SRM University Chennai
- Fees: ₹ 260000
Data Science Course Details - Fees, Subjects, Syllabus, Duration, Eligibility, Career Scope
Degrees offered: B.E /B.Tech, M.Sc., B.Sc., BS, M.E /M.Tech.
What is Data Science
Data science is an interdisciplinary field of study that draws on scientific computers, statistics, and other methods to draw conclusions and knowledge from possibly noisy data. It combines mathematics and advanced analytics to turn data into actionable insights. It is a growing field and more than 600 colleges in India are offering courses in data science.
A student needs to complete their 10+2 in the Science stream exams to get admitted to a UG course in data science. Similarly, a student needs a bachelor's degree in any relevant field with a minimum score of 50 per cent to be qualified for a postgraduate degree in data science.
The top colleges that offer Data Science courses are IIT Madras, Vellore Institute of Technology, NITK, SRM University, and DTU. Students who opt for a course in software engineering get hired as Data Scientists, Data Analysts, Business Analysts, and Data Engineers at leading companies.
Highlights- Data Science
| Particulars | Values |
|---|---|
Branch Name | Data Science |
Top Courses | |
Duration | UG: Three to four years PG: Two years |
Admission Process | UG: Entrance Exam PG: Entrance Exam |
Entrance Examination | UG: JEE Mains, CUET UG, GUJCET, UPCET, MET PG: GATE, GITAM GAT, TS PGECET, SEE, TANCET |
Eligibility | UG: 10+2 with PCM and Entrance Exam PG: Bachelor's Degree in a relevant discipline with 50 per cent |
Fee Structure | Rs. 6,000 to Rs. 30.0 lakhs |
Career options | Data Science Manager, Data Science Consultant, Data Architect, and Data Scientist |
Salary Structure | Rs. 12 LPA |
Top Recruiters | Amazon, Deloitte, Flipkart, Accenture, IBM, Apple, Cisco and Google |
Specialisation or Similar Ones
Data Science is a broad field in the domain of Science and consists of various topics such as Data Mining, Data Visualisation, Programming, Software Engineering, and Machine Learning Algorithms. Some of the degrees similar or related to Data Science are mentioned below:
B.Tech Computer Science and Data Science | BE Data Science Engineering |
B.Tech and M.Tech Data Science Integrated | BE Artificial Intelligence and Data Science |
Top Data Science Colleges in India
More than 650 colleges in India offer undergraduate and postgraduate degree programmes in Data Science. These colleges are well known for their infrastructure, placements, and faculty. The table below lists some of the top universities and institutes offering Data Science courses in India.
| Colleges | Fees |
|---|---|
Rs. 62,500 | |
Rs. 1.02 Lakhs | |
Rs. 7.80 Lakhs | |
Rs. 2.79 Lakhs | |
Rs. 2.74 Lakhs | |
- | |
Rs. 17 Lakhs | |
- | |
Rs. 8.61 Lakhs | |
Rs. 4.51 Lakhs |
Top Private Data Science Colleges in India
There are many good data science private colleges in India. Private institutes are known to provide good education along with state-of-the-art infrastructure facilities. These colleges generally charge a higher tuition fee than government colleges in exchange for the facilities they provide.
| Colleges | Fees |
|---|---|
Rs. 4.98 Lakhs | |
Rs. 19.48 Lakhs | |
Rs. 15.02 Lakhs | |
Vignan's Foundation for Science Technology and Research, Guntur | Rs. 10.60 Lakhs |
Rs. 11.60 Lakhs | |
Rs. 3.86 Lakhs | |
Rs. 11.05 Lakhs | |
Rs. 11.40 Lakhs | |
Rs. 74,000 | |
Rs. 5.40 Lakhs |
Top Government Data Science Colleges in India
Various government institutes also provide Data Science courses in India. Government institutes are relatively cheaper than private institutes and provide quality education. The table below lists the top government colleges offering Data Science courses in India.
