Degree Course Type 

Diploma

Entry Level Qualification 

Class 10+2

Degree Course Duration 

2 Year

Course Fields 

Science, Computer

Degree Course Entrance Exam 

CUET UG, CUET PG, TOEFL

Average Course Fee 

50000 - 100000

Average Salary Offered 

1000000

Course Details 

There are various data science courses from which data science can be acquired. Bachelor’s in data science is 3 to 4 years available in domains of engineering and science. Data science is offered along with artificial intelligence and machine learning. The eligibility to aspire data sciences is scoring 50% in class 12 for the institutions, exceptions like IITs ask for 60% marks. A Master’s in data science is based on specializations after pursuing a bachelor's in data science. MBA in data science is one of the popular courses offered in masters.

List of Popular Data Science Courses 

The list of popular data science courses in bachelor’s, master’s, and online are offered through various domains as discussed below.

Bachelors in Data Science can aspire from the following domains:

1. BSc data science

2. BCA data science

3. B.Tech of data science

Master’s in Data Science can be aspired from the following domains:

1. M.Tech in data science

2. MCA in data science

3. MBA in data science and analytics

4. MCA in data science and analytics

5. MSc in data science

Online data analytics and science courses along with data science fee structure and duration.

Difference between Data Science and Data Analyst

The basic difference between a data scientist and a data analyst is that the goal of the data scientist is to ask for the right decisions whereas the goal of the data analyst is to find actionable data. Data analytics include exploratory data analysis and confirmatory data analysis. The former aims in finding patterns and relationships between the given data and the latter whether the hypothesis about the data set given is true or false.

There are two forms of data analysis; one is quantitative data analysis and the other is qualitative data analysis. The quantitative data analysis portrays the analysis of numerical data that can be statistically compared, on the other hand, the qualitative data analysis is interpretive in nature, and hence, it draws conclusions from non-numerical data. 

Below are the detailed differences that have been made forward for the students to understand the basic differences between a data scientist and a data analyst.

Course Highlights 

The table below shows the highlights of the Data Science course, highlighting the admission process, eligibility criteria, and duration of the program. After the completion of the data science course, what are the job profiles where the candidates will be working after the completion of the data science course are also highlighted. The major recruiters who recruit the data science professionals have also been provided in the table.

About Course 

Data Science courses can be defined as a mixture of several scientific activities which include mathematics, graphs, statistics, calculus, algorithms, and computer programs. It aids in the discovery of patterns in raw data that may be used for formulating key business decisions.

Data science course is one of the most popular that are chosen after the 12th. It can be pursued through programs like B.Tech, M.Tech, MBA, and PGDM in data science with combinations in subjects like artificial intelligence, machine learning, etc. Data Science focuses on analysing, recording, and storing data to extract future predictions along with insights, from structured to unstructured data.

Why Choose Course And Required Skills 

Data science course has been demanded by most undergraduate aspirants across India. Here are the reasons why a data science course is demanded and chosen as the best course for higher studies.

Limited number of applicants

There are very few people out there who acquire the required skill to become a data scientist. When analysed it can be easily calculated through the statistics of India that, the demand for data science is higher than the supply of the data scientists. 

Saturated field of work

Data science is the most saturated course compared to the other IT courses. It has a lot of scope and an abundance of opportunities as well as positions in the field. 

Market base

Data science experts are highly in demand. The opportunities are numerous for job seekers. It is one of the fastest-growing jobs globally offering 11.5 million jobs by 2026. Thus, globally, data science is the highest employable sector.

Lucrative salary 

Data scientists are one of the highest-paid professionals. According to recent research, it is calculated that the earnings are approximately INR 20 LPA.

Usage and visibility

The applications of data science are huge. The usage of data science is seen in consultancy services, banking, health care, and e-commerce industries. Therefore, there are abundance and versatility in jobs as data scientists. 

Reputation

Data science is highly prestigious to work as. They help companies to make smarter decisions in business. Companies are dependent on data scientists to provide decisions that will benefit their clients.

Personal growth and achievement 

Data scientists are not useful for the companies but also for themselves and their families too. Data science helps not only in building a career but also in personal growth by making wiser decisions and building up a problem-solving attitude.

Required Skill

To become successful in a Data Science course, one must have the following skills that include calculus and proficiency in mathematics, programming, statistics, communication, and interpersonal skills. 

