Now, read some more points about Data Science:

• Firstly, candidates could opt for data science course after completing class 10+2 or its equivalent from a recognized board.
• Secondly, the admission in bachelor’s data science course takes place on the basis of merit in last qualifying examination.
• Thirdly, the top ranked institutes or colleges accept a valid National/State level scorecard such as JEE Main, GATE, IIT JAM, GSAT, DUET, IPU CET etc for admission in various data science courses.
• Moreover, admission in PG level data science courses occurs on the basis of entrance followed by an interview.
• Furthermore, every university has its own admission process. Thus, it is necessary to know about the eligibility before applying to any data science course.
• Lastly, the average data science salary is approximately equal to 10 LPA.

What is Data Science?

Data Science is one of the technical courses that deal with structured as well as unstructured data. Moreover, it is regarded as the data driven course which provide knowledge about statistics, mathematics, programming, machine learning etc. Furthermore, data science courses offers a in depth knowledge regarding the concepts of tools and techniques used in Data Science. In addition, data science courses also introduce you to learn algorithms as well as programming principles.

Some data science colleges in India are listed below:

• SP Jain School of Global Science
• KL University
• VELS
• Navrachana University
• VIT
• Manipal University
• Christ University
• BITS Pilani
• IIT
• Indraprastha University
• LNCT University
• Aligarh Muslim University
• Chandigarh University
• JNU etc.

Besides that, data science courses are very beneficial for the companies as it could help in predicting the future trends with respect to the profit or loss as well as other insights. In addition, data science jobs are very well-paid. Thus, candidates from the computer science or engineering streams could opt for data science courses.

• Firstly, syllabus of data science courses is structured in such a way that it could provide knowledge to design a model that could predict the future possibilities.
• Secondly, data science is considered better than data analytics or machine learning courses.
• Thirdly, there is a huge demand for data science graduates.
• Moreover, data science jobs are well-paid and highly respectful in the field of technology.
• Furthermore, we could also detect or create models that could analyze fraud inputs with the help of data science.
• In addition, management companies also require data science graduates for the finance or account specializations.
• Besides that, data science salary is around INR 10-12 LPA, which is higher than any other stream in the field of technology.
• Lastly, data science jobs are data architect, leading manager, chief executive officer, analytics manager, data science manager etc.

History of Data Science

Data Science is regarded as an alternative term of computer science. Moreover, in 1947 Peter Naur proposed this term. In addition, it is the branch that provides knowledge of the different technical languages, algorithms, statistics, etc.

• Furthermore, in the year 1962, W.Turkey wrote about ‘The Future of Data Analysis’. In addition, his work is considered as one of the major milestone in the history of data science.
• Besides that, Peter Naur has published Concise Survey of Computer Methods. Moreover, his work possesses the clear meaning of data science.
• Furthermore, in 1977, IASC (International Association for Statistical Computing) was evolved. Besides that, its main aim to associate traditional statistical methodology with modern techniques, it also converts the data into knowledge as well as information.
• Moreover, in 1989, Gregory Piatetsky conducted a workshop on Knowledge discovery in database.
• Then, in 1996, the conference conducted in Japan by IFCS (International Federation of Classification society) constitute the word data science in its title i.e., Data Science classification and related methods. Furthermore, in this year a collective work of Usama Fayyad, Padhraic Smyth as well as Gregory Piatetsky was published i.e., ‘From data mining to knowledge discovery in the database’.
• Moreover, in 1999, ‘Mining data for Nuggets of knowledge’ was highlighted.

Besides that, many publications in the history of data science is available. Thus, this field is gradually highlighted for the coming generation. Moreover, there is a huge demand of data scientists in India. As per the records, various seats were left vacant due to insufficiency of skilled and experienced data scientist. Furthermore, there are numerous data science jobs in different type of companies in India.

Types of Data Science

Data Science is a broad term. Furthermore, there are various types of data such as known data, unknown data. Moreover, it is essential to understand that there are different specializations in the field of data science. Furthermore, all the data is not considered same. In addition, every field has its own specialty. Besides that, this field has different concept than machine learning or data analytics.

Various Data Science courses:

• BE/BTech
• BSc
• BCA
• MBA
• MCA
• MTech etc.

Moreover, the three core types of data analytics are descriptive, prescriptive as well as predictive.  In addition, data science includes all the concepts of various technical fields to accomplish the desirable task. Following are some types of data science:

Big Data

The big data is regarded as the bulk data which possess a complex nature. Moreover, the big data is obtained from a new data source. Furthermore, it is difficult to handle big data. In addition, big data is quiet voluminous and could not be handled via traditional data software. Besides that, there are various colleges in India that offer big data and analytics courses. Moreover, certain entrance exams are conducted for admission in big data courses.

Machine learning

The machine learning is regarded as the branch of data science that is involved in designing and developing the tools or algorithms. Moreover, it helps to find trends/insight in a given set of data. Furthermore, machine learning is growing day-by-day as it gains the attention of youth. In addition, machine learning is referred as one of the integral part of the core i.e., data science. Besides that, machine learning not only identifies and learns the data but it also predicts the future decisions. Moreover, this type is available in BTech or MTech courses. Lastly, the data science salary after completing machine learning is approximately around INR 3-8 LPA.

Data science

The Data Science is the branch of science which deals with the study of domain expertise, scientific methods, algorithms, programming, statistics etc. In addition, Data Science is involved in extracting the knowledge as well as insights from the data. Furthermore, Data Science courses could be used to attain knowledge about the processes and behavior as well as programming the algorithm that could process the large amount of data in less time period. In addition, various models are designed with the combined concepts of machine learning, data science, data analytics as well as artificial intelligence. Lastly, the average data science salary is equivalent to INR 8-10 LPA.

