Data Science Course - Fees, Duration, Colleges, Admission, Full Form, Eligibility & Placement 2025
Update on 22 Jan, 2025
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Data Science Course Details:
Data is the heart of any business. The field of data science is so in demand that technology giants like IBM have declared data science the most trending job of the 21st century.
So, if you’re looking for something worth fortunes at any step in your career, a little insight into maths, technology, etc. can make a Data Scientist course is best for you.
Data science has deep roots in modern business, and you can go for any of the specializations in the same. The best data analysis courses help you to understand the worth of structured and unstructured data to any organization.
So, you will be analyzing the data of the past to make the best recommendations for the future. Thus, data science itself is a very vast field, and you can choose your path according to your interests.
This course is a highly professional course but its data science course eligibility is quite flexible. You can do it after 12th, graduation, post-graduation, etc. You can choose from any of the certificate courses or full-time post-graduation courses.
Going by the trend, graduates prefer full-time post-graduation courses. The masters, on the other hand, prefer to go for certificate courses. It is good to start your primary education in data science after the 12th as well.
Features of Data Science Course:
- This is a valuable course that can be started by any fresher looking to make a career in data science.
- This course can help you earn fortunes due to its great demand in the government and private sector.
- There is flexibility in the programs so that working professionals can fit into the classes.
- There are multiple specializations to choose from. This helps in getting the best field and job for you.
Data Science Course Streams:
Just like data, the data science course streams are vivid. There are multiple stages or types of data science. If you need to get something out of the structured or the unstructured data, you should have powerful tools that facilitate the results.
All of these conversions are not of the same type as data is different. Thus data science is further divided into different sections. These independent sections have their own importance. Any student can go for any of these types according to the choice and outcomes of these streams.
Hence, broadly speaking, we can divide data science into three main categories:
➥ Unstructured Data or Big Data: There are piles of unstructured data around us that need to be taken care of. Like much expected, you need to convert this big data into structured data to establish string results. Thus, big data tools and techniques are learned in these courses that help the conversion.
A quick example can be the conversion of the clicks on different products on any e-commerce platform. This is achieved using big data tools like Web APIs that help to collect the data from different websites and convert them into useful data for the business.
➥ Business Intelligence: You must have heard about the business intelligence department in many organizations. Whether it is the finance section or the human resources department of the company, they are flooded with the data.
The business intelligence cell takes this data, studies the trends, and converts them into something simpler like charts and graphs. Thus it is ready for a quick and much easier understanding of the masses.
The senior management is presented with the reports of the business intelligence. Hence, the company decides to carry on or change its existing policies on the basis of the trends.
➥ Machine Learning: As the name glorifies, in this sector, the machines are taught about the changes according to the daily changes. It uses mathematical models and algorithms to predict future trends.
Thus, you’re feeding a machine with the current trends to predict future sales or market trends. It is highly beneficial for the banking and finance sector. Thus companies can earn the privilege of factual future trends that are backed by strong data.
| Data Science Course - Highlights | |
| Course Type | Undergraduate Degree/Post-graduate/Certificate Courses |
| Full-Form | Data Science Courses |
| Course Duration | 3 months to 3 years |
| Eligibility Criteria | 12th class/ Graduation/ Post-graduation |
| Admission Procedure | Entrance exams or based on previous results |
| Fees | Starts from 20,000INR and goes up to 20,00,000 INR |
| Job areas | Business Intelligence Data Intelligence Data Scientists Data Analytics Statistician Analytics Manager |
| Top Companies | IBM, Government sector, Research Laboratories, Academics, etc. |
| Average Salary | 5 Lakhs per Annum |
| Data Science Courses | |
| Post Graduate Diploma in Business Analytics | Post Graduate Diploma in Data Science, Business Analytics, and Big Data |
| MBA in Data Sciences and Data Analytics | Business Analytics and Intelligence |
| Certificate Program in Business Analytics | Post Graduate Diploma in Data Science |
Eligibility Criteria of Data Science Course:
- Do you know that you can apply to the data science course at any time of your education life? It is quite true as students who have recently passed the 12th class can apply for the bachelor’s course in data sciences. On the contrary, the graduates can go for post-graduation in the same field.
- The 12th pass students have the eligibility criteria of passing in the Science stream as it will make them well-equipped to understand the concepts of math and physics in the course syllabus. So whether you want to go into data science, machine learning, or data analysis, the concept of math will facilitate your journey throughout the data analysis courses. The students who have done the math as an additional subject also find it interesting to go for the courses in data science.
- The graduate and the post-graduate students have the option to go for the online courses or the classroom courses according to convenience or availability. The post-graduate courses require graduation in the engineering field or in the data science field while there is the availability of the certification courses as well.
