Aiming to excel in Computer Science & Engineering with a specialization in Data Science, a B.Tech program embarks on a path of sharpening skills in leveraging Machine Learning methods within the CSE domain. This comprehensive and hands-on curriculum focuses on equipping students with the expertise required to construct analytical models for business purposes. Through a blend of analytical insights and statistical methodologies, data science emerges as a swiftly expanding avenue for career prospects in the nation. This program is meticulously crafted to provide a wide spectrum of opportunities to explore diverse applications achievable through the techniques encompassed in its syllabus.
Course Duration - The UG degree in CSE - Data Science is for 4 years from any university in the country for 10+2 students and is 3 years for Diploma graduates.
Salient Features -
- The course is tailored to delve deeply into the realm of Data Science within the broader field of Computer Science & Engineering, providing specialized expertise in this rapidly evolving domain.
- The curriculum is thoughtfully designed to cover a wide range of topics, including Machine Learning, Data Analysis, Statistics, and advanced programming, ensuring a holistic understanding of Data Science principles and practices.
- The program offers practical training in building robust business models for data analytics, equipping students with the ability to translate data-driven insights into actionable strategies for various industries.
- With data science being a rapidly expanding field, the program opens doors to a multitude of career paths in industries such as finance, healthcare, e-commerce, and technology, where data-driven decision-making is paramount
Syllabus
The B.Tech CSE-Data Science syllabus covers a wide spectrum. It commences with foundational computer science and advances into core data science topics like machine learning, statistics, and visualization. Students explore advanced areas such as deep learning and big data analytics while mastering Python and R programming. Ethical considerations and elective options like time series analysis enhance their expertise. Graduates emerge with a solid grasp of data science principles, programming proficiency, and the ability to tackle complex challenges.
| B.Tech CSE-Data Science syllabus |
| 1st Year |
2nd Year |
| Introduction to Artificial Intelligence and Machine Learning |
Introduction to Biology for Engineers |
| Programming for Problem Solving |
Discrete Structures |
| Maths |
Computer Organization and Architecture |
| Engineering Physics |
Applied Statistical Analysis |
| Soft Skills |
Industrial Internship |
| Computer-Aided Design and Drafting |
OOPS using JAVA |
| Principles of Electrical and Electronics Engineering |
Data Structures using C |
| Application-based Programming in Python |
Project-Based Learning- 1 |
| Advanced Physics |
Industrial Internship I |
| Engineering Chemistry |
CTS-2 Communicate to conquer |
| Mechanical Workshop |
Data Acquisition |
| Multimedia Application Lab |
Advance Java Lab |
| |
Environmental Science |
| |
Computer Networks |
| |
Principles of Operating System |
| |
Database Management System |
| |
Management Course |
| 3rd Year |
4th Year |
| CTS-3 Impress 2 Impact |
Web Technologies |
| Data Warehouse |
Industrial Internship |
| Theory of Computation |
Business Intelligence |
| Design and Analysis of Algorithm |
Program Elective- IV, V, VI |
| Project-Based Learning- III, IV |
Major Project- I, II |
| Industrial Internship II |
Comprehensive Examination |
| Software Engineering and Testing Methodologies |
Professional Ethics and Values |
| Program Elective-I, II, III |
Open Elective- III, IV |
| Open Elective- I, II |
Campus to Corporate |
| Data Mining |
Big Data Analytics |
| Compiler Design |
Universal Human Value and Ethics |
| Ace the Interview |
|
| Artificial Intelligence |
|
| Statistical Analysis Lab |
|
Eligibility Criteria
- The students must have passed the 10+2/PUC/equivalent examination from a recognized board or university with Physics, Maths, and Chemistry as mandatory subjects and secured 50% aggregate marks (45% for SC/ST/OBC).
- The student should be 17 years of age by Admission Year.
- The Students must have qualified in any one entrance exam: JEE/CET/COMEDK/ WBJEE/UPSEE.
Admission Process
Admissions to the B.E/B. Tech programs are determined by the rankings in the National Entrance Examination (JEE) or State-level Entrance Exams like KCET, as well as direct University Entrance exams, among others. Notably, prestigious colleges also give weight to scores from the Joint Entrance Examination (JEE). Those aspiring to secure admission to esteemed institutions like IITs and NITs must excel in both JEE Mains and JEE Advanced.