Artificial intelligence

The branch of artificial intelligence is gaining popularity these days. Moreover, it is regarded as the intelligence executed via machines. Furthermore, it deals with the process of manufacturing machines that possess intelligence similar to human beings. In addition, one historic example of artificial intelligence is the robot Sophia made by the humans by the use of artificial intelligence. Besides that, several other robots as well as machines are constructed with the help of data science and artificial intelligence. Moreover, the most popular course of this specialization is BE as well as BTech. Lastly, data science salary after completing the degree of artificial intelligence is approximately around INR 7-15 LPA.

Data analytics

Data analytics deals with organizing the data on the basis of finance, inputs, market trends etc. Moreover, some important data analytics courses are BTech, BSc, MSc, Computer science etc. IN addition, various PG certificate data analytics courses are also offered in India. Lastly, data science salary after completing data analytics is approximately around INR 4-8 LPA.

Scope of Data Science in India

As the field of data science is gaining recognition day-by-day, the scope of data science has also been increased. Moreover, there are both public as well as private sector that provide job opportunities to the candidates. Furthermore, the average salary after completing data science courses at different levels is approximately equal to INR 10 LPA. In addition, it has also been estimated that several post in this sector remain vacant due to lack of data science graduates. Moreover, it is a technical field that requires candidates with technological understanding. In addition, top skills required in this sector are python, R-programming, data analytics, big data, machine learning etc. Thus, the candidates seeking data science jobs must have in-depth knowledge as well as technical skills to perform and design several models that could handle data.

Now, read some more points about scope of Data Science:

• Firstly, the Data Science jobs are increasing as every company requires a specialist to handle the data.
• Secondly, the scope of this field is to work in different specializations such as finance, pharma, banking, corporate, energy etc.
• Thirdly, candidates who attain higher level of education in this field could work as data scientist.
• Furthermore, the job profiles like data analyst, application architect, clinical data scientists, mathematician, and data engineer are also offered by various companies.
• Moreover, there is a huge demand of data scientists in India. Moreover, this branch requires proper knowledge as well as experience in the field of data handling.
• Additionally, some students who opt for the doctoral course after completing Masters in data science could also work as professor or assistant professor.
• In addition, some of the top recruiters of this field are Amazon, Flipkart, Accenture, fractal, delloitte, MUSigma etc.

1.    Data Scientist

The data science constitute data preparation, data acquisition, business issues, deploys and maintains, communication as well as visualization, data mobeling etc. Moreover, the human race is generating a very massive amount of data that needs to be handled properly. Thus, data scientist is one of the jobs after completing higher education in this field.  Moreover, scope of data science is increasing in recent times. Furthermore, data scientists are the technical as well as professionals whose job is to segregate the complex data into simple form by the implementation of programming and algorithms. Besides that, the scope of data science in India is in the field of healthcare sector, transport sector as well as E-commerce etc. In addition, the data scientist should possess strong knowledge in following filed:

• Computer science
• Modeling
• Mathematics
• Statistics
• Analytical blending etc.

Read some more points about data scientist:

Besides that, the youth is very much inclined towards this particular field. Moreover, the pay scale of a data scientist is also high as compared to any other profession. In addition, certain basic requirements to become a data scientist are listed below:

• Firstly, the candidates who aspire to become a data scientist must possess a bachelor’s degree in the field of computer science or any related specialization.
• Secondly, the candidate must possess minimum 50-55% marks in UG program from a recognized institute or university.
• Thirdly, the aspirant must have the knowledge of various software as well as programming language such as python, Hadoop, pig, SQL etc.
• Moreover, an in-depth knowledge of algorithm as well as mathematics is also necessary to carry out various functions.
• Lastly, some important skills of a data scientist are multivariable linear algebra and calculus, Wrangling of data, cloud computing, Microsoft Excel, DevOps.

2.    Data Analyst

The data analyst is the professional who process the data by cleaning, analyzing as well as modeling the data using different tools. Moreover, the processed data is utilized to derive the insights of the bulk data. Furthermore, the information extracted is important to make business related decisions of the company. In addition, the companies are mainly dependent on the technology; every work should be done without any delay. Thus, data analyst plays a major role in the business sector to manage and analyze the data carefully. Besides that, the start-up companies as well as giant tech companies requires data analyst in their workforce who are able to record, analyze, interpret as well as segregate the data to run the company efficiently.

In addition, the data science jobs are considered as a great career option because data is regarded as the significant part of all the sectors. Moreover, data analytics is important to make informed as well as strategic decisions. Furthermore, there is a huge demand of data analyst in various companies. Thus, the data analytics courses are also in demand. Moreover, the youth belonging to the science stream specifically those who possess computer as a major subject are more inclined towards this field.

In addition, the data analyst who possesses 5 years of working experience can earn upto INR 15 LPA. Besides that, the data analyst who possesses 10 years of working experience can earn upto INR 20 LPA. Moreover, the pay scale of senior data analyst with maximum 10-15 years of experience in data science jobs can earn data science salary equivalent to INR 20 LPA.

