- Fees: ₹ 1,696,000
What is Data Science
Data Science is a field of study that deals with the collection, analysis, and processing various data or information to extract solutions. It deals with the understanding of many structured and unstructured data with specialised knowledge to get the required insights. Only professionals having specialised knowledge in the field of Data Science can carry out these activities.
Data Science can be defined as a mixture of implementing various scientific activities such as mathematics, calculus, graphs, charts, algorithms, computer programs, and a lot more. It is that part of science which also requires knowledge about business or commerce related fields.
With the help of data science, professionals can extract very important pieces of information, insights, and other solutions that could have never been found from big raw data. Big companies all over the world require professionals with specialised knowledge in this field to provide valuable insights, decisions, or solutions from the big bulk data of their businesses.
These insights play a very major role in making big business decisions and also helps in implementing improvements in business activities. If you are interested or willing to make a career in the field of data science, this article will provide you with every single detail that you need to know before choosing your career.
There are many colleges and universities in India that provide specialised courses and degrees in this field. But, to pursue any course in the field of data science, students should have subjects such as mathematics, computer applications, and programming as their core subject.
As data science is a specialisation of the scientific field, students from science backgrounds have great advantages and have great opportunities in this field. Students can pursue their Bachelor’s degree in the relevant field and then, go for specialised Master’s courses in this field. It is one of the best options for science graduate students to go for pursuing a Master’s in Data Science after completing their graduation.
After completing their graduation and in certain cases Post Graduation, students can get a wide range of career options from which they can choose from to work in either national or international companies, private or government institutions, technical or non-technical posts.
Eligibility Criteria (UG & PG) of Data Science
For Undergraduate level
Eligibility criteria for students willing to pursue a bachelor’s degree in data science are:
Students need to have completed their higher secondary education from a recognised board.
Students need to be from the science stream with subjects such as physics, mathematics, and chemistry, as their core subjects.
Students need to be qualified with clearing the relevant entrance exams to get admitted to their choice of college or university.
Students must be above 17 years of age.
For Postgraduate level
Following are the eligibility criteria for admission in Master’s Data Science courses are:
The students must have completed their post-graduation in science with relevant specialisations such as B.Sc. Statistics, B.Sc. Mathematics, B.Sc. Computer Science, or any other equivalent degree from a recognised board or university.
·Students should qualify in the relevant entrance exam and should have scored 50% marks in the qualifying examination.
Students with prior qualifications, specialisation, or experience in Mathematics / Statistics are preferred.
Students also need to qualify and perform well in the personal interview rounds that may take place depending upon different colleges and universities after the entrance exam.
Entrance Exams for Data Science
For Undergraduate Level
A Bachelor's degree in data science with relevant subjects such as Statistics, Computer Science, and Physical Science will help in pursuing a master's degree courses in the field of data science. Below are some of the entrance exams that students have to give to get admitted to their relevant data science college or university:
SSU CET – This exam is conducted by Sri Sri University. Students need to give this exam to qualify for getting admission into the B.Sc. Data Science course.
AMET CET– This is a common entrance exam conducted by the Academy of Maritime Education and Training University (AMET University).
Jain University Entrance Test – This common entrance exam is conducted by Jain University, Bangalore to admit students who are interested in pursuing a bachelor’s degree in data science.
There are various other entrance exams conducted by various colleges and universities with their guidelines and criteria.
For Postgraduate Level
Many colleges and universities in India provide master’s courses with specialisation in data science. But, to get admitted to these science colleges and universities, students need to qualify through relevant entrance exams. Below are some of the entrance exams that students can opt for to be eligible for pursuing a master’s degree in data science:
CUET – This is the entrance exam for students willing to get admitted to Christ University for a course in Data Science. This exam is conducted by Christ University.
NIMSEE – This is a national level entrance exam and is conducted offline. This exam is conducted by the NIMS University every year to grant admission.
CUCET– The entrance test for admission to various courses offered by the various central universities of the country.
JNUEE – The entrance exam is conducted by the Jawaharlal Nehru University.
Scope of Data Science in India and Abroad
Subjects such as Analytics and Data Science have emerged as the biggest needs of every company all over the world. For every activity that a business performs should be later analysed by data science professionals to extract valuable information.
Companies from every sector such as Finance, Marketing, Banking, and IT require professionals to manage, analyse, and give valuable solutions for their company. A data scientist is one of the most important and in-demand jobs in the field of data science.
With the salary structure and the increased demand, the job of a data scientist has been declared as one of the trendiest jobs of the 21st century, according to IBM.
With the growth of the economy of India and the growth of the business sector, data science has a great scope in India.
There is also a huge demand for professions specialised in the field of data science all over the world. Anyone from any background can make a career as a data scientist, and therefore, it is one of the best options for students willing to make a career in this field.
Course Fees Data Science
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Below are some of the subjects that students that are taught to students pursuing courses in this field:
- 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
Careers in Data Science
Students can complete courses in data science to become experts and deal with various types of data. Students have great career opportunities in this field, as there are a lot of options available to them.
After completion of these courses, students can work in various sectors such as Research Laboratories, Colleges, Universities, Government Offices, Multinational Companies, Market research companies, Tech Companies, Consultancies, and Energy sectors.
There is a huge demand for data science professionals all over the world, and job opportunities in this domain are expected to rise appx. 35 – 40% in the coming years.
