Comparing an engineering degree in Civil Engineering and Data science would be equivalent to comparing apple to oranges. Instead of comparing the two domains, the recommended way is to understand the pros and cons within both domains and then make a choice on the one which suits us better. This can again be a very personal question that varies from opinion to opinion. There is a famous saying, which goes like: “Do what you like, and you will never have to work a single day in your life.”

We would throw some light on both domains and rest the choice of picking a domain based on the reader's opinions and ideas.

As we begin to analyze the domain, one must keep in mind that there this list is suggestive and not exhaustive. The opinions and ideas are subjective and vary from scenario to location.

Let us begin by analyzing the top market trends and skill requirements in both domains.

Domain advantages:

• In a growing economy such as hours, civil engineering continues to see constant demand for skilled individuals. The demand exponentially increases for specialized skills and experienced professionals.
• The domain can offer asymmetric returns for highly skilled and experienced professionals.
• Comparatively, this domain is shielded from multiple disruptive technologies and changing landscapes.
• Your growth and development exponentially rises with your personal brand the organizational brand development.
• The domain forms the backbone of an economy. Hence, one can always expect government support and initiatives from the ones who are willing to add actual value and better services.

Domain disadvantages:

• The people who are starting to build their careers from scratch in this domain might not be compensated as per their peers in other domains. The compensation rises as you grow inexperience.
• The domain highly is dependent on government policies and market trends.
• There might be a demand-supply mismatch in terms of labor skills within entry level jobs. However, this balances out as people transition their careers to complimentary verticals.

Let us now focus on the Data Science domain keeping it under a comparative lens to the civil engineering domain.

Domain advantages:

• High growth domain with huge opportunities for skilled individuals to build a robust career path.
• As the amount of data that we manage today grows exponentially, so would the need for people who can manage and make sense of this information.
• The domain leverages multiple open-source solutions. Hence, the barrier to entry is minimal to learn and grow.

Domain disadvantages:

• As the gap between skill demand and supply closes, the industry might witness a slowdown in lucrative compensation that is being seen now.
• The process could soon be automated as technologies such as auto ML become better at making decisions.
• The domain requires highly skilled professionals who are willing to constantly adapt to new tools and solutions.

Having analyzed the pros and cons of both domains we can now make an informed decision on the type of domain that suits best to our needs and career goals. One must also keep in mind that the underlying landscape in both domains is fairly dynamic in nature and hence, one needs to do sufficient amount of research during the point of actual decision making. However, the broader points remain consistent and must be leveraged while actually comparing and analyzing career options.

Dear Student,

Data Science

• comprehensive process that involves pre-processing, analysis, visualization and prediction.
• comprises of various statistical techniques
• tools involved are a lot more than the ones used in AI because Data Science involves multiple steps for analyzing data and generating insights from it.
• is about finding hidden patterns in the data
• by this, we build models that use statistical insights
• does not involve a high degree of scientific processing

AI

• implementation of a predictive model to forecast future events.
• makes use of computer algorithms.
• tools involved are less than the ones used in AI.
• s about imparting autonomy to the data model.
• with this, we can build models that emulate cognition and human understanding.
• involve a high degree of scientific processing
  
  Therefore, in the end, we conclude that while Data Science is a job that performs analysis of data, Artificial Intelligence is a tool for creating better products and imparting them with autonomy. So you can go as per your interest, passion and capability.

Happy Learning!

Hi, so i would suggest you to go for MLR Institute of Technology.

The college provides great courses and have a good placement. Their top recruiters are TCS, Infosys, Amazon, etc.

The college have great infrastructure and have a nice environment. The professors are good in their fields.

Now coming onto your choice of subjects i.e., Data Science and Artificial Intelligence.

These technologies are actually very latest and will be in top in coming years and learning these skills will enhance your possibilities in getting a nice job with good salary package.

I would suggest you to be the best in your field and work on your skills.

Hope this is helpful

Dear applicant, there are several factors why you can call an institution bad, Malla Reddy offers you a strict college life and you may not be satisfied with their placements however the teaching faculties are nice.

Not only that, if you think of other factors of MRCET, the labs are well equipped, teaching techniques of the teachers are student-friendly and the academic environment is also very nice.