Calculus and mathematics

The most important skill that is required for succeeding in data science is proficiency in calculus, graphs, and linear algebraic equations, as it forms the base of the subject. Proficiency in mathematics is essential because the basic skill in data science is a problem-solving skill. Therefore, one must be very calculative to function properly as a data scientist. Good knowledge of calculus and mathematics is essential because recruiters may ask to solve critical situations and problems on the spot.

Programming

The next important skill required for data scientists is proficiency in programming. Candidates must be very skilful in programming languages such as JAVA, Python, machine learning, etc. Since data science is related to problem-solving, these programming skills count as a positive side for the candidates during the whole tenure of their careers.

Statistics

Candidates should be skilled in statistics as it is one of the basic skills needed for proficiency in data science. Students have to deal with numbers as they have to deal with various problems like statistical distributions, graphs, charts, etc. Therefore, these tools should be gripped by the candidates. 

Interpersonal and communication skills

Although all the above skills are learned, the last but not the least important skill that has to be grasped is good communication and interpersonal skills. Candidates should be proficient in communicating as all the above skills are dependent on communication. If there is no effective communication, candidates will not be able to express and transfer their views and thoughts. Therefore, candidates should master the art of communicating along with mastering mathematics, programming, and statistics.

Eligibility  

The table below shows the eligibility criteria of various domains that offer data science courses such as BSc data science, B.Tech data science, MSc data science, M.Tech in data science and post graduate diploma in data science.

Entrance Exams Details 

There are various entrance exams in India for data science, depending on the level- Undergraduate, or Postgraduate.

Undergraduate-level entrance exams

A bachelor’s degree in data science is relevant to subjects like; statistics, computer science, and physical science. Below are the entrance exams at the undergraduate level for admissions in data science.

SSU CET- This entrance exam is organized by Sri Sri University for admissions in the B.Sc. data science course. 

AMET CET- This common entrance exam is conducted by the Academy of Maritime Education and Training (AMET) University for admissions in data science. 

Jain University Entrance Test- This entrance exam is conducted by Jain University, Bangalore for admissions in data science. 

There are other entrance exams conducted by various other institutes with their individual guidelines.

Postgraduate level entrance exams

Many institutes in India provide master’s courses in data science with specializations. For admission to these institutes, candidates will have to crack these data science entrance exams. Below are some of the common entrance exams that are accepted for admissions in data science.

CUET- This entrance exam is conducted by Christ University for admissions to Masters in data science.

NIMSEE- This entrance exam is a national level entrance exam conducted by NIMS University every year in offline mode. 

CUCET- This entrance exam is conducted by central universities across the country.

JNUEE- This entrance exam is conducted by Jawaharlal Nehru University for admission in data science.

Data Science Abroad Entrance Exams

Below are the entrance exams that the aspirants should cover:

1. Tests like GMAT, GRE, and language proficiency tests such as IELTS, TOEFL, and PTE are required for admission to data science top colleges.

2. Candidates can also appear for a Canadian study permit, scholarships, and allowances (if required)

3. For applying to data science courses in Canada, candidates need to have an under graduate degree in computer science applications or an equivalent field.

4. The cut of marks for admissions in data science in Canada through TOEFL is 83-96.

5. A minimum score of 6 to 7 in IELTS is required for admissions in data science in Canada.

6. Applicants need to have a GPA of 3 on a scale of 4.33 which is equivalent to 73-76% or grade B according to the Indian scale.

Degree Course Syllabus 

Candidates who opt for Data Science as a careers option have to study a wide variety of subjects. Some of the major subjects that are included syllabus of data science course are given below. The same may vary according to institutes offering this course.
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Top Colleges 

The Data Science top colleges in India can be categorized on the basis of the courses which include, post graduate courses in diplomas, masters, and bachelors. Below is the list of the top universities rendering data science courses all over India. These courses can be op-ed after class 11th for attaining a professional data science degree in India

Data Science Diploma Colleges

The tenure of Data science for diploma courses usually ranges from 6 months to 1 year. Diploma courses are for the students who do not want to waste time after their 10th and 12th in long term courses. For acquiring diploma courses in data science, aspirants need to have a bachelor’s degree in science/ business administration/ engineering/ commerce/ mathematics/ computer applications or a master’s degree in mathematics/ science/ commerce with at least 50% or equivalent marks for applying into post graduate or diploma data science courses.

Below is the name of the colleges along with fee structures that provide data science courses in post-graduate or diploma.

