ALL About Online Data Science Program - Fees, Syllabus, Salary Range

Data Science is one of the branches of computer science engineering. During the study of a bachelor’s degree whether a B.Tech or B.E. or B.Sc in computer science or a Bachelor of Computer Application (BCA) degree, What students learn about Data Science is just an overview.

Have you ever wondered how OTT Platforms like Netflix Amazon, and Hotstar recommend movies or web series of your choice? How do social media platforms like Instagram and Meta automatically tag the recognized individual face? How do banks recognize their loyal customers? or how the drug discovery process has been simplified? With the Data Science Course, you will study all these phenomena and learn how they work.

Introduction to Data Science Course

Data Science is one of the branches of computer science engineering. During the study of a bachelor’s degree whether a B.Tech or B.E. or B.Sc in computer science or a Bachelor of Computer Application (BCA) degree, What students learn about Data Science is just an overview. However, if students want to step into the ever-evolving domain of Data Science, they will develop deeper knowledge and working experience. 

There are ample online courses available in Data science that open the doors to several incredible job opportunities for you. Several online universities nationwide offer Data Science courses with an online mode of learning whether the course is a UG, PG, Diploma, or Certification course in Data Science.

The Online mode of learning lets students study Data Science courses whether they are working professionals, international students, or remote areas students. The curriculum of Data Science courses blends programming, mathematics, and data statistics knowledge to obtain significant insights from data. 

To perform tasks in which human intelligence is a prerequisite, aspiring Data Science individuals have to apply Machine Learning (ML) techniques to numbers, texts, images, audio, video, etc. This helps businesses to grow by translating the outcomes into tangible business values. 

Model of Data Science

1. Data Acquisition: Data Acquisition is the very first step where Data Scientists have to collect data based on business issues or problems.
2. Data Preparation: This step includes data cleaning, transformation, processing, stating, and data architecture.
3. Data Modelling: Data Scientists have to use Machine Learning techniques to identify the best business model. Data Modelling includes data defining, refining, and data classification.
4. Visualization and Communication: This model includes Business Intelligence (BI) and decision-making. 
5. Deploying the Model: This phase consists the testing process of the model before deploying the model for commercialization.
6. Exploratory Data Analysis (EDA):  This phase includes the maintaining performance of the model through constant predictive, qualitative, analysis, text mining, and regression to monitor and investigate the smooth functioning of the model.

Data Science Course Highlights

Comprehensive Curriculum of Data Science

Data Science Course duration

The duration of the Data Science Course lasts from 10 weeks duration to 5 years. However, the duration of the course depends on the university that is offering the course. There are short-term Data Science courses 

Admission Procedure

To get admission to Data Science, students need to follow the below-mentioned steps:

1. Interested individuals are advised to visit the official website of the particular university. 
2. Applicants should register themselves on the online portal of the concerned university, by creating a user ID and Password.
3. By clicking “Apply Now”, Applicants may continue to fill out the Online Application form.
4. Applicants are advised to submit their prior education transcripts such as Mark sheets and passing certificates, etc.
5. After the successful submission of the online Application form, candidates will get their confirmation from the university.
6. Applicants are advised to make course payments (set by the concerned university).
7. Finally, Applicants will get their unique enrollment numbers designated by the concerned university through official emails.

Data Science Course Eligibility

1.    For UG-level Courses

Students who have completed their higher secondary education from a recognized board of education.

They should have attained considerable aggregate marks in higher secondary education (10+2).

1.    For PG level Courses

 To get enrolled in a postgraduation Data Science course, students should hold an undergraduate degree from any recognized university in a relevant field.

Some online universities require students to qualify in the relevant entrance exams.

Fee Structure for Data Science Courses

The Fee structure of the Data Science course may vary for different universities/ institutions. The course fee also depends on whether the course is being delivered online or offline.

Under Graduate: ₹32,000 to 35.64 lakhs*

Post Graduate: ₹15,000 to 13.60 Lakhs*

Doctoral: ₹31.50 lakhs*

Diploma: ₹45,000*

Expected Data Science Course Salary

In the below-mentioned table is the average salary of Data Scientists employees:

Frequently Asked Questions (FAQs)

Q1. What are the core subjects of online data science courses?

A1. Data Science helps in extracting out the valued insights and deeper knowledge. The core subjects are Machine learning, Big Data, Data Analytics, Programming Language, Python R, Business Analysis, and SQL in the Data Science Subjects.

Q2. Do candidates need to learn coding while pursuing Data Science courses?

A2. Data science incorporates coding as a crucial component. Yet, having a grasp of programming enhances comprehension of key concepts. Therefore, initiating the learning process with fundamental programming principles is advisable. Over time, individuals can acquire proficiency in the requisite programming languages. Numerous data science courses provide introductory programming modules, facilitating the establishment of a solid foundation for learners.

Q3. What are the eligibility requirements for a data science course?

A3. A bachelor's degree in relevant fields like mathematics, computer science, computer applications, or equivalent is required for eligibility to pursue a master's degree. Students should hold their prior educational degree in science. For those with non-technical backgrounds starting a Data Science course, familiarity with basic analytics tools like SQL, Excel, or Tableau can be advantageous.