- Hence, the eligibility criteria for admission to data science courses are not strict. Your passion for learning will make you succeed in this course.
Admission Process for Data Science Course 2025:
- Different colleges and universities conduct entrance exams for admission to the data science course. Hence, you have to give the online or offline exam while trying to score on the merit list.
- The most common procedure of admission followed by many institutes in India is the combination of the marks in the eligibility course plus the entrance exams. These marks are then collectively ranked, and your admission is decided.
- The entrance exams of the data science course are easy to crack. These exams focus on the basic aptitude and learning for math, statistics, and most importantly, data. You can keep a check on the website of the colleges and universities for the admission process for the data science course.
Data Science Course Fees in India:
Data science is a new concept. Many students and parents worry that they have to spend fortunes on data science course fees. However, it is not true as the different colleges and universities are providing these courses.
This availability has resulted in the reduction of the course fees.
There are different fees for the undergraduate, post-graduate, and certification courses. The best method to ensure the correct details is to go through the website of the institute and go to the fees section.
Usually, the data science course fees start from 20,00 rupees and go up to 20,00,000 rupees based on the duration and syllabus.
Data Science Course Duration:
- The duration of this course varies from three months to a maximum of three years. The advanced certification courses are completed in three months while the graduation course in data science takes up to three years.
Data Science Course Syllabus:
- The syllabus of the data science course depends on the three basic categories, i.e. machine learning, big data, and business intelligence. The aspirants have the option to choose the specialist on the basis of which the entire syllabus is designed. The focus of the data science syllabus is to make the student ready for industrial exposure.
Subjects of Data Science Course:
The field of data science is incomplete without the gamut of math, science, statistics, interpretation techniques, and tools. Hence, the subjects of data science course essentially include:
- Programming languages like R or Python
- Data Visualization and reporting
- Big Data Platforms
- Data Mining
- Risk analysis
- Cloud tools
- Software Engineering skills
- Machine learning techniques
Best Institutions for Data Science Course:
Data science course is offered by many reputed institutes in various flexible schedules. Whether you want to go for the online courses or the classroom courses, you can choose any of the following institutes based on your convenience:
- Indian Institute of Information Technology and Management – Kerala (IITM-K)- M.Sc. In Computer Science with Specialization in Data Analytics
- Ramakrishna Mission Vivekananda University (collaboration with Tata Consultancy Services Limited)- M.Sc. in Big Data Analytics
- Indian Institute of Science, Bangalore- M.Tech. In Computational and Data Science
- The Central University of Rajasthan (collaboration with Tata Consultancy Services Limited)- M.Sc. in Big Data Analytics
- Academy of Maritime Education and Training- M.Sc in Data Science and Analytics
- PSG College Coimbatore- M.Sc Data Science Integrated
- IIM Calcutta- Advanced Programme in Data Sciences (APDS)
- IIT Hyderabad- M.Tech in Data Science
- IIT Kharagpur (in collaboration with IIM Calcutta and Indian Statistical Institute Kolkata)- Post Graduate Diploma in Business Analytics (PGDBA)
- IIIT Delhi- M.Tech (Computer Science) with Specialization in Data Engineering
- IIM Bangalore- MBA in Business Analytics (MBA-BA)
- ISB Hyderabad- Advanced Management Programme in Business Analytics (AMPBA)
- Great Lakes Institute of Management, Chennai- MBA in Business Analytics
- SCMHRD Pune- MBA in Business Analytics
- Symbiosis Centre for Information Technology- MBA Data Analytics
- School of Management Studies, University of Hyderabad- MBA Business Analytics
- Loyola Institute of Business Administration, Chennai (In collaboration with TCS)- Executive Diploma in Business Analytics
All of these institutes have earned a good name in helping the students with the best career choices and good jobs.
Career & Scope of Data Science Course:
Most students struggle with job profiles after the completion of any educational course. Gladly, you will not have to struggle when you are doing a Data Scientist course.
Data science can be safely concluded as the amalgam of computer science, software development, business, business analytics, statistical mathematics, and machine learning. This combination opens the way for multiple jobs and sectors for the students of data science.
Multiple sectors have a huge demand for professionals in data science. Some of the best offerings sectors include:
Healthcare: The healthcare sector is the lifeline of any economy. The challenging times of the covid-19 pandemic have made it overloaded. There is enormous data coming from the various departments like the medical record, medical billing, clinical data, etc., in the healthcare sector. Without the judicious use of this data, healthcare systems are not able to sustain themselves.
Hence, the role of data science is vital in managing the success of the healthcare domain. The professionals can hence work on the improvement in the services, managing the future requirements, and making the healthcare domain ready for any emergencies.
