NIT Surathkal (NITK)
- Fees: ₹ 571820
- Exams: JEE Main
What is Data and Computational Science
The graduates from Data and Computational Science course are called computational and data scientists. These scientists have the responsibility to work on mathematical models, develop quantitative analysis techniques and learn the usage of computers to analyse and solve real-life scientific problems. The knowledge of innovative tools which can be used and how they should collaborate with clients and fulfil their demands is one of the most important aspects of Data and Computational Science course. They facilitate the students by helping them learn how to follow an interdisciplinary approach and solve problems using mathematics, physics, chemistry, computing and statistics. Extraordinary technology like modelling, simulation and data mining can also be studied in Data and Computational Science course.
Eligibility Criteria (UG & PG) of Data and Computational Science
For Postgraduates
The students should have a bachelor’s degree in either of the following fields, BCA, B.Sc. Statistics, B.Sc. Mathematics, B.Sc. Computer Science, B.Sc. IT, BE or B.Tech.
In the final examination, the students should have minimum 50% marks.
The preference would be given to those students who have learnt mathematics/statistics for at least 2 years.
Data and Computational Science Entrance Exam
Data and Computational Science course is not offered to students at the undergraduate level and is only available at the postgraduate level.
The students can apply to their colleges of choice using online forms and applications, and on qualifying for admission in the college on entrance exam basis, the students are called to the institute for document verification and other procedures.
Some of the exams conducted are –
IIT JAM (Indian Institute of Technology Joint Admission Test) for M.Sc.- It is an All India Level Examination which is conducted by the IITs on behalf of the MHRD. The exam is conducted once a year online and is 3 hours-long. The students appearing for this exam should have a minimum of 55% marks in their examination from a recognised board with a 5% relaxation for the SC/ST category students.
ITM NEST (Indian Institute of Management National Entrance and Scholarship Test)- This exam is conducted by ITM University of Gwalior. It offers admission to various streams across engineering, science, business and management studies, pharmacy, and IT for the UG and PG courses. It is conducted via offline and online more for 1.5 hours with 100 questions of MCQ type.
DUET (Delhi University Entrance Test) - This is a national exam conducted via online mode for 2 hours. The exam offers admission to PG and PhD courses only. After clearing this exam, the students have counselling sessions.
GITAM SAT (GITAM Science Admission Test) - It is conducted by the GITAM Institute of Science for the UG and PG courses. It is a national level entrance exam conducted offline to grant admission into the PG course, the students should have secured 50% marks in UG course.
IPU CET (Indraprastha University Common Entrance Test) - It is conducted by the Guru Gobind University for admission to UG and PG courses. It is conducted online.
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Scope of Data and Computational Science in India and Abroad
Since more technologies are being used in today’s world, the need for a Data scientist is increasing tremendously. Therefore, the scope of Data and Computational Science is huge. Data and Computational Science course is very attractive for the young generation as well as the professionals of this field. The demand is created in sectors of Information technology, telecom, manufacturing, finance and insurance, retail and much more. Data Science is used in the fields of E-Commerce, manufacturing, banking and finance, healthcare, and transport. Data and Computational Science professionals can find employment in the top companies like Amazon, Walmart, and Mate Labs with a variety of job roles of Software engineer, data scientist, business analyst, and many more.
Course Fees Data and Computational Science
| Minimum Fees | Maximum Fees | |||
|---|---|---|---|---|
| Private | Government | Private | Government | |
| UG |
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Data not available
|
2.47 Lakhs
Dual Degree in Data and Computational Science at Indian Institute of Technology Jodhpur
|
20.00 Lakhs
B.E /B.Tech in Data and Computational Science at Mahindra University, Hyderabad
|
9.08 Lakhs
B.E /B.Tech in Data and Computational Science at Indian Institute of Technology Hyderabad
|
| PG |
2.73 Lakhs
M.Sc. in Data and Computational Science at Shoolini University of Biotechnology and Management Sciences, Solan
|
34.40 K
M.Sc. in Data and Computational Science at Central University of Andhra Pradesh, Anantapur
|
2.73 Lakhs
M.Sc. in Data and Computational Science at Shoolini University of Biotechnology and Management Sciences, Solan
|
3.79 Lakhs
M.Tech Ph.D in Data and Computational Science at Indian Institute of Technology Jodhpur
|
| DOCTORAL |
6.92 Lakhs
Ph.D in Data and Computational Science at Brainware University, Kolkata
|
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Data not available
|
13.85 Lakhs
Ph.D in Data and Computational Science at Asian International University, Manipur
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Data not available
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Course Subjects
Data and Computational Science course offers various subjects to the students who build their knowledge and their skills. This development will help them in becoming a good professional in the Data and Computational Science field for the future and get great job opportunities.