Top Data science colleges for Diploma:

Data Science: Bachelor’s

Bachelors in data science are available under science and engineering domains. The tenure of a bachelor’s course in data science ranges from 3 to 4 years. Data science at under graduate level is offered with machine learning and data analytics. Admissions to engineering courses are strictly done through entrance exams like JEE Main and JEE Advanced while BCA admissions are done on merit basis of class12. Candidates must have 50% aggregate marks and 60% marks for institutes like IIT. 

Below is the name of the colleges along with fee structures that provide data science courses for under graduate degrees.

Top Data science colleges for Bachelor’s:

Data Science: Master’s

Mater’s in Data science is pursued after pursuing bachelor’s in data science. Some popular courses like MSC/ MBA/ M.Tech/ MCA offer master’s degrees in data science.

Below is the name of the colleges along with fee structures that provide data science courses for master’s degrees.

Top Data science colleges for Master’s:

Study Data Science Abroad

Subjects like data science and data analytics are in great demand for all the companies in India as well as abroad. Therefore, every action that a company performs has to be looked upon by the data scientists and approved by them. All the industries such as finance, marketing, banking, and IT, require data science professionals to solve out the problems and requirements of the company. Professionals like data scientists and data analytics are the most demanded in the industry of data science. With the increase in the salary structure, data science has become the trendiest platform for all the professionals all across the world. 

Data Science Abroad Top Colleges

Postgraduate diploma courses are quite popular in the institutions of Canada. To apply for data science courses abroad, one must have completed at least 16 years of age and passed the entrance examinations. Below are the top colleges in Data Science abroad that the students can apply to pursue. 

Course Fees 

The data science course fees have been categorized into minimum and maximum fees whether further it is subdivided into private fees and government fees.
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Top Recruiters And Salary 

Top Recruiters

Other job profiles that data science engineers are recruited as- 

1. Machine Learning Scientist

2. Enterprise Architect

3. Infrastructure Architect

4. Data Architect

5. Applications Architect

6. Machine Learning Engineer

7. Business Intelligence Developer

Salary

Below is the analysis of the salaries that are received by people after taking up data science course. Candidates who acquire a offline/ online data science course as their main domain are estimated to receive INR 10 LPA for freshers (approx.). 

1. Data scientist- Rs. 7 to 8 Lakhs per annum (approx.)

2. Lecturer- Rs 6 to 7 Lakhs per annum (approx.)

3. Data engineer- Rs 5 to 6 Lakhs per annum (approx.)

4. Data architect- Rs 4 to 5 Lakhs per annum (approx.)

5. Data analyst- Rs 3 to 4 Lakhs per annum (approx.)

6. Business analyst- Rs 5 to 6.5 Lakhs per annum (approx.)

7. Business intelligence professionals– Rs 2 to 6 Lakhs per annum (approx.)

8. Big data analyst- Rs 4 to 7 Lakhs per annum (approx.)

Course Scope And Career Options 

Data Science Scope in India

The demand for data science and data analytics is emerging as the basic need of every company in India. For all the activities that a company does, there is an analyst who is there behind the decisions and formulation of a business. All the industries which include finance, marketing, banking, and IT, require data science professionals to solve out the problems and meet the requirements of the company. The performance done by analysts of a company is vital as they extract the valuable information from the decisions taken by the company. According to IBM, the data science job is the trendiest job in the whole world. With the growth of business sectors and technologies, providing growth in the pay outs, data science is creating a huge scope in economies like India.

Career Options 

Following are the best data science course job profiles that suit the data science graduates - 

Data Analyst- A data analyst is required for analysing the given data from where the important insights can be extracted for making business decisions. He/she is expected to present the data references in the form of data charts, graphs, dashboards, and reports. The salary of a data analyst starts from INR 4 lakhs.

Data Scientist- The job of a data scientist is to clean and organize data from a given project with the help of given languages like; SAS, R, and Python. They are required for numerous researches, helping the app developers’ food crying blueprint, methodologies, extracting of data and etc.

Statistician- A statistician works from the perspective of collecting, analysing, and interpreting data with the help of methodologies and procedures specific to statistics.

Data Engineer- A data engineer builds algorithms, prototypes, and conceptual models according to the blueprints created by the data architect.  The salary of a data engineer starts from INR 5 Lakhs and upwards.

Admission Process 

The admission process for all the courses is not the same but varies from course to course. The main criteria on which the admissions are done for data science course is through the entrance exam and the other by marks of the last appeared exam. The table below will highlight the admission highlights for various data sciences courses in India.