Along with the opportunities, various trends and topics are also expected to evolve in the upcoming years in the field of Data Science.
In the coming years, data science will be focusing on new areas and topics. Below are some of the upcoming trends and topics in Data Science:
Automated Data Science
Data Privacy and Security
Super-sized Data Science in the Cloud
Natural Language Processing
Job Profiles and Top Recruiters
Below is a table showing different job profiles in the field of data science:
The job of a Data Scientist is to perform research activities and provide suggestions for improvement in various parts of a business organisation.
Lectures teach students to give them knowledge about the field of data science.
The job of a Data Engineer is to create data for analytical purposes.
The job of a Data Architect is to develop data management systems. His role is to look after the storing and recovery of the data.
The job of A Data Analyst is to perform various analyses of data for various purposes of the company.
The job of a Business Analyst is to look after the technical components in data and extract valuable information for the company.
The job is to provide valuable solutions by analysing data of the company.
Business Intelligence Professional
The job of a is Business Intelligence Professional is to analyse, develop, and implement various business strategies.
Big Data Analyst
The job of a Big Data Analyst is to work with data scientists and architects to implement and execute various big data solutions.
Top Recruiters of Data Science
Below is a list of some of the top recruiters in the field of data science:
Below is a table showing the average salary per annum offered in different job roles in the field of data science:
Average Annual Salary
Rs. 7 – 8 lakhs p.a. (Approx.)
Rs. 6 – 7 lakhs p.a. (Approx.)
Rs. 5 – 6 lakhs p.a. (Approx.)
Rs. 4 – 5 lakhs p.a. (Approx.)
Rs. 3 – 4 lakhs p.a. (Approx.)
Rs. 5 – 6.5 lakhs p.a. (Approx.)
Business Intelligence Professional
Rs. 2 – 6 lakhs p.a. (Approx.)
Big Data Analyst
Rs. 4 – 7 lakhs p.a. (Approx.)
Required Skillset for Data Science
Calculus and Mathematics – The most important skill that every student must possess and which forms as the base for any course in this field are mathematics and calculus. Students require to be good at calculations as the entire field is based on analysing things and making calculations to find the small improvements to be made.
Students are required to be familiar with calculus, linear algebraic equations, graphs, and other tools of mathematics. Good knowledge of calculus and mathematics will also act as a plus point for students in their recruitment procedures. The interviewer may ask basic concepts or give critical calculations at the time of selection.
Programming Skills – The next important skill that students should possess to pursue a career in this field is the basic knowledge and good understanding of various relevant programming languages.
A programming language such as Python, JAVA, and Machine Learning. is a plus point for students willing to make a career in this field. Data science also involves the use of various tools of the trade, and therefore, students should know these relevant skills.
Statistics – Statistics is a major part of data science and plays a very crucial role in job roles such as a data scientist. Students should be good at numbers, should know about statistical representations, distributions, and other tools.
Statistical skill is a skill that is required in every business and plays a major role in making decisions of the business or to design/evaluate various experiments.
Communication and Interpersonal Skills – After all these skills, students must possess good communication skills. It is of no use if a student has analysed a particular data but is unable to communicate it during the discussion sessions. Students also need to deal with various situations and different types of data in this field so they should possess other skills such as critical thinking, multi-tasking, analysing, and patience. Good interpersonal skills are also important while pursuing a career in this field.
Course Curriculum for Data Science
In data science, students are given every required knowledge to deal with various types of data and statistical figures. The curriculum is such that students get in-depth knowledge about various techniques, skills, methods, and tools required to deal with data of companies.
Courses are designed to provide specialised knowledge and training in statistics, programming, algorithms, and other analytical topics. Students are taught with skills required to extract required solutions and help in making big decisions.
Students are well prepared for getting recruited by the top companies and work efficiently with different job profiles in data science.
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Frequently Asked Questions (FAQs)
Question: What are some of the top job roles in data science?
Below are some of the top job roles in the field of Data Science are:
Question: Which are the famous institutions providing data science courses in India?
Below are some names of the top engineering institutes in India providing specialisation in data science:
· Navrachana University
· Sri Sri University
· Symbiosis Skill and Open University
· NSHM- Knowledge Campus-
· Academy of Maritime Education and Training (AMET)
· Sri Ramchandra Institute of Higher Education and Research
· Ganpat University Indian Institute of Information Technology and Management
· St. Xavier’s College
· St. Joseph University
· Jawaharlal Nehru University
Question: Is pursuing courses in the field of data science a good career option?
Making a career in this field is a good career option for students as there is a wide range of job opportunities available all around the globe.
It is the only way for businesses all over the world to get the results or insights into their operations and also get suggestions for making important business decisions.
Students can get great exposure to different types of work roles such as data designer, analyst, scientist, architect, and a lot more.
Students can also become lecturers by teaching students in colleges or universities after completing their post-graduation in this field.
Question: What is the working hour of a data science Professional?
The working hours may vary according to different job roles, situations, countries, or work. But, generally, data science professionals have to work for 8 hours per day and sometimes, even more, depending upon the urgency of the situation.
Question: What is the difference between data science and data analytics?
People often get confused about data science and data analytics. But, there is a huge difference between the two of them. Data science deals with questions to be asked in business by analysing various data and providing much broader insights.
On the other hand, data analytics is about finding the answers to the questions. Data science professionals use programming languages such as Python, and JAVA. while data analytics professionals use programming languages such as SQL, and SAS.