Data Science Course Eligibility Criteria, Syllabus, Skills & Subjects

Data Science is a popular and dynamic field in the interdisciplinary domain. It fundamentally talks about taking a scientific approach to managing, processing, and interpreting huge data requirements. Data science and analytics are two of the most talked about subjects of modern times. 

They are emerging technologies transforming businesses, helping them to extract meaningful information for productive business insights. Today, businesses rely on applications of data science to manage complex business environments. Automation, efficiency, reduced labour, and upgraded customer service are some critical elements of data science and analytics.

With the increase in the importance of data science, job opportunities also tend to increase. Are you a fresh college graduate and want to build a career in data science? Well, in this case, you need to know certain prerequisites. In this article, we shall explore data science eligibility criteria in India, relevant knowledge, and the skill set required to acquire data science career goals.
 

Demand for Data Science
 

Image Source: Statista

Reports and surveys suggest that by 2026, there will be a huge surge in demand for Data Science professionals. An average of 11.5 million job openings shall be created by the end of 2026. And, as per the prediction of the World Economic Forum, the data scientist career is emerging globally.

Data Science is not only a highly employable profession, but it’s also one of the most lucrative career options. Data scientists' employment is expected to increase by 36% between 2021 and 2031, which is substantially faster than the average for all occupations. Over the next ten years, there are expected to be, on average, 13,500 job openings for data scientists. The application of data science will only increase in the near future. Henceforth, there is a huge demand for Data Science courses online and in companies globally.
 

Data Science Eligibility

It’s 2022 and the need for Data Science professionals is in the surge. Many industries are looking to hire expert data professionals. To meet the increasing demand, students are already looking forward to pursuing courses in data science. Below, we have highlighted who is eligible for a data science course.
 

Are you Eligible for a Data Science Course?

Students who are either undergraduate or graduate in data science, or related fields like computer science, business information, technology, engineering, economics, information management, mathematics, or statistics meet the Data Science Course Eligibility.

If you are a beginner or a professional and want to learn Data Science, you can! Marketing experts, Software/IT professionals, and engineers can pursue external data science programs online/offline. To opt for a regular course in Data Science, you must have knowledge of school-level subjects like Mathematics, Statistics, and more.

The minimum data science eligibility criteria in India is anyone who is from a STEM background (Science, technology, engineering, and mathematics). Such students who had studied computer programming in high school have greater chances of getting selected for the data science course.

If you are a candidate belonging to business studies, you’re also eligible for relevant courses in Data Science. Business professionals with a basic degree in Business Administration - BBA or MBA, can always opt for courses in the Data Science domain. The basic requirement for someone opting for a PhD in Data Science is a percentile of 55% in the post-graduation program.

Now let’s talk about data science eligibility criteria in India for a course in data science after the 12th standard. Students must have knowledge of maths, computer science, and statistics. Data science aspirants, post-12th, should have 50% on the academic sheet. 

Data Science course qualification for a Diploma includes a BE/BTech/MCA/MSc degree. Students here must have basic knowledge of core subjects like statistics, computers, or programming. A total of 50% and above is a must to qualify for a Diploma in Data Science.

The eligibility criteria for aspirants interested to pursue MSSc/MTech/MCA Data Science is BCA/BE/BTech degree or any other equivalent degree from a recognized university. Candidates, here, need to score a minimum aggregate of 50% marks on their university score sheet. He/she must have hands-on expertise in mathematics and statistics.
 

Eligibility Criteria For Different Data Science Programs
 

Data Science Curriculum

The highest number of data science course aspirants opt for either PG or certificate-level courses. These courses are designed mainly for graduates. Lately, degree-level programs in Data Science and Analytics have been launched. This is an initiative by technical institutes and engineering colleges in India. 

Skills & Subjects required for Data Science Subjects

For getting admitted to a Data Science course in India, you need to meet the following data scientist qualifications:

• Graduates from the STEM stream can be admitted to the DS course.
• Candidates need not have coding experience as a necessity.
• Mathematics is the primary subject for any Data Science or Data Analysis course. You must have relevant skills to model and process mathematical algorithms’ data. Maths includes topics in arithmetic, algebra, calculus, differentiation probability, statistics, & geometry.
• Data Visualization & Data Analysis are also must skills.
• Data scientists deal with coding tasks. So, you need to have knowledge of programming Languages. However, coding is not the criteria for admission to Data Science courses, nevertheless, you should learn programming languages like Java, Python, and Scala
• A good understanding of databases, stats, maths, CS, & ML are all required skills for pursuing DS Courses.
• Exposure to Big Data tools, i.e., Hadoop & Spark.
• Hands-on experience in data modelling, mining, visualization, and reporting tools.

Data Science courses help you learn these data scientist skills in 2022:

Data Science Syllabus

A Data Science course syllabus is drafted to help students master industry-relevant skills. The DS syllabus aims to teach you data science basics. The syllabus is designed such that it pays to heed open-source tools, libraries, databases, SQL, Python, R, data visualization, data analysis, and machine learning.

There are many online data science courses that teach you the concept & methodologies of data handling. Such students who successfully complete the DS Syllabus and pass the test get online Data Science certification. According to a study Finance, information technology (IT), insurance, and professional services will account for 59% of all jobs. This is divided as follows: 19% in finance and insurance, 18% in professional services, and 17% in information technology.

Bachelor's degree holders will be able to apply for 61% of data scientist and advanced analytic positions, while 39% will require a master's or Ph.D.

Jobs in data science and data analysis are open for 5 days longer than the average for all positions, indicating that there is less competition in these career fields and recruiters must work harder to locate competent individuals.

Tools & Programming Languages Required for Data Science Course

Python
 

Python is an object-oriented programming language with in-built data structures. You must learn Python syntax & Python libraries as this language enhances your coding efficiency & makes the Data science module’s explanations easier. One of the fundamental reasons why Python is widely referred to by the community of data scientists is because of its ease of adaptation for people coming from a non-engineering background.

Number of Job Openings: 173801

Average Annual Salary: INR 4.4 Lakhs per year
 

R
 

R is a computing programming language that is widely used for data science and machine learning. R in data science is quite adaptable as it is easy to integrate with several applications and processes. It's quite popular as it has the ability to perform simple as well as complex mathematical calculations. Being an open-source computer system it kind of evolves a sense of community among its users.

Number of Job Openings: 32102

Average Annual Salary: INR 714228 per year. 

Data Visualizations
 

Data Visualization helps you gain insights into data science and data analytics. Such candidates who master data visualization can better understand data patterns & focus their attention on DS courses. Try to gain knowledge about data visualization software like Tableau.

Algorithms
 

To be a data scientist, you need to have expertise in machine learning and deep learning algorithms. Try to master algorithms like SVM and Random Forest to have a better grasp of data science and machine learning modules.
 

Topics Covered in Data Science Courses

India has many universities and online websites offering data science courses. Almost all of them have four major components in their data science courses. These include Machine Learning, Big Data, Artificial Intelligence, Big Data, and Data Modeling, Applied statistics, Data Manipulation, Natural Language Processing, TensorFlow, and more.

So, now you know all the basic requirements to pursue a data science course. 2022 is the ideal time for you to decide on a future that can reap promising opportunities. Just examine your skill sets and opt for the course that suits your career goal.