Now read some more points about data analyst:

• Firstly, data analysts are required in the field of banking, fraud detection, policing, healthcare, energy, e-commerce, risk management as well as telecommunication.
• Secondly, some top recruiters of data analysts are JP Morgan, AIG, Wipro, Deloitte, Accenture, Adobe, Microsoft, Flipkart, Ernst & Young, and Vodafone etc.
• Thirdly, data analytics is in great demand in business as a blend of tools, business administration, analytics, programming as well as IT sector. Moreover, it aid in improving the current data and make it secure and sorted for future reference.
• Furthermore, certain other companies such as media communication, finance, outsourcing companies etc also demands data analyst. Besides that, the banks use the method of data mining to identify the polluted or hazardous data that could corrupt the whole technical system.
• In addition, the major concern of big companies is the security of their data. Thus, data analytics is the branch of data science that could overcome the issue of security.
• Lastly, the data is growing very fast and by the help of Big Data, the essential as well as useful data could be extracted out and arranged systematically. Moreover, this process is helpful to enhance the productivity as well as development of companies and their employees.

3.    Application architect

The application architect is also known as software architect. Moreover, they are the software developer. Furthermore, the major work of an application architects to handle and monitor the entire system. In addition, the scope of application architecture is also very vast. Besides that, this position requires candidates who belong to software engineering background. Furthermore, the basic eligibility to become an application architect is to possess a bachelor’s degree in the field of computer science or data science courses or its equivalent.

Read some more points about basic requirements to become application architect:

• Firstly, the candidate seeking data science jobs in this field must possess a UG degree in CS with specialization in the field of application development, software engineering etc.
• Secondly, the candidates who have 2 years of working experience as an application architect is given preference in data science jobs over other candidates.
• Thirdly, the application architect must be familiar of certain languages such as Java, C, SQL as well as .NET.
• Furthermore, the aspirant must have the knowledge to associate application development to business needs.
• In addition, the candidates should have interpersonal skills, problem solving skills, analytical understanding, communication skill, and leadership as well as organizational skills etc.

4.    Machine learning engineer

The machine learning engineer is also referred as ML engineer. Besides that, machine learning is considered as the art of creating and designing AI algorithms that could learn make and predict the things. Moreover, the Machine learning engineer is the expert who belongs to the information technology field. Furthermore, the main work of a ML engineer to carry out researches, build and design the automated artificial intelligence system. In addition, the models designed by using artificial intelligence are similar to human that could carry out all the functions that a human does. Besides that, the average data science salary of a machine learning engineer is equal to INR 8 LPA. Furthermore, the salary is increased as per the experience and educational qualifications.

Moreover, the basic eligibility criteria to apply in any machine learning data science courses are to possess a bachelor’s degree in computer science. In addition, after completing the UG program, the candidate could get data science jobs at managerial or any other senior roles. Furthermore, machine learning engineer belongs to the team of data science and makes a link between data scientists, data analysts, administrators, data engineers etc. Moreover, the scope of machine learning is growing day-by-day as the humans are becoming more dependent on the machines. In addition, the role of ML engineer to assess, organize as well as analyze the bulk data and also carry out test to optimize the machine learning algorithms.

Read below to know about roles of machine learning:

• Firstly, the candidates should be able to design ML systems.
• Secondly, must be able to do research and implement the algorithms and tool to develop a model.
• Thirdly, verify the quality of data.
• Moreover, he must be able to convert the data science prototypes, perform statistical analysis, run the machine learning test etc.
• In addition, a machine learning engineer must be capable to design and develop the machine learning applications according to the requirement of client description.

Skills required to become a ML engineer:

A ML engineer should possess certain skills to get data science jobs. Moreover, some of the skills are listed below:

• Firstly, the candidate should be familiar with the concepts of advanced mathematics, linear algebra, statistical skills etc.
• Secondly, ML engineer must possess a master’s degree in the field of machine learning, deep learning, neutral networks, computer science, statistics, mathematics etc.
• Thirdly, he/she must have experience in data science, coding and programming languages, such as Python, C, C++, R, Java and JavaScript.
• Moreover, must have experience in handling ML frameworks, ML libraries and packages.
• Furthermore, the candidate should have an understanding of data modeling, data structure and software development.

5.    Clinical Data analyst

The clinical data analyst also referred as clinical informatics analyst is considered as the healthcare information professional. Moreover, the clinical data analyst analyzes as well as verifies the validity of healthcare and scientific data. Furthermore, the main duty of the clinical data analyst is to make sure that all the protocols are followed; this process helps in improving the efficiency as well as quality of the healthcare sector.

• In addition, the clinical data analyst analyzes the data collected for the clinical trials.
• Besides that, their role is to manage the database of the healthcare organization for easy access in future.
• Moreover, the scope of clinical data analyst is also very vast. Furthermore, various data science jobs in the field of healthcare are offered to the deserving candidates.
• In addition, certain healthcare organizations creates a clinical data management team to make sure that the data collected is stored in the databases in systematic format and he data obtain is error or fraud free.

Read below to know about skills of clinical data analyst:

• Ability to compile.
• Coding
• Categorizing
• Managing
• MS-Office- word, PowerPoint, access and Excel etc.

6.    Data Engineer

This branch of data science course also possesses a vast scope. Moreover, the data engineer jobs are provided by various sectors such as e-commerce, banking, finance, energy etc. furthermore, all the Giant IT companies requires data engineer to resolve the technical issues of the organization. In addition, a data engineer must be familiar with the tools as well as software that handles and alters the data as per the company requirement. Besides that, admission in data engineering specialization takes place on the basis of marks in last qualifying examination. Moreover, the top engineering institutions such as IIT, NIT, and IIM etc provide admission in data science courses on the basis of marks in National level entrance examination. Furthermore, data science jobs for data engineer require a deep knowledge about the programming and algorithms etc.