| Colleges | Fees |
|---|---|
Rs. 6.36 Lakhs | |
Rs. 1.44 Lakhs | |
Rs. 9.38 Lakhs | |
Rs. 57,000 | |
Rs. 8.91 Lakhs | |
Rs. 5.87 Lakhs | |
Rs. 3.25 Lakhs | |
Rs. 2.79 Lakhs | |
Rs. 7.63 Lakhs | |
Rs. 4.20 Lakhs |
Eligibility Criteria (UG & PG) of Data Science
Data Science courses are available at both undergraduate and postgraduate levels. The candidates should check the eligibility criteria before applying for admission. Students applying for a Data Science course should have an interest in Computers, Statistics, and Mathematics. Mentioned below are the eligibility criteria at the undergraduate and postgraduate levels.
Eligibility Criteria for UG Courses
Students wanting to apply for undergraduate admission to a Data Science course should check the eligibility criteria of the desired institute before applying for the same. Most colleges accept students based on their scores in 10 + 2 examinations while some colleges require students to appear for entrance exams.
Students need to have completed their higher secondary education from a recognised board.
Candidates should be from the science stream and should have subjects such as physics, mathematics, and chemistry, as their core subjects.
Candidates are required to clear relevant entrance exams specified by the chosen institute.
Aspirants must be above 17 years of age to pursue Data Science courses.
Top Entrance Exams for UG Courses
To gain admission to top colleges, candidates should appear for the respective entrance examination conducted at national, state, and university levels. Below, we have provided some of these Data Science entrance exams.
| Exam Name | Exam Level | Condcuting Body | Exam Schedule |
|---|---|---|---|
National | NTA | ||
National | IITs | ||
National | NTA | ||
University | MAHE |
Eligibility Criteria For PG Courses
The eligibility criteria for the course can be checked on the official website of the institute or the programme brochure. While some universities require students to take entrance tests, others accept them based just on their scores in their bachelor’s degree.
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 score qualifying marks in the relevant entrance exam and should have scored 50 per cent marks in the same.
Students with prior qualifications, specialisation, or experience in Mathematics / Statistics are generally preferred.
Students also need to qualify and perform well in the personal interview rounds that may take place depending on different colleges and universities.
Top Entrance Exams for PG Courses
Admission to PG courses in Data Science is done based on students’ scores in entrance exams like GATE, CUET PG are others. Details regarding these exams are furnished in the table below:
| Exam Name | Exam Level | Conducting Body | Exam Schedule |
|---|---|---|---|
National | IITs | ||
National | NTA | ||
State | Anna University | ||
University | Sage University | - |
College Predictors VIEW ALL
Scope of Data Science in India and Abroad
Subjects such as Analytics and Data Science have emerged as the biggest needs of companies worldwide. Every business activity should be analysed by data science professionals to extract valuable information. Companies from sectors such as Finance, Marketing, Banking, and IT require professionals to manage, analyse, and provide valuable solutions.
The demand for Data Scientists is high and is expected to grow as businesses and organisations continue to collect and analyse big data to gain insights and make informed decisions. According to IBM, the increasing demand has led to data science being declared as one of the trendiest jobs of the 21st century.