Some of the subjects have been written below –
Data programming with python
Data programming with R
Mathematics for research
Applied matrix theory
Transferable skills
Predictive analytics
Advanced predictive analytics
Statistical machine learning
Machine learning and AI
Bayesian analysis
Scientific computing
High-performance computing
Numerical Algorithms
Advanced computational science
Probability & statistics
Time series analysis
Monte Carlo inference
Careers in Data and Computational Science
On reading about the survey carried out in the Data and Computational Science field, it is seen that computational and data science is one of the rapidly growing fields in the country. After completing graduation, the students will be offered with diverse career options in Data and Computational Science filed. The students can decide which career option they want to go to. They can work in the fields of aerospace engineering, data science, environmental modelling, medical development, gene sequencing and meteorology. They can also go for further studies in PhD or specialisation in a particular subject.
Upcoming trends
New trends keep coming up in the Data and Computational Science field to improve the daily life of people. The trends in the field of data science included how to increase the amount of data, how to improve the machine learning algorithms and lastly how to fill data in computers via different resources. This improvement led to the three new trends in the Data and Computational Science sector.
The Data Explosion – The use of digital technology in today’s world has taken a huge leap, and now there is no coming back from that. In the future, there is going to increase in the data. This new data will help us a lot in the science models we make, give rise to even new models and innovative cases
Growth of Internet of Things (IoT) - There are around 7 billion IoT devices connected, and the numbers keep on rising each day. Since more devices are coming, the hardware in these devices is improving at a fast rate and the data delivered now would be richer and more diverse. In the future, IoT is expected to be generated from airline, mining and auto industries too.
Social Media – This is another source which has a huge amount of data. Another source of data can be weblogs, entertainment, payment transactions, and surveillance data.
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Job Profiles and Top Recruiters
Data and Computational Science Job Profiles
There are various job profiles available for the students after their graduation. Some of the job profiles are given below –
Job Profile | Job Description |
A Data Scientist’s primary duty is to collect data. This data is collected by analysing the business or if you’re setting up a new business. Studies can also give such data. After collecting it and formatting it into a new format for the ease of analysis, they can set up new ways of collecting the data, experimenting the ways. They create automatic feeding tools for the data to reduce the manpower consumed. To find old data on something, they have to search through past data as well. They can make posters, reports and presentations for presenting their business data in front of clients. | |
A Data Analyst analyses and studies data. This includes the creation, updates and deletion of the data. They check the quality of the data and make sure that the data is correct. They also work with quality assurance analyst if they need help. They process confidential data and approve it according to the guidelines. Develop the reports and then perform analyses in it. Support all the innovations made in the field of data integrity and normalisation. Assess tests and implement the innovations or the upgraded software which will help in making strategic decisions. | |
Computer Scientist | A Computer Scientist deals with the problems related to the conceptualisation of computers and the maths-related model. They make new products along with the solving of computing problems. They conduct research which involves experimenting on new things and the scientific models. They can work with the programmers, IT professionals, mechanical, electrical and software engineers which may help them solve the problems and even develop new products. They can study how AI, robots and virtual reality can help them in creating new products. |
A Senior Software Engineer comes up with the solutions related to software after going through the needs, talking with the users, studying how the system flows, data usage and work processes. They investigate the problems carefully and find solutions. They give work to the operational facility if it is feasible after evaluating different parameters like problem, solutions and proposed solutions. They present the solutions in front of the clients and the company via documents, flowcharts, layouts, and diagrams. They also improve the operations by analysing and recommending the changes under the policies and procedures. |
Data and Computational Science Top Recruiters
As the students complete their graduation in Data and Computational Science, companies are lined up for recruiting them. Many top companies come to recruit them. Some of the top recruiters are here –
Amazon
Busigence Technologies
Fractal Analytics
Walmart Labs
LinkedIn
Sigmoid
Flipkart
Mate Labs
IBM
Couture
Average Salary
The salary given to the Data and Computational Science employees is dependent on the amount of work they do, a salary is a way of giving them compensation for the work they do. It increases as the employee gets promotions or bonuses from the company. The average annual salary is given below –
Job Profile | Annual Average Salary |
Data Scientist | Rs. 7-8 lakhs p.a. (approx.) |
Data Analyst | Rs. 3-4 lakhs p.a. (approx.) |
Computer Scientist | Rs. 18-19 lakhs p.a. (approx.) |
Senior Software Engineer | Rs. 19-20 lakhs p.a. (approx.) |
Required Skillset for Data and Computational Science
The students require particular skill sets for standing out among the rest of the students. The following are the skill sets required for Data and Computational Science course. A perfect combo of the tools, techniques and business acumen will help the students a lot.