Eligibility Criteria for Data Science in India

The eligibility criteria for different level of courses of variable colleges or institutions are different. Moreover, the candidates must know about the basic eligibility criteria for data science courses before applying in any college. Furthermore, candidates could apply for any data science curse after passing class 10+2. In addition, the selection process is merit as well as entrance based.

Read below to know about eligibility criteria of different data science courses:

Undergraduate Eligibility criteria:

• Firstly, candidates belonging to the stream of engineering, mathematics, computer science, economics, statistics as well as chemical engineering could apply for data science courses.
• Secondly, candidates must have passed class 12^th from science stream (PCB).
• Thirdly, admission in BE/BTech courses takes place on the basis of marks secured in National/state level entrance examination.
• Moreover, the minimum eligibility to appear in IIT-JEE exams is to possess atleast 60% marks in class 10+2.
• Lastly, seats are allotted on the basis of merit in last qualifying exam followed by counselling session.

Postgraduate Eligibility criteria:

• Firstly, the PG aspirants must possess a bachelor’s degree from a recognized university or institute in relevant field.
• Secondly, admission in ME/MTech/MBA takes place on the basis of valid entrance scorecard of GATE/CAT/MAT/XAT etc.
• Thirdly, short-listed candidate need to appear in personal interview conducted by respective university/institute.

PhD Eligibility criteria:

• Firstly, the candidates seeking admission in PhD must possess masters in data science.
• Secondly, MPhil or NET qualified students are also eligible for PhD.
• Thirdly, the candidate should pass the personal interview to get selected in PhD courses.

Data Science Entrance Exams

The data science courses in India admission takes place on the basis of merit as well as entrance examination. Furthermore, the entrance exams are conducted by central as well as state government. In addition, some institutes/universities and colleges also organizes university level entrance exam followed by GD and PI for admission in data science courses. In addition, many universities have some seats reserved for the candidates who belong to SC/ST as well as economically weaker category. Besides that, admission in bachelors, diploma courses occur on the basis of marks obtained in class 10+2 or its equivalent examination.

In addition, the students are selected through the marks in entrance as well as merit in the last education program. Moreover, counselling session is also conducted to allot seat to the candidates. Furthermore, admission in PG program occurs on the basis of collective performance in entrance GD, PI, Bachelors program as well as experience in the field of data science. In addition, candidates who possess minimum 2 years of working experience in the field of data science are given preference. Furthermore, all aspirants need to appear in entrance test to be eligible for admission in a certain university or institutes. Moreover, most of the colleges/universities have the approval of UGC/AICTE/ NAAC etc and they accepts National level entrance examination scorecard for data science courses in India.

1.    JEE Mains

Joint Entrance Examination is called JEE Main. Moreover, this entrance is referred as the National level entrance. Furthermore, JEE Main is organized by the National Testing Agency. In addition, the candidates who crosses JEE Main exams are eligible to get admission in NIT, IIIT as well as several centrally or government funded institutions of India. Besides that, JEE Main is the basic eligibility criteria to appear in JEE Advanced. Moreover, the rank holders could appear in JEE Advanced. Furthermore, after clearing the examination candidates could get admission in various bachelors program especially BTech course. Besides that, JEE Main is the computer based entrance examination. Moreover, the duration of the test is approximately around 3 hours.

In addition, the process of seat allocation takes place on the basis of Joint Seat Allocation Authority counselling which is also referred as JoSAA counselling. Moreover, JEE Main is conducted four time in a year.

Furthermore, the students who satisfy the eligibility criteria could appear in JEE Main examination. Moreover, certain conditions of eligibility are qualifying examination, age, total attempts, subjects etc. in addition, the main subjects necessary for admission in BE/BTech are physics, mathematics, chemistry etc.

Application process:

• Firstly, the candidates need to visit the official website of JEE Mains and register themselves for the examination.
• Secondly, fill the application form and enter all the necessary personal and educational details.
• Thirdly, you must upload the signature and passport size photograph in the given format along with scanned documents.
• Moreover, pay the application fee through online payment method.
• Lastly, take the print out of duly filled application form and submit it.

2.    JEE Advance

JEE Advanced is regarded as one of the biggest examination that offers admission in technical courses. Moreover, the candidate must pass JEE Main with good rank after crossing class 12^th to appear in JEE Advanced. Furthermore, the top IITs in India offer admission in undergraduate courses on the basis of marks obtain in JEE Advanced. Besides that, the main subjects for JEE Advanced are physics, chemistry and mathematics.

Read some more points about JEE Advanced:

• Firstly, the candidates need to visit the official website of JEE Advanced and register themselves for the examination
• Secondly, the candidates should possess a valid class 12 as well as JEE Main scorecard.
• Thirdly, the candidate needs to fill the application form and provide all the information.
• Moreover, submit the application fee through online transaction.
• Furthermore, the duration of the examination is 3 hours.
• In addition, the questions are in the form of MCQs as well as numerical for mathematics and physics.

3.    DUET

Delhi University Entrance Test is also regarded as DUET. Moreover, DUET offers various undergraduate as well as postgraduate technical courses. Furthermore, DUET is organized by NTA i.e., National Testing Agency. In addition, Delhi University also provides certain certificate courses also. Besides that, candidate needs to visit the official website and fill the application form to appear for entrance examination. Lastly, the basic eligibility for BTech is that the candidates must pass class 12^th with minimum 60% marks from any recognized board with mathematics as the major subject.

