Hello Aspirant..

These days, pursuing a B.Tech in CSE is a highly good professional choice. Every day, several technologies are used. The contemporary period is one in which technology is utilized in all aspects of life.

AI and machine learning are now widely used. Machine Learning is a type of technology in which academics are attempting to create something new. Researchers like Andrew Ng, who specializes in machine learning, are working on building machines that can perform tasks as well as humans. Facebook, Instagram, Netflix, and a slew of other companies use machine learning. Artificial intelligence, usually known as AI, is the most exciting topic of computer science. It's also fascinating in terms of machine learning, because every developer wishes to construct an AI like Jarvis.

It is critical to pursue CSE with a passion. If you majored in cse with a specialization, you'll be limited to that field. Furthermore, when you apply for jobs at different organizations, you are solely considered for positions in your industry. If you study cse without a specialization, on the other hand, you will do a lot of coding, which will be very valuable to you. To choose candidates, every organization now undergoes a round of coding. Coding is also very important in AI, ML, and data science because it is used everywhere. You can work in any field if you know how to code.

I hope this information helps.

Regards.

Hi Aspirant,

I assume you are asking whether the two specialization of CSE i.e., Cloud Computing and Data Science is easier than regular CSE course. All these three courses are amazing on it's own and it all depends on you which course you have more interest in . Cloud computing is something where works are like using network servers to store, manage and control data. While in data science there is usage of Big data and there is a cleaning, preparing and analyzing of the data is involved. While in regular CSE there too you will be studying these subjects but not in-depth studies will be done. In specialization course of cloud computing and Data Science, you will gain in-depth knowledge of the subjects related to these course only. While in regular CSE, you will be having more and more overview on various number of subjects. So, there is nothing as such that this particular course is easy and other one is tough, it is all on how you perform and how much interest in that course.

Hope this helps.

Good luck!!!

Hello there

DATA SCIENCE IS A COMBINATION OF CONCEPTS SUCH AS MATHEMATICS, COMPUTER SCIENCE AND STATISTICS.

CANDIDATES MUST HOLD A DEGREE IN ONE OF THE FIELDS IN SCIENCE, ENGINEERING, MATHEMATICS (STEM background) AND TECHNOLOGY .

STUDENTS FROM OTHER STREAMS SUCH AS BUSINESS STUDIES CAN ALSO APPLY FOR RELEVANT COURSES IN DATA SCIENCE.

STUDENTS CAN PURSUE DATA SCIENCE COURSES AFTER 12TH .

THERE ARE SEVERAL COURSES LIKR DIPLOMA, UG,PG AND PHD COURSES.

THE ADMISSION IS DONE EITHER MERIT BASED OR ENTRANCE  SUCH AD JEE MAIN GATE AND OTHER RELATED EXAMS CONDUCTED BY COLLEGE/UNIVERSITY.

THESE ARE SOME OF THE COLLEGES IN CHENNAI IN WHICH DATA DATA SCIENCE COURSES ARE BEING  PROVIDED :

• CRESCENT SCHOOL OF BUSINESS  , VANDALUR
• ACADEMY OF MARITIME EDUCATION AND TRAINING, KANATHUR
• IIT MADRAS
• APTECH COMPUTER EDUCATION
• LIBA , NUNGAMBAKKAM
• HINDUSTAN INSTITUTE OF TECHNOLOGY AND SCIENCE, KELAMBAKKAM
• SRI VENKATESWARA COLLEGE OG ENGINEERING, KANCHIPURAM

ADMISSION PROCESS DEPENDS ON COLLEGES.

ALL THE BEST !

See if you want to do CSE with AI then you will learn the subjects named below (the curriculum varies from university to university but these are common ones):

• 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

If you go for CSE Data Science then you can get the subjects as name below:

• inear 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

Now if you are doing specialization in both the subjects then you will be getting a sets of subjects from the listed above. Its always better to search out the syllabus of your university.

To know more about Data Science visit the link below:

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

To know more about AI visit the link below:

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

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

You may specialize in either of AI/ML or Data Science. Both have excellent career prospects amd relevance to the current Job Scenario. However jit as an advice, incase you plan on pursuing a MBA in near future, you may prefer Data Science over AI/ML, as it'll help you more, secondly Data Scientist is an excellent and well paying job today as far as freshers are concerned.

Hi, so basically BCA Data Science provided by Amrita Vishwa Vidyapeetham is quite advance and job oriented. Though the BCA course provided by Jain University is quite good too, with quite good range of subjects such as Artificial Intelligence, Cloud Computing, Cyber Security, Internet of things, etc.