Tools:
R – The students should have in-depth knowledge about R as it is used for data analysis, a programming language too.
SQL – SQL is used for preparing and extracting data. It is also used for making graphs, network analysis, and search behaviour.
MS EXCEL – It is a basic tool for entering data manually.
Techniques:
Mathematical Experience – The students should know the machine learning algorithms like regressions, clustering, and time series. These algorithms require very high mathematical knowledge.
Unstructured Data – Since data provided is of unstructured type in the form of images, comments, and tweets. The students should know how to work with them.
Business Acumen:
Business professionals like analytical professionals come in the high management of hierarchy. Therefore, students should know how to behave as professionals.
Course Curriculum for Data and Computational Science
The students will learn how to use modelling, simulation and the study of phenomena through the computer analysis, data mining and software engineering. They can then apply Data and Computational Science knowledge to the technology and processes and solve complex problems which arise in front of them. Questions arising from the field of predictive analysis, economic science, genomics and drug design, bioinformatics and biotechnology can be answered by these students.
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Frequently Asked Questions (FAQs)
Question: What would be the salary for the fresher?
Answer :
being the fresher, the students would not receive that high amount of salary as professionals. Though the starting salary for students can be Rs. 3-4 lakhs p.a. (approx.).
Question: What would be the salary for the fresher?
Answer :
being the fresher, the students would not receive that high amount of salary as professionals. Though the starting salary for students can be Rs. 3-4 lakhs p.a. (approx.).
Question: Which are the job profiles the students can apply for?
Answer :
The top job profiles which the students can apply for are software engineer, data analyst, programmer, Senior Data Analyst, Software developer, data scientist, senior business analyst, and senior software engineer.
Question: Which are the job profiles the students can apply for?
Answer :
The top job profiles which the students can apply for are software engineer, data analyst, programmer, Senior Data Analyst, Software developer, data scientist, senior business analyst, and senior software engineer.
Question: Which are the major topics taught to the students for M.Sc. in Data Science?
Answer :
Some of the major topics taught are Data Programming, Linear Regression Models, and Machine Learning.
Question: Which are the major topics taught to the students for M.Sc. in Data Science?
Answer :
Some of the major topics taught are Data Programming, Linear Regression Models, and Machine Learning.
Question: What are the average fees of Data and Computational Science course?
Answer :
The fees vary between Rs. 50,000 to Rs. 1 lakh, depending on the colleges. The college under government would have lesser fees compared to the private universities/institutes.
Question: What are the average fees of Data and Computational Science course?
Answer :
The fees vary between Rs. 50,000 to Rs. 1 lakh, depending on the colleges. The college under government would have lesser fees compared to the private universities/institutes.
Question: Which are the institutes/universities offering Data and Computational Science course?
Answer :
The top institutes/universities offering this course are –
Indian Institute of Information Technology and Management, Kerala
Indian Institute of Science, Bangalore
National Institute of Securities Markets
Indian Institute of Management, Calcutta
Indian Institute of Technology, Madras
Indian Institute of Technology, Hyderabad
Indian Institute of Technology, Kharagpur
Indian Institute of Information Technology, Delhi
Jawaharlal Nehru University
Ahmedabad University
Academy of Maritime Education and Training
Bharathiar University Coimbatore
Question: Which are the institutes/universities offering Data and Computational Science course?
Answer :
The top institutes/universities offering this course are –
Indian Institute of Information Technology and Management, Kerala
Indian Institute of Science, Bangalore
National Institute of Securities Markets
Indian Institute of Management, Calcutta
Indian Institute of Technology, Madras
Indian Institute of Technology, Hyderabad
Indian Institute of Technology, Kharagpur
Indian Institute of Information Technology, Delhi
Jawaharlal Nehru University
Ahmedabad University
Academy of Maritime Education and Training
Bharathiar University Coimbatore