4.    CAT

In India, top universities or institutions offers admission in masters program i.e. in MBA on the basis of Common Admission Test. Moreover, MBA in data science is the 2-year course. Furthermore, the IIMs provide admission in MBA courses on the basis of valid CAT scorecard. In addition, there were several alterations made in the examination pattern of CAT exam. Moreover, the registration process for CAT initiates in the month of August. Moreover, the candidates must have passed bachelor course to get admission in MBA program. Besides that, most of the universities also provide distance learning facility for MBA in data science and analytics.

The CAT Exam Mode: Online

Duration of CAT: 2 hours

5.    GATE

The candidate seeking admission in MTech/ME may appear in GATE examination. Moreover, GATE is one of the National level entrances for admission in masters as well as PhD courses. Furthermore, India’s top institution offers admission on the basis of marks in GATE examination followed by interview. Thus, candidate may visit regularly at the official website of the GATE to get the current notifications regarding exam.

Furthermore, this exam is conducted in online mode only. Besides that, candidate should get a brief idea about the exam pattern by visiting the official website before appearing in exam. Moreover, candidates could get all the notifications in the last week of July. Lastly, the final selection of candidates takes place on the basis of counselling sessions conducted by different colleges. Moreover, GATE occurs in online mode. In addition, the duration of GATE exam is 3 hours.

6.    IIT JAM

The IIT JAM is considered as the Joint Admission Test for MSc. Moreover, IIT JAM is the national level examination that occurs in online mode. Furthermore, different IIT in India conducts this examination on a rotational basis under the guidance of Ministry of Human Resources Development. In addition, the exam is conducted to provide MSc in data science as well as other master’s courses in top IIT institutions. Besides that, IIT JAM also provides admission in integrated PhD courses provided by IISc, Bangalore. In addition, certain NITs as well as CFTIs also accepts valid scorecard of IIT JAM to provide admission in MSc as well as integrated MSc courses. Besides that, IIT JAM exam is jointly organized by IIT and IISc.

Moreover, the basic eligibility criteria for appearing in IIT JAM is to pass bachelors program with minimum 55% marks or 5.5CGPA from a recognized Institute or University.

Read some more points about IIT JAM:

• Firstly, the candidate seeking admission in MSc. In Data Science need to visit the official website of IIT JAM and register themselves.
• Secondly, the candidate may fill the application form only in online mode.
• Thirdly, after clearing the examination the PG aspirants need to appear in JOAPS counseling.
• Moreover, students need to pay the application fee through online payment method.

7.    IPU CET

The IPU CET is considered as the University level entrance examination conducted by Guru Gobind Singh Indraprastha University. Moreover, the Indraprastha University has recently launched BTech courses in the field of data science specially in artificial intelligence, machine learning as well as automation, robotics etc. furthermore, IPU CET is conducted in online mode. In addition, the university also provide a set time period for the candidates so that they could correct the application form before final submission. Besides that, candidate may download the admit card from the official website of the university before appearing the examination hall. Moreover, IPU CET is conducted to offer admission in UG as well as PG courses in different specializations. Furthermore, the duration of this examination is equal to 3 hours.

Application process:

• Firstly, the candidates must visit the official website of the IPU.
• Secondly, click on the online admission tab to apply for the new admission.
• Thirdly, the students should read all the instructions carefully before filling the form
• Moreover, enter the necessary details and choose the exam centre.
• Furthermore, the candidates need to upload the photograph and signature in the mentioned format.
• Then submit the application fee through online payment options.
• Lastly, submit the application form.

Top Data Science Courses in India

The Data Science is regarded as one of the branch of IT sector which deals with the study of domain expertise, scientific methods, algorithms, programming, statistics etc. Moreover, the Data Science is the stream that is involved in extracting the knowledge and insights from the data. Furthermore, Data Science courses could be used to attain knowledge about the processes and behavior as well as programming the algorithm that could process the large amount of data in less time period. Besides that, Data Science basically deals with the unstructured data.

Moreover, there are some data science courses in India at UG, PG as well as PhD level. Furthermore, the specialization in any of the courses will provide the in depth knowledge about various programming as well as algorithm to design the models. Besides that, admission in data science courses takes place on the basis of merit as well as entrance examination. Moreover, certain universities/colleges organize their own entrance test which is followed by GD and PI. Furthermore, there is counselling session held by some universities and colleges on the basis of marks in National level scorecard. Lastly, some of the entrance examination for admission in the field of data science courses in India are CAT/MAT/XAT/GATE/JEE Main/JEE Advanced/CUET/DUET/IPU CET/IIT JAM/ NIMSEE/NEST/GSAT/BITS HD etc.

Some data science courses in India are listed below:

Undergraduate courses:

• BE in data science
• BSc in data science
• BTech in data science
• BCA in data science
• Post Graduation Diploma in data science and data analytics

Postgraduate courses:

• MBA in data science and analytics
• ME in data science
• MSc in data science
• MTech in data science

PhD courses:

• Data science

Top Data Science Courses for Bachelors in India

1.     BSc in Data science

The Bachelor of Science in the field of data science is regarded as a 3 years UG program. Moreover, it is a full-time bachelor course that belongs to the field of computer science, artificial intelligence or business analytics. In addition, some subjects of the BSc in data science are statistics, analytics, big data, machine learning, artificial intelligence etc. Besides that, this course provides a brief idea about the issues of real-world problems.

Moreover, admission in BSc in data science occurs on the basis of merit in last qualifying examination. Furthermore, some entrance tests are also conducted by some universities. In addition, the basic eligibility criteria to get admission in BSc in data science are to pass class 10+2 or its equivalent from a recognized board from science stream.

