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    Data Science

    All About Data Science Courses

    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 BTech, MTech, MBA, and PGDM in data science with combinations in subjects like artificial intelligence, machine learning, etc. Data Science focuses on analyzing, recording, and storing data to extract future predictions along with insights, from structured to unstructured data. 

    Highlights: Data Science Courses

    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.

    Particulars

    Details 

    Admission Process

    Entrance exam based and merit-based 

    Eligibility  Criteria

    • UG - 10+2 qualified candidates in the Science stream
    • PG - Bachelor’s degree in a relevant discipline or field
    • PGD - Bachelor’s degree in a relevant discipline or field

    Duration of programs

    • Under Graduate - 3 to 4 years
    • Post Graduate - 2 years
    • Post Graduate Diploma - 2 years

    Job Profiles

    Data Scientist, Data Analyst, Applications Architect, Machine Learning Scientist, Enterprise Architect, Data Architect, etc

    Major Recruiters

    Amazon, Flipkart, Cognizant, Wipro, HCL, Dell, IBM India, Infosys, Wallmart, Genpact, Accenture, Microsoft, Reliance, etc. 

    Average Annual Course Fee (In Indian Rupees)

    • B.Sc Data Science- 50k to 100k
    • B.Tech Data Science - 180k
    • M.Sc Data Science - 20k to 70k
    • M.Tech Data Science - 50k to 200k
    • Post Graduate Diploma in Data Science - 30k to 500k

    Why Choose Data Science Course?

    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 analyzed 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.

    How many courses are there in Data Science?

    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 master's.

    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.

    Bachelor’s in Data Science can aspire from the following domains:

    • BSc data science
    • BCA data science
    • BTech of data science

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

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

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

    Certificate 

    Duration 

    data science fee

    IBM Data science professional certification

    10 months

    Rs. 2920 (approx)

    Applied data science with Python

    5 months

    Free 

    HarvardX’s data science professional certificate 

    1 year 5months

    Rs. 33,000

    Amazon AWS big data certification 

    170 months

    Rs.22,500

    Data curation professional

    3-18 months

    Rs.18,700

    Elements of data science

    5 months

    Rs.22,500

    Business analytics and data science course

    6 months

    Rs.48,000

    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, 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.

    Parameter 

    Data Analytics

    Data Science

    Goal 

    To find auctionable data 

    To ask for the right question

    Scope 

    Macro 

    Micro 

    Skills required 

    • Knowledge of intermediate statistics
    • Excellent problem-solving skills
    • Dexterity in Excel and SQL database
    • Knowledge of maths, advanced statistics, and predictive modeling
    • Proficiency in big data tools like; Hadoop and Spark
    • Experience with data visualization such as Qlikview, D3.js, and tabeleu

    Major industries 

    • Healthcare
    • Gaming
    • Travel
    • Industries with immediate data needs
    • Machine learning
    • Artificial intelligence
    • Search engine engineering
    • Corporate Analytics

    Data Science Eligibility Criteria

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

    Courses

    Eligibility criteria for Data Science

    BSc Data in Science

    Students who have qualified Class 12th and studied Physics, Chemistry, and Mathematics or Computer Science or Statistics from a recognized Board or equivalent are eligible for BSc Data in Science

    BTech in Data Science

    Students who have qualified Class 12th  with 70% aggregate in the Science stream and who have studied the Physics, Chemistry and Mathematics group compulsorily and with a minimum aggregate score of 50% in Mathematics are eligible for BTech in Data Science

    MSc in Data Science

    • BE or BTech degree holders in a relevant discipline can apply for MSc in Data Science
    • BSc IT or BSc Computer Science or BSc Statistics or BCA or BSc Mathematics students who have qualified from a recognized university with at least 50% aggregate marks can apply. 
    • Students who have qualified in Statistics or Mathematics for at least 2 years are eligible for MSc in Data Science

    MTech in Data Science

    Students who have qualified BE or BTech degree with a minimum overall aggregate score of 50% from a recognized university are eligible for MTech in Data Science

    Post Graduate Diploma in Data Science

    Students who have qualified BTech or BE or MTech or MCA or MSc degree with a constrict knowledge in statistics or computer programming from a recognized university are eligible for  Post Graduate Diploma in Data Science

    How to get Admission to Data Science?

    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.