The only difference in courses provided by these two universities is that Amrita University's Data Science program merely focuses on Data Science  although it have other advanced subjects as provided by Jain University too.

So if you are anywhere interested in Data Science you should definitely go for Amrita Vishwa Vidyapeetham, since they provide the curriculum for Data Science in an elaborative way. And if you want to learn data science for the sake of knowledge and not want to build your carrier around it then you should go for the Jain University.

Hope this is helpful.

Hello candidate,

Courses such as artificial intelligence involving computer science engineering and data science programming can be considered as the one of the most demanded streams in the future because of rapid atomization of man made machines with Computer Based applications. There are a lot of subjects and programming skills which a person needs to learn and understand in order to learn the skills of data science and machine learning and here are some of them- Programming for Problem Solving such as Python Programming, Object Oriented Programming, Web Technology, Computer Communication Networks, Cryptography and Network Security, Data Structures and Algorithms, Database Management Systems, etc.

Hope you found it informational!!

Hello,

There are certain topics that are not typical in nature and need extra investigation in order to make the best conclusion possible. Artificial Intellect is one such field, which asks for computers and other devices to imitate human intelligence operations.

The top 10 university offering B tech DS and AI in India is as follows

Indian Institute of Hyderabad

Indraprastha Institute of Information and Technology

SRM Institute of Science and Technology

Vellore Institute of Technology

University of Petroleum and Energy Studies

Jain University

GH Raisoni College

Sharda University

Lovely Professional University

Quantum University

Hope it helped

Dear leaner,

Actually,I could have able to answer this , because iam one of the pharm-d graduates ,see if you are interested in switching career from pharmacy to data science,risky part is more than benifits ,let's take that as  positive . p

After pharm-d taking up in data science is brilliant idea ,you could have impactable knowledge in both field,but the issue is you need have a bachelor's degree in engineering or computer science, statistics, if you wants to take msc in data science,

but anyone is eligible for the data science in doing so diploma in data science ,it takes you too far more ,

first stick to basics , understand stats,maths ,computer and machine learning,and the first foremost thing is learning computer language.if you are good and willing you can take anyhow .

that,s The only drawback in data science learning languages ,that could be fun if you learn with passion.

all the best

Hello,

Physics is always a demanding one in the field of Science and has a lot of scope in India and abroad. After B.sc you can prepare for masters or an integrated PhD in India or abroad.

• After B.Sc. degree, students can give the MRNAT / IIT-JAM exam conducted by different institutions. Another exam like the Graduate Aptitude Test in Engineering (GATE) is also conducted by universities for admission in MTech program.
• If you are willing to go abroad for higher studies then you must clear the Graduate Record Examination (GRE) to get admission in a graduate program abroad.

There are a number of job opportunities available for a B.Sc. Physics graduate. Here are some of the top job profiles:

• Physicist
• Physics Lecturer
• Lab Assistant
• Research Associate
• Subject Matter Expert
• Technician
• Radiologist Assistant
• Academic Counselor
• Content Developer
• Quality Control Manager
• Scientist
• Radiation Oncologist

Job opportunities as a scientist are available in organizations like BARC, ISRO, DRDO, VSSC, SSPL and other many well-established research centres in India as well as abroad.

Data Science is a new field and has been gaining so much demand and popularity since the pandemic. Day to day evolution of technology and the collection of huge amounts of data has led to the increasing demand of data scientists around the globe. The importance of gathering and collecting data is crucial as it enables organizations to determine and thus influence the trends in a particular industry. The opportunities in India and abroad for this field is endless.

Data Science jobs for freshers may include the job of a business analyst, data scientist, statistician or data architect.

Big Data Engineer: Big data engineers develop, maintain, test, and evaluate big data solutions within organizations.

Machine Learning Engineer: Machine learning engineers have to design and implement machine learning applications/algorithms to address business challenges.

Data Engineer/Data Architect: Data engineers/architects develop, construct, test, and maintain highly scalable data management systems.

Data Scientist: Data scientists have to understand the challenges of business and offer the best solutions using data analysis and data processing.

Statistician: Statistician interprets the results, along with strategic recommendations or incisive predictions, using data visualization tools or reports.

Data Analysts: Data analysts are involved in data manipulations and data visualization.

Business Analysts: Business analysts use predictive, prescriptive, and descriptive analyses to transform complex data into easily understood actionable insights for the users.

In conclusion the future of physics and data science is very bright. Every field has its pros and cons but it is up to you, decide what is of your interest and what you can do.

All the best!