Besides that, several universities that offer BSc in data science has the approval of University Grant Commission. Lastly, the major subjects of data science are:

• Machine Learning
• Cloud Computing
• Data Visualizations
• Python Programming
• Operating Systems

List of Top BSc Colleges in India

College Name	Affiliated University	Cut Off
Navrachana University	N/A	–
NIMAS	N/A	–
KR Mangalam University	N/A	–
Jain University	N/A	–
Manav Rachna University	N/A	–
Sri Sri University	N/A	–
Guru Jambheshwar University	N/A	–

Average Fees for BSc: INR 6 LPA

Admission Criteria for BSc: Common Entrance Test (CET) conducted at University Level or merit based.

Types of Jobs after BSc: Data Scientist, Data Analyst, Business Intelligence Analyst , Data Architect, Data Mining Engineer, Research Analyst, Business Analyst, , Analytics Manager Data Engineer and many more.

Average Placements after BSc: INR 5 LPA- INR 7 LPA

2.     BCA in Data science

The BCA course in the field of data science is considered as a 3 year course. Moreover, this course usually deals with the study of mathematical science and computer applications. Furthermore, the major subjects in BCA in data science are DBMS, Big data, machine learning, python programming etc. In addition, this course also provides knowledge about the software application. Besides that, BCA course in this specialization affiliate data science as well as computer application and creates a balance between them.

Moreover, the basic eligibility criteria to get admission in BCA program are to secure minimum 50% marks in HSC with mathematics as the compulsory subject. In addition, the candidate who belongs to the minority category gets a relaxation of 5%. Besides that, candidates of 18 years can apply for BCA program. Furthermore, every institute has different eligibility criteria. In addition, BCA in data science provides theoretical knowledge about handling the software. Besides that, there are various data science jobs in India.

List of Top BCA Colleges in India

College Name	Affiliated University	Cut Off
Poornima University	N/A	–
Apex University	N/A	–
SAGE University	N/A	–
VELS Institute of Science, technology and advanced studies	N/A	–
TMU	N/A	–
KL University	N/A	–
BS Abdur Rahman Institute of Science and Technology	N/A	–

Average Fees for BCA: INR 2 LPA- INR 3 LPA

Admission Criteria for BCA: Merit/Entrance based

Types of Jobs after BCA: data scientist, machine learning engineer, business analyst, software engineer etc.

Average Placements after BCA: INR 8 LPA

3. B.Tech in Data science

The BTech in Data Science is considered as 4 year undergraduate program. Moreover, this course deals with the knowledge of several tools as well as techniques in the field of data science. Furthermore, this course teaches the candidates to extract and segregate data from the large database which is called the bulk data. Besides that, BTech in data science is one of the new as well as trending courses among the youth. Thus, the candidates could learn various skills such as data analysis, extraction, modification etc.

Moreover, some subjects of BTech in data science are engineering physics, theory of computation, Discrete Structures, Mechanical Workshop etc.

In addition, the basic eligibility to get admission in this 4 year UG program is to possess minimum 70% marks in 10+2 class with PCM as the core subject from a recognized board. Besides that, the candidate should possess 50% in mathematics.

Moreover, certain national level entrance exams are also conducted for BTech admission JEE Main/JEE Advanced/BTSAT/WBJEE/UPSEE/VITEEE/SRM JEE etc.

List of Top BTech data science Colleges in India

College Name	Affiliated University	Cut Off
IIT	N/A	–
NIT	N/A	–
NMIMS	N/A	–
Jagannath University	N/A	–
Sharda University	N/A	–
JIET institute of design and technology	N/A	–
SRM University	N/A	–
UPES University	N/A	–

Average Fees for BTech: INR 2 LPA- INR 3 LPA

Admission Criteria for BTech data science: entrance and merit based

Types of Jobs after BTech in data science: Data Architects, Data Engineers, Database Administrators, Financial Modeler, clinical and Pharmaceutical data analyst etc.

Average Placements after BTech in data science: INR 8-10 LPA

Top Data Science Courses for Masters in India

1. MSc in Data Science

The MSc in Data Science is regarded as the master’s course. Moreover, it is a 2 year full-time program offered by various top institutes of India such as IIT, NIT etc. furthermore, this courses provides information about the major disciplines in the field of data science such as descriptive statistics, calculus, C-programming etc. in addition, this courses gives knowledge to handle the big set of real world bulk data. Besides that, the basic eligibility criteria to get admission in MSc in data science are to possess a bachelor’s degree in the field of mathematics, statistics, CS, engineering etc.

List of Top MSc Colleges in India

College Name	Affiliated University	Cut Off/Merit Based
Vellore Institute of technology	N/A	99%-100%
Annamalai university	N/A	–
Christ University	N/A	–
Manipal University	N/A	90%
Fergusson college	N/A	–

Average Fees for MSc: INR 2 LPA

Admission Criteria for MSc: Merit + Entrance based followed by Personal Interview or Counselling process.

Types of Jobs after MSc: Data Analyst, Data Solutions Analyst, Data Engineer, Data Scientist, Data Architect, Database Administrator, Machine Learning Engineer, Business Analyst, Data Mining Engineer, etc.

Average Placements after MSc: INR 4 LPA –INR 8 LPA

2.  MTech in Data Science

The MTech in Data Analytics is regarded as the postgraduate degree that provides brief knowledge about the science and technology, engineering as well as mathematics also called STEM. Moreover, the candidate who passes MTech in data science has the ability to handle the problems of business sector. In addition, the basic eligibility to get admission in MTech courses is to possess 55%-60% marks in BTech/BE program from any recognized institute or university. Besides that, this course consists of concepts from data analysis, data management, applied statistics, data visualization, programming, modeling techniques, reporting statistical analysis, etc.