    Degree

    Admission Highlights

    BTech

    Institutes offer admission in BTech on the basis of

    • Entrance exam scores like JEE Main, UPESEAT, SUAT, UPSEE etc 
    • Marks of the 10+2 examination or equivalent exam

    MTech 

    Institutes offer admissions in MTech  on the basis of 

    • National level and state level entrance exam scores like GATE, Gujarat PGCET, TS PGECET, UPSEE etc 
    • Marks of the 10+2 examination or equivalent exam

    BSc

    Institutes offer admission in BSc on the basis of 

    • Some reputed entrance exam scores like AMET CET, SSU CET, Jain University Entrance Test, KR Mangalam Entrance Test etc 
    • Marks of the 10+2 examination or equivalent exam

    MSc

    Institutes offer admission in MSc to the applicants on the basis of marks of the previous  qualified exam 

    Post Graduate Diploma in Data Science

    Institutes offer admission in Post Graduate Diploma in Data Science to the applicants on the basis of marks of the previous qualified exam 

    Data Science Entrance Exams

    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 Top Colleges in India

    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 oped 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

    Bachelor’s 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:

    Courses (bachelor’s)

    Data science colleges

    Data science fees




     

    BCA Data Science

    Poornima University  course fee

    Rs. 3.19 Lakhs

    Vivekananda Global University  course fee

    Rs.  3.22 Lakhs

    VELS Chennai course fee

    Rs. 3.08 Lakhs

    BS Abdur Rahman Institute of Science and Technology course fee

    Rs. 2.55 Lakhs

    KL University course fee

    Rs. 1.20 Lakhs



     

    BSc Data Science

    Navrachana University course fee

    Rs. 3 Lakhs

    SRIHER Chennai course fee

    Rs. 2. 25 Lakhs

    NIMAS Kolkata course fee

    Rs. 1. 33 Lakhs

    KR Mangalam University course fee

    Rs. 3. 09 Lakhs

    MRIIRS, Faridabad course fee

    Rs. 3. 78 Lakhs

    Bachelor of Data Science

    SP Jain school of global management, Mumbai course fee

    Rs. 40 Lakhs

    Data Science: Master’s

    Mater’s in Data science is pursued after pursuing bachelor’s in data science. Some popular courses like MSC/ MBA/ MTech/ 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:

    Courses 

    Data Science colleges

    Data science fees







     

    MSc Data science course

    VIT University course fee

    Rs. 1.62 Lakhs

    Christ University course fee

    Rs. 1.80 Lakhs

    Annamalai University course fee

    Rs. 74 K

    Manipal University course fee

    Rs. 3 Lakhs

    Fergusson University course fee

    Rs. 1.20 Lakhs

    Loyola University course fee

    Rs. 1. 71 Lakhs

    MKRV College for Women course fee

    Rs. 1. 40 Lakhs

    Sastra University course fee

    Rs. 1. 40 Lakhs

    Chandigarh University course fee

    Rs. 1.20 Lakhs

    GITAM University course fee

    Rs. 2 Lakhs

    MSc Data Science and Analytics

    Jain University, Bangalore course fee

    Rs. 2.06 Lakhs

     

    MBA in Data Science and Analytics

    SCIT Pune course fee

    Rs. 13.65 Lakhs

    K J Somaiya Institute of Management course fee

    Rs. 7.82 Lakhs (1st year)




     

    MTech in  Data science

    BITS Pilani course fee

    Rs. 60 K

    IIT Hyderabad course fee

    Rs. 9 Lakhs

    IIT Guwahati course fee

    Rs. 30.8 K

    Amrita Vishwa Vidyapeetham course fee

    NA

    Sharda University, Greater Noida course fee

    Rs. 95,850 (1st year)

    IPU New Delhi course fee

    Rs. 1.20 Lakhs

     

    MCA in  Data science

    Hindustan University, Chennai course fee

    Rs. 2.50 Lakhs

    LNCT University, Bhopal course fee

    Rs. NA

    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. 

    Data science course

    College name

    Data science fees

    Masters of apple science in electrical and computer engineering course fee

    Carleton University 

    Rs. 20. 3 Lakhs

    Post degree diploma in data analytics course fee

    Langara college

    Rs. 14.74 Lakhs

    Master of science in computer science course fee

    University of Alberta

    Rs. 10.28 Lakhs

    Master of engineering in applied data science course fee

    University of Victoria

    Rs. 13.66 Lakhs

    Diploma in data science and analytics course fee

    University of Calgary

    Rs. 17.72 Lakhs

    Master in data science and analytics course fee

    Ryerson University 

    Rs. 13.47 Lakhs

    Master  of data analytics course fee

    Western University 

    Rs. 27.77 Lakhs

    Bachelor of science in data science course fee

    Western University 

    Rs. 74.39 Lakhs

    Bachelor of computer science in data science course fee

    University of Waterloo

    Not Available

    Master of data science course fee

    University of British, Columbia

    Rs. 24.92 Lakhs

    Data Science Abroad Entrance Exams

    Below are the entrance exams that the aspirants should cover:

    •  Tests like GMAT, GRE, and language proficiency tests such as IELTS, TOEFL, and PTE are required for admission to data science top colleges.
    • Candidates can also appear for a Canadian study permit, scholarships, and allowances (if required)
    • For applying to data science courses in Canada, candidates need to have an under graduate degree in computer science applications or an equivalent field.
    • The cut of marks for admissions in data science in Canada through TOEFL is 83-96.
    • A minimum score of 6 to 7 in IELTS is required for admissions in data science in Canada.
    • 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.

    What Are Data Science 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.

    Minimum fee

    Maximum fee

    Private fee

    Government fee

    Private fee

    Government fee

    Undergraduate 

    37.80 K

    97.05 K

    35.64 Lakhs

    8.39 Lakhs

    Postgraduate

    15 K

    9.02 K

    12.98 Lakhs

    2.28 Lakhs

    Doctoral 

    5.40 Lakhs

    3.81 Lakhs

    5.4 Lakhs

    6.42 Lakhs

    Diploma

    45 K

    60 K

    45 K

    2.6 Lakhs

    Data Science 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.

    Data Science Syllabus 

    Introduction to Data Science

    Statistics and Mathematics

    Domain Expertise

    Data Analysation

    Data Visualisation

    Scientific Computation

    Experimentation, Evaluation, and Project Deployment Tools

    Exploratory Analysis

    Matrix computations

    Statistical foundation for data science

    Coding 

    Machine learning Algorithms

    Data wrangling

    Data structures and Algorithms

    Optimisation techniques 

    Scholastic model

    Predictive analysis and segmentation using data clustering

    Business Acumen and artificial Intelligence

    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 most 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.

    What is Data Science 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). 

    • Data scientist- Rs. 7 to 8 Lakhs per annum (approx)
    • Lecturer- Rs 6 to 7 Lakhs per annum (approx)
    • Data engineer- Rs 5 to 6 Lakhs per annum (approx)
    • Data architect- Rs 4 to 5 Lakhs per annum (approx)
    • Data analyst- Rs 3 to 4 Lakhs per annum (approx)
    • Business analyst- Rs 5 to 6.5 Lakhs per annum (approx)
    • Business intelligence professionals– Rs 2 to 6 Lakhs per annum (approx)
    • Big data analyst- Rs 4 to 7 Lakhs per annum (approx)

    Skills That Make You Best Data Science Engineer

    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 skillful 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. 

    Career Options and Job Prospects After Data Science

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

    • Data Analyst- A data analyst is required for analyzing 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, analyzing, 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.

    Other job profiles that data science engineers are recruited as- 

    • Machine Learning Scientist
    • Enterprise Architect
    • Infrastructure Architect
    • Data Architect
    • Applications Architect
    • Machine Learning Engineer
    • Business Intelligence Developer

    FAQs about DS Courses

    What can I opt for after Data Science?

     

    After completing a data science course successfully, one can opt for Data Scientist, Data Analyst, Applications Architect, Machine Learning Scientist, Enterprise Architect, Data Architect, etc. 

     

    What is the duration of the course?

     

     The duration of data science depends on the level of studies. For a bachelor’s, the duration is 3 to 4 years. For master’s, it ranges from 2 years. If you are pursuing the data science course online, the duration will vary, depending on the terms and conditions of the conductor.  

     

    Is NIMSEE compulsory for Data Science?

     

    No, NIMSEE is also an entrance exam that offers admissions in data science. But, you can apply for other entrance exams too. Other entrance exams that offer admissions in data science such as SSU CET, AMET CET, CUCET, JNUEE, and CUET.

     

    Is Data Science a good career?

     

    Data science course is the best course to continue your career. The applications of data science are huge and the usage of data science is seen in consultancy services, banking, health care, and e commerce industries. Therefore, jobs as data scientists are abundant and versatile.

     

    Can I do Data Science after the 12th?

     

    Yes, you can pursue data science after class 12. The eligibility to aspiring data science is scoring 50% in class 12 for the institutions, exceptions like IITs ask for 60% marks

     

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