Entrance Exams for Admission to B.E/B. Tech CSE - Data Science
In order to enroll in a Bachelor's degree program specializing in CSE - Data Science, students are required to participate in the National Entrance Examination (JEE) or State-level Entrance Exams like KCET, MHT CET, WBJEE, or COMED-K, in addition to University Entrance exams. These assessments hold significant importance as they serve as pivotal pathways for aspiring students who seek admission into esteemed educational institutions.
Here are the details of the Top Entrance Exams for Engineering
- The JEE Main exam is conducted by the National Testing Agency (NTA) in an online mode with a duration of 3 hours.
- The JEE Advanced (IIT JEE) exam is conducted by the Indian Institute of Technology in an online mode with a duration of 3 Hours
- Karnataka Examination Authority (KEA) conducts the KCET exam in an offline mode in a duration of 1 hour 20 mins.
- The WBJEE exam is conducted by the West Bengal joint Entrance Exam in offline mode with a duration of 2 Hours
- The Maharashtra Government Conducts the MHT - CET exam in Offline mode with a time limit of 1 Hour 30 Mins
- GUJCET is conducted by the Gujarat Secondary and Higher Secondary Education Board in offline mode with the time duration of 3 hours
- The Consortium of Medical, Engineering & Dental college is the conducting agency of COMED - K exam.
1. Employment Opportunities -
Upon completing a B.Tech in Computer Science & Engineering (Data Science), diverse career prospects open up. Roles include data science, database administration, software development, and more. While degree-specific positions are common, alternative paths are viable. Computer networking offers roles centered on system and network interaction. Additionally, data-focused roles in database and information management offer significant opportunities for those captivated by data's possibilities.
Trending Career Profiles:
- Data Scientist
- Machine Learning Engineer
- Data Analyst
- Database Administrator
- Business Analyst
- AI Specialist
- Quantitative Analyst
- Research Scientist
- Data Engineer
- Product Manager (Data Products)
- IT Analyst
- Information Security Analyst
- Data Visualization Specialist
Top Recruiting Companies
- Google
- TCS
- Microsoft
- Infosys
- Apple
- Cognizant
- Amazon
- Amazon
- IBM
- Samsung
- Facebook
- Havells India Ltd
- Intel
- Cisco
- Cisco Systems
- Dell
- Oracle
- Tata Teleservices
- Adobe
- Crompton Greaves
- NVIDIA
- Siemens
- HP (Hewlett-Packard)
- Reliance
- Qualcomm
- Capgemini
- SAP
- Cognizant
- TCS (Tata Consultancy Services)
- Schneider Electric
- Infosys
- Broadcom
- Wipro
2. Venture into Entrepreneurship -
After completing a B.Tech in Computer Science & Engineering with a specialization in Data Science, you have the potential to carve your own path as a self-employed professional. Here are some self-employment opportunities to consider:
- Freelance Data Scientist/Analyst
- Consulting Services
- Start Your Own Analytics Firm
- Data Product Development
- Online Courses and Workshops
- Data Visualization Services
- Niche Data Services
- Data-Driven Marketing
- Predictive Analysis Services
- Secure IoT Solutions
- Data Protection Services
3. Higher Studies & Skill Enhancements -
After completing a B.Tech in Computer Science and Engineering (CSE) in Data Science, graduates have a range of higher study opportunities to further specialize in the field of Data Science. Data Science is an interdisciplinary field that combines skills from computer science, mathematics, and domain knowledge to extract insights and knowledge from data. Here are some higher study options you can consider:
- Master's in Data Science or Data Analytics
- Master's in Computer Science with Data Science Specialization
- Master's in Artificial Intelligence
- Business Analytics or Business Intelligence Programs
- Online Certifications and Short Courses
- Ph.D. in Data Science or related field
Top Engineering College PAN-INDIA
- Alliance University, Bangalore
- CMR University, Bangalore
- Reva University, Bangalore
- RV University
- SGT University, Noida
- Bennett University, Greater Noida
- SPS University, Udaipur
- NIU, New Delhi
- K.R. Mangalam University
- MSRIT
- CMRIT
- BMSCE
- BMSIT&M
- R V College of Engineering
- Atria
- Dayananda Sagar College of Engineering
- RVIT
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