Hello,

To begin with, it is impossible to compare the two realms in order to determine which is superior — exactly because they are two distinct fields of study. It's the equivalent of contrasting science with the arts. However, the clear popularity of data science nowadays cannot be denied. Almost every industry has turned to data to help them make better business decisions. Whether it's for performance analysis or device data-powered plans or apps, data has become a vital element of enterprises. Machine Learning, on the other hand, is still a developing field that has yet to be accepted by a few businesses, implying that ML technologies will become more in demand in the near future. As a result, specialists in both of these fields will be in high demand in the future.

Because Machine Learning and Data Science are so intertwined, a fundamental understanding of both is essential to specialise in one of the two fields. To begin with Machine Learning, however, understanding of data analysis is necessary in addition to data science. Understanding and cleaning data before using it to create ML algorithms necessitates learning computer languages such as R, Python, and Java. Tutorials on these programming languages, as well as basic data analysis and data science ideas, are included in most Machine Learning courses.

Data Scientists or Machine Learning Engineers make greater money.

Data Scientists and Machine Learning Engineers are both in high demand in today's industry. When it comes to entry-level positions, data scientists appear to make more money than Machine Learning engineers. For entry-level positions in data science, the average income is more than 6 LPA, whereas for Machine Learning engineers, it is approximately 5 LPA. Senior specialists, on the other hand, make almost the same amount in both disciplines, averaging approximately 20 LPA.

Hope this helps.

Hello,

Tech CSE (Data Science)/CSD with intake of 60 started in 2020, provides engineering graduates of Computer Sciencewith specialization in Data Science. The core data science subjects focus on data analytics, visualization, predictive modeling and analytics for data-driven decision making.

This programme is designed to provide a student with core concepts of computer science as well as data analytics. It also provides engineering and problem-solving skills using computational methods.The focus is on holistic learning and on empowering students to make significant contributions at all levels.

i hope this info help you.

hey there,

hope you are doing well and keeping good,

So heres the answer to your query....

According to me or rather as far as my knowledge says an aspiring software engineer can expect regular opportunities to progress your career. As you learn technical skills and gain experience, new opportunities will open. Whereas as a rapidly growing field, we do not see this demand slowing down anytime soon. Specializing in Data Science provides entry-level jobs as an Analyst in different domains like e.g., Data Analyst, Quantitative Analyst, Business Intelligence Analyst.

hence I would suggest you for pursuing data science....

with best regards.

Dear Reader,

There are many good colleges for Data Science in India.Some of them are as follows -

• IIT Madras, Chennai.

• IIT Indore,Indore.

• VIT University,Vellore.

• IIM,Shillong.

• AMITY University,Jaipur.

• CHRIST University,Banglore.

• FERGUSSON College,Pune...and many more

You can also go through the link given below to check all the information regarding all information related this course

https://www.careers360.com/courses/data-science-course

Hope this information help to resolve your queries regarding this.

Have a good day and great future ahead....

Hello aspirant,

I hope you are doing well and good.

As you asking for which is better choice for you between data science and robotics.

Robotics is fun, but there’s less opening now, it will be harder for you to find a first job, but that’s a very interesting domain. Data engineer is the most boring job in software development. And machine learning engineer should be more and more popular. You can start as data scientist and start to do more developments and eventually become someone who’s good at both machine learning and engineering. Of course, there’s real data scientist and also mostly data analyst who claims they are data scientist, it’s very different. So it’s always useful to write production code and directly contribute to the production instead of only do some easy analysis.

Goodluck!!!!

Hello,

Hope you are doing good! Here's your answer!

Candidates seeking (both UG/PG) transfer between Self-financing Engineering Colleges / Government Engineering Colleges / Autonomous Engineering Colleges are required to contact The Commissioner, Directorate of Technical Education (DOTE), Chennai - 25 through the Principal of the respective Colleges.

Yes, you can change the college after completing your 2nd year of engineering degree. This process is possible only if the college affiliation is same and your new college comes under same university.

Eligiblity for transfer:

1. Students studying B.E / B.TECH / B. Arch and M.E / M.TECH / M.Arch / M.Plan / MBA / MCA degree courses are eligible for transfer only after completion of first year course of study. All types of transfers mentioned above shall be processed through the Directorate of Technical Education, Chennai.
2. Students studying in UG/PG degree courses are eligible for transfer only to the respective branch of study. Transfer from one branch to another branch shall not be accorded for any reason.
3. Transfer between institutions will be considered subject to the availability of vacancy in the branch in which the student is at present studying provided the students seeking transfer shall be accommodated within the sanctioned strength of the respective branch to which the transfer is required.
4. Request for transfer between institutions will be considered only during the commencement of the academic year (i.e., Third/Fifth/Seventh Semester of Study).
5. Application seeking transfer should bear the consent of the principals of both the transferor and transferee colleges.
6. forwarding of Applications for transfer by the Principals with their consent does not confer any right on the students seeking transfer and the Director of Technical Education reserves the right either to accept or reject or withhold the application on administrative grounds without assigning any reasons.
7. The transfer of a student from one College to another College after a break in study is always subject to fulfillment of time limit prescribed by the University.
8. Students seeking transfer should continue the course of study in the present college till the transfer order is issued for admission to the new colleges by the University concerned.

All the best!

Hope it will help!

Thank you!

Dear Aspirant,

Subjects in Artificial Intelligence UG or PG courses :

• Artificial intelligence

• Neural networks

• Pattern recognition

• Algorithms

• Machine Learning

• Language processing

• Robotics

• Automata

• Deep learning

• Sensors

• Programming language - Python or C or other languages - Varies from university to university.

• Database management and Big data

General topics in AI :

• Engineering - custom made for CS students

• Biology for CS students

• Maths

• Physics - for CS students

• Design

• Object-oriented application

• Compiler design

• Industrial/manufacturing lessons

• Structure

• Web and internet

• Operating systems

• Disaster management

• Cloud computing

• Soft skills

• Interview tips

List of subjects to study while pursuing Data Science course are :

• Linear Algebra and Matrix Analysis
• Distributed Algorithms and Optimisation
• Probability and Probability Distributions
• Stochastic Processes & Bayesian Methods
• Non-Parametric and Categorical Data Analysis
• Simulation and Monte Carlo Techniques
• Programming with R and Python
• Statistical Inference
• Linear Regression Models
• Programming with Hadoop and Spark
• Multivariate Methods for Machine Learning
• Deep Learning and Text Mining
• Longitudinal Data Modelling
• Time Series and Forecasting
• Social Network Analysis
• Design and Analysis of Experiments
• Data Management and Data Warehousing
• Applied Data Analytics
• Programming for Analytics
• Projects
• Internship

You can also check the links given below for more information regarding these courses :

https://www.careers360.com/courses/artificial-intelligence-course#

https://www.careers360.com/courses/data-science-course

Hope you query will get solved by this answer.

Hi,

Robotics Engineer can work in space research organizations like ISRO, NASA, etc, which makes uses of robotic technology and Artificial Intelligence. Robots are majorly used in surgery and rehabilation sector of medicine. They also specialize in human treatment through therapeutic robotic devices.

Data Science career in India has grown enormous. A recruiter has to go through any large number of resumes at any given time, especially more so in the recruiting season. One of the biggest challenges for the recruiter is to find the right recruit based on the resumes and that is like finding the right needle in the needle stack. But this difficult job of epic proportions is made very easy with the advent of data science.

Hope it helps.

according to this years cutoffs of  iit mandi data science obc is around 1703 obc rank so you should move accordingly but at this point you should be careful that you should consider past years cutoffs for reference purposes only as the same cutoff trends may not repeat in future