Course Fees Data Science
| Minimum Fees | Maximum Fees | |||
|---|---|---|---|---|
| Private | Government | Private | Government | |
| UG |
45.00 K
B.Sc.(Hons) in Data Science at Jagarlamudi Kuppuswamy Choudary College, Choudaripet
|
---
Data not available
|
30.50 Lakhs
B.E /B.Tech in Data Science at Plaksha University, Mohali
|
11.67 Lakhs
BS in Data Science at Indian Institute of Technology Kanpur
|
| PG |
---
Data not available
|
---
Data not available
|
25.00 Lakhs
M.Voc. in Data Science at Silver Oak University, Ahmedabad
|
3.60 Lakhs
M.E /M.Tech. in Data Science at Dr B R Ambedkar National Institute of Technology Jalandhar
|
| DOCTORAL |
---
Data not available
|
2.35 Lakhs
Ph.D in Data Science at Indian Institute of Science Education and Research Thiruvananthapuram
|
5.75 Lakhs
Ph.D in Data Science at Woxsen University, Hyderabad
|
3.89 Lakhs
Ph.D in Data Science at Indian Institute of Science Education and Research Bhopal
|
| DIPLOMA |
45.00 K
Diploma in Data Science at Mewar University, Chittorgarh
|
25.20 K
Diploma in Data Science at College of Applied Science, Mavelikara
|
1.71 Lakhs
Diploma in Data Science at Shri Ramswaroop Memorial University, Barabanki
|
3.25 Lakhs
Diploma in Data Science at International Institute of Information Technology Bangalore
|
Course Subjects
The subjects taught in the curriculum of Data Science aim to provide students with the knowledge and skills required to draw meaningful conclusions out of different forms of data through analysis. Students gain problem-solving skills and presentation skills through practical lessons and modules that form a part of the course.
Data Science UG Subjects
Undergraduate data science coursework is generally divided into six semesters. The course curriculum set by Ganpat University is designed in such a way that it provides students with the ability to apply knowledge of mathematics, logic, and programming languages to solve real-time problems.
First Year | |
Introduction To Programming-I | Data Analysis-I |
Digital Electronics | Fundamental Of Mathematics |
Communication Skills | Web Designing –I |
Computer Maintenance And Troubleshooting | Principles Of Management In Bhagavad Gita |
Introduction To Programming-Ii | Data Analysis-Ii |
Information Technology | Effective Writing Skills |
Basic Statistics | Professional Ethics |
Web Designing-Ii | Microprocessor Programming |
Second Year | |
Data Structure | Advanced Database Management System |
Object Oriented Concepts And Programming | Advance Statistics |
Introduction To Artificial Intelligence | Environment Disaster Management |
Gui Programming | Web Designing-Ii |
Data Visualization | Software Engineering |
Operation Research | Software Quality Assurance |
Third Year | |
Python Programming | Introduction To R Programming |
Data Mining | Linear Algebra And Probability Distribution |
Industrial Project – I | Professional Ethics And Life Skills |
Industrial Project – Ii | - |
Data Science PG Subjects
Data Science postgraduate programmes are usually spread over two years. The curriculum provided by Uttaranchal University is designed to provide in-depth knowledge relating to topics of data science. The curriculum comprises core courses, electives, and discipline-specific electives.
First Year | |
Mathematical Methods For Data Science | Data Science & Statistical Analysis |
Database Management System | Programming With R & Python |
Research Methodology & Ethics | Programming With R & Python Lab |
Data Analytics Algorithm | Big Data Analytics |
Matlab Programming | Data Visualization |
Latex & Word Processing | Matlab Programming Lab |
Second Year | |
Data Warehouse And Data Mining | Modeling & Simulation |
Multivariate Techniques For Data Science | Business Analytics |
Machine Learning | Minor Project/Internship |
Business Analytics Lab | Machine Learning Lab |
Artificial Intelligence & IoT | Marketing Analytics And Operations Research |
Deep Learning | Social Media & Network Analytics |
Major Project | Artificial Intelligence & Iot Lab |
Deep Learning Lab | - |
Careers in Data Science
After completion of these courses, students can work in various sectors such as Research Laboratories, Colleges, Universities, MNCs, Tech Companies, and Consultancies. Some of the job roles are listed below.