Good luck !!

https://www.careers360.com/colleges/malla-reddy-college-of-engineering-and-technology-hyderabad

Hello,

According to current scenario their is more scope for student who is expert in Artificial Intelligence (AI) and Machine Learning (ML).

So you have to go with B.Tech in CSE with Specialization in Artificial Intelligence (AI) and Machine Learning (ML).

Thank You.

BTech CSE deals with a broad range of subjects such as Software development, Hardware, Computer Architecture, Integrated electronics and computing, Data Management. In BTech CSE also there are specialization elective in which one can learn about Data Science but obviously it will not be in the details as compared to that of BSc-MSc Data Science and AI or BTech CSE with specialization in Data Science.

Now Data Science is the subject which analyse data and predict the necessary outcomes. For example, you need to invest in share markets. Now you don't know about the shifting of stocks but if you have a history of past day trends then by data analysis you can conclude a point which will be highly probable to invest in order to get the benefit of investment and no loss. This is one kind of example. Data Science is widely use in Prediction such as a relatable example is Covid Waves. We hear about that the third wave of covid will come etc. The procedure they are predicting is that they are taking the day wise data of infections and trying to build up trends and based on that trends and the information of virology they are predicting waves which you can see is quite accurate as in case of 2nd wave of covid in India. So if you learn data science you will have a lot of job opportunities as well as BTech. But as Data Science is a developing field, you will find more scope in the subject compared to that of BTech.

To know more about Data Science visit the link below:

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

To know more about CSE visit the link below:

https://www.careers360.com/courses/computer-science-engineering-course

I hope this answer helps. All the very best for your future endeavors!

Hello Aspirant,

There are currently no government colleges in Maharashtra that offer courses like Artificial Intelligence, Data Science Engineering and Machine Learning.

However there are multiple private engineering colleges which offer those courses which you can look into.

Thank you!

Hello Manohar,

Hope you are doing well, as you've mentioned that your rank in eapcet-2021 is 34876, with this rank you can get Computer science & engineering & business systems in Rajeev Gandhi Memorial College of Engineering and Technology, Kurnool . And yes you can get other branches seat also in good college. Here are the colleges  where you have good chances of getting seat through eapcet:

Sri Vasavi Engineering College, Tadepalligudem - Btech Computer science & technology

G Pullaiah College of Engineering and Technology, Kurnool - Btech Internet of things

Raghu Institute of Technology, Visakhapatnam - Btech Computer science & engineering

QIS College of Engineering and Technology, Ongole - Btech Data science

KKR and KSR Institute of Technology and Sciences, Guntur - Btech Data science

NRI Institute of Technology, Agiripalli - Btech Computer science & engineering

You can also predict your college based on rank for ap-eamcet 2021 by using college predictor tool:

https://www.careers360.com/ap-eamcet-college-predictor

All the best!

Hope this helps you

Bapatla Engineering College, Bapatla - Btech Data Science

Hey there

Mentioned below are the top colleges and universities which offer BCA in Data analytics in Bangalore:

• Jain University
• Kristu jayanti College
• Saint Joseph's College
• CMR University
• School of science studies
• The national Degree College
• Saint Claret college

For more details related to BCA in Data analytics you can click on below link:

https://www.google.com/url?sa=t&source=web&rct=j&url=https://www.careers360.com/courses/data-science-course&ved=2ahUKEwjggLaA4bXyAhWAzjgGHY53BQYQFnoECAkQAQ&usg=AOvVaw2qgLkfkyA_plKsJjZEh4sa

Hey Narayanaappa,

BSc Data Science is one of the most popular programmes, offering the best compensation and job security around the world. The course covers Artificial Intelligence, Business Analytics, Learning, Statistics, Big Data Analytics, and other relevant fields in order to comprehend a set of real-world data. In 2020, there are expected to be 2.7 million open positions in data analysis, data science, and related fields (source: IBM). Employer demand for both data scientists and data engineers is expected to climb by 39% by 2020. (source IBM). Earning potential of $8,736 per year, which is higher than any other bachelor's degree employment (source: IBM).

Data Science, according to LinkedIn, is the future of business and e-commerce. Not only will you be able to earn a higher salary and have a more stable job, but you will also be able to learn and explore the various techniques and technologies involved in the process.

Also refer to thi link for more information https://www.careers360.com/courses/data-science-course

Hope this information helps.

Regards.