In addition, there are numerous career options after completing MTech in data science such as in the field of finance, scientific services, management and technology, energy, real estate sales, entertainment etc.

List of Top MTech Colleges in India

College Name	Affiliated University	Cut Off/Merit Based
IIT	N/A	99%-100%
Christ University	N/A	–
BITS Pilani	N/A	–
NMIMS	N/A	–
Kalinga Institute of Technology	N/A	–
NIT	N/A	99%100%
Jaypee Institute of Information Technology	N/A	–

Average Fees for MTech: INR 1.4 LPA- INR 9 LPA

Admission Criteria for MTech: Merit/entrance basis

Types of Jobs after MTech:

• Analytics Architect
• Software Programmer
• Analytics manager
• Software Designer
• Analytics product manager
• Big Data analyst
• Analytics specialist
• Business intelligence analyst
• Data analyst, data engineer
• Business intelligence architect
• Data scientist
• Web Application Developer
• Data mining analyst
• IT Analyst

Average Placements after MTech: INR 5 LPA- INR 10 LPA

PhD in Data Science

The PhD in Data Science is usually a 5 year doctoral program. Moreover, the basic eligibility criterion is to pass masters or MPhil from a recognized institute or University. Furthermore, some institutes also accepts National Level entrance scorecard such as GATE/NET/UGC JRF/SLET etc.

In addition, the scope of PhD courses is also great. Besides that, the candidate could not only work in any technical sector and could also work as professor or lecturer in technological institutes. Furthermore, the candidate has to appear for written test followed by GD and PI. Besides that, the final selection occurs on the basis of performance in PI. Lastly, the data science jobs in India are given on the basis of experience and educational qualification.

Colleges/Universities offering PhD in Data Science

College Name	Affiliated University	Eligibility
Christ University	N/A	M.Phil. + NET
Shoolini University	N/A	UGC NET/JRF/MPhil etc.
Techno India University	N/A	NET
JIS University	N/A	Masters + entrance
AIPH University	N/A	NET
Maharishi University of Information Technology	N/A	UGC JRF/NET/SLET/GATE etc.

Average Fees for PhD in Data Science: INR 2.6 LPA- INR 3 LPA

Admission Criteria for PhD in Data Science: Merit basis

Average Placements after PhD in Data Science: INR 5 LPA – INR 8 LPA

What to do after PhD in Data Science?

There are different career options after completing PhD in data science. Moreover, the experienced candidates are hired at a good post. Furthermore, the pay scale of highly qualified individual is also high in the field of data science. In addition, the candidate could work as a lecturer or professor in IT field after completing PhD course.

Some of the companies that recruit PhD candidates are:

• Aditya Birla group of data and analytics
• Genpact
• Tredence
• Course5 Intelligence
• BRIDGEi2i Analytics Solutions
• IBM
• Accenture

Job roles:

• Lecturer
• Professor
• Researcher
• Engineer
• Manager etc.

Data Science Job Roles &Levels in India

The career in data science is increasing as the technology is gaining popularity. Moreover, various big as well as small companies even the start-up business requires qualified professionals to handle and optimize the data carefully. Furthermore, the main role of a data science job is not only to extract the data from a bulk source and transfer it to one place to another, but to optimize and alter the data and design the models that are able to predict the future profit and loss on the basis of past inputs. In addition, the average salary of a data scientist in India is approximately around INR 8-10 LPA.

Data science jobs in India:

• Firstly, the aspirant must have the knowledge of various software as well as programming language such as python, Hadoop, pig, SQL etc.
• Secondly, an in-depth knowledge of algorithm as well as mathematics is also necessary to carry out various functions.
• Thirdly, data science jobs in India are offered on the basis of educational qualification and performance in PI.
• Moreover, there are several data science jobs after passing UG, PG or PhD in Aviation Management.
• In addition, some of the top recruiters of this field are Amazon, Flipkart, Accenture, fractal, delloitte, MUSigma etc.

List of Data Science jobs in India:

• Data analyst
• Business intelligence analyst
• Data engineer
• Quantitative analyst
• Data scientist
• Machine learning engineer
• Data architect
• Actuarial scientist
• Database administrator
• Statistician
• Enterprise architect
• Application architect
• Mathematician
• Machine learning scientist