| Job Profile | Description |
|---|---|
Data Scientist | Data Scientists are professionals whose role is to perform research activities and provide suggestions for improvement in various parts of a business organisation. They analyse large amounts of information to discover trends and patterns and build predictive models and machine-learning algorithms. |
Data Engineer | Data Engineers are professionals who are in charge of planning, constructing, and maintaining the infrastructure that allows for data storage, processing, and retrieval. They deal with big data sets to build data pipelines that transport data from source systems to data warehouses. |
Data Analyst | Data Analysts are professionals whose work includes collecting and analysing data to identify trends, insights, and solutions. They require knowledge in various fields such as Maths, Economics, Statistics, and Computer science. |
Business Analyst | Business Analysts are professionals who analyse a company’s existing products, services, and systems. They identify issues in virtually any part of the organisation, including IT processes, organisation structures, or staff development. |
Upcoming trends
There is a huge demand for data science professionals all over the world, and job opportunities in this domain are expected to rise 35 – 40 per cent 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
Amazon.com Inc. Cognizant Flipkart Pvt. Ltd. Walmart Inc. Wipro Limited Deloitte Consulting LLPThere are many areas where Data Science graduates can work such as Finance, Marketing, Banking, IT, Healthcare, and E-Commerce.
Average Salary
The average salary after a Data Science course depends on many factors such as the job profile, experience and skills of the candidate, and location of the company. Below is a table showing the average salary per annum offered in different job roles in the field of data science:
| Job Profile | Average Salary |
|---|---|
Data Scientist | Rs. 7 LPA |
Data Engineer | Rs. 5 LPA |
Data Analyst | Rs. 3 LPA |
Business Analyst | Rs. 5 LPA |
Required Skillset for Data Science
There are certain skills that the students must possess to do well in their Data Science careers. Such as problem-solving skills, interpersonal skills, and programming skills. Mentioned below are some of the most important skills:
- Aptitude for Statistics and Mathematics
- Logical Reasoning
- Good Communication Skills
- Problem-Solving Skills
Course Curriculum for Data Science
In data science, students are equipped with the necessary knowledge to handle various types of data and statistical figures. The curriculum is designed to provide in-depth knowledge about various techniques, skills, methods, and tools required for data management in companies.
Data science subjects are tailored to offer specialised knowledge and training in statistics, programming, algorithms, and other analytical topics. Students are trained in the skills needed to extract essential solutions and assist in making significant decisions.
Popular Data Science Entrance Exams in India
Popular Data Science Colleges in India VIEW ALL
VIT Vellore
- Fees: ₹ 780000
- Exams: VITEEE
Christ University
- Fees: ₹ 345000
IIT Madras
- Fees: ₹ 221000
Frequently Asked Questions (FAQs)
Question: What is the scope of Data Science?
Answer :
The role of a Data Scientist is in high demand and is projected to grow as businesses and organisations continue to gather and analyse large volumes of data for insights and informed decision-making. Industries such as Finance, Marketing, Banking, and IT need experts who can handle, analyse, and derive valuable solutions from data.
Question: Who is eligible for Data Science course?
Answer :
Generally, for an undergraduate course, the candidates need to clear the 10+2 in PCM with a valid score. For a postgraduate course, candidates are required to have a Bachelor's degree in Data Science or a related discipline with a valid aggregate mark as specified by the desired institute.
Question: What are some popular entrance exams in the field of Data Science?
Answer :
Many exams are there that can provide admission to Data Science courses such as CUET UG, JEE Main, JEE Advanced, and GATE.
Question: What are the career options available in the field of Data Science?
Answer :
The career choices available in the field of Data Science are endless. Some of the popular ones are Data Science Manager, Data Science Consultant, Data Architect, and Data Scientist.
Question: What is the duration of undergraduate and postgraduate courses in the field of Data Science?
Answer :
UG courses are generally of three to four years duration, whereas PG courses are of two years.
Question: What is the difference between data science and data analytics?
Answer :
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.
Question: What is the working hour of a data science Professional?
Answer :
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: Is pursuing courses in the field of data science a good career option?
Answer :
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 results or insights into their operations and also get suggestions for making important business decisions.
Question: Which are the famous institutions providing data science courses in India?
Answer :
Top engineering institutes in India providing specialisation in data science are IIT Madras, IIT Delhi, VIT Vellore, NIT Surathkal, and BITS Pilani.
Question: What are some of the top job roles in data science?
Answer :
Below are some of the top job roles in the field of Data Science are, Data Scientists, Data Analyst, Business Analyst, Data Architects.