Manufacturing: The concept of the manufacturing sector is easy. The ratio of output to input should be high at all times irrespective of the conditions. Hence, data science has its special space in understanding the needs of the manufacturing sector.
Starting from the production processes to the maintenance processes, all are taken by the data science professionals. The performance of the system, along with the quality assurance, quality testing is made easier with the analysis of the data.
The packaging needs and the supply chain solutions at the global level and domestic levels are the next steps. The need for automation and prospective changes to improve efficiency is realized by data science only.
E-commerce: Whether you have data handy with you, or have the trends, e-commerce is one of the budding sectors that require the help of data science. Starting from the searches to the likes, comments, and what not? All are under the scan of the data science professionals from the e-commerce and retail departments.
Companies try to understand the choice of the customers and try to make products that support the current trends. For example, there is no need to sell analog wristwatches when there is an emerging trend of smartwatches. Thus, e-commerce and retail enjoy the best business with the help of data science.
Transport: The transportation field requires data science to plan and manage transportation services. Whether it comes to the most trending means of transport or the system that requires the most attention from the service providers, all are realized by the benefits of data science.
The strengthening of the current facility, along with the modifications to accommodate future needs is the need of the hour. Data science captures the current data to reflect the most effective trends in transportation. Needless to say, safety, quality service, and low operational costs are the target of data science.
Banking and Finance: The inclusion of technology in the banking and finance sector has opened the way for data science. This sector relies heavily on the data to increase its profits and decrease its costs.
The lack of engagement between the end-user and the service provider is the weak link between the service providers.
The banking and finance sector is one such sector that needs to provide utmost safety to the users. Everyone wants to have the best banking services. Data science not only improves the mode of working in this sector but has some other advantages as well.
These are a few of the topmost sectors that are facing a shortage of data science professionals. It is easy for the students to choose the sector of working according to their interests. For example, someone from a finance background after a course in data science can go for the banking and finance sector.
There are thousands of companies working in these sectors. Hence, you don’t have to worry about your career in a data science course. It is up to you to unlock the potential of the Data Scientist course. Let us take you to the job profiles and salaries now.
Job Profiles and Salary after Data Science Course:
Once you are clear of the different options in the sector or career, it is time to search for the job profiles. Your job profile in data science determines the nature of work or specialization that you will be doing for the rest of the time.
Hence, it is equally important to pay attention to the different job roles offered in the department of data science.
The job profiles in data science vary from junior management, and middle management, and go up to decision-making roles.
Some of the best job profiles after data analysis courses are:
Business Analysts: In this role, you will be using different types of analytics tools to convert the raw data into useful information for the business. You can use prescriptive, predictive, and descriptive analysis in this field.
Data Analysts: The main work of data visualization and data manipulation is done by the data analysts. The data visualization enables the easy interpretation of the data while the manipulation helps to understand the trends better.
Data Scientist: As the name says, the one who researches the data can be called the data scientist. The most important part of the job of the data scientist is that he has to take care of the solutions to the emerging challenges in the business. Data scientists use data analysis and data processing to find the best solutions.
Data Engineer/ Data Architect: The management of the data is done through modern systems termed data management systems. The persons defined to create, manage, test, and run the data management systems are termed the data engineers or the data architects. Needless to say, they are the backbone of data science.
Statistician: Once data science has given the results, it is the turn of the statistician to interpret them. The results are of no use until the strategic steps are created to use the results. This is the core responsibility of the Statistician.
Machine Learning Engineer: The machine learning engineer prepares the algorithms and applications. The design and implementation of these tools for the better execution of machine learning is their core job responsibility.
Big Data Engineer: The big data engineer works on unstructured data. Hence, the development, testing, and maintenance of the big data tools in data science are done by the big data engineer.
Big data is the most versatile field of data science, and hence working in it can be full of fun, challenges, and rewards.
Job satisfaction among employees is incomplete without the added compensation to the job role. Hence, the following are the best salaries observed by the professionals after a good data science course:
| Profession and Salary After Data Science Course | |
| Data Analysts | INR 2 to 9.5 Lacs per annum |
| Senior Data Analysts | INR 3 to 10 Lacs per annum |
| Software Developers | INR 2 to 10 Lacs per annum |
| Software Engineers | INR 2.30 to 10 Lacs per annum |
| Senior Software Engineers | INR 4.70 to 20 Lacs per annum |
| Business Analysts | INR 2.90 to 10 Lacs per annum |
| Senior Business Analysts | INR 4.30 to 20 Lacs per annum |
| Data Scientist | INR 3.40 to 20 Lacs per annum |
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