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 -
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
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
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:
Top Recruiting Companies
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:
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:
Top Engineering College PAN-INDIA
Discover your perfect program in our courses.
B.Tech in CSE with a focus on Data Science is a specialized program that combines the core concepts of computer science with in-depth training in data analysis, machine learning, and data-driven decision-making.
Graduates can pursue roles such as data analyst, data engineer, machine learning engineer, data scientist, business intelligence analyst, and more, in industries ranging from tech and finance to healthcare and e-commerce.
Yes, theres a high demand for professionals with expertise in data science. Industries are increasingly relying on data-driven insights to make informed decisions, creating a strong demand for data-focused roles.
Many institutions offer internships as part of their curriculum, allowing students to gain practical experience in real-world projects and industries related to data science.
While prior programming experience can be beneficial, many programs are designed to accommodate students with varying levels of coding knowledge. The program will likely include introductory coding courses.
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