, statistical modelling, and predictive analytics. Courses encompass data mining, machine learning, and big data technologies, equipping students to perform advanced data analysis and extract actionable insights from complex datasets.
Career Prospects
- Data Scientist
- Data Engineer
- Business Intelligence Analyst
- Machine Learning Engineer
- AI Researcher
- Big Data Analyst
- Cloud Solutions Architect
- Systems Analyst
- Data Analytics Consultant
- Research Scientist
Electives
- Introduction to Data, Signal, and Image Analysis
- Data Analysis with R
- Big Data Technologies
- Computational tools for Data Science (SAS & Tableau)
- Applied Time Series Analysis
- Internet of Things and Sensor Data Analytics
- Data Driven Program Analysis
- MLOps
- Reinforcement Learning
- Optimization for Computer Science
- Statistical Structures in Data and Inference
- Advanced Statistics
- Numerical and Scientific Computing
- Matrix Computation
- Number Theory
- Operations Research
- High Performance Computing
Semester 1
- Programming – I
- Fundamentals of Electrical and Electronics Engineering
- Design Creativity and Thinking
- Calculus
- Environment and Sustainability
- Fundamentals of Communication
Semester 2
- Programming – II
- Digital Electronics
- Applied Physics
- Linear Algebra and Differential Equations
- Indian Knowledge System
- Critical Thinking and Storytelling
Semester 3
- Data Structure and Algorithms
- Computer Organization and Architecture
- Database Management Systems
- Probability and Statistics
- Essentials of Business Management
- Perspectives on Contemporary Issues
Semester 4
- Design and Analysis of Algorithms
- Machine Learning
- Operating Systems
- Discrete Mathematics
- Managerial Economics
- Communication and Identity
Semester 5
- Data Visualization and Analysis
- Data Mining and Warehousing
- Cloud Computing for Data Science
- Departmental Elective – I
- Open Elective – I
- Understanding and Managing Conflict
Semester 6
- Data Privacy and Ethics
- Big Data Analytics
- Departmental Elective – II
- Departmental Elective – III
- Open Elective-II
- Critical Thinking for Decisions at Workplace
Semester 7
- Project
- Departmental Elective – IV
- Departmental Elective – V
- Open Elective – III
- Open Elective – IV
- Open Elective – V
Semester 8
- Practice School-II/ Entrepreneurial Project/ Research Project/ Semester at a partner University