Data Scientist: Beginner, Mid-Experienced& Highly Experienced

Firstly, Average Salary for Beginners: Rs 4 LPA to 5 LPA

Secondly, Average Salary for Mid-Experienced: Rs 7 LPA to 8 LPA

Thirdly, Average Salary for Highly Experienced: Rs 8 LPA to 10 LPA

Application architect: Beginner, Mid-Experienced& Highly Experienced

Firstly, Average Salary for Beginners: Rs 2 LPA to 3 LPA

Secondly, Average Salary for Mid-Experienced: Rs 4 LPA to 6 LPA

Thirdly, Average Salary for Highly Experienced: Rs 6 LPA to 8 LPA

Business Intelligence Developer: Beginner, Mid-Experienced& Highly Experienced

Firstly, Average Salary for Beginners: Rs 2 LPA to 3 LPA

Secondly, Average Salary for Mid-Experienced: Rs 4.5 LPA to 6.5 LPA

Thirdly, Average Salary for Highly Experienced: Rs 6 LPA to 8 LPA

Machine Learning Engineer: Beginner, Mid-Experienced& Highly Experienced

Firstly, Average Salary for Beginners: Rs 3 LPA to 5 LPA

Secondly, Average Salary for Mid-Experienced: Rs 5 LPA to 11 LPA

Thirdly, Average Salary for Highly Experienced: Rs 11 LPA to 20 LPA

Data architect: Beginner, Mid-Experienced& Highly Experienced

Firstly, Average Salary for Beginners: Rs 5 LPA to 6 LPA

Secondly, Average Salary for Mid-Experienced: Rs 7 LPA to 10 LPA

Thirdly, Average Salary for Highly Experienced: Rs 10 LPA to 15 LPA

Clinical Data Scientist: Beginner, Mid-Experienced& Highly Experienced

Firstly, Average Salary for Beginners: Rs 2 LPA to 3 LPA

Secondly, Average Salary for Mid-Experienced: Rs 3 LPA to 6 LPA

Thirdly, Average Salary for Highly Experienced: Rs 6 LPA to 10 LPA

Machine Learning Scientist: Beginner, Mid-Experienced& Highly Experienced

Firstly, Average Salary for Beginners: Rs 5 LPA to 5.5 LPA

Secondly, Average Salary for Mid-Experienced: Rs 6 LPA

Thirdly, Average Salary for Highly Experienced: Rs 7 LPA to 10 LPA

Data Engineer: Beginner, Mid-Experienced& Highly Experienced

Firstly, Average Salary for Beginners: Rs 5 LPA to 6 LPA

Secondly, Average Salary for Mid-Experienced: Rs 8 LPA to 10 LPA

Thirdly, Average Salary for Highly Experienced: Rs 10 LPA to 15 LPA

Actuarial Scientist: Beginner, Mid-Experienced& Highly Experienced

Firstly, Average Salary for Beginners: Rs 6 LPA to 8 LPA

Secondly, Average Salary for Mid-Experienced: Rs 10 LPA

Thirdly, Average Salary for Highly Experienced: Rs 10 LPA to 15 LPA

Frequently Asked Questions about Data Science in India

Which course is best for data science?

Data Science is a broad term. Furthermore, there are various types of data such as known data, unknown data. Moreover, it is essential to understand that there are different specializations in the field of data science. Furthermore, all the data is not considered same. In addition, every field has its own specialty. Besides that, this field has different concept than machine learning or data analytics.

Various Data Science courses:

• BE/BTech
• BSc
• BCA
• MBA
• MCA
• MTech etc.

BTech in data science is regarded as the best course. Moreover, admission in various courses occurs on the basis of merit as well as marks in entrance examination.

Furthermore, the data needs to be modified as evolved by the usage of certain techniques and tools. Thus, the Data Science is considered as the branch of science which deals with the study of domain expertise, scientific methods, algorithms, programming, statistics etc. In addition, various other specializations are incorporated in the data science to design model which could predict the future data.

Moreover, Data Science is involved in extracting the knowledge as well as insights from the data.

Furthermore, Data Science courses could be used to attain knowledge about the processes and behavior as well as programming the algorithm that could process the large amount of data in less time period.

In addition, there is a vast scope in this field that offers jobs in different sectors. Besides that, the basic pay scale after completing graduation in data science is around INR 8.5 LPA.

What is eligibility for data science course?

Undergraduate Eligibility criteria:

• Firstly, candidates belonging to the stream of engineering, mathematics, computer science, economics, statistics as well as chemical engineering could apply for data science courses.
• Secondly, candidates must have passed class 12^th from science stream (PCB).
• Thirdly, admission in BE/BTech courses takes place on the basis of marks secured in National/state level entrance examination.
• Moreover, the minimum eligibility to appear in IIT-JEE exams is to possess atleast 60% marks in class 10+2.
• Lastly, seats are allotted on the basis of merit in last qualifying exam followed by counselling session.

Postgraduate Eligibility criteria:

• Firstly, the PG aspirants must possess a bachelor’s degree from a recognized university or institute in relevant field.
• Secondly, admission in ME/MTech/MBA takes place on the basis of valid entrance scorecard of GATE/CAT/MAT/XAT etc.
• Thirdly, short-listed candidate need to appear in personal interview conducted by respective university/institute.

PhD Eligibility criteria:

• Firstly, the candidates seeking admission in PhD must possess masters in data science.
• Secondly, MPhil or NET qualified students are also eligible for PhD.
• Thirdly, the candidate should pass the personal interview to get selected in PhD courses.

What are courses in data science?

There are different levels of data science courses. Furthermore, admission in data science courses takes place on the basis of merit as well as entrance examination. Moreover, certain universities/colleges organize their own entrance test which is followed by GD and PI. Furthermore, there is counselling session held by some universities and colleges on the basis of marks in National level scorecard. Lastly, some of the entrance examination for admission in the field of data science courses in India are CAT/MAT/XAT/GATE/JEE Main/JEE Advanced/CUET/DUET/IPU CET/IIT JAM/ NIMSEE/NEST/GSAT/BITS HD etc.

Some data science courses in India are listed below:

• BE in data science
• BSc in data science
• BTech in data science
• BCA in data science
• Post Graduation Diploma in data science and data analytics
• MBA in data science and analytics
• ME in data science
• MSc in data science
• MTech in data science
• PhD in Data science

In addition, distance learning programs are also offered by various institutes. Moreover, diploma, PG Diploma as well as certificate course in different specialization of data science is also provided in India. Lastly, the candidates who could not afford to take full-time courses could apply in online or distance learning program.